1st Edition

Smart and Distributed Computing

Edited By Pramod Singh Rathore, Sunil Kumar Copyright 2027
398 Pages
by CRC Press

398 Pages
by CRC Press

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... Read more

1.     Impact of Environmental and Host Factors on Mustard Plant Diseases: A DenseNet-Based Deep Learning Framework for Early Detection of Alternaria Blight

Shilpa Juneja, Parneeta Dhaliwal, Atul Srivastava

2.     Vision-Based Techniques for Structural Damage Assessment: Opportunities and Challenges

Rudransh Dwivedi, Vibhuti Malik, Yash Gupta, Anshika Malsaria

3.     Edge AI and Computer Vision for Real Time Surgical Guidance

Hiya Ajay Gupta1, Anshika Malsaria

4.     Agent AI Framework for Intelligent Talent Acquisition and Employee Retention in Smart Organizations

Dr.Sangeetham Rohini, Dr. K. V. Rama Murthy, Dr. Pradeep Kumar D, Mrs. Lukalapu Srijahnavi, Dr.Uvaneshwari.M, Dr. Rakatu Vijaya Lakshmi

5.     AI Powered Customer Behavior Prediction in E Commerce Using Hybrid Deep Learning and IoT Analytics

Dr. S. Nagaraju 1, Dr. Anil Kumar Kanamarlapudi 2, Dr. Pradeep Kumar D 3, Dr H Samuel Thavaraj 4, Dr. Surrya Prakash Dillibabu

6.     Agent-Based AI for Corporate Social Responsibility (CSR): Towards Data-Driven Sustainability

Dr. K. Ilangovan 1, Dr. Dhilipan C 2, Dr. John Yesudas Valluri 3, Dr.S.Chitradevi 4, Dr. Quazi Taif Sadat

7.     A Hybrid IoT–ML Framework for Forecasting, Anomaly Detection, and Economic Control in Urban Supply Chains

Vishnu Challagulla, Udaykiran Konka

8.     AI-Augmented Workforce Analytics: A Deep Learning Framework for Talent Optimization

Gautam Vikhe1, Pramoda Patro2, Manoj Kumar

9.     Explainable AI Framework for Predicting Socio-Economic Indicators in Emerging Markets

Dr Ahmad Khalid Khan, Irfan Ahmed Khan, Lubna Hamid Shah D, Shanmugananth Elayaperumal, Harcharanjit Singh

10.  AI-Driven Adaptive Learning Systems Using Reinforcement Learning for Personalized Student Modeling and Instructional Adaptation

Jayamma Rairala, Krishna Pratap Singh, Dr.D.Samundeeswari, Dr. Pradeep Kumar D, Dr.Kuraganti Santhi, Rohit Vinayak Katre

11.  Attention Enhanced Deep Learning Framework for Multi-Crop Disease Classification Using Real-Time UAV Imagery

Yogesh S. Shelar, Dr.D.Sharada Mani, Dr. Pradeep Kumar D, Dr.Palpandi.S, D K Shareef, Dr. Sushilkumar Siddhartha Salve

12.  Intelligent Agent–Driven AI Framework for Talent Acquisition and Workforce Retention in Smart Organizations

Dr Revati Ramrao Rautrao, Sulafa mohammed Gewi, Gauri Singh Bhadauria, Dr Archana Borde, Dr. Quazi Taif Sadat

13.  A 5G-Integrated IoT Framework for Real-Time Crop Disease Detection and Farmer Advisory Services

Dr.Santha kumari Kambala, Dr. Debanjan Mukherjee, Dr.Dinesh Bhardwaj, Ripal Ratilal Patel, Dr. Marisha Ani Das, Dr. Sushilkumar Siddhartha Salve

14.  Augmented Human Resource Analytics: A Deep Learning Approach for Talent Optimization

Dr Revati Ramrao Rautrao, Dr. Divya Sharma, Dr. Ninad Murlidhar Gawande, Gauri Singh Bhadauria, Dr. Quazi Taif Sadat

15.  Blockchain IoT Integration for Transparent and Secure Financial Transactions

R.S.Balasenthi, Dr. J. Balamurugan, Dr. Chinnapareddy Venkata Krishna Reddy, Dr.R.Senthamil Selvan, Dr.N.Dhasarathan

16.  Hybrid Deep Learning and Bioelectrical Signal Analysis for Accurate Prediction of Kidney Function Anomalies

Dr. Sarange Shreepad Marotrao, Dr. M. S. Kuttimarks, Dr Dharmesh Sur, Ganesula Satya Vara Prasad, Dr.R.Senthamil Selvan, Dr.N.Dhasarathan

17.  IoT and AI Driven Smart Agriculture: Predictive Models for Crop Yield and Resource Efficiency

Choppa.Ananda Kumar Reddy, Dr N. Geetha Rani, Dr.R.Senthamil Selvan, Dr.N.Dhasarathan, Dr. Sushilkumar Siddhartha Salve, Dr. J. Balamurugan

18.  Explainable AI-Driven Edge IoT System for Continuous Cardiovascular Health Monitoring

Omprakash B, Dr Kavitha S Patil, Dr Deepak N R, Shruthi B, Chaitra R

19.  Transformers in Education: Personalized Learning Systems with AI-Driven Recommendations

Ms. Saba Khan, Dr Shalini, Balakrishnan S, Nidal Al Said, Dr. Mohammad Khalid Husain, Irfan Ahmed Khan

20.  Explainable Machine Learning Models for Demand Forecasting and Inventory Management in Smart Commerce

Dr. Syed Hassan Imam Gardezi, Ghada Elkady, Aicha Hussein, Nidal Al Said, Dr. Quazi Taif Sadat

21.  IoT-Enabled Smart Irrigation Systems with AI-Driven Crop Yield Prediction

N.Praveen Kumar, Dr. J. Balamurugan, Ganesula Satya Vara Prasad, Dr.R.Senthamil Selvan, Ripal Ratilal Patel, Vishal M. Patel

22.  Edge IoT Integrated Cardiovascular Monitoring System Using Wearable Sensors and Explainable AI

Dr.M.Veerakumari, Dr N. Geetha Rani, Menakadevi.N, Dr.R.Senthamil Selvan, Dr. Sushilkumar Siddhartha Salve, Dr. J. Balamurugan

23.  Fraud Detection in Digital Banking and E-Commerce Using Deep Learning Models

Udaykiran Konka, Vishnu Challagulla

24.  Digital Twin Frameworks for Remote Patient Monitoring and Predictive Healthcare

Choppa.Ananda Kumar Reddy, Dr. J. Balamurugan, Dr.R.Senthamil Selvan, Dr. Sushilkumar Siddhartha Salve,  Dr.N.Dhasarathan

25.  Explainable NLP Models for Sentiment and Thematic Evolution in Post-Colonial English Literature

Dr Ritu Sharma, Dr Anshu Surve, Dr.Arti Bhatt, Dr Prakash V C, Dr Gulnaz Fatma

26.  Machine Learning for Financial Forecasting and Risk Assessment in Global Markets

Dr. Narendra Ryali, Dr. Manisha Pallavi Chauhan, Dr.Renu Vij, Vishnu Challagulla

27.  Federated Learning–Based Predictive Analytics for Decentralized Solar Energy Forecasting in Smart Grids

Dr.R.Naveena Bhargavi, A.Manjula , Shireesha Vepur , Divya Lakshmi Bommareddy, Maryada Sree Vani

28.  Blockchain-Backed Certification Framework for Secure and Verifiable Online Education Systems

Dr. Abhishek Kumar Mishra, Dr. Khursheeda Khatoon, Dr. Swaroop Mohanty, Dr. Manju Sharma, Shaista saber, Nidal Al Said

29.  Generative AI Models for Automated Curriculum Structuring and Intelligent Content Delivery in ICT Education

Dr H Samuel Thavaraj, Dr. S. Diwakaran, Dr. V. Ramanujam, Dr. S. Ramesh, Krishna Pratap Singh, Dr. N. Dhasarathan

30.  Generative AI for Automated Curriculum Design and Intelligent Content Delivery in ICT Education

Dr Revati Ramrao Rautrao, Dr. Bidhan Gantait, Dr. Aaquil Bunglowa, Shazia Ali, Vaibhav Sharma, Shaista Sabeer

31.  Lightweight Security Mechanisms for MQTT in Resource-Constrained IOT Environment

Revanth Kolla, U. Shiva Sai, Jai Nagamothu, and Rohit Singh

32.  Integrated Real-Time Object Detection System for Robust Autonomous Vehicle Navigation

Karandeep Singh, Preeti Tiwari, Om Sangwan, Er. Shivam Sharma

33.  Cyber-Physical Framework for Smart Ambulance Coordination

Er. Abha Agarwal, Shivam Verma, Ansh Gupta, Vishal Panwar, Deep Sinha

34.  CipherBox – Advanced Secure File Transmission Using Symmetric Cryptography

Nisheeta Chitmalwar, Anish Srinivas, Swaran Rao Nagavaram, Prasanna Mandala, Praveen Kumar Kalangi

35.  Integrating Deep Belief Nets for Enhanced Chronic Kidney Disease Prediction using Cat Boost, Random Forest with Logistic Regression as Meta Model

Akshitha K, Saloni Tiwari,Aditi Singh, Dr. Chiranji Lal Chowdhary

36.  An NLP Tool for Translating Welfare Information: A Hybrid Controlled-Language and Domain-Adapted NMT Approach

Shreya Srivastava, Tanu Pal, Shivam Sharma

37.  Pomegranate Fruit Disease Identification Using Deep Learning: Validating Public Datasets with Observational Studies from Maharashtra

Ms. Seema Murkar, Dr. Manoj Varshney, Dr. Mandar Sohani

38.  Multilingual automatic speech recognition using wav2vec2 xls-r and transformer

MA Kumar, Sai Kamal, Mithun, Akshay, Vivek

39.  Assessing AI Algorithms for Performance Optimization in Satellite Communication

Kashish Singh, Gulrej Ahmed

40.  Geophysical Waveform Inversion

Dr. MA Kumar, Arjun Reddy, Shivaramakrishna Reddy, Sai Sumanth, Sahithi Mitta

41.  Analysis of the Power-Delay Product in a Full Adder using the Quantum Logic Technique

Amrita Sajja, Surya Kumar Thadaka, M. Kiran Kumar

42.  A Symptom-Aware Knowledge Retrieval System Using LLMs and RAG

MA Kumar, Nitta Anil, Chegonda Vamshi, Nandikonda Sheshank Reddy, Bomma Richitha

43.  Smart Computing in Society 4.0

Toshani Gupta, Shikha Gupta, Anshika Malsaria, Suresh Jha

44.  Comparative Study of Models based on Machine Learning and Deep Learning for Brain Tumor Segmentation

Shaurya Sharma, Mayank Goyal, Anshika Malsaria

45.  Finnlet : An Algo Trading Platform

M.A. Kumar, Bharat, Harshit Doda, Shree Goyal, Neeraj Anthal

46.  Enhancing Congestion Management in Satellite Networks: A Comparative Study of Traditional and AI-Driven Approaches

Kashish Singh, Amit Kumar Sharma

47.  Making ViTs Practical: Efficient Designs and Edge Deployment Strategies

Abhinav Kuchhal, Anshika Malsaria

48.  CoSRaK: A Deep Learning Framework for Handwritten Digit Classification

Atul Srivastava, Aditya Srivastava, Meenu Sharma, Arijit Dutta, Vijay Shankar Sharma

49.  Exploiting Trust: A Comprehensive Review of SSL Certificate Abuse in Modern Phishing Attacks

Vaibhav Chouhan, Tarun Gupta, Shashank Soni,Shweta Sharma, Neha Singh, Surbhi syal

50.  Crime Rate Detector: A Data Driven Approach to Streamlining Investigations

Dr K Sridharan, Vignesh V, Muthu Kumar S, Praveen B

51.  Blockchain Integrated IoT Architecture for Energy Management in Smart City

Saikat Samanta, Achyuth Sarkar, Dilip Kumar

52.  Effort Estimation in Software Projects Using Machine Learning Techniques

Monika Tiwari, Shefali Parihar, Neha Shrotiya, Reeti Jaswal

53.  Sleep Quality Analysis and Health Monitoring Using IOT

Samvit Singh, Sunil Kumar and Alok Priydarsh

54.  Fertilizer Recommendation System Using Deep Learning for Rice Crop

Atul Kumar Singh, Iram Naim, Gourav Jain

55.  AI-Driven Multimodal Fusion of Speech and MRI for Early Detection of Alzheimer’s Disease

Bandaru A Chakravarthi, Gandla shivakanth, Vedavyas Gurla

56.  A Unified Explainable Multimodal Deep Learning Framework for Reliable Cardiovascular Diagnosis and Risk Prediction

Madala Nagendra Babu and Dr N. V. Chinasamy

57.  Explainable Deep Learning in Medical Imaging for Asthma Diagnosis and Phenotyping: A Novel Integrative Framework

Choutapalli Nagaraju, Dr. N. V. Chinasamy

58.  Deep Learning Based Course Recommender System for Massive Open Online Courses (MOOCs)

Mohd Moin Kamranm, Iram Naim, Gourav Jain

59.  Enhanced Real-Time ASL Alphabet Recognition and Text Conversion System

Kushagra Khandelwa, Parth Rajeshwar Khakre, Sandeep Kumar Sharma

60.  ICRF: Isotonic Calibrated Random Forest Framework for Diabetes Prediction

Atul Srivastava, Raghav Mishram, Sunil Kumar, Arijit Dutta, Vijay Shankar Sharma

61.  Sentiment Analysis Using Long Short-Term Memory on Twitter Dataset

Mohan Rao Mamdikar, Vishal Kumar Sahu and Harsh Marcus

62.  Learning Activity IOT based Monitor for Special Need Education

Simran Chawla, Lalam Mishra, Ritesh, Aryan Tiwari, Chirag Kakkar, Sahil Rana

63.  IoT-Based Gas Leak Detection and Notification System: A Scalable Solution using ESP32, Firebase, and Mobile Integration

Sravan A L, Adithyan S, Hemlata Goyal

64.  Topology-Aware Multimodal Fusion of Transformer, GNN, and IoT Streams for Predictive Customer Modelling in E-Commerce Platforms

Gautam Vikhe, Pramoda Patro, Manoj Kumar

65.  AI-Enhanced Edge Devices for Real-Time Monitoring in Smart Agricultural Systems

Monika Tiwari, Urmil bhatt , Singh Shikha Vijay, Roop Kumar, Amit Chakrawarti, Kamlesh Tripathi

Biography

Pramod Singh Rathore is working in the Department of Computer and Communication Engineering, Manipal University Jaipur. He has completed his Ph. D. in Computer Science & Engineering from the University of Engineering and Management, Jaipur (UEM) and done M. Tech in Computer Sci. & Engineering from the Government Engineering College Ajmer, Rajasthan Technical University, Kota, India. With over 15 years of academic teaching experience, he has published more than 95 papers in reputable, peer-reviewed national and international journals, books, and conferences. He has co-authored and edited numerous books with well-known publishers. His research interests include computer networks, data mining, and DBMS. He is a senior member of IEEE. He also serves on the editorial and advisory committees of the Global Journal Group. He is a senior member of reputed technical societies like IEEE. He is also a member of various national and international professional societies in engineering and research, including the ACM and the International Association of Engineers (IAENG).

Sunil Kumar is a distinguished academician, currently serving as Head of the Department of Computer and Communication Engineering at Manipal University Jaipur. He started his journey as an academician as a lecturer at Guru Jambheshwar University Hisar from 2002-2003. From 2003 to 2017, he worked in different academic positions as a Lecturer, Assistant Professor, and Associate Professor at Mody University of Science and Technology, Lakshmangarh. He was an Associate Professor from 2017 to 2020 and Professor since 2020 at the Department of Computer and Communication Engineering at Manipal University Jaipur. Sunil Kumar obtained an M. Tech. in Computer Science and Engineering, from Kurukshetra University, Kurukshetra in 2001. He received a Ph.D. in Engineering from Mody University of Science and Technology in 2015 in Image Forensics. He has qualified Graduate Aptitude Test in Engineering (GATE) in Computer Science and the UGC-National Eligibility Test (NET) in Computer Applications. He has supervised many undergraduate and postgraduate projects and currently supervising 05 Ph.D. thesis. He has authored more than 35 articles in national and international journals and conferences. He is a reviewer of many high-impact journals and an evaluator of Smart India Hackathons. He has been a TPC member of more than 50 international conferences and chaired many sessions. He has one patent granted and many published in patent office journal, India. He has design patents and copyrights to his credit. He is a senior member of reputed technical societies like IEEE, CSI, IUPRAI, and IEI. He has been co-chairman of various international conferences, including Innovations in Computational Intelligence and Computer Vision (ICICV) 2020/2021/2022/2024/2025. He has organized many FDPs including ATAL FDP. His main research areas include Machine Intelligence, Energy Efficient Cloud Infrastructure, and IoT.