Smart and Distributed Computing

Pramod Singh Rathore, Sunil Kumar

• Publisher: CRC Press
• Year: 2026
• Print ISBN:
  9781041376514
  9781041333937
• Edition: 1
• eBook ISBN:
  9781040987469
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

The book presents a forward-thinking and interdisciplinary collection of research contributions that seamlessly integrate technological innovation with the principles of sustainability. The core purpose of the book is to foster dialogue and collaboration focused on building intelligent, secure, and environmentally responsible computing systems. As the digital landscape rapidly evolves, ICSDC 2025 addresses the critical need for advanced distributed and intelligent technologies that align with global sustainable development goals.

A prominent feature of ICSDC 2025 is its emphasis on Digital Twin technologies. These virtual counterparts of physical systems allow for continuous monitoring, simulation, and lifecycle management of assets. They are increasingly being adopted in sectors such as industrial automation, infrastructure development, environmental monitoring, and healthcare. By providing real-time feedback and scenario modeling, digital twins promote more informed decision-making and efficient use of energy, materials, and human resources. The conference is deeply aligned with the vision of Industry 5.0, which emphasizes human-centric design, ethical AI, and intelligent automation. ICSDC 2025 highlights innovations that prioritize sustainability, resilience, and collaboration between humans and machines. Topics such as federated learning, cyber-physical systems, and context-aware computing are featured prominently, showcasing the potential of emerging technologies to enable a more inclusive and sustainable industrial future. The book includes research on low-power computing architectures, green AI models, edge intelligence, privacy-preserving mechanisms, and secure distributed systems.

The intended audience of ICSDC 2025 includes academic researchers, industry practitioners, system architects, and policy decision-makers who are working at the intersection of technology and sustainability. It serves as a strategic reference point for those seeking to design, implement, and scale digital ecosystems that are not only smart and secure but also equitable, human-centric, and environmentally sustainable.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• Preface
• Foreword
• Editor Biographies
• Organizing Committee
• Local Organizing Committee
• International Advisory Board
• National Advisory Board
• Technical Program Committee
• Session Chairs
• Scientific Committee
• Impact of Environmental and Host Factors on Mustard Plant Diseases: A DenseNet-Based Deep Learning Framework for Early Detection of Alternaria Blight
• Vision-Based Techniques for Structural Damage Assessment: Opportunities and Challenges
• Edge AI and Computer Vision for Real Time Surgical Guidance
• Agent AI Framework for Intelligent Talent Acquisition and Employee Retention in Smart Organizations
• AI Powered Customer Behavior Prediction in E Commerce Using Hybrid Deep Learning and IoT Analytics
• Agent-Based AI for Corporate Social Responsibility (CSR): Towards Data-Driven Sustainability
• A Hybrid IoT–ML Framework for Forecasting, Anomaly Detection, and Economic Control in Urban Supply Chains
• AI-Augmented Workforce Analytics: A Deep Learning Framework for Talent Optimization
• Explainable AI Framework for Predicting Socio-Economic Indicators in Emerging Markets
• AI-Driven Adaptive Learning Systems Using Reinforcement Learning for Personalized Student Modeling and Instructional Adaptation
• Attention Enhanced Deep Learning Framework for Multi-Crop Disease Classification Using Real-Time UAV Imagery
• Intelligent Agent-Driven AI Framework for Talent Acquisition and Workforce Retention in Smart Organizations
• A 5G-Integrated IoT Framework for Real-Time Crop Disease Detection and Farmer Advisory Services
• Augmented Human Resource Analytics: A Deep Learning Approach for Talent Optimization
• Blockchain IoT Integration for Transparent and Secure Financial Transactions
• Hybrid Deep Learning and Bioelectrical Signal Analysis for Accurate Prediction of Kidney Function Anomalies
• IoT and AI Driven Smart Agriculture: Predictive Models for Crop Yield and Resource Efficiency
• Explainable AI-Driven Edge IoT System for Continuous Cardiovascular Health Monitoring
• Transformers in Education: Personalized Learning Systems with AI-Driven Recommendations
• Explainable Machine Learning Models for Demand Forecasting and Inventory Management in Smart Commerce
• IoT-Enabled Smart Irrigation Systems with AI-Driven Crop Yield Prediction
• Edge IoT Integrated Cardiovascular Monitoring System Using Wearable Sensors and Explainable AI
• Fraud Detection in Digital Banking and E-Commerce Using Deep Learning Models
• Digital Twin Frameworks for Remote Patient Monitoring and Predictive Healthcare
• Explainable NLP Models for Sentiment and Thematic Evolution in Post-Colonial English Literature
• Machine Learning for Financial Forecasting and Risk Assessment in Global Markets
• Federated Learning-Based Predictive Analytics for Decentralized Solar Energy Forecasting in Smart Grids
• Blockchain-Backed Certification Framework for Secure and Verifiable Online Education Systems
• Generative AI Models for Automated Curriculum Structuring and Intelligent Content Delivery in ICT Education
• Generative AI for Automated Curriculum Design and Intelligent Content Delivery in ICT Education
• Lightweight Security Mechanisms for MQTT in Resource-Constrained IOT Environment
• Integrated Real-Time Object Detection System for Robust Autonomous Vehicle Navigation
• Cyber-Physical Framework for Smart Ambulance Coordination
• CipherBox – Advanced Secure File Transmission Using Symmetric Cryptography
• Integrating Deep Belief Nets for Enhanced Chronic Kidney Disease Prediction Using Cat Boost, Random Forest with Logistic Regression as Meta Model
• An NLP Tool for Translating Welfare Information: A Hybrid Controlled-Language and Domain-Adapted NMT Approach
• Pomegranate Fruit Disease Identification Using Deep Learning: Validating Public Datasets with Observational Studies from Maharashtra
• Multilingual Automatic Speech Recognition Using wav2vec2 XLS-R and Transformer
• Assessing AI Algorithms for Performance Optimization in Satellite Communication
• Geophysical Waveform Inversion
• Analysis of the Power-Delay Product in a Full Adder Using the Quantum Logic Technique
• A Symptom-Aware Knowledge Retrieval System Using LLMs and RAG
• Smart Computing in Society 4.0
• Comparative Study of Models Based on Machine Learning and Deep Learning for Brain Tumor Segmentation
• Finnlet: An Algo Trading Platform
• Enhancing Congestion Management in Satellite Networks: A Comparative Study of Traditional and AI-Driven Approaches
• Making ViTs Practical: Efficient Designs and Edge Deployment Strategies
• CoSRaK: A Deep Learning Framework for Handwritten Digit Classification
• Exploiting Trust: A Comprehensive Review of SSL Certificate Abuse in Modern Phishing Attacks
• Crime Rate Detector: A Data Driven Approach to Streamlining Investigations
• Blockchain Integrated IoT Architecture for Energy Management in Smart City
• Effort Estimation in Software Projects Using Machine Learning Techniques
• Sleep Quality Analysis and Health Monitoring Using IOT
• Fertilizer Recommendation System Using Deep Learning for Rice Crop
• AI-Driven Multimodal Fusion of Speech and MRI for Early Detection of Alzheimer's Disease
• A Unified Explainable Multimodal Deep Learning Framework for Reliable Cardiovascular Diagnosis and Risk Prediction
• Explainable Deep Learning in Medical Imaging for Asthma Diagnosis and Phenotyping: A Novel Integrative Framework
• Deep Learning Based Course Recommender System for Massive Open Online Courses (MOOCs)
• Enhanced Real-Time ASL Alphabet Recognition and Text Conversion System
• ICRF: Isotonic Calibrated Random Forest Framework for Diabetes Prediction
• Sentiment Analysis Using Long Short-Term Memory on Twitter Dataset
• Learning Activity IOT Based Monitor for Special Need Education
• IoT-Based Gas Leak Detection and Notification System: A Scalable Solution Using ESP32, Firebase, and Mobile Integration
• Topology-Aware Multimodal Fusion of Transformer, GNN, and IoT Streams for Predictive Customer Modelling in E-Commerce Platforms
• AI-Enhanced Edge Devices for Real-Time Monitoring in Smart Agricultural Systems
• Author Index