Smart Infrastructures in the Iot Era

Description

Preface Contents Optimal Design of Seismic Performance of Assembled Frame Structure Based on Improved Ant Colony Algorithm 1 Introduction 2 Related Works 3 Methods 3.1 Improved Ant Colony Algorithm 3.2 Seismic Performance of Assembled Frame Structure 4 Implementation Process 4.1 The Optimal Design of Seismic Performance of Assembled Frame Structure 4.2 Application Steps of Improved Ant Colony Algorithm in Seismic Performance Design of Assembled Frame Structure 4.3 Application Potential of Improved Ant Colony Algorithm in Seismic Performance Optimization Design of Assembled Frame Structures 5 Conclusion References The All-Index Intelligent Method Identifies the Key Objects of Digital Engineering Quality Control 1 Introduction 2 Construction of a Theoretical Model for the Identification of Key Objects in Quality Control 3 A Practical Case of Identifying Key Objects for Quality Control 3.1 The Relevant Concepts of the Construction of the Key Object Identification Model for Quality Control 3.2 Identification of Key Objects of Quality Control 3.3 Identification and Stability of Key Objects of Quality Control 4 Conclusion References Design and Optimization of Civil Engineering Structural Health Monitoring and Prediction System Based on Big Data 1 Introduction 2 Related Work 3 Method 3.1 Sensor Network 3.2 Data Collection 3.3 Data Processing and Feature Extraction 3.4 Structural State Monitoring and Prediction 4 Results and Discussion 4.1 Accuracy Test 4.2 Efficiency Test 5 Conclusion References Research on the Scheduling of Heliostat Fields in Tower Solar Power Plants Based on Optical Efficiency Calculation Model 1 Introduction 2 Overview of Tower Solar Power Plants and Heliostat Technology 2.1 Principles of Tower Solar Power Plant Technology 2.2 Characteristics of Heliostat Technology 2.3 Factors Affecting the Optical Efficiency of Heliostats 3 Establishment of Optical Efficiency Calculation Model 3.1 Assumptions for Model Establishment 3.2 Establishment and Parameterization of Mathematical Model 3.3 Model Validation and Evaluation 4 Research on Heliostat Field Scheduling Based on Optical Efficiency Calculation Model 4.1 Experimental Design 4.2 Data Collection and Analysis 4.3 Discussion of Results 5 Optimization Strategy and Practical Application 5.1 Heliostat Field Scheduling Optimization Strategy 5.2 Simulation and Optimization Strategy 5.3 Case Study of Practical Application 5.4 Cost–Benefit Analysis 6 Conclusion References Simulation of High-Rise Building Fire Prevention Based on BIM Technology 1 Introduction 2 Related Works 3 Methods 3.1 BIM Model Construction 3.2 Simulating Fire Scenarios 3.3 Evacuation Simulation 4 Results and Discussion 4.1 Comparison Experiment of Fire Simulation Accuracy 4.2 Evacuation Time Optimization Experiment 4.3 Fire Risk Area Identification Experiment 4.4 Comprehensive Disaster Prevention Performance Evaluation 5 Conclusion References Damage Identification Algorithm of Bridge Structure Based on Machine Learning 1 Introduction 2 Related Work 3 Method 3.1 Machine Learning Algorithm 3.2 Bridge Structural Damage Identification Model 4 Results and Discussion 4.1 Damage Identification Model Performance Test 4.2 Performance Test Results Discussion 5 Conclusion References High-Precision Safety Monitoring System for Bridges Based on Machine Learning 1 Introduction 2 Related Works 3 Methods 3.1 Sensor Deployment and Data Collection 3.2 Data Preprocessing and Feature Extraction 3.3 Development of Deep Learning Models 4 Results and Discussion 4.1 Prediction Accuracy Testing 4.2 Real Time Data Processing Capability Evaluation 4.3 Model Extreme Climate Assessment 4.4 Long Term Stability and Reliability Assessment 5 Conclusion References Intelligent Simulation System for Hoisting and Transportation Based on Data Analysis 1 Introduction 2 Related Work 3 Method 3.1 Data Collection and Sensor Deployment 3.2 Data Processing and Analysis 3.3 Simulation System Development and Integration 3.4 System Evaluation and Optimization 4 Results and Discussion 4.1 Experimental Design and Environmental Setting 4.2 Result Analysis 5 Conclusion References Research on Wind Pressure Distribution and Wind-Induced Vibration Response of Curtain Walls in Complex Integrated Buildings 1 Introduction 2 Related Works 3 Methods 3.1 Wind Tunnel Test Overview 3.2 Test Model 3.3 Test Design 4 Results and Discussion 4.1 Extreme Wind Speed Estimation 4.2 Distribution of Mean Wind Pressure Coefficients 4.3 Distribution of Extreme Wind Pressure Coefficients in All Wind Directions 4.4 Calculation of Wind-Induced Vibration Response of Roof Facade Curtain Wall 5 Conclusion References Design of Water Supply, Drainage and Fire Water System for Construction Projects in the Context of Energy Conservation and Emission Reduction 1 Introduction 2 Related Work 3 Method 3.1 System Requirements Analysis and Energy Consumption Model Establishment 3.2 Efficient Water Supply and Drainage and Fire Protection System Design 3.3 Integrated Intelligent Monitoring and Control System 3.4 Rainwater Collection and Reuse Technology 3.5 Integration of Low Impact Development Technologies 4 Results and Discussion 5 Summary: 6 Conclusion References Analysis of Intelligent Mining Pressure Monitoring and Surface Displacement Intelligent Methods Based on Machine Learning Algorithms 1 Introduction 2 Related Work 3 Method 3.1 Data Collection and Pre-processing 3.2 Feature Extraction 3.3 Model Training and Optimization 4 Results and Discussion 4.1 Prediction Accuracy Evaluation Experiment 4.2 Computational Efficiency Evaluation Experiments 4.3 Model Stability Evaluation Experiments 5 Conclusion References Application of Linear Flow Surface Shell and Revit Parametric Modeling in Architectural Design 1 Overview of the Bionic Structure Network Shell of the Linear Flow Surface 1.1 Combination of the Parametric Modeling with the Linear Flow Surface Space 1.2 Realistic Meaning 2 Method of Fusion Linear Flow Surface Space and Bionic Building Design 2.1 Design Concept of Bionic Architecture 2.2 Design Significance of Bionic Architecture 2.3 Linear Flow Surface Space Design Method 3 Experimental Analysis of Linear Flow Surface Shells and Revit Applications 3.1 Construction of Linear Flow Surfaces in the Revit Platform 3.2 Application of Linear Flow Space in Bionic Building Design 4 Results and Discussion 4.1 Revit Parametric Modeling Discussion 4.2 Revit Parametric Modeling Findings and Implications 5 Conclusion References Research on the Whole Process Tracking Scheme of Power Grid Infrastructure Materials Based on Knowledge Graph 1 Introduction 2 Time Series Knowledge Graph of Multi-modal Data Fusion 2.1 Overview of Knowledge Development 2.2 Temporal Knowledge Graph 2.3 Multimodal Data Fusion 3 Grid Infrastructure Material Tracking Knowledge Graph 3.1 Grid Infrastructure Materials Tracking Knowledge Map Construction Requirements 3.2 Construction Method of Knowledge Graph of Power Grid Infrastructure Materials Tracking 4 Grid Infrastructure Materials Tracking Platform 4.1 Platform Layer 4.2 Service Layer 4.3 Service Layer 5 Grid Infrastructure Materials Tracking Knowledge Map Application 5.1 Material Supply Risk Assessment and Response Plan Assistance 5.2 Material Quality Supervision 6 Epilogue References Multi-timescale Energy Management for Regional Integrated Energy Systems with Hydrogen Facilities 1 Introduction 2 Related Work 2.1 Collaborative Control of Renewable Hydrogen Production System 2.2 Maintaining the Integrity of the Specifications 2.3 Energy Optimization and Regulation Strategy for Microgrid Systems 3 System Model and Problem Formulation 4 Experiments and Numerical Results 5 Conclusive Remarks References Comparative Analysis of Vehicle Loads When Designing Highway Bridges with Different Specifications 1 Introduction 2 Related Works 3 Design Details 3.1 China Design Specification 3.2 Eurocode 3.3 AASHTO 4 Results and Discussion 4.1 Design Lanes 4.2 Dynamic Load Allowance 4.3 Characteristic Value of Vertical Load 4.4 Combination of Loads 5 Conclusion References Construction Engineering Defect Detection and Diagnosis Technology Based on Deep Learning 1 Introduction 2 Related Works 3 Construction Engineering Defect Detection and Diagnosis Technology 3.1 Construction Engineering Defect Types and Diagnostic Technology 3.2 Application of Deep Learning Model in Defect Detection and Diagnosis 3.3 Implementation of Defect Detection System 4 Results and Discussion 4.1 Data Set and Experimental Environment 4.2 Experiment 1: Defect Accuracy Analysis 4.3 Experiment 2: Defect Efficiency Analysis 5 Conclusions References Research on Robustness Test Method of Photovoltaic Power Generation System Under Interference 1 Introduction 2 Research on Robustness Test Method for Photovoltaic Power System Interference 2.1 Robustness Analysis Under Interference of Photovoltaic Power System 2.2 Robustness Test Model of Photovoltaic Power Generation System Based on BP Neural Network 3 Experimental Analysis 3.1 Robustness Test Efficiency Analysis 3.2 Robustness Test Accuracy Analysis 3.3 Robustness Test Error Analysis of Photovoltaic Power Generation System 4 Conclusion References Research on the Structural Design of Automated Warehouse Stacker Cranes 1 Introduction 2 Related Works 3 Methods 3.1 Design Principles and Methodology 3.2 Detailed Process of Structural Design 4 Results and Discussion 4.1 Analysis of Experimental Results 4.2 Discussion 5 Conclusions References On the Planning and Application of BIM Technology in Building Water Supply and Drainage Information Systems 1 Introduction 2 Related Work 3 Method 3.1 BIM Technology 3.2 Design of Building Drainage System 4 Results and Discussion 4.1 Drainage System Operation Management Test 4.2 Drainage System Performance Analysis 5 Conclusion References Multi-objective Optimal Scheduling of Building Systems Taking into Account Conditional Value-at-Risk and Stepped Carbon Incentives and Penalties 1 Introduction 2 Related Works 3 Multi-objective Low-Carbon Scheduling Model for Building Systems 3.1 Building Energy Systems 3.2 Objective Function 3.3 Constraints 3.4 Multi-objective CVaR Optimization Model Under Source Load Uncertainty 4 Results and Discussion 4.1 Scenario Setting and Comparison of Results 4.2 Stepped Carbon Incentive and Penalty Price Base Impact Analysis 4.3 Impact of Confidence Level on Optimized Scheduling Results 5 Conclusions References Design and Implementation of Fire Safety Assessment and Early Warning System for High Rise Buildings 1 Introduction 2 Literature Review 3 Research Methods 3.1 Evaluation and Early Warning Objectives, Connotation and Characteristics 3.2 Overall Architecture of Early Warning System 3.3 Hardware Design 3.4 Software Design 4 Result Analysis 4.1 System Testing 5 Conclusion References Research on the Design of Large Public Buildings in the UK Based on Smart Health Monitoring Systems 1 Introduction 2 Literature Review 3 Methods 3.1 Integration and Data Collection of IoT Sensors 3.2 Data Analysis 3.3 Smart Building Design and Evaluation 4 Research Results and Discussion 4.1 Analysis of Experimental Results 4.2 Comparison with Other Methods 5 Conclusion References Analysis of Wind Reduction Effect of Wind Load on High-Rise Building Envelope 1 Introduction 2 Analysis of Wind Speed Directivity Effect 2.1 Extreme Wind Speed Edge Distribution Fitting 2.2 Wind Speed and Direction Correlation Analysis 3 Analysis of Wind Load Reduction Factor 3.1 Calculation of the Most Unfavorable Extreme Wind Pressure Coefficient 3.2 Calculation of Wind Load Reduction Factor 4 Conclusion References Civil Engineering Quality Monitoring System Based on Big Data 1 Introduction 2 Related Works 3 Methods 3.1 Introduction to System Architecture 3.2 Dataset Introduction 3.3 Random Forest Algorithm 4 Results and Discussion 4.1 Performance Evaluation Experiment 4.2 Data Throughput and Classification Performance Evaluation 4.3 Evaluation of Actual Application Effects 5 Conclusions References Application of Fuzzy Logic and Genetic Algorithm in Bridge Maintenance Decision 1 Introduction 2 Related Work 3 Method 3.1 Bridge Structure Evaluation Index 3.2 Establishment of Fuzzy Logic Rules 3.3 Encoding and Decoding of Genetic Algorithm 3.4 Definition of Fitness Function 4 Results and Discussion 4.1 Maintenance Cost 4.2 Maintenance Time 5 Conclusion References Design of Detection System of Urban Road Based on Artificial Intelligence 1 Introduction 2 Literature Review 3 System Requirement Analysis 3.1 Problem Description 3.2 Functional Requirements 3.3 Performance Requirements 4 Urban Road Damage Detection Algorithm 4.1 CenterNet Algorithm 4.2 Modified APSA Module 4.3 Improved CenterNet 5 Design and Test of Road Detection System 5.1 Overall Design 5.2 Module Design 5.3 System Test 6 Conclusions References The Development Trend of New Energy Electric Vehicles Based on Correlation Model 1 Introduction 2 Related Works 3 Methods 3.1 NEEV Development Assessment in China with PCA 3.2 Data Collection and Analysis of NEEV and TFV 4 Results and Discussions 4.1 NEEV Development Assessment in China with PCA 4.2 Analysis of the Influence Factors of NEEV on the TFV Industry 4.3 The Impact of Urban NEEV on the Ecological Environment 4.4 Model Comparison 5 Conclusions References Intelligent Connected Vehicle Information Security Detection System Based on Artificial Intelligence 1 Introduction 2 Related Work 3 Methods 3.1 System Architecture Design 3.2 Data Collection and Preprocessing 3.3 Selection and Design of Artificial Intelligence Algorithms 4 Results and Discussion 4.1 Detection Accuracy 4.2 Robustness 4.3 False Alarm Rate 5 Conclusions References Research on Safety Risk Evaluation in High-Rise Building Construction Based on Computerised BIM Technology 1 Introduction 2 Related Works 3 Methods 3.1 Safety Risk Evaluation System for High-Rise Building Construction Based on Computer BIM Technology 3.2 Calculation of Safety Risk Weights Based on Entropy Weight Method in High-Rise Building Construction 4 Results and Discussion 4.1 Safety Risk Evaluation and Analysis in High-Rise Building Construction Based on Computer BIM Technology 4.2 Determination of Safety Risk Evaluation Levels in Tall Building Construction Using Computer-Based BIM Technology 4.3 Optimisation of Safety Risk Management in Multi-storey Building Construction on BIM Technology Based on Computers 5 Conclusion References Integration of Building Information Model and Engineering Cost Calculation Based on Cloud Computing 1 Introduction 2 Related Work 3 Method 3.1 Creation and Management of Building Information Models 3.2 Model and Algorithm for Engineering Cost Calculation 3.3 Integration on Cloud-Based Computing Platforms 4 Results and Discussion 4.1 Accuracy of Cost Calculation 4.2 Calculation Time 4.3 User Experience 5 Conclusions References Intelligent Management of RFID Building Equipment Throughout Its Full Life Cycle Based on Visualization 1 Introduction 2 Related Works 3 Methods 3.1 Visualized RFID Technology and Data Collection 3.2 Intelligent Decision-Making Algorithms 4 Results and Discussion 4.1 Accuracy of Information Integration 4.2 Design of Fault Identification and Prediction Accuracy 4.3 Improvement of Automation Operation Efficiency 5 Conclusions References Porosity Prediction of Dense Sandstone Reservoir Based on Deep Neural Network 1 Introduction 2 Regional Geological Overview 3 The Porosity Prediction Method 3.1 Basic Principle of Deep Feedforward Neural Network 3.2 Characteristics of Deep Feedforward Neural Networks 3.3 Porosity Prediction Model Was Established 4 Instance Application 4.1 Geological Characteristics of the Study Area 4.2 Application Effect 5 Conclusion References Spatial Difference Analysis of Carbon Emission Characteristics Based on GIS Information System 1 Introduction 2 Related Work 3 Method 3.1 Acquisition of Carbon Emission Data 3.2 Spatial Distribution Characteristics of Carbon Emissions 3.3 Spatial Interpolation Method 4 Results and Discussion 4.1 Experimental Design 4.2 Experimental Results 4.3 Difficulties of This Experiment 5 Conclusion References Design and Analysis of Smoke Control Construction Drawing for Heating, Ventilation and Air Conditioning Based on PBR Algorithm 1 Introduction 2 Related Work 3 Method 3.1 PBR Algorithm 3.2 Smoke Control Construction Design Model for Heating, Ventilation and Air Conditioning 4 Results and Discussion 4.1 Performance Simulation of Smoke Control and Exhaust Construction Design Model 4.2 Simulation Performance Data Analysis 5 Conclusion References Study on Tending Countermeasures to Enhance Forest Carbon Fixation and Oxygen Emission Ability 1 Preface 2 Research Area and Research Methods 2.1 General Description of the Field Site 2.2 Data Sources and Preprocessing 2.3 Research Methods 3 Results and Analysis 3.1 Carbon Fixation and Oxygen Emission of Forest Corresponding to Different Vegetation Types 3.2 Forest Carbon Fixation and Oxygen Emission Amount Corresponding to Different Forest Canopy Density 3.3 Carbon Fixation and Oxygen Emission of Forest Corresponding to Different Forest Ages 4 Conclusions and Discussions References Simulation Training System of Power Dispatching Operation Command Based on Artificial Intelligence 1 Introduction 2 Related Work 3 Method 3.1 Design of Electric Power Dispatching Operation Command Simulation Training System 3.2 Application of VR Technology 4 Results and Discussions 4.1 Capability Comparison Experiments of Different Scheduling Groups 4.2 Comparative Test of System Reliability 5 Conclusion References Application of Lotka-Volterra Algorithm Model in Ecosystem Assessment 1 Introduction 1.1 Background 1.2 Restatement of the Problem 2 Assumptions and Justifications 3 Notations 4 Problem 1: Ecosystem Dynamics Modeling 4.1 Prerequisites for Changing the Sex Ratio 4.2 Food Web Modeling 5 Problem 2: Evolutionary Game Theory 6 Problem 3: Ecological Network Modeling 6.1 Construction and Solution of Ecological Network Models 6.2 TOPSIS Indicators for Evaluating Ecosystem Stability 7 Problem 4: Ecological Modeling of Multi-Species Interactions 7.1 Ecological Modelling of Multi-Species Interactions 7.2 Assessment of the Strengths of Other Ecosystem Players 8 Sensitivity Analysis 8.1 Sensitivity to Unpredictable Factors 8.2 Sensitivity to the Area Occupied by the Habitat 9 Strengths and Weaknesses 9.1 Strengths 9.2 Weaknesses References Analysis of Energy Conservation and Carbon Reduction Technologies for Regional Distribution Networks Based on Intelligent Optimization System 1 Introduction 2 Related Works 3 Methods 3.1 Transformer Settings 3.2 Evaluation Indicators 4 Results and Discussion 4.1 Test Preparation 4.2 Performance Evaluation 4.3 Actual Application Effects 5 Conclusion References Multi Object Tracking of Partial Occlusion in Traffic Scenes Based on Faster R-CNN Detection 1 Introduction 2 Related Work 3 Method 3.1 Construction of Deep Learning Detection Models 3.2 Target Association Based on Greedy Matching Algorithm 3.3 Design of Anti Occlusion Multi Target Tracking Model 4 Results and Discussion 4.1 Evaluation of Object Detection Performance Under Different Occlusion Levels 4.2 Evaluation of the Effectiveness of Greedy Matching Algorithm in Target Association 4.3 Evaluation of Multi Target Tracking Performance Under Different Occlusion Types 4.4 Stability Testing Under Different Scenario Conditions 4.5 Performance Testing in Large-Scale Scenarios 5 Conclusion References Construction of Coal-to-Electricity Operation Analysis Model and Nighttime Heavy Overload Warning Mechanism Based on Grid Diagram and Graph Convolutional Network (GCN) 1 Introduction 2 Related Work 3 Method 3.1 Convolutional Network Based on Grid Diagram 3.2 Operation Analysis of Coal Conversion to Electricity and Construction of Nighttime Heavy Overload Warning Mechanism Model 4 Results and Discussion 4.1 Operation Simulation of Mechanism Model 4.2 Analysis of Simulation Effect 5 Conclusion References Technology and Policy for Emission Control of VOCs from Industrial Sources 1 Introduction 2 Related Work 3 Method 3.1 Source Control Technology 3.2 Exhaust Gas Treatment Technology 3.3 Comprehensive Control Strategy 4 Results and Discussion 4.1 Emission Concentration Reduction Rate 4.2 Operating Costs 5 Conclusion References Research on the Application of Building Engineering Informatization and Security Management Based on BIM Technology 1 Introduction 2 Related Works 3 Methods 3.1 Principles for Constructing a Construction Safety Management System Based on BIM Technology 3.2 Composition of Construction Safety Risk Management Indicators Based on BIM Technology 3.3 Determination of Building Construction Safety Risk Management Index System Based on BIM Technology 3.4 Calculation of Risk Weights for Information Security Management in Construction Engineering Based on Entropy Weight Method 4 Results and Discussion 4.1 Safety Risk Assessment and Analysis in Construction Based on Computer BIM Technology 4.2 Determination of Safety Risk Management Evaluation Level in Construction Based on Computer BIM Technology 5 Conclusion References Optimization Design of Concrete Mix Proportions: A Comparative Study of Genetic Algorithm and Simulated Annealing Algorithm 1 Introduction 2 Related Work 3 Method 3.1 Configuration and Implementation of Genetic Algorithm 3.2 Application Details of Simulated Annealing Algorithm 4 Results and Discussion 4.1 Experimental Exploration 4.2 Result Analysis 5 Conclusions References Material Damage Identification and Evaluation in Civil Engineering Using Deep Learning: Convolutional Neural Network Model 1 Introduction 2 Related Work 3 Method 3.1 Data Preparation and Preprocessing 3.2 Model Development and Training 3.3 Implementation and Deployment 4 Results and Discussion 4.1 Accuracy and Detection Speed Under Different Methods 4.2 Recognition Accuracy and Processing Time Under Different Image Numbers 4.3 Number of Images Under Different Environmental Conditions, Accuracy Rate, False Alarm Rate 4.4 Long-Term Operational Testing 4.5 Comprehensive Application Testing 5 Conclusions References Calculation of Compressive Rebound Modulus and End Displacement of Fully Seamless Bridge Connection Pavement 1 Introduction 2 Related Work 3 Method 3.1 Implementation of Fully Seamless Technology 3.2 Evaluation of Compressive Rebound Modulus and End Displacement 4 Results and Discussion 4.1 Compaction Test 4.2 Laser Displacement Measurement 4.3 Vehicle Driving Simulation 4.4 Temperature and Humidity Variation Experiment 4.5 Material Performance Experiments 5 Conclusions References Seismic Risk Assessment Method of Underground Space Based on Fuzzy Evaluation Method 1 Introduction 2 Related Works 3 Methods 3.1 Fuzzy Theoretical Basis 3.2 Algorithm Flow 4 Results and Discussion 4.1 Prediction of Earthquake Damage Degree 4.2 Risk Assessment 4.3 Sensitivity Analysis 5 Conclusion References Transportation Path Planning System Based on Artificial Intelligence 1 Introduction 2 Related Work 3 Methods 3.1 Real-Time Data Acquisition Module 3.2 Data Processing and Analysis Framework 3.3 Development of Path Planning Algorithms 3.4 User Interface Design 3.5 System Integration Testing 4 Results and Discussion 4.1 Performance of Traditional Path Planning Systems and AI Systems Under Standard Traffic Conditions 4.2 Peak Period Simulation 4.3 Response to Abnormal Events 4.4 Multi Route Concurrent Testing 4.5 Long-Term Operational Testing 5 Conclusions References Exploration on Neural Network Algorithms in Optimization Technology of Engineering Machinery Remanufacturing 1 Introduction 2 Exploration of Optimization Technology for Engineering Machinery Remanufacturing 2.1 Remanufacturing Optimization Technology 2.2 Mathematical Principles of Remanufacturing Optimization 3 Experimental Process of Neural Network Algorithms in the Optimization Technology of Engineering Machinery Remanufacturing 3.1 Establishment of Remanufacturing Optimization Model 3.2 Exploration on the Application of Neural Networks in Industrial Engineering Machinery Remanufacturing 3.3 Performance Simulation Testing of Remanufacturing Optimization Models 4 Experiment on Neural Network Algorithms in Optimization Technology of Engineering Machinery Remanufacturing 5 Conclusions References The Application of High-Resolution Airport Oblique Photography Data in the Identification and Classification of Airport Surface Objects 1 Introduction 2 Related Works 3 Key Technologies for Oblique Photogrammetry Point Cloud Generation 3.1 Oblique Photography 3.2 Aerial Triangulation 4 Main Technical Routes for Tower Crane Acquisition of Oblique Photography 4.1 Flight Platform and Tilt Photography Camera Selection 4.2 Tower Crane Collection Operation Process 4.3 Integrated Installation of Tilt Photography and Tower Crane Equipment 4.4 Field Collection Data Collection and Technical Requirements 4.5 Internal Data Processing 5 Real-Life 3D Model Production and Discussion 5.1 Real-Life 3D Model Product Generation 5.2 Model Modification 6 Conclusion References Application of BIM Technology Combined with 3D Geological Modeling in Visualization of Geotechnical Investigation 1 Introduction 2 BIM Technology 2.1 The Main Application of BIM Technology 2.2 The Core Advantages of BIM Technology 3 Three-Dimensional Geological Modeling 3.1 Formation Interpolation Algorithm 3.2 Semivariable Function 4 Application of BIM Technology Combined with 3D Geological Modeling in Geotechnical Engineering Investigation and Visualization 4.1 Three-Dimensional Visualization Mode 4.2 Three-Dimensional Visualization Mode 4.3 Create a Three-Dimensional Structure 4.4 Build a Visual Model 4.5 Engineering Geological Analysis 5 Accuracy Inspection and Analysis 5.1 Plane Accuracy Analysis 5.2 Terrain Accuracy Analysis 5.3 DOM Accuracy Analysis 6 Conclusion References A Intelligent Fault Diagnosis Technology for Integrated Multi Type Regulating Power Supply and New Energy Collaborative Planning 1 Introduction 2 Related Work 3 Intelligent Fault Diagnosis of Hybrid System for Multi Type Regulating Power Supply and New Energy Collaborative Planning 3.1 System Model 3.2 System Designing 3.3 Automation Chain Generation Algorithm 3.4 Diagnosis Algorithm 3.5 Algorithm Complexity Analysis 4 Case Study of Diagnosis Process Based on Automation Chain 5 Conclusion References Power Calculation and Optimization Scheme for Tower-Type Solar Heliostat Fields 1 Introduction 2 Related Work 3 Methods 3.1 Geometric Model 3.2 Correlation Efficiency Calculation 3.3 Optimization Model 4 Results and Discussion 4.1 Average Optical Efficiency and Output Power 4.2 Discussion 5 Conclusion References Research and Development of Computer Aided Architectural Design Software 1 Introduction 2 Computer-Aided Architectural Design Software Development Status 2.1 External Promotion 2.2 Internal Demand 3 Application of Computer Aided Software Design 3.1 Application of CAD Software 3.2 PHOTOSHOP Software Application 3.3 The Application of 3DSMAX Software 3.4 Comprehensive Application of Three Types of Software 4 Application of BIM Model 4.1 BIM Technology Principle 4.2 BIM Technology in Computer-Aided Architectural Designing Application Value 4.3 BIM Integrated Design of Building Structure Model 4.4 Specific Design Analysis 5 Results and Discussion References Design of Monitoring System of Civil Engineering Structural Health Based on Machine Learning 1 Introduction 2 Related Work 3 Methods 3.1 Functional Requirements of Monitoring System 3.2 Determination of Monitoring Items 3.3 Structure of Dynamic Monitoring System 4 Results and Discussion 4.1 Static Load Test 4.2 Dynamic Load Test 4.3 Test Results Analysis 5 Conclusion References Optimal Seismic Design of Assembled Frame Structure Based on Genetic Annealing Algorithm 1 Introduction 2 Response of Assemble Frame Structure to Earthquake 2.1 The Characteristics of Prefabricated Buildings 2.2 Response of Assemble Frame Structure to Earthquake 3 Optimal Seismic Design of Assembled Frame Structure Based on Genetic Annealing Algorithm 4 Examples and Analysis of Optimal Design 5 Verify the Optimal Design: Verify the Effectiveness and Reliability of the Optimal Design Through Experiments or Actual Ground Motion Simulation Experiments 6 Conclusion References Comprehensive Control Analysis of Digital Engineering Quality Based on Cluster Analysis Method 1 Introduction 2 Related Work 3 Methods 3.1 The Relevant Concepts of the Construction of the Analysis Model of Comprehensive Management and Control of Engineering Quality 3.2 Analysis of Comprehensive Control of Project Quality 4 Results and Discussion 4.1 Information About the Survey Data 4.2 Comprehensive Control Analysis and Stability of Project Quality 5 Conclusion References Research on Information Management in Prefabricated Building Construction Utilizing BIM Technology 1 Introduction 2 Related Works 3 Difficulties in Prefabricated Construction Project Management 3.1 Project Overview 3.2 Challenges in Quality Management of Prefabricated Components 3.3 Challenges in On-site Coordination and Management 4 The Specific Application of Information Management in Prefabricated Building Construction 4.1 Application of BIM Management in the Design Stage 4.2 BIM Management Application in the Production Stage 4.3 BIM Management Application in the Assembly Stage 5 Conclusion References Application Research of Intelligent Building Information Modeling (BIM) and Big Data Integration in Civil Engineering Design and Management 1 Introduction 2 Related Work 3 Method 3.1 Analysis of Civil Engineering Design and Management Principles 3.2 The Role of BIM Technology in Engineering Projects 3.3 BIM System Based on Big Data Integration 4 Results and Discussions 4.1 Comparison Experiment of the Time Required for the Project 4.2 Comparative Survey of Customer Satisfaction Scores 5 Conclusion References Application of Neural Networks and Genetic Algorithms in Optimization Model for Flower Base Layout 1 Introduction 2 Theoretical Foundations 2.1 Neural Network Theory 2.2 Overview of Genetic Algorithms 3 Building of Flower Base Layout Optimization Model 3.1 Problem Definition and Model Assumptions 3.2 Design of Neural Network Model 3.3 Design of Genetic Algorithm Model 3.4 Integration of Neural Network and Genetic Algorithm Optimization Process 4 Experiment Design and Implementation 4.1 Setup of Experimental Environment and Data Collection 4.2 Experiment Setup and Model Training 4.3 Experimental Results and Comprehensive Analysis 5 Application of Flower Base Layout Optimization Model 5.1 Application Background and Demand Analysis 5.2 Application of the Model in Flower Base Layout Optimization 6 Conclusion References Bridge Health Monitoring Based on Neural Intelligent Prediction Algorithm 1 Introduction 2 Related Work 3 Method 3.1 Bridge Health Monitoring 3.2 Steps of Using Neural Intelligence Algorithms for Bridge Health Monitoring 4 Results and Discussion 4.1 Bridge Health Monitoring Data Under Different Monitoring Times 4.2 Loss Function Values, Accuracy, and Training Time Under Different Training Rounds 4.3 Real Time Monitoring Performance Experiment 4.4 Comparison of Traditional Methods and Neural Intelligence Algorithms in Relevant Indicators 4.5 Average Accuracy, Maximum Volatility, and Robustness Score Under Different Environmental Conditions 5 Conclusions References Construction Engineering Quality Improvement Management System Based on BIM Technology 1 Introduction 2 Construction Project Quality of BIM Technology 2.1 BIM Technology 2.2 Quality of Construction Projects Based on BIM 2.3 Application of BIM Technology in Engineering Quality Improvement Management 3 Implementation of Engineering Quality Management System 3.1 Quality Inspection and Parameter 3.2 Construction Engineering Management System 3.3 Construction Quality Data Collection Methods and Data Standards 4 Experimental Results of Quality Improvement System 4.1 Engineering Quality Inspection Parameter Results 4.2 Performance of Management System 5 Conclusions References Smart Agricultural Data Real-Time Monitoring System Based on Deep Learning 1 Introduction 2 Related Works 3 Methods 3.1 Convolutional Neural Networks 3.2 Crop Image Segmentation 4 Results and Discussion 4.1 Experimental Environment Setup 4.2 Forecast Results 4.3 Prediction Performance Analysis of Different Predictor Variables 4.4 Checking Algorithm Speed Performance 5 Conclusion References Optimization Allocation of Water Resources Based on NSGA-II Algorithm 1 Introduction 2 Related Works 3 Methods 3.1 Construction of Water Resource Optimization Allocation Model 3.2 Model Solving Based on NSGA-II Algorithm 4 Results and Discussion 4.1 Performance Analysis of Water Resource Optimization Allocation Under Three Algorithms 4.2 Benefit Analysis Based on Improved NSGA-II Algorithm 5 Conclusion References Research on Control System of Flue Gas Waste Heat Recovery Based on Fuzzy Control Algorithm 1 Introduction 2 Related Works 3 Realization Method of Flue Gas Waste Heat Recovery Control System 3.1 Flue Gas Waste Heat Recovery System Process Flow 3.2 Design of Fuzzy PID Control Algorithm 3.3 Software Design of Fuzzy Control System 4 Results and Discussion 4.1 Validity Test 4.2 Results 4.3 Discussion 5 Conclusion References Evaluation Method for Fire Emergency Rescue Capability of Petrochemical Enterprises Based on Multivariate Data Coupling 1 Introduction 2 Related Works 3 Research Methods 3.1 Assessment Index System 3.2 Calculation of Weights 3.3 Integrated Assessment 4 Results and Discussion 4.1 Comprehensive Weight Calculation 4.2 Comprehensive Assessment 4.3 Summary 5 Conclusion References Computer Design and Three-Dimensional Finite Element Analysis of a New Type of Stand-Alone Bracket Dentures 1 Introduction 2 Related Works 3 Methods 3.1 Handmade 3.2 Digitally Make Denture Holders 3.3 Three-Dimensional Finite Element Testing of Stent Performance 4 Results and Discussion 5 Conclusion References Prediction Model of Tourist Traffic Data Based on Random Forest Algorithm 1 Introduction 2 Related Work 3 Method 3.1 Random Forest 3.2 Distribution Characteristics and Influencing Factors of Daily Passenger Flow in Tourist Attractions 3.3 Tourism Passenger Flow Feature Data Set Based on Random Forest Algorithm 4 Results and Discussion 4.1 Algorithm Comparison 4.2 Temperature Prediction 4.3 Tourist Traffic Forecast 5 Conclusion References Cost Compensation for Household Distributed Energy Storage Systems: Economic Analysis and Optimization of Intelligent Electricity Pricing Strategies 1 Introduction 2 Related Work 3 Method 3.1 Cost Source of Household Distributed Energy Storage System 3.2 Role of Electricity Pricing Strategy in Cost Compensation 3.3 Intelligent Technology Designated Electricity Price Strategy 4 Results and Discussion 4.1 Comparative Experiment on Electricity Cost 4.2 Comparative Experiment on Electrical Elasticity 5 Conclusions References Building Construction Safety Monitoring and Early Warning System Based on AI Technology 1 Introduction 2 Related Work 3 Method 3.1 Application Scenarios of Artificial Intelligence in Building Construction Management 3.2 Construction Safety Monitoring and Early Warning System Structure 3.3 Design of Hazard Source Database Module 3.4 Hazard Source Monitoring 4 Results and Discussion 4.1 Early Warning Levels and Security Risks 4.2 Number of Accidents and Deaths 4.3 Categories of Construction Accidents 4.4 System Advantages 5 Conclusion References Digital Model of Building Cost Control Under Improved ABC Algorithm 1 Introduction 2 Related Work 3 Construction Cost Control System 4 Building Cost Control Model 5 ABC Algorithm Improvement 6 Project Experiments 7 Conclusions References GA Algorithm in Digital Building Engineering Automation Construction Technology 1 Introduction 2 Related Work 3 Method 3.1 Current Status of Automation Construction Technology in Digital Building Engineering 3.2 Digital Building Engineering Automation Construction Technology Based on Genetic Algorithm 4 Experimental Results and Discussion 5 Conclusions References Optimizing the Design and Application of Wireless Sensor Networks in Smart Cities 1 Introduction 2 Related Works 3 Design of Wireless Sensor Networks 3.1 Wireless Sensor Network 3.2 Optimization of Wireless Sensor Network in Smart City 3.3 System Hardware Design 3.4 System Software Design 4 Results and Discussion 5 Conclusion References New Energy Consumption Model and Demonstration Based on Particle Swarm Optimization 1 Introduction 2 Related Work 3 Methods 3.1 Model Establishment 3.2 Simulation and Optimization of Wind and Photovoltaic Power Output Based on Particle Swarm Optimization Algorithm 4 Experimental Results and Discussion 5 Conclusions References Application of Artificial Intelligence in Construction Engineering Safety Supervision System 1 Introduction 2 Related Work 3 Method 3.1 Artificial Intelligence Regulatory Technology 3.2 Construction Engineering Safety Supervision System 4 Results and Discussion 4.1 Supervision System 4.2 Test Result Display 5 Conclusion References Focused Algorithms in Drone Delivery Technology of Smart Logistics 1 Introduction 2 Related Works 3 Methods 3.1 Signal Model 3.2 Calculation of Similarity Loss Function 4 Results and Discussion 4.1 Drone Delivery Training 4.2 Ablation Experiment 4.3 Performance Testing 5 Conclusions References Construction of Natural Gas Pipeline Network Operation Optimization System Based on Genetic Algorithm 1 Introduction 2 Related Works 3 Methods 3.1 GA Algorithm 3.2 Optimization of Natural Gas Pipeline Network Operation Using GA 4 Results and Discussion 4.1 Experimental Preparation 4.2 Comprehensive Evaluation and Optimization Method Selection 5 Conclusions References Support Data Analysis Environment Design and Landscape Design of Heterogeneous Models 1 Introduction 2 Related Work 3 Method 3.1 Heterogeneous Model Integration Framework Design 3.2 Data Analysis Environment Design 3.3 Landscape Design Tool Integration 4 Results and Discussion 4.1 Experimental Setup 4.2 Experimental Results 5 Conclusion References 3D Environment Design and Modeling Method Based on Algorithm Optimization 1 Introduction 2 Related Work 3 Algorithm Optimization Study 3.1 Data Processing 3.2 Algorithm Optimization 4 Experimental Design and Implementation 4.1 Experimental Environment and Settings 4.2 Experimental Process and Operation 4.3 Analysis of the Experimental Results 5 Conclusion References Design of Intelligent Structural Sensors for Civil Engineering Using Intelligent Digital Modeling Technology 1 Introduction 2 Related Works 3 Methods 3.1 Design of Intelligent Structural Sensors in Civil Engineering 3.2 Sensor Position Optimization on Basis of Regularization 3.3 Sensor Structure Design 4 Results and Discussion 4.1 Experimental Preparation 4.2 Comparison of Monitoring Accuracy of Sensors Arranged by Different Methods 4.3 Comparison of Time Arrangement Using Different Methods 4.4 RMSE Root Mean Square Comparison 5 Conclusions References Construction of Semi-submersible Artificial Reef Ecosystem Model Based on Ecopath 1 Introduction 2 Related Works 3 Methods 3.1 Ecopath Basic Model Construction 3.2 Ecopath Functional Model Construction 4 Results and Discussion 4.1 Overall System Characteristics 4.2 Comparative Analysis After Proliferation 4.3 Sensitivity Analysis 5 Conclusion References Integrated AI Architecture and Fog Computing for Cyber-Physical Systems Autonomous Vehicles 1 Introduction 2 Fog Computing 2.1 Artificial Intelligence 3 Multi-agent System 4 Literature Review 5 Challenges and Consideration 6 Methodology and System Architecture Design 7 Multi-agent Fog Computing 8 Autonomous Vehicle and Fog System 9 Proposed AI Algorithm Framework 10 System Analysis and Validation 11 Data Acquisition Scenario 12 Conclusion References DDOS Attack Detection in Cloud Computing Architecture Using Deep Learning Algorithms 1 Introduction 2 Theoretical Review 2.1 DDoS Attacks 2.2 Machine Learning 2.3 SVMs 2.4 Neural Networks 3 Datasets 3.1 NSL-KDD 3.2 CiCDDoS2019 4 Methodology 5 Data Processing 5.1 NSL_KDD 5.2 CiCDDoS2019 5.3 Algorithm Parameter Optimization 5.4 SVM 5.5 MLPs 6 Conclusion References Face Recognition by Using Back Propagation Artificial Neural Network in MATLAB 1 Introduction 2 Literature Review 3 Artificial Neural Network 4 Back-Propagation Algorithm 5 Methodology 6 The Proposed Algorithm for Face Recognition Using BPNN 7 MATLAB Coding 8 Result 9 Conclusion References Enhancing Detection Rates in Cloud Environments Using Support Vector Machine Classifiers 1 Introduction 2 Literature Review 3 Theoretical-Methodological Foundation 3.1 Software Defined Networks 3.2 Network Anomalies 3.3 Network Anomaly Detection 3.4 Machine Learning 3.5 Shallow Learning 3.6 Support Vector Machine 3.7 Training and Hyperparameters 3.8 Proposed Detection Model 3.9 Overview 4 Results 5 Conclusions References Dynamic Resource Allocation (DRA) in Cloud Computing 1 Introduction 2 Review of Previous Work 3 Methodology 4 Results and Discussions 5 Perspectives 6 Conclusion References Predictive Analytics and Optimization of Cloud Computing Performance Using Deep Learning 1 Introduction 2 Literature Review 3 Methodology 4 Optimization and Resource Allocation 5 Impact Analysis 6 Results 7 Predictive Modeling 8 Optimization and Resource Allocation 9 Impact Analysis 10 Conclusion References Adaptive Load Balancing in Cloud Computing Using Deep Deterministic Policy Gradient (DDPG): A Reinforcement Learning Approach 1 Introduction 2 Related Works 3 Cloud Computing and Machine Learning 4 Proposed Method 5 Conclusion and Perspective References Automated Presentation System with AI Integration 1 Introduction 1.1 AI Benefits for Education 2 Literature Review 2.1 Educational Technology 3 Materials and Methods 4 Results and Discussion 4.1 System Functionality 4.2 Question and Answer Interaction 4.3 Speech Integration and Customization 4.4 Presentation Execution 4.5 Question and Answer Interaction 4.6 Key Metrics 5 Conclusions References Predicting Heart Disease Using Machine Learning Techniques: A Comprehensive Study 1 Introduction 2 Materials and Methods 2.1 Data Set 2.2 Methodology 3 Innovations and Improvements Over Previous Studies 4 Results and Discussion 5 Visual Representation of Results 6 Conclusions References Developing Deep Learning-Based Network Intrusion Detection Systems (NIDS) for Iot Networks 1 Introduction 2 Materials and Methods 2.1 Dataset 2.2 Data Preprocessing 2.3 Data Splitting 3 Results and Discussion 4 Conclusions References AI-Powered Cloud Analytics: Transforming Big Data into Actionable Insights 1 Introduction 2 Background and Theory 2.1 Big Data in Public Health 2.2 Analytics: Concepts Involving Artificial Intelligence and Machine Learning 2.3 Cloud Computing in Data Analysis 2.4 Application to Restaurant Inspection Data 3 Literature Review 3.1 Big Data and Public Health 3.2 AI in Analytics 3.3 Cloud Computing in Data Analytics 3.4 Restaurant Inspection Data Analysis 4 Methodology 4.1 Data Set 4.2 Gathering and Preparing Data 4.3 Data Analysis and Processing 4.4 Predictive Modeling and Machine Learning 4.5 Execution and Dissemination 4.6 Assessment and Improvement 5 Results 5.1 Data Cleaning 5.2 Data Transformation 5.3 Results of Exploration Data Analysis (EDA) 5.4 Score Distribution 5.5 Exploratory Data Analysis (EDA) Summary 5.6 Predictive Modeling and Machine Learning 5.7 Model Selection and Performance 5.8 Feature Engineering 5.9 Model Training and Evaluation 5.10 Model Performance Metrics 5.11 Visualizations 5.12 Predictive Model Outcomes 5.13 Strategic Recommendations 6 Discussion and Conclusion 6.1 Model Efficacy and Insights 6.2 Implications for Stakeholders 6.3 Recommendations 6.4 Limitations and Future Research References Exploring the Dynamics of Sports Car Pricing: An Analytical Approach Using Machine Learning 1 Introduction 2 Background and Theory 2.1 Economic Principles of Pricing 2.2 Market Segmentation and Consumer Behavior 2.3 Theoretical Frameworks in Pricing Analysis 2.4 Role of Technology and Data Science in Pricing 2.5 Research Gap 3 Literature Review 3.1 Economic and Marketing Studies on Automotive Pricing 3.2 Machine Learning in Automotive Pricing 3.3 Broader Car Market and Manufacturer Analysis 3.4 Innovation and Sustainability in Car Manufacturing 3.5 Research Gaps and Future Directions 4 Methodology 4.1 Data Description and Preprocessing 4.2 Preprocessing Steps 4.3 Exploratory Data Analysis (EDA) 4.4 Feature Analysis 4.5 Principal Component Analysis (PCA) 4.6 Clustering 4.7 Feature Importance 4.8 Machine Learning Models 4.9 Software and Tools 5 Results 5.1 Data Preparation Results 5.2 Exploratory Data Analysis (EDA) Results 5.3 Machine Learning Models for Predicting Sports Car Prices 5.4 Model Description and Setup 5.5 Data Preparation 5.6 Model Training and Evaluation 5.7 Feature Importance Analysis 5.8 Predictive Model Outcomes 5.9 General Insights 6 Discussion and Conclusion 6.1 Implications for Stakeholders 7 Conclusion 7.1 Future Research References Artificial Neural Networks for Predicting Student Performance: A Case Study on Student Scores Dataset 1 Introduction 2 History and Theory 2.1 Educational Information Mining 2.2 Education with Artificial Neural Networks 3 Theoretical Framework 3.1 Challenges and Considerations 4 Literature Review 4.1 Early Applications of Machine Learning in Education 4.2 Artificial Neural Networks and Student Performance Prediction 4.3 Comparative Studies of ML Techniques 4.4 Factors Influencing Student Performance 4.5 Integration of ANNs with Other Techniques 4.6 Challenges and Limitations 4.7 Recent Advances and Future Directions 5 Methodology 5.1 Data Preprocessing 5.2 Feature Selection 5.3 Model Design 5.4 Model Training 5.5 Model Evaluation 5.6 Insights and Interpretability 5.7 Implementation and Tools 6 Results 6.1 Data Preprocessing 6.2 Model Training 6.3 Model Performance 6.4 Feature Importance Analysis 6.5 Partial Dependence Plots (PDPs) 6.6 Residual Analysis 7 Detailed Example of Predictions for a Single Student 7.1 Observations 8 Discussion and Conclusion 8.1 Discussion 8.2 Key Findings 8.3 Implications for Educational Stakeholders 8.4 Conclusion 8.5 Future Directions References Efficient Routing in Software Defined IOT Network Using Machine Learning 1 Introduction 1.1 Basic Definitions and Concepts 1.2 Internet of Things (IoT) 1.3 Software Defined Networking (SDN) 1.4 Machine Learning (ML) 1.5 Data Routing in Smart Environments 2 Proposed Method 2.1 Designing a Routing Metric 2.2 Performance Evaluation 2.3 Design of a Routing Protocol Based on SDN and Machine Learning 2.4 Performance Evaluation 3 Conclusion References Blockchain Technology and Current Security Measures “Smart Grid Framework” 1 Introduction 1.1 Overview of Blockchain 1.2 Terminologies and Components of Blockchain 2 Introduction Operation Blockchain for Smart Grids Applications 2.1 Blockchain for Home Automation 2.2 Blockchain for Advanced Metering Infrastructure 2.3 Blockchain for Electric Vehicles 2.4 Blockchain for Renewable Microgrids 2.5 Blockchain for Energy Management System 2.6 Blockchain for Energy Management System 3 Blockcahin-Enabled Cyber Security System for Smart Grids 3.1 Common Security Risks in Smart Grids 3.2 Denial-of-Service (DoS) Attacks 3.3 False Data Injection Attack (FDIA) 3.4 Phishing 3.5 Eavesdropping 3.6 Security Breaches 3.7 Trojan-Horse Malware Black Energy 3.8 Stuxnet 3.9 WannaCry Ransomware 3.10 Countermeasures Against Cyberattacks 3.11 Detection and Defense for DoS Attack 3.12 Encryption 3.13 Authentication 3.14 Malware Protection 3.15 Network Security 3.16 Risk and Maturity Assessments 3.17 IPS and IDS 4 Introduction Blockchain Implication for Cyber Security of Smart Grid Paradigm 5 Conclusion References Wi-Fi Networks that Can Be Identified by Software 1 Introduction 2 Software-Defied Networking 3 Software Defined Network Architecture 4 Discussion and Conclusion Managing References A Framework for Users Log and Activities Monitoring the IoT Blueprint Era 1 Introduction 2 Literature Review 3 Materials and Methods 4 Results and Discussion 5 Conclusions References Predicting Student Performance in a Blended Learning Course Using Machine Learning 1 Introduction 1.1 Blended Learning 1.2 Machine Learning Models Used in the Study 1.3 Related Studies 2 Methodology 2.1 Participants 2.2 Teaching Approach 2.3 Data Preparation and Preprocessing 2.4 Data Analysis 3 Results 4 Discussion and Conclusion 5 Limitations and Future Research References An Examination of Students’ Levels of Being Sociotelist in Terms of Various Variables 1 Introduction 1.1 Purpose of the Study 2 Methodology 2.1 Methodology of the Study 3 Findings and Comments 4 Results and Discussion References Artificial Intelligence in Education: Discussing the Ethics 1 Introduction 1.1 Problem Description 2 Methodology 2.1 Participants 2.2 Instrument 3 Result and Discussion 4 Conclusion and Recommendation References