Description
Book SynopsisThis book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.
Table of ContentsAnalysis of Prevalence of Flat Foot in Primary School Children.- The development of advanced deep learning-based EoR Signal separation techniques.- An Integrated Deep Learning Deepfakes Detection Method (IDL-DDM).- Melanoma Detection Using Convolutional Neural Networks.- Reinforcement Learning Based Spectrum Sensing And Resource Allocation In WSN-IoT Smart Applications.- Planning and Construction of a Quantum Model of the SHA-1 Algorithm Using IBM’s Qiskit.- Machine Learning Based Path-loss Estimation Model for a 2.4 GHz ZigBee Network.- Heart Device for expectation of coronary illness utilizing Internet of Things.- An Extensive Study of Frequent Mining Algorithms for Colossal Patterns.- A Review Paper On Progressive Approach To Reduce Context Switching in Round Robin Scheduling Algorithm.- Transformer model for human activity recognition using IoT wearables.- Design and Development of a Chatbot for Personalized Learning in Higher Education.- Performance Evaluation of Concentric Hexagonal Array for Smart antenna applications.- Vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing.- Performance evaluation of neural networks based virtual machine placement algorithm for server consolidation in cloud data centers.- Artificial Neural Network Based Fault Classification and Location Identification in Over Head Transmission Lines.- E-learning paradigm in Cloud computing and pertinent challenges in models used for cloud deployment.- Parkinson’s Disease Detection: Comparative Study Using Different Machine Learning Algorithms.- Implementation of Blockchain in Automotive Industry to Secure Connected Vehicle Data: Study and Analysis.- A Study of Comparison Between YOLOv5 and YOLOv7 for Detection of Cracks in Concrete Structures.- Machine Learning-Based Identification as well as Classification of Functional and Non-functional Requirements.- Expiry Date Detection on Product Packages with the Help of a Generalized Framework Using Fully Convolutional Networks.- Fake News Detection in Dravidian Languages using Transformer Models.- A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection.- Fusion of LBP and Median LBP for Dominant Region based Multimodal Recognition using Imperfect Face and Gait Cues.
