
Sustainable Materials and Technologies in VLSI and Information Processing
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Sustainable Materials and Technologies in VLSI and Information Processing
About this book
The International Conference on Sustainable Materials and Technologies in VLSI and Information Processing aimed to converge advancements in semiconductor technology with sustainable practices, addressing the critical need for eco-consciousness in the field of Very Large Scale Integration (VLSI) and Information Processing. The primary purpose of the conference was to explore innovative materials, manufacturing processes, and design methodologies that minimize environmental impact while optimizing performance and functionality in electronic devices. Key features of the conference included interdisciplinary discussions on sustainable materials such as biodegradable polymers, low-power semiconductor materials, and recyclable electronic components. Additionally, it focused on emerging technologies like quantum computing, neuromorphic computing, and photonic integrated circuits, exploring their potential contributions to sustainability in VLSI and information processing. The intended audience comprised of researchers, scientists, engineers, and industry professionals from academia, government, and private sectors involved in semiconductor technology, materials science, environmental sustainability, and information processing.
What set this conference apart was its unique emphasis on sustainability within the realm of VLSI and information processing. While there are conferences focusing on either semiconductor technology or sustainability separately, this conference bridged the gap between the two, fostering discussions and collaborations that pave the way for greener and more efficient electronic devices and systems.
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Information
Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- Contents
- List of Figures
- List of Tables
- About the Editors
- 1. Implementation of a Deep Learning Model to Evaluate and Comment on Skin Tone Characteristics on Alzheimer's Perspective
- 2. A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Identifying Canine Distemper Virus-Affected Dogs
- 3. Artificial Intelligence and Machine Learning to Improve the Performance Cloud Computing of Network Analysis
- 4. Food Spoilage Monitoring System Using IoT
- 5. DC Characterization and Comparative Analysis of GaN Substrate MOSFET
- 6. Low Power 14T SRAM Using FinFETs for Enhanced Efficiency
- 7. Building a Secure IoT Firewall Framework Leveraging Intrusion Detection Technologies
- 8. Exploring IoT Intrusions: Advanced Techniques for Detection, Prevention, and Response
- 9. Machine Learning Approaches for Long-Term Electricity Demand Prediction Considering Socio-Economic Uncertainty
- 10. A Compact Wearable Slots and Slit-Based Patch Antenna for Biomedical Application
- 11. Design and Analysis of Germanium (Ge) and Gallium Nitride (GaN) Material-Based Vertical Nanowire Tunnel FET
- 12. Vision-Assist: A Portable Reading Device for the Visually Impaired Using Raspberry Pi
- 13. Analysis of Advanced FET based Biosensor for Label Free Detection
- 14. Intelligent Beamforming by Deep Reinforcement Learning for mmWave Massive MIMO by Implementing NOMA for Futuristic Communication
- 15. Revolutionizing Medical Data Generation: Evaluating the Performance of Generative AI Models in Producing Realistic and Diverse Clinical Data
- 16. Forecasting Solar Power Generation for Energy Management Using Machine Learning Technique
- 17. Design of Multi-Band Microstrip Antenna for WLAN and WiMAX Applications
- 18. Enhancing Brain Tumor Classification: A Deep Learning Approach with Convolutional Neural Networks
- 19. Invisible Building Cracks Detection in Complex Civil Structures using Infrared Thermography-based Computing Technologies
- 20. Early Diagnosis of Chronic Kidney Techniques Disease Through Machine Learning
- 21. Integrated Solar Tracking and Power Boosting System
- 22. Integrative Approaches to Gait Analysis: Enhancing Diagnosis and Treatment of Pathological Conditions
- 23. Platform for Resource Integration, Student Management, and Education (PRISM)
- 24. Biometric-Driven Energy Savings in Computer Lab
- 25. Innovative Design of a Portable Charging Socket with Integrated Timer for Enchanced Efficiency
- 26. Efficient Brain Tumor Detection from MRI Images Using ResNet50: A Deep Convolutional Neural Network Approach
- 27. Water Quality Monitoring and Alerting System
- 28. Smart Attendance System using RFID and Facial Recognition for Enhanced Accuracy
- 29. Transcript Based Video Summarizer Using Extractive Summarization
- 30. Hybrid and Ensemble Learning Approach for Improved Diabetes Prediction
- 31. AI: The Backbone of Soft Robotics
- 32. Artificial Intelligence—Based Early Diagnosis of Diabetic Retinopathy Through Retinal Imaging
- 33. Climate Responsive Smart Irrigation and Air Quality Monitoring System
- 34. Dust Detection on the Solar Panels by using Image Processing Techniques: Cleaning with IOT
- 35. Robust Detection of Deepfake Images in Blockchain Systems Using Differential Privacy and Secure Multi-Party Computation
- 36. Robotic Motion Planning: A Comprehensive Comparison of Firefly and Q-learning Algorithms
- 37. Surveillance Bot for Monitoring and Rescue Operations
- 38. Low Cost Measurable Tin Packaging Device for Oil
- 39. Adaptive Contextual Emotion-Infused Transfer Learning Network for Respiratory Surveillance
- 40. Review on Eye to Heart: The Systemetic Impact of Diabetes in Retinopathy and Cardiovascular Disease
- 41. Portable Memory Space Monitor for Pendrive
- 42. Smart Robotics: An Integrated Approach to Obstacle Avoidance and Lane Following
- 43. Real Time Face Recognition System for Attendance Monitoring using Raspberry Pi4
- 44. A Field Plate Engineering Approach for Optimizing DC and Breakdown Performances of an AlGaN/GaN/AlGaN MOS-HEMT
- 45. Holistic Water Management System
- 46. A Robust Heart Disease Prediction System Using Hybrid Deep Neural Networks
- 47. Enhancing Hands-Free Human-Computer Interaction through Eye Tracking and Speech-Based Control
- 48. Design and Analysis of Low Power Counter Using Clock Gating Technique
- 49. Helmet Detection Using Gen-AI Techniques
- 50. Enhancing Face Recognition Accuracy using CNN Frameworks
- 51. Innovative Approaches in Low-Profile Multiband Antenna Design for WBAN Systems
- 52. Convolutional Neural Network based Crack Detection and Classification in Concrete Beams
- 53. Comparative Analysis of Multinomial Naïve Bayes with Categorical Naïve Bayes for Guitar Chord Classification
- 54. Design of a Power-Efficient Wallace Tree Adder Architecture for Hardware Accelerators
- 55. Hi-Tech Drug Dispensing Unit with Solar Tracking System
- 56. Design and VLSI Implementation of Power-Efficient Multiplier Architecture
- 57. Current Guardian: Real-Time Detection of Electricity Theft
- 58. Innovative IoT Child Security: Intelligent Monitoring for Modern Families
- 59. Gesture Real-Time Video Recognition with Integrated TextTo-Speech Synthesis for Inclusive Communication Environments
- 60. Wearable Textile Antenna
- 61. Enhanced Gain and Bandwidth by using Hybrid Dielectric Resonator Antenna
- 62. “Design and Implementation of a Wireless Solar-Powered Soil Moisture Monitoring and Irrigation Control System with Water Level Detection Using NRF24L01 and GSM Technologies”
- 63. Design and Analysis of Polynomial Control Approach Based Proportional Integral Controller for Multivariable Processes
- 64. Super-resolution of Retinal Fundus Images using a Modified Auto-encoder Architecture with Skip Connections
- 65. Advancing Early Alzheimer's Detection Through AI Technology
- 66. Smart Relay Timer System with Real-Time Clock LCD Display Control
- 67. Infrared Communication Solutions for Smart Hospital Infrastructure: Enhancing Patient Monitoring through Innovative Technologies
- 68. Hybrid AI Techniques for Smart Antenna Beam Steering in IoT Applications
- 69. Latest Trends in Drug Research of Diabetes Using AI ML: An Exploration
- 70. Bio Tongue: A Tongue ID based Biometric Authentication System
- 71. Designing Neural Networks with CMOS VLSI Technology
- 72. Innovative Strategy PMDC Motors and DC-to-DC Converters in Cutting-edge Solar PV Systems
- 73. A Deep Learning Approach to Energy Demand Prediction using LSTM for Tamil Nadu
- 74. Improving Disease Diagnosis with Deep Learning Models for Medical Imaging
- 75. Assistive Cane Featuring Vibration-based Obstacle Detection for Visually Challenge
- 76. FPGA-Based Reconfigurable Hardware Implementation for Data Classifiers: A Focus on Diabetes Dataset
- 77. Fusion-Assist: Integrated Multi-Functional Application for Handicaps with AI
- 78. Redundant Model Predictive Control for Process Industries
- 79. Optimizing Clock Tree Synthesis for Low-Power, Glitch-Free Digital Circuits Using Single and Multi Clock Tree Techniques
- 80. AI based Autonomous UAV Path Planning for Real-Time Ambulance Support