کتاب پایش محیط زیست با استفاده از هوش مصنوعی (۲۰۲۵)

Chapter 1 Transformative Trends in AI for Environmental Monitoring: Challenges, Applications
۱.۱ Introduction
۱.۲ Literature Verticals
۱.۳ Key Methodologies in Literature Review
۱.۴ Most Common Methods in Environmental Monitoring
۱.۵ AI Architectures for Environmental Monitoring
۱.۶ Applications of AI in Environmental Monitoring
۱.۷ Challenges and Limitations of Using AI in Environment Modeling
۱.۸ Future Directions
۱.۹ Conclusion
Acknowledgements
References
Chapter 2 Fundamentals of AI and NLP in Environmental Analysis
۲.۱ Introduction
۲.۲ AI and NLP Techniques
۲.۲.۱ Artificial Neural Network (ANN)
۲.۲.۲ Support Vector Machine (SVM)
۲.۲.۳ Linear Regression (LR)
۲.۲.۴ Random Forests (RF) and Decision Trees (DT)
۲.۲.۵ Adaptive Neuro-Fuzzy Inference System (ANFIS)
۲.۲.۶ Batch-Normalization (BN)
۲.۲.۷ Convolutional Neural Networks (CNNs)
۲.۲.۸ Deep Neural Networks (DNNs)
۲.۲.۹ Genetic Algorithm (GA)
۲.۳ AI Models and NLP System with Data Science Cycle
۲.۳.۱ Supervised Learning
۲.۳.۲ Semi-Unsupervised Learning/Unsupervised Learning
۲.۳.۳ Reinforcement Learning
۲.۴ Environmental Analysis Using AIoT and NLP
Bibliography
Chapter 3 Smart Environmental Monitoring Systems: IoT and Sensor-Based Advancements
۳.۱ Introduction
۳.۲ Essential Elements and Factors for Environmental Monitoring with IoT
۳.۲.۱ Sensor Devices
۳.۲.۲ Data Acquisition
۳.۲.۳ Data Mastery and Storage Brilliance
۳.۲.۴ Data Analysis
۳.۲.۵ Visualizing Insights
۳.۲.۶ Alert Mechanism
۳.۲.۷ Synergizing Connectivity
۳.۲.۸ Energy Efficiency
۳.۲.۹ Securing Environmental Data
۳.۲.۱۰ Adhering to Regulatory Standards
۳.۳ Diverse Avenues and Methodologies in IoT Environmental Applications
۳.۳.۱ Agricultural Surveillance
۳.۳.۲ Air Quality Surveillance
۳.۳.۳ Aquatic Quality Surveillance
۳.۳.۴ Urban Intelligence
۳.۳.۵ Preserving Wildlife
۳.۳.۶ Sustainable Industrial Practices
۳.۴ Conclusion
References
Chapter 4 Remote Monitoring Advancements: A New Approach to Biodiversity Conservation
۴.۱ Introduction
۴.۲ Indicators of Primary Biodiversity
۴.۳ Exploring Biodiversity Conservation Strategies
۴.۴ AI Enhancing Animal Observation Images
۴.۵ AI and ML for Preserving Flora
۴.۶ Deep Learning Tracks Terrestrial Mammals via Satellites
۴.۷ Conclusion
References
Chapter 5 Smart Water Solutions: A Case Study on Drone-Led Hydrological Investigation of Water Diversion from Lakshmiyapuram Catchment to Sivakasi Periyakulam Tank
۵.۱ Introduction
۵.۲ Software Used
۵.۲.۱ GPS Essentials Application
۵.۲.۲ Google Earth Pro
۵.۲.۳ Drone Deploy
۵.۲.۴ QGIS
۵.۲.۵ Pix 4D Mapper
۵.۳ Methodology
۵.۳.۱ Drone Preprocessing
۵.۳.۱.۱ Collection of GPS Coordinates
۵.۳.۱.۲ Generation of .kmlfile
۵.۳.۱.۳ Generation of the Ground Map
۵.۳.۱.۴ Creating Flight Plan
۵.۳.۱.۵ Collection of Data
۵.۳.۲ Drone Data Preprocessing
۵.۳.۲.۱ Reviewing the Data
۵.۳.۲.۲ Uploading the Data
۵.۳.۲.۳ Addition of Ground Control Points (GCPs)
۵.۳.۲.۴ Aero Triangulation
۵.۳.۲.۵ Reconstruction Settings
۵.۳.۲.۶ Production
۵.۳.۳ Drone Data: Post-Processing-Outputs
۵.۳.۳.۱ Orthomosaic Map
۵.۳.۳.۲ Digital Surface Model (DSM)
۵.۳.۳.۳ 3D Model
۵.۳.۳.۴ Contour Map
۵.۳.۴ Hydrological Analysis
۵.۳.۴.۱ Fill and Flow Direction
۵.۳.۴.۲ Streamline and Stream Order
۵.۳.۴.۳ Water Outlet and Water Catchment Areas
۵.۳.۴.۴ Fill Volume Estimation
۵.۳.۴.۵ Terrain Elevation Range
۵.۳.۴.۶ Stream Order Overlayed on Orthomosaic
۵.۳.۴.۷ Expected Earthwork Estimation
۵.۳.۴.۸ Outlet Trace
۵.۴ Conclusion and Recommendation
Acknowledgement
References
Chapter 6 Sustainable Waste Management as a Key Feature for Smart City: A Case Study of Vadodara, Gujarat, India
۶.۱ Introduction
۶.۱.۱ Essential Features of Indian Smart Cities
۶.۱.۲ Waste Management in Smart Cities
۶.۱.۳ Indian Status of Solid Waste Management
۶.۲ Material and Methodology
۶.۲.۱ Study Area
۶.۲.۲ Design of Questionnaire for Survey, and Data Analysis
۶.۲.۳ Comparison Study of Waste Management Scenario in Vadodara
۶.۳ Result and Discussion
۶.۳.۱ Socio-Demographic Profile of Respondents
۶.۳.۲ Awareness and Willingness of Respondents Towards Waste Management
۶.۳.۳ Comparative Assessment of Generalised Waste Collection with KSA Waste Collection
۶.۴ Limitation of Study
۶.۵ Conclusion and Future Prospects
References
Chapter 7 Sensor Technologies for Environmental Data Collection
۷.۱ Introduction
۷.۲ Sensor Technologies
۷.۳ Background of Sensing
۷.۴ Types of Sensors
۷.۵ Applications of Sensors
۷.۶ Challenges of Sensors
۷.۷ Environmental Sensors
۷.۷.۱ Standards and Regulations
۷.۷.۲ Drivers of Environmental Sensing
۷.۷.۳ Network and Communications Technologies in Conjunction with Environmental Sensing
۷.۷.۴ Environmental Sensors
۷.۷.۴.۱ Metal Trace Detectors
۷.۷.۴.۲ Radioisotope Sensors
۷.۷.۴.۳ Cadmium Zinc Telluride (CZT) Detectors
۷.۷.۴.۴ Minimal-Power Pin Diode Beta Spectrometer
۷.۷.۴.۵ Thermoluminescent Dosimeter (TLD)
۷.۷.۴.۶ Identification Gamma Detector for Isotopes
۷.۷.۴.۷ Neutrino Projector for Detection of Nuclear Material
۷.۷.۴.۸ Non-Sandia Radiation Detectors
۷.۷.۴.۹ Sensors for Organic Pollutants
۷.۷.۴.۱۰ MicroChemLab (Gas Phase)
۷.۷.۴.۱۱ Biological Sensors
۷.۷.۴.۱۲ iDEP (Insulator-Based Dielectrophoresis)
۷.۸ Summary and Recommendations
Bibliography
Chapter 8 Significance and Advancement of Sensor Technologies for Environmental Analysis
۸.۱ Introduction
۸.۲ Sensing and Sensor Fundamentals
۸.۲.۱ Sensing Modalities
۸.۲.۲ Sensor Types
۸.۲.۳ Sensor Characteristics
۸.۳ Key Sensor Technology Components
۸.۴ Regulations and Standards - Sensor Technologies
۸.۵ Conclusion
Bibliography
Chapter 9 Texture-Based Classification of Organic and Pesticidal Spinach Using Machine Learning
۹.۱ Introduction
۹.۲ Related Works
۹.۳ Proposed Work
۹.۳.۱ Conceptual Basis for Pesticidal Detection
۹.۳.۲ Image Preprocessing
۹.۳.۳ Local Binary Patterns
۹.۳.۴ Feature Extraction
۹.۳.۵ Support Vector Machine
۹.۳.۶ Cross-Validation Techniques
۹.۳.۷ Evaluation Metrics and Parameters
۹.۴ Implementation and Results
۹.۴.۱ Dataset and Textural Insights from LBP
۹.۴.۲ Performance Metrics
۹.۴.۳ Performance Analysis
۹.۵ Conclusion
References
Chapter 10 Deep Bidirectional LSTM for Emotion Detection through Mobile Sensor Analysis
۱۰.۱ Introduction
۱۰.۲ Literature Survey
۱۰.۳ Methodology
۱۰.۴ Results and Discussion
۱۰.۵ Conclusion
۱۰.۶ Future Directions
References
Chapter 11 A Comparative Analysis of AlexNet and ResNet for Pneumonia Detection
۱۱.۱ Introduction
۱۱.۲ Related Works
۱۱.۳ AlexNet
۱۱.۴ ResNet
۱۱.۵ Proposed Work
۱۱.۶ Conclusion
Acknowledgments
References
Chapter 12 Comparison of Borewell Rescue L-Type Different Arm with Different Materials
۱۲.۱ Introduction
۱۲.۲ Related Works
۱۲.۳ Proposed Method
۱۲.۴ Cylinder
۱۲.۴.۱ Aluminium
۱۲.۴.۲ Plastic
۱۲.۴.۳ Stainless Steel
۱۲.۴.۴ Steel
۱۲.۵ Ellipse
۱۲.۵.۱ Aluminium
۱۲.۵.۲ Plastic
۱۲.۵.۳ Stainless Steel
۱۲.۵.۴ Steel
۱۲.۶ I-Beam
۱۲.۶.۱ Aluminium
۱۲.۶.۲ Plastic
۱۲.۶.۳ Stainless Steel
۱۲.۶.۴ Steel
۱۲.۷ L-Angle
۱۲.۷.۱ Aluminium
۱۲.۷.۲ Plastic
۱۲.۷.۳ Stainless Steel
۱۲.۷.۴ Steel
۱۲.۸ Mathematical Analysis
۱۲.۸.۱ Performance Ratio
۱۲.۸.۲ Accuracy Ratio
۱۲.۸.۳ Efficiency Ratio
۱۲.۸.۴ Deformation Ratio
۱۲.۸.۵ Stress Comparison Ratio
۱۲.۸.۶ Summary of the Proposed Method
۱۲.۹ Results and Discussion
۱۲.۹.۱ Performance Comparison
۱۲.۹.۲ Accuracy Comparison
۱۲.۹.۳ Efficiency of Our Proposed Method
۱۲.۹.۴ Deformation Comparison
۱۲.۹.۵ Stress Analysis
۱۲.۱۰ Conclusion
References
Chapter 13 Optimizing Almond and Walnut Farming: A U-Net-Powered Deep Learning Approach for Energy Efficiency Prediction and Damage Assessment
۱۳.۱ Introduction
۱۳.۲ Literature Survey
۱۳.۳ Methodology
۱۳.۴ Results and Discussion
۱۳.۵ Conclusion
References
Chapter 14 Enhancing Sustainable Management of Waste Dump Sites with Smart Drones and Geospatial Tech: Air Quality Monitoring and Analysis
۱۴.۱ Introduction
۱۴.۲ Review of Relevant Literature
۱۴.۳ Methodological Framework
۱۴.۳.۱ Drone and IoT Configuration
۱۴.۳.۲ Data Gathering
۱۴.۳.۳ Study Site
۱۴.۳.۴ Data Examination
۱۴.۳.۴.۱ Parameter Details and Drone Specifications
۱۴.۳.۴.۲ Drone Specifications
۱۴.۳.۴.۳ Data Collection Approach
۱۴.۳.۴.۴ Data Collection Intervals
۱۴.۳.۴.۵ Altitude Range
۱۴.۳.۴.۶ Sensor Array
۱۴.۳.۴.۷ The Sensor Types for the Measured Parameters
۱۴.۳.۴.۸ Noise Mitigation
۱۴.۳.۴.۹ Geospatial Mapping
۱۴.۳.۴.۱۰ Mapping Techniques
۱۴.۳.۴.۱۱ Input for Predictive Framework
۱۴.۳.۴.۱۲ Focus of Study
۱۴.۴ Outcomes and Discourse
۱۴.۵ Conclusion
References
Chapter 15 Voltage Veggies: A Shocking Revolution in Agriculture
۱۵.۱ Introduction
۱۵.۱.۱ Plant vs. Animal Nervous System
۱۵.۱.۲ Unraveling Plant Action Potentials
۱۵.۱.۳ Plant Impulses: Decoding Nature’s Signals
۱۵.۱.۴ Related Works
۱۵.۲ Proposed Methodology
۱۵.۲.۱ Role in Plant Physiology
۱۵.۲.۲ Recording and Understanding
۱۵.۲.۳ Signal Analysis Techniques
۱۵.۲.۳.۱ Advanced Techniques in Signal Analysis
۱۵.۲.۳.۲ Experimental Validation and Application
۱۵.۲.۴ AI Model Development
۱۵.۲.۴.۱ AI Model Architecture: Decoding the Framework
۱۵.۲.۴.۲ Training Process: Nurturing Intelligence through Data
۱۵.۲.۴.۳ Advancements in Magnetic Field Application: A Symbiotic Interaction
۱۵.۲.۴.۴ Fostering Intelligent Plant-Environment Interaction
۱۵.۲.۴.۵ Adaptive Response Modeling
۱۵.۲.۵ Transferring Signals to Defective Plants through Magnetic Impulses
۱۵.۲.۵.۱ Magnetic Field Generation Methods
۱۵.۲.۵.۲ Experimental Insights and Observations
۱۵.۳ Experimental Approach
۱۵.۳.۱ Unraveling the Dynamics of Plant Impulse Manipulation
۱۵.۳.۲ Challenges and Limitations in AI-Driven Plant Impulse Manipulation: A Critical Examination
۱۵.۳.۲.۱ Challenges Faced During the Research Process
۱۵.۳.۳ Limitations of the Proposed Method and Areas for Improvement
۱۵.۴ Conclusion and Future Research Directions
۱۵.۴.۱ Future Research Directions
۱۵.۵ Conclusion
References
Chapter 16 Emperor Penguin Optimized Loop Selection Process for Routerless NoC Design
۱۶.۱ Introduction
۱۶.۲ Related Works
۱۶.۳ Design of Routerless NoC
۱۶.۴ Emperor Penguin Optimized (EPO) Loop Selection
۱۶.۴.۱ To Generate the 4 × ۴ Grid
۱۶.۴.۲ Determine the Delay, Power Loss and Data Traffic
۱۶.۴.۳ Difference between the Best Loops
۱۶.۴.۴ To Find the Best Loop
۱۶.۵ Result and Discussion
۱۶.۶ Conclusion
References
Chapter 17 Case Study on Flyover Construction and the Air Quality Measurement by the Emission Level of Pollutants
۱۷.۱ Introduction
۱۷.۲ Related Study
۱۷.۳ Case Study on Flyover Construction and the Air Quality Measurement
۱۷.۳.۱ Case Study on Gounder Mills
۱۷.۴ Conclusion
References
About the Editors
Index
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