Artificial Intelligence and Sustainable Innovation

Volume 3

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

• Publisher: CRC Press
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9781040820537
• 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
• Swarm-based optimization for early heart disease detection using explainable AI
• Enhancing IoT system security using machine learning algorithm
• Beyond words: Multimodal approach to teletherapy using eye gaze and facial expressions
• Enhancing system security through deep learning-based autoencoder in image steganography
• An efficient ensemble-based model for the prediction of neurodegenerative malady and acute encephalopathy
• Communication efficiency in federated learning
• Detecting jamming attacks in wireless sensor networks using machine learning
• Real-time posture correction in physiotherapy: An LSTM-convolutional model approach
• Depression detection in Reddit posts using transformer-based deep learning models
• Advancing surface web threat detection with intelligent AI-based mitigation techniques
• From words to faces: A GAN-based approach for text-driven face generation
• Improving retrieval through generative query expansion and hybrid ranking models
• StutterDoc: An advanced framework for speech disfluency detection and correction
• Mental stress detection from biomarkers measurable by smart devices using deep learning
• Empowering traditional medicine: AI for Indian medicinal leaf recognition
• A comprehensive review on early prediction of autism spectrum disorder using deep learning
• Decision engine: Propensity prediction in the financial industry based on customer data features
• Enhancing Indian Tax Law understanding with Reptor-Driven RAG systems: A clustering and retrieval approach using LLMs
• AI in healthcare: Revolutionizing diagnosis and treatment through machine learning and artificial intelligence
• Walking signature as deep learning approach to gait-based biometric identification
• Defect detection in solar panel cells using deep learning approach in solar panel industry
• Auditory Alchemy: Transforming call center audio into actionable sentiment
• Investigating students’ perspectives on the integration of cloud computing in modern education
• Leveraging Tesseract software for optical character recognition and automated data extraction
• Inducing thinking capabilities in Large Language Models (LLM) by Synthetic dataset
• Filtering toxicity in multilingual social media conversations: A step towards safer online interactions
• Segmentation of Parkinson's disease affected brain regions in MRI using classical and deep learning techniques
• From pixels to information: A review of OCR applications in food label text recognition
• Enhance the student learning process using “Learning style identification” method with hybrid machine learning algorithm
• GNN-FedGAN: A GNN-Enhanced federated GAN for anomaly detection in IoT security
• Enhanced the network security with recurrent neural networks for intrusion detection
• Navigating the digital shift: Effective leadership strategies for remote teams in a transformative era
• Next-generation E-commerce recommendation with meta-graph transformer models
• Bridging language and layout: Natural language interface for interior 3D scene customization
• Mental health signal extraction and sentiment-driven recommendation system using GenAI
• Dynamic traffic signal optimization
• Secure AI in healthcare: Advanced privacy-preserving machine learning techniques for medical data
• Olympic data analysis using machine learning
• Extraction of visibility features by fusion of medical images based on type-2 fuzzy sets with OTLBO
• Personality detection on English dataset using machine learning and explainable AI
• Optimized mass detection in breast mammograms using YOLOv5: A CAD approach
• Fog-driven real-time heart disease prediction: A comparative study of machine learning and deep learning models for intelligent healthcare system
• Analysis for liver tumor segmentation using hybrid deep learning
• Post-quantum cryptography for NFC security
• Post quantum encryption algorithms using AI/ML
• Application of ChatGPT in today's medical system
• Leveraging transfer learning with Efficient Net for early detection of autism spectrum disorder using facial imagery
• Wireless IoT system for load supervision and protection
• IoT enabled smart stick with SOS alert and web monitoring
• Bright track web-enabled motion sensing lighting system with ESP32 and dynamic zone control
• Apple care net: Intelligent disease classification with transfer learning
• IOT-Based smart waste system with alert mechanism and route mapping
• Automated resume builder and job matcher using TF – IDF
• IoT based smart intravenous care with enabled ECG and oxygen pulse monitoring system
• AI-driven predictive Healthcare Chatbot for real-time symptom analysis and disease detection
• Forecasting crop yield using machine learning with meteorological and pesticide data
• Beyond the hybrid cloud: Towards real-time, privacy-aware, and multimodal personalized search systems using AI
• Bridging communication through gesture recognition between people with and without disabilities
• Adaptive and intelligent flow management in SDN-enabled fog networks for IoT: An industry-oriented approach
• Optimized segmentation of lung cancer images using multiple processing ML techniques
• Wireless smart helmet for mining operations with real-time monitoring using IoT
• IoT based smart fish feeder and monitoring system for enhanced aquaculture efficiency
• Web enabled fingerprint based electronic voting machine for private communities
• Machine learning based hand gesture to text model
• Advanced vehicle collision detection and avoidance system using IoT
• Neuro oncology detection using machine learning and transfer learning technique
• Aqualink – Smart water supply automation system
• Hate speech detection using AI: Towards a safer digital world
• PGGAN-Based ensemble learning for pneumonia detection with grad CAM explainability
• Machine learning-driven material recommendation for CAD-based footwear design
• Enhancing speech emotion recognition with BiLSTM and self-attention using diverse pretrained models: WavLM, HuBERT, Whisper, wav2vec 2.0, XLSR-53, and Data2Vec audio
• Phishing URL detection using machine learning
• AI-powered real-time driver drowsiness and alcohol detection system for road safety and accident
• Optimizing EEG-based harmful brain activity classification via ensemble deep learning and two-stage training
• An advanced hybrid ensemble stacking: Integrating linear regression, XGBoost and decision tree regressors for elevated predictive modeling
• Advanced technology for improved time management in traffic signals
• Machine learning based method for leaf-based disease detection in potato – ResNet50
• InceptionV3-powered deep neural network for dermatological cancer diagnosis
• An automated network monitoring and threat detection system using IP tables
• Enhancing android malware detection with CNN and LSTM
• Development of machine learning model for the detection and classification of oral mouth breathing problem in growing children
• SKintellet: Al-powered facial analysis for acne detection, oiliness assessment, personalised recommendations, and dermatologist booking
• Fairness-aware federated learning for text classification
• A detailed comparison of YOLO architectures: A performance based evaluation
• Optimizing WEDM parameters for newly developed hybrid AA6063 MMC by integrated TOPSIS-ML techniques
• Texture content based image retrieval using few-shot learning: Comparing triplet, siamese and prototypical networks
• Next-Gen AI healthcare: Integrated mental and medication platform
• IoT-enabled intelligent health diagnostics and monitoring system
• Revolutionizing veterinary care: An end-to-end MERN stack solution for pet owners and clinics
• AI workspace for research and project management with DistilBERT model
• Real-time object identification and activity classification in surveillance videos for anomaly detection and SOS alerts
• Enhancing transparency through blockchain technology: A comprehensive review of techniques, challenges, and future directions
• A novel MRI based deep learning ensemble approach for the prognosis of multiclass brain tumor
• Enhancing legal text summarization using fine-tuned and hybrid models on the billsum dataset
• A comparative study of authentication schemes in IoDN: From traditional cryptography to post-quantum innovations
• Enhanced object identification in low-visibility conditions using thermal imaging
• Students' self-determined motivation towards Gen AI usage for academic performance
• Comparative analysis of NTRU against classical and lattice-based cryptosystems
• A novel approach to combating social engineering attacks with AI-powered threat detection
• ML-driven cybersecurity in banking
• Edge-guided semantic segmentation using deep learning
• Developments in scalp disorders diagnosis: An approach based on deep learning and image analysis
• A comprehensive survey on blockchain applications in autonomous vehicle ecosystems
• Transliterated Hindi text phishing detection using machine learning
• AI and machine learning for efficient resource allocation in real-time household garbage sorting systems
• Harnessing quantum computing in smart grids: Opportunities and challenges
• Behavioral analysis in crowds using C3D-Transformer model
• Evaluating the trade-off between real and synthetic data for diabetic retinopathy detection using deep learning models
• Heart disease prediction system using machine learning
• Ambient intelligence in industrial IoT: A survey of context-aware, adaptive, and autonomous smart manufacturing systems
• Smart diagnosis: Using CNN to identify skin conditions
• Fraudulent website detection using autoencoder, CNN, and CNN-BiLSTM models
• Hybrid self-supervised CNN architecture for oil spill segmentation using MoCo and ASPP
• Comparative analysis of machine learning and deep learning models for heart disease prediction using the Cleveland dataset
• Analyzing automation and value creation in context of aviation
• The problem of improving network intrusion detection using a hybrid CNN LSTM deep learning model: A cyber security perspective
• Security and privacy solutions for EHR systems: A comparative study of modern frameworks
• Author index