Full Description
This book constitutes the refereed proceedings of the 5th EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024, held in Bhimavaram, India, during April 5-7, 2024.
The 102 full papers presented were carefully reviewed and selected from 266 submissions. The proceedings focus on Cyber-physical systems, cognitive computing, Internet of Things, Smart grid, Security and trust management of CPS, Industrial IoT, Autonomous systems, Intelligent Transportation, Human-Machine Interaction, Distributed robotics, Sensor-based communication.
Contents
Cyber Physical Systems and Blockchain.- Securing the Resource sharing in Meta Universities through Blockchain Technology.- Cyber Physical Systems Design Standards, Applications, Limitations, Challenges, and Future Perspectives.- A Secured Data Sharing Using Proxy Re Encryption And Blockchain In Cloud Storage.- Artificial Intelligence Cyber Physical System Platform for Industry 4.0.- Detecting Crypto Ransomware in Encrypted File Sharing Networks.- A Secure and Efficient Cloud Storage System Using Advanced Encryption Standard Algorithm for Data Protection.- Speech Bandwidth Extension using Spectral Data Masking.- Crime Detection with Variational Auto encoders.- Cross Layered Neighbor Route Discovery Protocol in Cognitive Radio Networks.- Quantum Technology Fueling the Next Generation Optical Communication Challenges and Pathways.- Comprehensive Analysis of Underwater Acoustic Propagation in Shallow and Deep Water.- Exploring Underwater Acoustic Propagation Based on Deep Sound Channel.- FPGA Based Peak Cancellation for Efficient Communication Transmitters.- FPGA Implementation of Fast Fourier Transform using hybrid pipelining technique.- Low Power Adder Circuit Design and Implementation using Lector Technique.- FPGA Implementation of Optimized Floating Point Multiplier using Minimal Error Logarithmic Approach.- Medical Diagnostic through Deep Learning and Assistive Technology.- Review of Various Machine Learning Approaches for Parkinsons Disease Detection.- Improving Pneumonia Diagnosis via Deep Learning A Comprehensive Approach Incorporating CNN Classification.- Advancing Ocular Health Deep Learning Technologies in Eye Disease Classification.- An Empirical Comparison of Machine and Deep Learning Algorithms for Predicting Maternal Health Risk.- An AI Powered Diagnostic Model for the Identification and Categorization of Lung and Liver Cancer.- Detection of Autism Spectrum Disorder Using Optimized Extreme Learning Machine Technique.- AI based Bone Cancer Detection using Image Preprocessing and CNN.- Liver Tumour Detection in Computed Tomography Images through Image Processing and Deep Learning.- AI Enhanced Arduino Based Customized Smart Glasses for Blind People and Integrated, Speech Synthesis.- A Breathable 1.1 oz Ripstop Nylon (BRN) Based Wearable Dry ECG sensors A Pilot Study.- Assistive New Gen Smart Blind Stick Using React.- Auto encoders with Cellular Automata for Anomaly Detection.
