Smart Systems and Beyond: Redefining Computing and Robotics through AI: Taylor and Francis Proceedings in Computer Science and Engineering
Editat de Vinay Bhatia, Sukhdeep Kaur, Ashima Kalra, Bhawna Tandonen Limba Engleză Hardback – 29 sep 2026
This volume brings together multidisciplinary research focusing on artificial intelligence, computational intelligence, smart communication systems, embedded and VLSI technologies, robotics, automation, cybersecurity, cloud computing, data analytics, IoT-enabled platforms, and intelligent decision-making systems. The book explores innovative methodologies, mathematical models, and practical applications that support next-generation technological ecosystems. Contributions include theoretical advancements, simulation-based studies, experimental implementations, and industrial applications in smart environments and AI-integrated systems. The book also discusses recent trends in machine learning, predictive analytics, human-robot interaction, autonomous systems, and sustainable computing architectures, offering valuable insights into the rapidly evolving landscape of communication and computational sciences.
The book is intended for researchers, academicians, scientists, industry professionals, postgraduate students, and practitioners working in the domains of artificial intelligence, communication engineering, computer science, robotics, embedded systems, electronics, and data analytics. It serves as a valuable reference for both academic research and industrial innovation.
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Specificații
ISBN-13: 9781041366171
ISBN-10: 1041366175
Pagini: 472
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: CRC Press
Colecția Routledge
Seria Taylor and Francis Proceedings in Computer Science and Engineering
ISBN-10: 1041366175
Pagini: 472
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: CRC Press
Colecția Routledge
Seria Taylor and Francis Proceedings in Computer Science and Engineering
Public țintă
Academic and GeneralCuprins
Session 1: Mathematical and Computational Algorithmic Applications for Smart Systems Engineering 1. Experimental And Statistical Evaluation of Fine-Grained Soil Stabilisation Using Waste Marble Powder As A Sustainable Binder 2. A Novel Framework for Convergence Ordering and Stability Analysis of Coefficient-Sensitive Iterative Algorithms 3. Deep Transfer Learning Models for Cancer Classification: A Comparative Study 4. Smart Toll Management System Using Arduino and IoT 5. AI-Powered Smart Glasses for Visually Impaired with Indoor & Outdoor Navigation and Object Manipulation Guidance 6. Short-Term Load Forecasting in Hybrid Energy System for Supporting Demand Response Program 7. Smart Indoor Navigation System for the Visually Impaired Using SLAM and LiDAR Technologies 8. Design and Implementation of a Linear Array using Triangular Multilayer Planar Patch Antenna for IFF 9. Transfer Learning And Ensemble Models for Improved DR Detection Accuracy 10. An Overview of Robotics: From Classification to Advanced Control Approaches 11. Optimization in Energy Harvesting Wireless Network using Multiobjective Algorithms 12. Strategic Resource Allocation for Enhanced Market Performance 13. Intelligent AI Communication Monitoring and Voice Recording Solution with Automated Processing and Message Delivery for Improved Transparency and Accessibility Session 2: Embedded Systems and VLSI Technologies 14. A Robust Adaptive Control System for Fire Fighting Robots 15. Deep Learning Approaches for Network Intrusion Detection Systems: Architectures, Challenges, and Future Directions 16. A Hybrid Approach to Handwritten Text Recognition Using MobileNet, LSTM, and Transformers 17. Optimization of Integrated MB-OFDM – Fibre Network Performance and Applications to WPAN 18. Managerial Analysis and Effects of Mental Disorder Health Problem – Dementia 19. Transformer-Based Machine Learning for Antenna Parametric Optimization 20. Data-Driven Forecasting of Blood Glucose Levels via ExtraTrees Ensemble Learning 21. Non-Invasive Brain Cancer Detection with Compact UWB Microstrip Antenna having Stair Patch Geometry 22. Ensemble Machine Learning Models for High-Efficiency Antenna Design and Optimization in Next-Generation Wireless Systems 23. Cross Language Plagiarism Detection in Regional Languages: A Comparative Study of CLPD Models and Approaches 24. A Performance Evaluation of Machine Learning Models for Maternal Health and High-Risk Pregnancy Dataset Session 3: Robotics, Control, and Automation in Electronics 25. Design and Implementation of a Simulink Model of Virtual Mouse Using Hand Gestures Control with High Accuracy 26. Modeling Rational Information Dissemination via Blockchain in Neuro-Sensitive Social Network 27. SWeAT: Bridging Reproducibility, Explainability, and Scalability in Software-Based Remote Attestation 28. Localization of Mobile Nodes in Wireless Sensor Networks using RGWO Algorithm 29. Design of Photonic Biosensors for the Detection of Spoiled Fruits and Vegetables 30. Fuzzy Logic-Based Energy Management for Multi-Port DC-DC Converter in Electric Vehicles: Performance Evaluation and Power Flow Analysis 31. Adaptive FP-Algorithms for CFD Models: Convergence, Stability, and Superlinear Efficiency 32. Evaluating the Performance of Multiuser Space-Time Signal Processing Using Hybrid Receiver Selection in Power-Limited Cognitive Radios 33. IRS Assisted Cognitive Radio Networks: Methodologies and Applications 34. ML-Driven Design Optimization of a Circular Patch Antenna for Predictive Non-Invasive Blood Glucose Monitoring 35. Harnessing Machine Learning Classifiers as Fitness Functions in Metaheuristic-Based Feature Selection for Mammographic Breast Cancer Classification Session 4: Information Technology and Intelligent Systems 36. Toward a Theory of AI-Enhanced Accuracy in Climate Change Journalism 37. Efficient Ambient Sound Energy Harvesting Using Real-Time Sound Analysis 38. DL-CD: A Deep Learning Generative Models for Accurate Change Detection in Remote Sensing Data 39. Utilizing Decentralized Blockchain Platforms and Advanced Cryptographic to Mitigate Data Breaches in Healthcare Systems 40. A Comprehensive Review of Urban Growth Detection through the Fusion of Remote Sensing and Machine Learning 41. AI-Assisted Tumor Detection in MRI and CT Scans Using Image Segmentation Techniques 42. A Hybrid Framework for Motor Imagery EEG Decoding 43. Real-Time Disease Screening in Public Areas Using Autonomous Bots 44. From Cloud to Curb: An Edge AI Framework for Energy-Efficient and Responsive Urban Mobility 45. Deep Learning Based Diabetic Retinopathy Detection Using Fundus Images 46. Design of Efficient Precision Analog Comparator for Amperometric Glucose Sensing Session 5: Data Science and Analytics 47. Efficient and Lightweight Framework for Confidential Medical Image Diagnosis Using Edge AI 48. A Novel Low Power Analog Comparator Design for Biomedical Instrumentation 49. AI-Based Insider Threat Detection System in Colleges and Laboratories 50. StrRem-Net: A Blended Deep Learning Model with LSTM for Accurate Rain Streak Removal in Digital Images 51. Ethical Considerations in the Implementation of Artificial Intelligence in Recruitment Processes 52. Development of a Selective Refractive Index-Based SPR Sensor for Acetone Detection in Industrial Wastewater 53. RFID-Based Smart Trolley System for Automated Invoicing and Retail Efficiency 54. Polymer Optical Fiber-Powered Passive Optical LAN for Business Applications 55. REES: A Resource-Efficient and Enhanced-Security Mutual Authentication Scheme for Wireless Sensor Networks 56. A Detailed Investigations on IoT Applications and Challenges 57. Cybernexotics: A Holistic Approach to Fusing APIs and Computational Protocols for AI-Driven Threat Intelligence 58. A Comprehensive Review of Face Detection Algorithms: An In-Depth Analysis of Multitask Cascaded Convolutional Networks (MTCNN)
Notă biografică
Vinay Bhatia is Professor and Head of the Department of Electronics and Communication Engineering at Chandigarh Engineering College (NBA Accredited), CGC Landran (NAAC A+), Punjab, India. He holds a B.Tech, M.Tech, and Ph.D in Electronics and Communication Engineering. Currently, he is working on routing and security issues pertaining to wireless networks.
Sukhdeep Kaur is Professor, Department of Electronics and Communication Engineering at Chandigarh Engineering College, Landran, Mohali, Punjab. She received her B.Tech degree in Electronics and Communication Engineering from Amravati University(M.S), M.Tech degree in Electronics and communication from G.N.E Ludhiana; and Ph.D. degree in Antenna Designing from Thapar University Patiala; in 2001, 2008 and 2016 respectively.
Ashima Kalra is a distinguished academician and researcher currently serving as Associate Professor in the Electronics and Communication Engineering Department at Chandigarh Engineering College (CGC Landran), with more than 22 years of teaching experience at undergraduate and postgraduate levels. She earned her Ph.D. in Electronics and Communication Engineering from Maharishi University, Noida, in 2023. She completed her M.Tech with distinction from Punjab Technical University, Jalandhar, and is a Gold Medalist in B.Tech in Electronics from Kurukshetra University, Kurukshetra.
Bhawna Tandon received a B.Tech degree from Kurukshetra University, Kurukshetra in 2001, M.E degree from Panjab University in 2009, and a Ph.D. degree from Punjab Engineering College (PEC) (Deemed to be University), Chandigarh in 2018. With a total teaching experience of 24 years and a strong academic and research background, she is currently working as Professor and serving as the IQAC Coordinator at Chandigarh Engineering College - CGC Landran, Mohali where she actively contributes to institutional quality enhancement and academic excellence.
Sukhdeep Kaur is Professor, Department of Electronics and Communication Engineering at Chandigarh Engineering College, Landran, Mohali, Punjab. She received her B.Tech degree in Electronics and Communication Engineering from Amravati University(M.S), M.Tech degree in Electronics and communication from G.N.E Ludhiana; and Ph.D. degree in Antenna Designing from Thapar University Patiala; in 2001, 2008 and 2016 respectively.
Ashima Kalra is a distinguished academician and researcher currently serving as Associate Professor in the Electronics and Communication Engineering Department at Chandigarh Engineering College (CGC Landran), with more than 22 years of teaching experience at undergraduate and postgraduate levels. She earned her Ph.D. in Electronics and Communication Engineering from Maharishi University, Noida, in 2023. She completed her M.Tech with distinction from Punjab Technical University, Jalandhar, and is a Gold Medalist in B.Tech in Electronics from Kurukshetra University, Kurukshetra.
Bhawna Tandon received a B.Tech degree from Kurukshetra University, Kurukshetra in 2001, M.E degree from Panjab University in 2009, and a Ph.D. degree from Punjab Engineering College (PEC) (Deemed to be University), Chandigarh in 2018. With a total teaching experience of 24 years and a strong academic and research background, she is currently working as Professor and serving as the IQAC Coordinator at Chandigarh Engineering College - CGC Landran, Mohali where she actively contributes to institutional quality enhancement and academic excellence.
Descriere
The book highlights emerging developments in intelligent computing, communication technologies, robotics, embedded systems, and data-driven innovations that are shaping the future of smart and autonomous systems.