Artificial Intelligence and Sustainable Innovation

Volume 1

Arvind Dagur, Sohit Agarwal, Dhirendra Kumar Shukla, Shabir Ali, Sandhya Sharma

• Publisher: CRC Press
• Year: 2026
• eBook ISBN: 9781040658888
• Topic: Computer Science
• Subtopic: Environmental Management
• Index: Computer Science

This book brings together researchers, academicians, industry professionals, and policymakers to explore the transformative role of Artificial Intelligence (AI) in addressing global sustainability challenges. With a distinct focus on the United Nations Sustainable Development Goals (SDGs), it serves as a rich repository of research on AI for energy efficiency, climate change mitigation, smart cities, healthcare, and education.

This title comprises a selection of papers that reflect an emphasis on interdisciplinary research and real-world applications. It covers a broad spectrum of topics including, but not limited to, Artificial Intelligence and Sustainable Innovation in green infrastructure, industry and manufacturing, education and policy, banking, navigation, communication, security, and sustainable agriculture. It also delves into real-life applications of intelligent computing and communication techniques in congruence with SDG goals.

Researchers, academicians, research scholars, persons in industry, students, entrepreneurs, and technology enthusiasts will benefit from this book.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Acknowledgements
• Editor Biographies
• Committees
• Technical Program Committee
• Deepfake detection on social media
• Design of a rectangular stepped patch antenna for C-Band WLAN and X-band radar applications
• Semantic deep learning for improved content-based image retrieval systems
• Design and implementation of ALU: A comparative study of FULL ADDER and mux-based architectures
• Neural network-based energy-efficient data aggregation in wireless sensor networks
• Edge computing in smart cities for urban infrastructure and services: A review
• Bioacoustic neural inference for avian taxonomy
• Blockchain-based intrusion detection system for IIoT with the aid of XGBoost voting ensemble method
• DSA education: A systematic review of teaching innovations and learning strategies
• A deep learning approach using convolutional neural networks to identify image manipulation
• Exploring depression detection through acoustic speech features: A comprehensive review
• Robust anomaly detection in IoT healthcare using ML with SMOTE and real-Time optimization
• Enhanced flowchart transformation and code generation using LLM models
• Two stage YOLOv5-based real-time mask detection: A balance of speed and accuracy
• A hybrid deep learning and ensemble framework optimized with metaheuristic algorithms for heart disease prediction
• Hybrid inhouse medic, evolving health insights by using machine learning
• Automated grid balancing through AI-optimized demand response and distributed energy resource management
• DynBlock: Dynamic data encryption with Toffoli gate for IoT security
• Malware detection in IOT devices using machine learning
• Emotion AI based picture recapitulation utilizing machine learning and deep learning techniques
• Enhancing scalability in smart cities through edge-aware wildwood optimization
• Symptom Sleuth: Ensemble learning for COVID-19 and unknown diseases
• Synergizing edge computing and artificial intelligence: Challenges, opportunities, and ML-Driven optimizations
• Real time IoT-powered air standard smart monitoring
• Machine learning in detection of hyper tension risk factor
• A hybrid model for profession prediction using astrology based on 1D-CNN and RNN
• Markov decision process-based cache replacement for efficient content retrieval in named data networking
• Deep learning driven automated pneumonia detection: Enhancing diagnostic precision with CNNs
• AI-Driven framework for generating informative summaries from YouTube videos using GPT-3
• Enhancing FAANG stock prediction using LSTM, data normalization, and optimization techniques
• Leveraging ensemble and federated learning techniques for enhanced diabetes prediction
• Modular integrated SVM and deep learning framework for criminal face identification
• Advancements in cross-modal sentiment analysis: A comprehensive machine learning framework review
• Adaptive intrusion detection in IoT networks: Leveraging honeypots and synthetic data for attack mitigation
• Image based dietary assessment of food using visual representation
• Securing nuclear infrastructure against ransomware attacks using ML algorithms
• Sentiment analysis using machine learning
• Software defect prediction using random forest and dimensional reduction technique
• Identification of driver drowsiness by utilizing machine learning and facial feature acceptance
• The future of female entrepreneurship databases based on artificial intelligence
• Automatic speed controlling of vehicle based on signboard detection using image processing
• The future role of IT company industry on AI and digital leadership
• Supply chain digitization for Agri-tech sector
• Federated ensemble learning framework for symptom-based lung cancer detection
• Machine learning-assisted hybrid nature-inspired job scheduling approach for cloud environments
• Automated essential regulations in greenhouses utilizing deep learning for unattended operations
• Dynamic classroom scheduling: An intelligent system for optimized resource allocation in academic enviroment
• Blood cancer detection through deep learning
• Underwater image enhancement and object detection using vision transformers
• Automated detection of disc degeneration in X-ray images using deep learning CNNs
• A robust deep learning approach for detecting COVID-19 and pneumonia in chest X-ray scans
• FallGuard: IoT-driven fall detection and health monitoring system
• Lung cancer prediction using rnn with attention LSTM
• Cardiovascular disease detection using machine learning
• Automatic car driver ejection system
• A novel approach to refining medical text classification using intelligent logic
• Soyabean leaf detection dataset using machine learning
• A hybrid approach integrating global attention and local features for plant disease detection
• An AI chatbot platform integrating voice capabilities and admin dashboard for enhanced user experience
• Diagnosis of neuromuscular disorder, rehabilitation and prosthetic control using electromyography (EMG)
• Smart contract security: Investigating vulnerabilities and developing methods for secure smart contract development
• Predictive business process optimization using data analytics
• An explainable deep learning approach for diabetic foot ulcer prediction
• AI powered learning management system with mock interview platform
• Melanoma skin cancer detection using ResNet50V2
• Cyber future: Navigating privacy in the digital age
• Automated journal summarization and email notification system
• Optimized AI Security for IoMT: Hybrid PSO-ACO with CNN
• Lecture viewing patterns identification using clickstream data
• Human activity recognition: A review of deep learning approaches
• Healthcare recommendation system for areas with limited access to healthcare using machine learning algorithms
• Enhance the women crime rate prediction using random forest over the XGBoost algorithm
• Deep learning-based approach for detecting lung cancer in medical images
• Deep learning-driven plant disease diagnosis: A MobileNet-based approach
• Flood prediction system using machine learning
• Decentralized pollution monitoring system: Leveraging blockchain for secure and transparent environmental data management
• Machine learning based knee osteoarthritis prediction and severity grading from X-ray images
• Drift detection in ADWIN using the Kolmogorov-Smirnov (KS) test
• Optimized emotion detection in dynamic environments using deep reinforcement learning
• From VoIP vulnerabilities to AI defenses: A survey on fraud call prevention
• AI-driven smart pendant for women's safety & health monitoring
• Harmful algal bloom detection in aquaculture ponds using Quantum Approximation Optimization Algorithm (QAOA)
• Blockchain-enabled smart EV charging framework for commuters
• Fast and reliable malware detection using KNN
• ThreatSense: A machine learning enabled intrusion detection system
• Smart AR glasses: Balancing power and comfort for everyday wear
• Efficient method to convert the gestures into text for Indian sign language using advanced image processing and deep learning
• Vineyard crop stress detection using CNN and U-Net
• ZAPDOS: Zero-shot AI-powered and dynamic optimized summarization (for question generation)
• Comparative analysis of AI powered predictive maintenance for maritime safety using machine learning
• Enhancing IoT security: Machine learning and ensemble approaches for intrusion detection
• Machine learning for train delay prediction: Techniques, challenges, and applications
• Systematic literature review of insurance sector's suant transition to industry 6.0
• Revolutionizing organ donation: A digital approach to saving lives
• Comprehensive proctoring system with AI-driven automated exam management
• Real-time skin disease diagnosis using image classification techniques
• Machine learning and artificial intelligent: A tising tool for drug discovery
• Shortest path visualizer: An interactive tool for algorithm analysis and education
• AI-powered medical bot for diagnosis and treatment of skin, dental, and hair disorders
• Wireless sensor based smart agriculture: A comprehensive survey
• Author index