Artificial Intelligence and Sustainable Innovation

Volume 2

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

• Publisher: CRC Press
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9781040827314
• 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 & manufacturing, education & 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
• A hybrid two-stage ensemble model for detecting intrusion in IoIT environment
• IoT based multi-attributes decision making in irrigation system
• Zero shot classification profanity identifier
• IIQ (Intelligent Information Quantification): Need, assertion and algorithmic modeling
• Hybrid boosted neuro-forest model for apple leaf disease detection
• Modified XceptionNet architecture for accurate fake image classification on real-fake HQ dataset
• AI in military airplane detection for safe city
• CHARGEWAY: The future of EV road charging
• Cyber security in smart cities: Protecting IoT networks
• A performance-centric analysis and implementation of hybrid AES-ECC cryptosystem
• Deep learning algorithm for real-time face recognition system on raspberry Pi with Azure
• Visual text-to-auditory conversion system
• Comparative analysis of explainable AI and diabetes recommendation techniques using PIMA-obesity features mapped datasets for type-2 diabetes
• Sentiment analysis in Hinglish: NLP techniques for mixed-language text
• IPL score forecasting using data analytics and machine learning
• Blockchain driven smart-drug flow
• Evaluating bitcoin price movements: A multi-timeframe approach using technical indicators
• HMED: A hybrid approach for medical image encryption through deep learning
• AIML-driven sleep alert system for enhanced vehicle safety
• Advanced malware detection through dynamic features and attention-powered deep models
• Peristaltic transport of pathological bile through the diseased duct with porous environment: An application to papillary stenosed duct with infected bile
• Machine learning-driven analysis of adaptive decision dynamics: A review
• HappyMind: A comprehensive platform for addressing the E-learning needs of students with autism
• Detection of endocrine disorder based on machine learning using physical and clinical database
• Virtual Assistant using Sentiment Analysis (VASA)
• Sales prediction using regression analysis
• Revolutionizing multifactor authentication with AI-powered dynamic image generation
• A novel approach for improving document search with NLP
• Performance analysis of BERT for fake news detection
• EEG-based depression detection using deep learning with CNN, BiLSTM, and attention mechanism
• A review article on Indian medicinal plants in an intelligent way to study their properties and therapeutical applications
• AI-based sustainable green energy optimization for edge cloud computing with renewable energy resources
• A comprehensive deep learning based system for recognition and conversion of text/speech to Indian sign language gesture
• Enhanced crowd monitoring through YOLOv5-based object detection framework
• A comparative study on avian influenza using machine learning algorithms
• Quantum creativity: Integrating natural language and music generation into a hybrid framework
• Smart queue management system: A digital solution to optimize service efficiency and reduce wait times
• Early-stage crop disease detection using deep learning
• Pneumonia detection using ML models (CNN/Deep Learning)
• Study on lung cancer detection using machine learning techniques
• Insect detection and classification using CNN based models
• Top2Vec: Analysis for unsupervised topic discovery
• Optimizing hospital interconnectivity for patient care – MediSync: “Bridging Hospitals and Patients Seamlessly”
• Image compression using retinex & SRCNN algorithms based on Huffman and LZW coding
• Multi-Nozzle 3D printing system
• NECK-EASE: An ML-powered system for real-time head, movement monitoring and alerting
• Mitigating DDoS and DoS attacks in IoT Networks with LSTM-based intrusion detection system
• TEACHO – approach to pay per second video streaming architechture for educational result
• Edge-enabled AI framework for real-time anomaly detection in industrial IoT systems
• Multimodal deep learning framework for real-time women safety surveillance and threat mitigation
• An approach for quantum based learning for disease classification in paddy
• Parkinson's disease detection using inceptionV3
• An AI-driven dual-phase model for heart disease diagnosis
• Web recommendation system using metaheuristic algorithm
• A comparative study of stroke prediction using machine learning techniques
• Keylogger detection and prevention using machine learning techniques
• Machine learning and deep learning algorithms: Applications in healthcare and sentiment analysis
• IoT based smart framework to predict air quality using KNN imputation model
• Assessment and comparison of collaborative filtering approaches for recommender systems
• Using deep learning for image-in-audio steganography
• Comparative analysis of machine learning algorithms for solar energy prediction
• Rural health emergency response chatbot
• Prevention and mitigation of different security threats in IoT environment
• Stress detection system using decision tree integrating wearable sensors
• College placement system: Personalized job-skill matching and resume parser
• Hybrid stacking model to optimise heart disease prediction
• Cloud-based threat detection and prevention using ensemble machine learning method
• Decoding sarcasm: Leveraging GloVe and LSTM for accurate sentiment understanding
• Efficient privacy preserving access control in public cloud system
• Leveraging Grad-Cam for explainable cyclone intensity estimation using R-CNN on INSAT-3D IR imagery
• Vivisyn: An AI-powered collaborative group chat platform
• StockWise: An integrated approach using LSTM and sentiment analysis to predict stock exit value
• Evaluating the impact of non-IID data on federated learning: A comparative study of aggregation techniques
• IoT-enabled smart garden monitoring and irrigation system
• T2I generation using stable diffusion
• Advancing skin lesion cancer detection: A systematic literature review
• Twitter based disaster detection: Comparison between deep learning and machine learning models
• Ensemble learning for robust medical diagnostics across multiple modalities
• Rumor detection on benchmark Twitter dataset using firefly optimization and explainable AI
• A blockchain-assisted platform for transfer learning with model versioning provision
• AI-based autonomous shoplifting detection system using YOLOv8 and XGBoost
• Medicine recommendation system using machine learning
• Analyzing the role of emotional intelligence in job performance: Metrics and insights through machine learning
• Cloud security: Protecting data and privacy in a connected world
• Emerging approaches to secure vehicle remote keyless entry
• Predictive student profiling using k-means clustering based on student performance using CGPA and IQ for improving academic performance and placement
• An efficient and secure big data storage in cloud environment
• Neuro oncology detection using machine learning and transfer learning technique
• Enhancing cognitive beliefs and emotional well-being through AI and green spaces
• AI in renewable energy resources: Current trends, challenges and future prospects
• Study on multi-modal fake news detection on online social media using machine learning and explainable AI
• A data-driven framework for identifying fake health news and its public health implications
• A web-based cardiovascular disease risk assessment portal using data-driven weighted scoring
• Smart quality testing system in E-commerce
• Hybrid deep learning framework for underwater image enhancement using CNN and lab color model
• Enforcing privacy and explainability for pneumonia detection using deep learning
• News detection on low resources Indian multi-languages using XLM-RoBERTa based feature extraction
• Comparative analysis of the performance of Generative Adversarial Networks (GAN), Variational Autoencoders (VAE) and diffusion models over traditional CNN for brain tumor detection
• Optimal charging scheduling using nature inspired metaheuristic algorithm in wireless sensor networks
• Fake image and product detection using advanced machine learning and deep learning technique
• Author index