Technology for a Resilient Future: Taylor and Francis Proceedings in Computer Science and Engineering
Editat de Shweta Vincent, Ramya S. Moorthy, Kiran Dasarien Limba Engleză Paperback – 25 aug 2026
This collection encompasses a comprehensive range of peer-reviewed research across nine strategic tracks, including Robotics and Intelligent Systems, Industrial Automation, IoT, and Cyber-Security. Significant focus is placed on the transformative role of Artificial Intelligence and Machine Learning in specialized domains such as Natural Disaster Management, Space Technology, and Medical Device Research. The findings illustrated within these chapters delve into automated digital manufacturing systems, advanced machine vision, and the integration of smart sensors. By highlighting innovations that foster industrial resilience, the book documents how modern control systems and AI-driven methodologies are being deployed to optimize resource management and solve complex real-world problems.
This book is intended for researchers, academic faculty, and postgraduate students specializing in mechatronics, AI, and systems engineering. It is also an essential resource for industry professionals and technical consultants seeking the latest developments in automation, IoT security, and the application of machine learning in high-stakes fields like medicine and disaster recovery.
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Specificații
ISBN-13: 9781041393450
ISBN-10: 1041393458
Pagini: 354
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Taylor and Francis Proceedings in Computer Science and Engineering
ISBN-10: 1041393458
Pagini: 354
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Taylor and Francis Proceedings in Computer Science and Engineering
Public țintă
Academic and GeneralCuprins
1. Virtual reality-based Biofeedback system: A Scoping Review 2. Image-Based Approaches to Lung Infection Classification: Current Trends and Future Perspectives 3. SmartPlaylist: Leveraging Machine Learning for Intelligent Music Recommendations and Dynamic Playlist Curation 4. RIVER WATER QUALITY ANALYSIS AND OBJECT DETECTION 5. Performance Evaluation of Inter-AS MPLS Layer 3 VPN System Using GNS3 Simulation 6. Revolutionizing Blood Donation: A Smart System for Transparent, Efficient, and Secure Management 7. Design and Development of a Brushless DC Motor Controlled Centrifugal Microfluidic Pump for Biomedical Applications 8. Design And Development of a Syringe Pump Using Brushless Direct Current Motor Control 9. Synergistic Implementation of Metaheuristic Paradigms for Optimization in Intelligent Travel Planning 10. Comparative Material and Ergonomic Evaluation of Standard 3D-Printed Hand Casts and Conventional Orthopedic Casts 11. Enhancing Explainable AI with Diverse Counterfactual Explanations (DiCE) for Transparent Stroke Risk Assessment 12. Polycystic Ovarian Disease (PCOD) Prediction Using Predictive Modeling 13. AI-powered Interactive Lingobot for Self Learning and Interview Preparation 14. STARTUP ASSIST:- BRIDGING GAP BETWEEN CLIENTS AND EXPERTS 15. Identification and Classification of Pneumonia medical condition using U-Net algorithm 16. Vehicle Speed Tracking System Using YOLOv8 with Deep Learning 17. ReSponD-ML: An Adaptive Machine Learning Framework for Reconnaissance and Spoofing Attack Detection in IoT Networks 18. LLM-Powered Secure Retrieval and Encryption for Multimodal Medical Data 19. River Cleaning Robot Controlled by Android Application 20. Beyond the Cloud: Impact of AI Driven Protocol for privacy rights using statistical legislative data analysis Framework 21. Developing U-Net Segmentation Based Crop Detection and Leaf Disease Detection 22. An Enhanced Thyroid Prediction and Detection system using ensemble algorithms 23. Development of IoT based electro pneumatic system 24. Automated Text Classification with relevance to Blooms’s Taxonomy Levels: A Systematic Review 25. Triggers to the Diffusion of Robotics in MSMEs: A Technological Innovation Investigation 26. Autonomous Navigation Without Odometry: A ROS-Based Encoderless AGV Using Hector SLAM 27. Power-Area exploration of Multiplier architectures for CNN MAC units on FPGA 28. SECURE MEDICAL RECORD STORAGE AND DISTRIBUTION USING BLOCKCHAIN 29. Speedy Care: Live Video Assisted Ambulance with Emergency Medical Support 30. A REVIEW ON WEARABLE ANTENNA DESIGN FOR GPS TRACKING APPLICATIONS 31. Ensuring privacy in a multi cloud environment using spectacle clustering algorithm 32. Evaluation of Analog-to-Digital Converters for Low Energy Application Using FinFet 33. Deep Learning-Driven Feature Extraction for Environmental Water Quality Assessment 34. Implementation And Comparative Analysis of 64bit Vedic And Booth Multipliers For a MAC Unit 35. 3D Terrain Mapping and Autonomous Navigation for Planetary Rovers: an RGB-D Sensor-Based Framework 36. Enhancing Cervical Cancer Diagnosis with Multimodal Fusion and Uncertainty-Aware Deep Learning 37. A Rapidly Converging One-Step Iterative Scheme for Contraction Maps in Banach Spaces 38. Modular Design and Implementation of a Reconfigurable Higher Order FIR Filter 39. Design and Development of a System for Computed Axial Lithography Application 40. CT-Based Lung Cancer Detection Using Hybrid ML and DL Approaches 41. Decadal Transition of Arecanut Plantations: A Remote Sensing Approach 42. Disease classification in Bell Pepper Leaf Images using Deep Learning 43. Bike Swing Arm Topology Optimization for Reducing Weight of Electric Motorcycle 44. Modeling and Optimization of Full-Vehicle Suspension Dynamics 45. Design of 8-bit ALU using Low Power Verilog Coding Techniques 46. Comparative Study of RL Algorithms for Autonomous Drone Landing 47. Hardware Deployable Solution for Real-Time Condition Monitoring using TinyML 48. Coconut Classification using Acoustic Features 49. E-Voting Reinvented: Ensuring Trust and Integrity with Blockchain 50. Image Colorization Using GANs with Feature-Aware Normalization 51. Quantitative Stress Detection via Facial Parameter Analysis 52. SafePost AI: A Privacy-Preserving Framework for On-Device PII Detection 53. YOLOv8-Based Road Damage Detection on the RDD2022 Datasets 54. Satellite-Informed Prioritization of Industrial Heat Hotspot Parcels 55. A Comprehensive Literature Review of Semantic Segmentation for Tree Species Mapping 56. VRISHABHA: EDGE-AI ENABLED VISUAL PERCEPTION FOR ROCKET FLIGHT 57. Multi-Class Eye Disease Detection and Classification using VGG19 58. A Cost-Effective Autonomous Drone Delivery System with Obstacle Avoidance 59. Hybrid CNN-SVM Framework for Robust Detection of Deepfake and Disguised Faces 60. Retinal Disease Classification based on OCT images using Transfer Learning 61. Implementation and Simulation of MIT Manipal Campus Map in CARLA 62. Generative Modeling of LISS-IV Satellite Imagery with Latent Diffusion 63. Ground water extraction in Mexico City: mapping via satellite imagery 64. Effect of subsidence on a transport elevated line: using satellite imagery
Notă biografică
Shweta Vincent is an Associate Professor in the Department of Mechatronics at Manipal Institute of Technology with over 18 years of experience. Her research integrates Artificial Intelligence (AI) and Machine Learning (ML) into Industrial IoT and sustainable manufacturing to optimize industrial operations. She is a member of the ITU-T Focus Group on AI for Natural Disaster Management (FG-AI4NDM), where she collaborates on developing AI-based early warning systems and hazard mapping. Her work focuses on applying technological innovations to address global environmental and industrial challenges.
Ramya S. Moorthy is an Assistant Professor at MIT Manipal and the Founder Director of Nimaya Innovations Pvt. Ltd. A University Gold Medalist in M.Tech Robotics and an INSPIRE Fellow, she pioneered "Suprayoga," an IoT-based training system that accelerates psychomotor and cognitive learning for children with Autism Spectrum Disorder (ASD). Recognized with the "Women Transforming India Award 2021" by NITI Aayog and the "Devi Award 2023," her work focuses on leveraging robotics to foster independent living for children with special needs. Her research is widely published in international scientific journals.
Kiran Dasari holds a Ph.D. in Electronics and Communication Engineering from NIT Warangal. Currently a faculty member at MIT Manipal, he serves as a Co-Principal Investigator for an ISRO-sponsored Chandrayaan-2 project. With 12 years of research and teaching experience, his expertise spans Microwave Imaging, Remote Sensing, SAR Polarimetry, and Robotics. Dr. Dasari is an IEEE Geoscience and Remote Sensing Society member and a reviewer for high-impact journals. He has received multiple best paper awards for his contributions to remote sensing and embedded systems.
Ramya S. Moorthy is an Assistant Professor at MIT Manipal and the Founder Director of Nimaya Innovations Pvt. Ltd. A University Gold Medalist in M.Tech Robotics and an INSPIRE Fellow, she pioneered "Suprayoga," an IoT-based training system that accelerates psychomotor and cognitive learning for children with Autism Spectrum Disorder (ASD). Recognized with the "Women Transforming India Award 2021" by NITI Aayog and the "Devi Award 2023," her work focuses on leveraging robotics to foster independent living for children with special needs. Her research is widely published in international scientific journals.
Kiran Dasari holds a Ph.D. in Electronics and Communication Engineering from NIT Warangal. Currently a faculty member at MIT Manipal, he serves as a Co-Principal Investigator for an ISRO-sponsored Chandrayaan-2 project. With 12 years of research and teaching experience, his expertise spans Microwave Imaging, Remote Sensing, SAR Polarimetry, and Robotics. Dr. Dasari is an IEEE Geoscience and Remote Sensing Society member and a reviewer for high-impact journals. He has received multiple best paper awards for his contributions to remote sensing and embedded systems.
Descriere
The book addresses the exploration of cutting-edge technological advancements.