Cognitive Computing and Cyber Physical Systems 5th EAI International Conference, IC4S 2024, Bhimavaram, India, April 5–7, 2024, Proceedings, Part II

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.

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.