Recent Advances in Computational Methods in Science and Technology: 2-Volume Set
Editat de Sukhpreet Kaur, Amanpreet Kaur, Manish Kumaren Limba Engleză Hardback – 19 ian 2026
This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, and Artificial Intelligence. It presents cutting-edge developments that offer real-time support and enhanced security solutions for advanced learners, researchers, and academicians. This comprehensive resource can help promote translation of basic research into applied investigation and convert applied investigation into practice.
This compilation is expected to be of significant value to a diverse audience, including researchers, academicians, undergraduate and postgraduate students, research scholars, professionals, technologists, and entrepreneurs.
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Specificații
ISBN-13: 9781041243595
ISBN-10: 1041243596
Pagini: 1144
Dimensiuni: 174 x 246 mm
Greutate: 2.28 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1041243596
Pagini: 1144
Dimensiuni: 174 x 246 mm
Greutate: 2.28 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Academic, Further/Vocational Education, Postgraduate, Professional Reference, and Undergraduate AdvancedCuprins
Volume 1
1. The AI-Driven Investment Prediction: A Machine Learning Approach for Global Investment Analysis 2. Real-Time Event Detection for public Safety Using Deep Learning: Enhanced Model with Hybrid CNN-LSTM-Transformer and Noise Reduction 3. Architectural Insights and Scheduling Techniques in Fog Computing Challenges and Future Prospects 4. Advancements in Deep Learning Techniques for Diabetic Retinopathy Detection with Statistical Insights and Future Prospects 5. Intelligent Detection of Brain Haemorrhage using Deep Learning Algorithms: A Comprehensive Approach 6. A Hybrid Ensemble Model for Intrusion Detection in Cloud Environment with Transparent and Explainable AI Techniques 7. Real-time intrusion detection using deep neural networks 8. Crop Classification Using Deep Learning and Satellite Data for Precision Agriculture 9. A Hybrid Neural Network Approach Using LSTM and XGBoost for Network Intrusion Detection and Classification 10. Detection of fungal infection in dogs using deep learning techniques 11. Hybrid optimization algorithm for feature extraction with random forest for migraine detection 12. Face recognition door lock security system 13. WSHT: A Wavelet-Swin Hybrid Transformer for Accurate and Automated Lung Nodule Segmentation in CT Imaging 14. Exploring Speech Recognition and Pronunciation Accuracy Detection Techniques: A Comprehensive Review 15. Optimizing E-Commerce Insights Through Synthetic Data Generation and Big Data-Driven Machine Learning 16. Secure and Transparent Real Estate Price Predictions: Integrating Machine Learning and Blockchain 17. Air Quality Monitoring System Based on IoT 18. Intelligent Diagnosis of Neurological Diseases: A ML Model for Early Alzheimer's Detection 19. Detecting Fake Voices: Survey on Audio Deepfake Detection 20. Enhanced Flood Prediction and Risk Assessment using Machine and Deep Learning-Based Approaches 21. Early Prediction of Multi-Diseases Using AI Techniques to Promote Health and Well-Being 22. A Deep Hybrid Approach to Thyroid Detection: Integrating TabNet and Vision Transformers(ViT) 23. A Comprehensive Review of Sentiment Analysis and Content Prediction in Social Media: Techniques, Trends, and Applications 24. Automated System for Predicting Cardiovascular Disease Using Machine and Deep Learning 25. Object Detection for Blind Persons 26. Comorbidity Forecasting in Asthma: A Multimodal Learning Approach with Clinical and Environmental Data 27. Advancing brain tumor detection with deep learning: a comprehensive review 28. Implementation and Validation of an Onset Prediction Model for Seizure Detection 29. Hybrid Deep Learning Models For Automated Fetal Health Prediction Using Cardiotocograpghy Signals 30. A Comparative Study of Chaotic and DNA-Based Lightweight Cryptographic Schemes for IoT devices 31. Machine Learning based Optimized Water Assessment and Auto-Irrigation over Internet of Things Framework 32. MedXTech : Developing a Patient Condition Prediction System 33. A Comparative Analysis of Two Hyperchaotic Image Encryption Schemes: Dynamic DNA Encoding vs. ABC-Optimized Watermarking 34. Deep learning-based cyber threat detection in big data environments 35. Deep Learning-Based Plant Leaf Disease Detection Using CNNs and Hybrid Vision Transformer Architectures for Precision Agriculture 36. Deep Learning Applications in Thyroid Disease and Cancer Diagnosis 37. A Proactive Security Approach for Cyber-Physical Systems Using Modbus Honeypots 38. Review on feasibility of Underwater wireless Optical Communication 39. Multimodal Sentiment Analysis: Advances in Machine Learning and Deep Learning Approaches 40. Predicting Smartphone Addiction Using Machine Learning: A Behavioural and Neural Approach 41. Development of IoT Based Fruit Condition Monitoring System 42. Hybrid Machine Learning Models For The Prediction And Recommendation Of Different Types Of Crops Disease: A Review 43. Benchmarking Artifact-Based Deepfake Detection: Metrics- Driven Analysis of Model Performance 44. A Robust Multi-Class Text Classification Framework Using TF-IDF Features and Soft Voting Ensembles 45. Heart Attack Risk Prediction Using Ensemble Machine Learning Models on Clinical Data 46. Blockchain-Based Data Sharing Framework for Multi-Party Collaboration in Distributed System 47. EchoText: Integrating Whisper and YAMNet Models for Comprehensive Audio Analysis and Subtitle Generation 48. Comparison of Text Vectorization Techniques: TF-IDF, Word2Vec, BERT, and FastText 49. An Optimized Deep Learning-Based Intrusion Detection System for IoT Botnets Using Hybrid Feature Selection 50. Leveraging Machine Learning for Advanced Cyber Threat Detection in Network Traffic: A Comprehensive Review 51. A Novel LSTM-Based Method for Identifying Epileptic Seizures from EEG Data 52. Hybrid AI Models for Real-Time Intrusion Detection in Large-Scale Big Data 53. A Predictive Analysis of Network-Based Cybersecurity Threats Using Ensemble and Discriminant Learning Approaches 54. Machine Learning-Based Crop Recommendation System Using Agro-Environmental Parameters 55. Analyzing and Predicting CO₂ Emissions and Their Impact on Global Warming Using Linear Regression Techniques 56. The Digital Field: Integrating IoT and Deep Learning for Agricultural Excellence 57. Automated Transcription and Summarization of Video Content Using Whisper and Transformers: A Hybrid Deep Learning Approach 58. Enhancing Cardiovascular Illness Prediction with Machine Learning Algorithm-A Broad Review 59. Detection of Parkinson’s Disease Using Machine Learning and Deep Learning Techniques: A Review 60. A Bibliometric Analysis on Deep Learning and IoT Based Mushroom Cultivation 61. Advances in AI-Driven Optical Sensing for Aflatoxin Detection in Rice: A Review of UV Fluorescence and Hyperspectral Imaging 62. Applications and Monitoring System in IOT-driven healthcare technologies 63. Credit Card Fraud Detection using Machine Learning: A Comprehensive Survey and Analysis 64. Transformers and Capsule Networks for Accurate Cardiomegaly Detection in Medical Imaging 65. Harnessing YOLOv5 for Real-Time Object Detection: A Cloud-Based Approach 66. Generative AI Application for the Elderly with Dementia 67. Deep Learning Based Data Security in Mobile Networks 68. Role of Data Augmentation in Medical Image Analysis 69. Comparative Analysis of Deep Learning Architectures for Image Classification in Gastric Cancer Detection 70. CNN based Detection of Image Splicing: A Deep Learning Approach 71. Detecting Mental Health Influences on Night Eating Syndrome with Clustering Methods amongst University Students 72. Predictive Maintenance of Vehicles: A Comparative Study of Predictive Models 73. A Sequential CNN Framework for Accurate Brain Tumor Detection and Subtyping 74. Affective deep learning approach to personalised music recommendation 75. Breast Cancer Detection using Deep Learning on Medical Imaging Modalities: A Comprehensive Review 76. Machine Learning based Decision Tree for Hotspot Prediction in Cloud Computing Environment 77. A Comparative Study of Federated Learning Model Weight Aggregation Algorithms for Privacy-Preserving IoMT Applications 78. Transfer Learning Pipeline from VGGNet To ViT in Hybrid Image Processing 79. Analysis of energy-efficient task scheduling in IoT-fog-cloud environments using nature-inspired optimization algorithms 80. Towards Precision Agriculture: A Review of Image Segmentation Techniques and Their Future Prospects 81. A Hybrid Deep Learning Model for Robust Detection of Foliar Diseases in Cultivated Plants 82. Predicting Friendship and Followers Growth in Social Networks using ML-Based Link Prediction
Volume 2
1. Mental Disorder Detection using Neuralink Neuralink and the Future of Mental Disorder Diagnostics 2. Towards Intelligent Attendance Management System with Face Recognition using LBPH Algorithm 3. Vedcure : Towards intelligent Ayurvedic Drug Recommendation and Disease Prediction 4. Intelligent Anomaly Detection In Big Data Environments Using Unsupervised Machine Learning 5. Automated Social Media Bot Detection Using Metadata and Machine Learning 6. Monitoring Malnutrition with Machine Learning: An In-Depth Review 7. Smart Risk Scoring: Mapping Urban Behaviour, Pollution, And Insurance Costs Using Explainable Machine Learning 8. Comparative Evaluation of LLM-Based Error Correction on Tesseract OCR Output 9. Real -Time Malware Detection Using Convolutional Neural Networks 10. Applying Machine Learning Algorithms for the Classification of Sleep Disorders 11. Deep Learning based approaches for diagnosis and detection of different types of brain cancer 12. Enhancing Computer Vision Systems Through Integration of Attention Mechanisms and Transformer Networks for Object Detection 13. Adaptive Region-Based Image Segmentation and Classification Using Transfer Learning for Agricultural Disease Detection Systems 14. Implementation of Advanced Machine Learning Algorithms for Predictive Maintenance in Industrial Internet of Things Networks 15. Lung Cancer Detection Model Using ML Algorithms by Various Parameters of Patient 16. Artificial Intelligence-Based Approaches for the Early Prediction and Classification of Pancreatic Cancer Conditions 17. Intrusion Detection System Using Random Forest for Real-Time Network Security 18. Machine Learning in Cybersecurity: A Predictive Model for Threat Detection 19. Advanced Personal Security Application for Women Using AI, Blockchain, and Real-Time Monitoring 20. Precision Aflatoxin Detection in Rice A Systematic Review of Optical Sensing and a Farmer-Centric UV-HSI Solution for Smallholder Agriculture 21. Enhancing Cardiovascular Disease Prediction using Optimized Machine Learning Technique 22. Task Management Application with AI-powered Task Prioritization Deployed on Multi-Cloud Platform 23. Fine-Tuned BERT-Based Sentiment Analysis Model for Twitter Data and It’s Deployment on AWS Fargate 24. Quantum-Enhanced Cloud Paradigms: Emerging Architectures and Integration Challenges 25. Harnessing Hybrid Intelligence A CNN-SVM Approach for Precise Neem Leaf Disease Classification 26. Application of DCT Domain Based Image Improvement for Vision Impaired People 27. Multivariate Statistical Exploration of Post-Pandemic Behavior in Bareilly: An Integrated PCA 28. AI Therapist: A RAG-Enhanced Mental Health Platform Integrating Google Gemini for Personalised Support 29. Explainable Multimodal Deep Learning for Breast Cancer Diagnosis 30. Integrated Vision and Sensor Data Framework for Fire Severity Forecasting 31. A Hybrid Evaluation Framework for Machine Learning and Deep Learning Models in Semantic Sentiment Analysis of Twitter Data Stream 32. Global supply chain disruption analysis using trade and logistics big data 33. A hybrid KNN and Tri-Ensemble approach for Predicting HMPV Infection 34. Analyzing Data Concealment Techniques in NTFS File System Using Computer File Forensics 35. Multi-modal Imaging Integration Through Deep Learning 36. Enriching Lives: Utilizing ML Algorithms for Prediction of Cardiovascular Disease 37. Dimensionality Reduction and XAI Approaches for Analyzing Multivariate Socioeconomic Shifts During COVID-19 38. A Comprehensive Review of Brain Tumor Detection Techniques Using Generative Models 39. Brain Tumor Detection Using Generative AI 40. Forest-based Anomaly Detection and Isolation for Cyber Security Applications 41. HEDGE: A Sustainable Framework for Energy Efficient Optimized Proof of Work in Blockchain Systems 42. Secure IoT Environments with Hybrid Deep CNN and BiLSTM-Based Intrusion Detection 43. Edge-Enhanced Communication Protocols for Real-Time Data Processing in UAV Systems 44. Environmental Impacts of Cyber Threats: An Emerging Dimension of Digital Security 45. A Holistic Approach to Yamuna River Rejuvenation through Green Technology and Community Participation 46. A Shift-Left Performance Engineering Approach Using LoadRunner Dev Web Protocol in Agile Development Pipelines 47. Literature Survey on Techniques and Challenges to Diagnose the Gastrointestinal Tract 48. Machine Learning aspects to measure and predict UHI using Urban Morphology features 49. Enhanced Oral Cancer Detection Using CNN Optimized by Hybrid Grey Wolf-Particle Swarm Algorithm 50. Analyzing the Effects of Model Architecture on Feature Importance Using Explainable AI Techniques 51. Unboxing the Black Box: A Survey on Explainable Artificial Intelligence Approaches in ML 52. Comparative Evaluation of Transformer-Based Models for Sentiment Analysis of E-Commerce Reviews Using PyTorch 53. A Comparative Analysis of Fundamental Edge Detection Techniques for Medical Images 54. Continual Learning in Neural Networks: Addressing Catastrophic Forgetting through Scalable and Robust Methods 55. A Comprehensive Review of Synthetic Data Generation: Models, Metrics, and Industry Use Cases 56. Leveraging Machine Learning Techniques for Enhanced Skin Cancer Detection 57. An approach to reduce carbon footprint on environment-A Comparative Analysis 58. DeepFake Detection using Deep Learning Techniques 59. Neural Architecture Search: Automating Deep Learning Model Optimization for Enhanced Performance and Scalability 60. Comprehensive Review of Machine Learning and Deep Learning Frameworks for Robust Classification of Multiclass Leaf Diseases under Variable Conditions 61. A Study of Machine Learning and Deep Learning Models for PCOS Diagnosis 62. Mitigating AI Bias and Advancing Fairness: A Systematic Survey of Techniques, Tools, and Ethical Implications in Machine Learning 63. Reducing Carbon Footprint in AI Workloads Using Serverless Cloud Architectures 64. Reinforcement Learning with Deep Q-Networks for Predictive Trading in the NSE Market 65. Investigation of Cloud Computing-Based Capacity Building for Successful IoT Application Implementations 66. Intelligent Rollback Mechanisms for Kubernetes Deployments Using Reinforcement Learning 67. Plant Leaf Classification Using Machine Learning and Deep Learning: A Review of CNN- Based Approaches 68. Machine Learning Approaches for the Detection and Classification of Plant Leaf Diseases 69. From Simulated to Real: Integrating Deep Learning for Efficient Medical Image Analysis Solutions 70. Empowering SOCs: A Conceptual Analysis of Agentic AI’s Transformative Potential in Cybersecurity Operations 71. Deep Reinforcement Learning to Improve Interactive Virtual Reality Training Environments: An Inclusive Strategy for Personalized Learning, Skill Development and Mental Health 72. AI-Powered Urban Planning: Predictive Analytics for Sustainable Development 73. Trust Calibration in AI Systems: Bridging the Gap Between Automation and Intuition 74. Modern Road Management Framework: Development Approaches 75. Distributed Intelligence in 6G: The Role of Federated Learning and Edge Computing 76. Hybrid Stacking Ensemble for Multi-Class Diagnosis of Pancreatic Conditions Using Clinical Features 77. Self-Organizing Particle Swarm Optimization for Multi-Objective Resource Allocation in Massive MIMO-Enabled 5G Wireless Communication Networks 78. Diagnosis and Tau Burden Prediction in Alzheimer's Disease via Non-Invasive Biomarkers and Gradient Boosting Models 79. Vocal Biomarkers in Medicine: A New Era for Chronic Disease Diagnosis 80. Reading Between the Vessels: A Clear AI Method for Finding Both Diabetic Retinopathy and Cardiovascular Risk 81. Hybrid ML Forecasting Model for Fertilizer and Crop Yield
1. The AI-Driven Investment Prediction: A Machine Learning Approach for Global Investment Analysis 2. Real-Time Event Detection for public Safety Using Deep Learning: Enhanced Model with Hybrid CNN-LSTM-Transformer and Noise Reduction 3. Architectural Insights and Scheduling Techniques in Fog Computing Challenges and Future Prospects 4. Advancements in Deep Learning Techniques for Diabetic Retinopathy Detection with Statistical Insights and Future Prospects 5. Intelligent Detection of Brain Haemorrhage using Deep Learning Algorithms: A Comprehensive Approach 6. A Hybrid Ensemble Model for Intrusion Detection in Cloud Environment with Transparent and Explainable AI Techniques 7. Real-time intrusion detection using deep neural networks 8. Crop Classification Using Deep Learning and Satellite Data for Precision Agriculture 9. A Hybrid Neural Network Approach Using LSTM and XGBoost for Network Intrusion Detection and Classification 10. Detection of fungal infection in dogs using deep learning techniques 11. Hybrid optimization algorithm for feature extraction with random forest for migraine detection 12. Face recognition door lock security system 13. WSHT: A Wavelet-Swin Hybrid Transformer for Accurate and Automated Lung Nodule Segmentation in CT Imaging 14. Exploring Speech Recognition and Pronunciation Accuracy Detection Techniques: A Comprehensive Review 15. Optimizing E-Commerce Insights Through Synthetic Data Generation and Big Data-Driven Machine Learning 16. Secure and Transparent Real Estate Price Predictions: Integrating Machine Learning and Blockchain 17. Air Quality Monitoring System Based on IoT 18. Intelligent Diagnosis of Neurological Diseases: A ML Model for Early Alzheimer's Detection 19. Detecting Fake Voices: Survey on Audio Deepfake Detection 20. Enhanced Flood Prediction and Risk Assessment using Machine and Deep Learning-Based Approaches 21. Early Prediction of Multi-Diseases Using AI Techniques to Promote Health and Well-Being 22. A Deep Hybrid Approach to Thyroid Detection: Integrating TabNet and Vision Transformers(ViT) 23. A Comprehensive Review of Sentiment Analysis and Content Prediction in Social Media: Techniques, Trends, and Applications 24. Automated System for Predicting Cardiovascular Disease Using Machine and Deep Learning 25. Object Detection for Blind Persons 26. Comorbidity Forecasting in Asthma: A Multimodal Learning Approach with Clinical and Environmental Data 27. Advancing brain tumor detection with deep learning: a comprehensive review 28. Implementation and Validation of an Onset Prediction Model for Seizure Detection 29. Hybrid Deep Learning Models For Automated Fetal Health Prediction Using Cardiotocograpghy Signals 30. A Comparative Study of Chaotic and DNA-Based Lightweight Cryptographic Schemes for IoT devices 31. Machine Learning based Optimized Water Assessment and Auto-Irrigation over Internet of Things Framework 32. MedXTech : Developing a Patient Condition Prediction System 33. A Comparative Analysis of Two Hyperchaotic Image Encryption Schemes: Dynamic DNA Encoding vs. ABC-Optimized Watermarking 34. Deep learning-based cyber threat detection in big data environments 35. Deep Learning-Based Plant Leaf Disease Detection Using CNNs and Hybrid Vision Transformer Architectures for Precision Agriculture 36. Deep Learning Applications in Thyroid Disease and Cancer Diagnosis 37. A Proactive Security Approach for Cyber-Physical Systems Using Modbus Honeypots 38. Review on feasibility of Underwater wireless Optical Communication 39. Multimodal Sentiment Analysis: Advances in Machine Learning and Deep Learning Approaches 40. Predicting Smartphone Addiction Using Machine Learning: A Behavioural and Neural Approach 41. Development of IoT Based Fruit Condition Monitoring System 42. Hybrid Machine Learning Models For The Prediction And Recommendation Of Different Types Of Crops Disease: A Review 43. Benchmarking Artifact-Based Deepfake Detection: Metrics- Driven Analysis of Model Performance 44. A Robust Multi-Class Text Classification Framework Using TF-IDF Features and Soft Voting Ensembles 45. Heart Attack Risk Prediction Using Ensemble Machine Learning Models on Clinical Data 46. Blockchain-Based Data Sharing Framework for Multi-Party Collaboration in Distributed System 47. EchoText: Integrating Whisper and YAMNet Models for Comprehensive Audio Analysis and Subtitle Generation 48. Comparison of Text Vectorization Techniques: TF-IDF, Word2Vec, BERT, and FastText 49. An Optimized Deep Learning-Based Intrusion Detection System for IoT Botnets Using Hybrid Feature Selection 50. Leveraging Machine Learning for Advanced Cyber Threat Detection in Network Traffic: A Comprehensive Review 51. A Novel LSTM-Based Method for Identifying Epileptic Seizures from EEG Data 52. Hybrid AI Models for Real-Time Intrusion Detection in Large-Scale Big Data 53. A Predictive Analysis of Network-Based Cybersecurity Threats Using Ensemble and Discriminant Learning Approaches 54. Machine Learning-Based Crop Recommendation System Using Agro-Environmental Parameters 55. Analyzing and Predicting CO₂ Emissions and Their Impact on Global Warming Using Linear Regression Techniques 56. The Digital Field: Integrating IoT and Deep Learning for Agricultural Excellence 57. Automated Transcription and Summarization of Video Content Using Whisper and Transformers: A Hybrid Deep Learning Approach 58. Enhancing Cardiovascular Illness Prediction with Machine Learning Algorithm-A Broad Review 59. Detection of Parkinson’s Disease Using Machine Learning and Deep Learning Techniques: A Review 60. A Bibliometric Analysis on Deep Learning and IoT Based Mushroom Cultivation 61. Advances in AI-Driven Optical Sensing for Aflatoxin Detection in Rice: A Review of UV Fluorescence and Hyperspectral Imaging 62. Applications and Monitoring System in IOT-driven healthcare technologies 63. Credit Card Fraud Detection using Machine Learning: A Comprehensive Survey and Analysis 64. Transformers and Capsule Networks for Accurate Cardiomegaly Detection in Medical Imaging 65. Harnessing YOLOv5 for Real-Time Object Detection: A Cloud-Based Approach 66. Generative AI Application for the Elderly with Dementia 67. Deep Learning Based Data Security in Mobile Networks 68. Role of Data Augmentation in Medical Image Analysis 69. Comparative Analysis of Deep Learning Architectures for Image Classification in Gastric Cancer Detection 70. CNN based Detection of Image Splicing: A Deep Learning Approach 71. Detecting Mental Health Influences on Night Eating Syndrome with Clustering Methods amongst University Students 72. Predictive Maintenance of Vehicles: A Comparative Study of Predictive Models 73. A Sequential CNN Framework for Accurate Brain Tumor Detection and Subtyping 74. Affective deep learning approach to personalised music recommendation 75. Breast Cancer Detection using Deep Learning on Medical Imaging Modalities: A Comprehensive Review 76. Machine Learning based Decision Tree for Hotspot Prediction in Cloud Computing Environment 77. A Comparative Study of Federated Learning Model Weight Aggregation Algorithms for Privacy-Preserving IoMT Applications 78. Transfer Learning Pipeline from VGGNet To ViT in Hybrid Image Processing 79. Analysis of energy-efficient task scheduling in IoT-fog-cloud environments using nature-inspired optimization algorithms 80. Towards Precision Agriculture: A Review of Image Segmentation Techniques and Their Future Prospects 81. A Hybrid Deep Learning Model for Robust Detection of Foliar Diseases in Cultivated Plants 82. Predicting Friendship and Followers Growth in Social Networks using ML-Based Link Prediction
Volume 2
1. Mental Disorder Detection using Neuralink Neuralink and the Future of Mental Disorder Diagnostics 2. Towards Intelligent Attendance Management System with Face Recognition using LBPH Algorithm 3. Vedcure : Towards intelligent Ayurvedic Drug Recommendation and Disease Prediction 4. Intelligent Anomaly Detection In Big Data Environments Using Unsupervised Machine Learning 5. Automated Social Media Bot Detection Using Metadata and Machine Learning 6. Monitoring Malnutrition with Machine Learning: An In-Depth Review 7. Smart Risk Scoring: Mapping Urban Behaviour, Pollution, And Insurance Costs Using Explainable Machine Learning 8. Comparative Evaluation of LLM-Based Error Correction on Tesseract OCR Output 9. Real -Time Malware Detection Using Convolutional Neural Networks 10. Applying Machine Learning Algorithms for the Classification of Sleep Disorders 11. Deep Learning based approaches for diagnosis and detection of different types of brain cancer 12. Enhancing Computer Vision Systems Through Integration of Attention Mechanisms and Transformer Networks for Object Detection 13. Adaptive Region-Based Image Segmentation and Classification Using Transfer Learning for Agricultural Disease Detection Systems 14. Implementation of Advanced Machine Learning Algorithms for Predictive Maintenance in Industrial Internet of Things Networks 15. Lung Cancer Detection Model Using ML Algorithms by Various Parameters of Patient 16. Artificial Intelligence-Based Approaches for the Early Prediction and Classification of Pancreatic Cancer Conditions 17. Intrusion Detection System Using Random Forest for Real-Time Network Security 18. Machine Learning in Cybersecurity: A Predictive Model for Threat Detection 19. Advanced Personal Security Application for Women Using AI, Blockchain, and Real-Time Monitoring 20. Precision Aflatoxin Detection in Rice A Systematic Review of Optical Sensing and a Farmer-Centric UV-HSI Solution for Smallholder Agriculture 21. Enhancing Cardiovascular Disease Prediction using Optimized Machine Learning Technique 22. Task Management Application with AI-powered Task Prioritization Deployed on Multi-Cloud Platform 23. Fine-Tuned BERT-Based Sentiment Analysis Model for Twitter Data and It’s Deployment on AWS Fargate 24. Quantum-Enhanced Cloud Paradigms: Emerging Architectures and Integration Challenges 25. Harnessing Hybrid Intelligence A CNN-SVM Approach for Precise Neem Leaf Disease Classification 26. Application of DCT Domain Based Image Improvement for Vision Impaired People 27. Multivariate Statistical Exploration of Post-Pandemic Behavior in Bareilly: An Integrated PCA 28. AI Therapist: A RAG-Enhanced Mental Health Platform Integrating Google Gemini for Personalised Support 29. Explainable Multimodal Deep Learning for Breast Cancer Diagnosis 30. Integrated Vision and Sensor Data Framework for Fire Severity Forecasting 31. A Hybrid Evaluation Framework for Machine Learning and Deep Learning Models in Semantic Sentiment Analysis of Twitter Data Stream 32. Global supply chain disruption analysis using trade and logistics big data 33. A hybrid KNN and Tri-Ensemble approach for Predicting HMPV Infection 34. Analyzing Data Concealment Techniques in NTFS File System Using Computer File Forensics 35. Multi-modal Imaging Integration Through Deep Learning 36. Enriching Lives: Utilizing ML Algorithms for Prediction of Cardiovascular Disease 37. Dimensionality Reduction and XAI Approaches for Analyzing Multivariate Socioeconomic Shifts During COVID-19 38. A Comprehensive Review of Brain Tumor Detection Techniques Using Generative Models 39. Brain Tumor Detection Using Generative AI 40. Forest-based Anomaly Detection and Isolation for Cyber Security Applications 41. HEDGE: A Sustainable Framework for Energy Efficient Optimized Proof of Work in Blockchain Systems 42. Secure IoT Environments with Hybrid Deep CNN and BiLSTM-Based Intrusion Detection 43. Edge-Enhanced Communication Protocols for Real-Time Data Processing in UAV Systems 44. Environmental Impacts of Cyber Threats: An Emerging Dimension of Digital Security 45. A Holistic Approach to Yamuna River Rejuvenation through Green Technology and Community Participation 46. A Shift-Left Performance Engineering Approach Using LoadRunner Dev Web Protocol in Agile Development Pipelines 47. Literature Survey on Techniques and Challenges to Diagnose the Gastrointestinal Tract 48. Machine Learning aspects to measure and predict UHI using Urban Morphology features 49. Enhanced Oral Cancer Detection Using CNN Optimized by Hybrid Grey Wolf-Particle Swarm Algorithm 50. Analyzing the Effects of Model Architecture on Feature Importance Using Explainable AI Techniques 51. Unboxing the Black Box: A Survey on Explainable Artificial Intelligence Approaches in ML 52. Comparative Evaluation of Transformer-Based Models for Sentiment Analysis of E-Commerce Reviews Using PyTorch 53. A Comparative Analysis of Fundamental Edge Detection Techniques for Medical Images 54. Continual Learning in Neural Networks: Addressing Catastrophic Forgetting through Scalable and Robust Methods 55. A Comprehensive Review of Synthetic Data Generation: Models, Metrics, and Industry Use Cases 56. Leveraging Machine Learning Techniques for Enhanced Skin Cancer Detection 57. An approach to reduce carbon footprint on environment-A Comparative Analysis 58. DeepFake Detection using Deep Learning Techniques 59. Neural Architecture Search: Automating Deep Learning Model Optimization for Enhanced Performance and Scalability 60. Comprehensive Review of Machine Learning and Deep Learning Frameworks for Robust Classification of Multiclass Leaf Diseases under Variable Conditions 61. A Study of Machine Learning and Deep Learning Models for PCOS Diagnosis 62. Mitigating AI Bias and Advancing Fairness: A Systematic Survey of Techniques, Tools, and Ethical Implications in Machine Learning 63. Reducing Carbon Footprint in AI Workloads Using Serverless Cloud Architectures 64. Reinforcement Learning with Deep Q-Networks for Predictive Trading in the NSE Market 65. Investigation of Cloud Computing-Based Capacity Building for Successful IoT Application Implementations 66. Intelligent Rollback Mechanisms for Kubernetes Deployments Using Reinforcement Learning 67. Plant Leaf Classification Using Machine Learning and Deep Learning: A Review of CNN- Based Approaches 68. Machine Learning Approaches for the Detection and Classification of Plant Leaf Diseases 69. From Simulated to Real: Integrating Deep Learning for Efficient Medical Image Analysis Solutions 70. Empowering SOCs: A Conceptual Analysis of Agentic AI’s Transformative Potential in Cybersecurity Operations 71. Deep Reinforcement Learning to Improve Interactive Virtual Reality Training Environments: An Inclusive Strategy for Personalized Learning, Skill Development and Mental Health 72. AI-Powered Urban Planning: Predictive Analytics for Sustainable Development 73. Trust Calibration in AI Systems: Bridging the Gap Between Automation and Intuition 74. Modern Road Management Framework: Development Approaches 75. Distributed Intelligence in 6G: The Role of Federated Learning and Edge Computing 76. Hybrid Stacking Ensemble for Multi-Class Diagnosis of Pancreatic Conditions Using Clinical Features 77. Self-Organizing Particle Swarm Optimization for Multi-Objective Resource Allocation in Massive MIMO-Enabled 5G Wireless Communication Networks 78. Diagnosis and Tau Burden Prediction in Alzheimer's Disease via Non-Invasive Biomarkers and Gradient Boosting Models 79. Vocal Biomarkers in Medicine: A New Era for Chronic Disease Diagnosis 80. Reading Between the Vessels: A Clear AI Method for Finding Both Diabetic Retinopathy and Cardiovascular Risk 81. Hybrid ML Forecasting Model for Fertilizer and Crop Yield
Notă biografică
Sukhpreet Kaur is a Professor at the Computer Science and Engineering, Chandigarh Engineering College - CGC Landran, Mohali. She has 18 years of experience in teaching and research. She earned her Ph. D in CSE from I K Gujral Punjab Technical University, Jalandhar and her master’s in technology in CSE from GNDEC, Ludhiana. Her research interests include Image Processing, Artificial Intelligence and Computer Vision. She has published more than 60 research papers in reputable Scopus-indexed international journals. She has also actively contributed to the academic community by organizing and conducting several international conferences, fostering collaborations and knowledge exchange in emerging areas of computer science.
Amanpreet Kaur is a Professor at the Department of Information Technology, Chandigarh Engineering College - CGC Landran, Mohali. She earned her Ph.D. in Computer Science & Engineering from I.K. Gujral Punjab Technical University, Punjab, in 2020. She holds an M. Tech. in Information Technology with distinction from Guru Nanak Dev University, Amritsar, and B.Tech. in Computer Science & Engineering with honours and distinction. She has over 21 years of teaching experience at undergraduate and postgraduate levels. Dr. Kaur has been supervising many M. Tech. dissertations and Ph.D. research scholars. Her research contributions span multiple areas of computer science, with 40+ research publications in reputed international journals and 20+ papers presented at international conferences. She continues to contribute actively to academia through her teaching, mentorship, and research activities.
Manish Kumar is a Professor at the Department of Computer Science and Engineering, Chandigarh Engineering College - CGC, Landran, Mohali. His academic career spans 20 years, with experience in teaching, research, and academic and administrative outreach activities. He completed his B.Tech., M. Tech. and Ph.D. degree in Computer Science and Engineering. His research specialization domains include wireless sensor network, data mining and machine learning. He has over 50 publications to his credit in widely circulated journals of national and international repute. He has also played a key role in the academic community by organizing several national and international conferences, fostering collaborations and advancing research in emerging domains of computer science.
Amanpreet Kaur is a Professor at the Department of Information Technology, Chandigarh Engineering College - CGC Landran, Mohali. She earned her Ph.D. in Computer Science & Engineering from I.K. Gujral Punjab Technical University, Punjab, in 2020. She holds an M. Tech. in Information Technology with distinction from Guru Nanak Dev University, Amritsar, and B.Tech. in Computer Science & Engineering with honours and distinction. She has over 21 years of teaching experience at undergraduate and postgraduate levels. Dr. Kaur has been supervising many M. Tech. dissertations and Ph.D. research scholars. Her research contributions span multiple areas of computer science, with 40+ research publications in reputed international journals and 20+ papers presented at international conferences. She continues to contribute actively to academia through her teaching, mentorship, and research activities.
Manish Kumar is a Professor at the Department of Computer Science and Engineering, Chandigarh Engineering College - CGC, Landran, Mohali. His academic career spans 20 years, with experience in teaching, research, and academic and administrative outreach activities. He completed his B.Tech., M. Tech. and Ph.D. degree in Computer Science and Engineering. His research specialization domains include wireless sensor network, data mining and machine learning. He has over 50 publications to his credit in widely circulated journals of national and international repute. He has also played a key role in the academic community by organizing several national and international conferences, fostering collaborations and advancing research in emerging domains of computer science.
Descriere
This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, and Artificial Intelligence.