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    1. Data och IT
    2. Informationsteknik: allmänt

    Technology for a Resilient Future

    AvShweta Vincent,Ramya S. Moorthy

    Inbunden, Engelska, 2026

    Del i serien Taylor and Francis Proceedings in Computer Science and Engineering

    2 119 kr

    Slutsåld

    Beskrivning

    The book addresses the exploration of cutting-edge technological advancements.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.

    Produktinformation

    • Utgivningsdatum:2026-09-30
    • Mått:210 x 280 x undefined mm
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Taylor and Francis Proceedings in Computer Science and Engineering
    • Antal sidor:280
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781041390701

    Utforska kategorier

    • Informationsteknik: allmänt inom Data och IT
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    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.

    Innehållsförteckning

    • 1. Virtual Reality-Based Biofeedback System: A 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 the Gap Between Clients and Experts. 15. Identification and Classification of Pneumonia Medical Condition Using U-Net Algorithm. 16. Vehicle Speed Tracking System Using YOLO v8 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 Multiple Ensemble Algorithms. 23. Development of IoT Based Electro Pneumatic System. 24. Automated Text Classification with Relevance to Bloom'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 Spectral 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 64 Bit 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 Machine Learning and Deep Learning Approaches. 41. Decadal Transition of Arecanut Plantations in Belthangady Taluk: A Remote Sensing Approach with NDVI and Texture Features. 42. Disease Classification in Bell Pepper Leaf Images Using Deep Learning Methods. 43. Bike Swing Arm Topology Optimization for Reducing Weight of Electric Motorcycle. 44. Modeling and Optimization of Full-Vehicle Suspension Dynamics Using Hybrid Multibody Lumped Systems and Machine Learning Models. 45. Design of 8-Bit ALU Using Low Power Verilog Coding Techniques. 46. Comparative Study of Reinforcement Learning Algorithms for Vision-Based Autonomous Drone Landing Using ArUco Marker. 47. Hardware Deployable Solution for Real-Time Condition Monitoring Using TinyML on Embedded Edge AI Devices. 48. Coconut Classification Using Acoustic Features. 49. E-Voting Reinvented: Ensuring Trust and Integrity with Blockchain. 50. Image Colorization Using Generative Adversarial Networks with Feature-Aware Normalization. 51. Quantitative Stress Detection Via Facial Parameter Analysis and Emotion Recognition. 52. Safe-Post AI: A Privacy-Preserving Framework for On-Device PII Detection in Social Media Images. 53. YOLOv8-Based Road Damage Detection on the RDD2022 Dataset Using Hybrid Data Augmentation. 54. Satellite-Informed Prioritization of Industrial Heat Hotspot Parcels. 55. Comprehensive Literature Review on Semantic Segmentation Models for Tree Species Mapping. 56. Vrishabha: Edge-AI Enabled Real-Time Visual Perception System for Extreme Rocket Flight Environments. 57. Multi-Class Eye Disease Detection and Classification Using VGG19. 58. A Cost-Effective Autonomous Drone Delivery System with Ultrasonic-Based Real-Time Obstacle Avoidance. 59. Hybrid CNN-SVM Framework for Robust Detection of Deepfake and Disguised Faces. 60. Classification of Retinal Diseases Based on Optical Coherence Tomography Images Using Transfer Learning. 61. Implementation and Simulation of MIT Manipal Campus Map in CARLA Autonomous Driving Simulator. 62. Generative Modeling of LISS-IV Satellite Imagery with Latent Diffusion. 63. Ground Water Extraction in Mexico City: The Mapping of Anthropic Created Depressions Via Satellite Imagery. 64. Effect of Subsidence on a Transport Elevated Line: Anticipating Critical Conditions Using Satellite Imagery