Smart System for Integrated Computing and Communication by Srinivasan, Kanthalakshmi; Jeevarathinam, Baskaran; Rangasamy, Rudramoorthy; Padmanaban, Sanjeevikumar;

Hosszú leírás:

This book constitutes the proceedings of the 1st International Conference on Smart System for Integrated Computing and Communication, ICSSICC 2024, held in Coimbatore, India, in November 15–16, 2024.

The 29 full papers and 6 Short papers were included in this book were carefully reviewed and selected from 130 submissions. They focus on integrated computing driven healthcare, energy systems, sensor integration, data analytics.

Tartalomjegyzék:

Integrated Computing. .- Graph Representation and Chromatic Number Computation for Engineering Applications.
.- Diagnosis of Diabetic Retinopathy using Deep Learning Approach through robust Data Security with encrypted Image Analysis.
.- Resource allocation in Edge and Cloud integrated environment using Machine Learning Algorithms.
.- Complex or Irregular Lung Nodule Detection from Computed Tomography Scans.
.- Smart Strike Price Recommendations for NIFTY 50 Index Options using Deep Learning Models.
.- Eye Tracking data in Surgical skill-level classification using deep learning on integrated computing platform.
.- Implementation and Power Consumption Analysis of Reed Muller Codes: A Comparative Study of Arraybased Multipliers and Booth Multipliers on FPGA.
.- Parallelization of Knight’s Tour Using Naive Algorithm.
.- A Review of Sentiment Analysis For Text Mining On Social Media Platforms.
.- Detection of Hooks Based Programs by Intrusion Detection Systems -An Analysis.
.- Optimizing Compiler Efficiency: A Comparative Study of Parallelization Frameworks for Register Allocation.
.- Driver Safety Enhancement Using Computer Vision and Embedded for Effective Drowsiness Detection.
.- Finding Minimum Dominating Set Using Python Program in Certain Graphs.
.- EfficientNet for Enhanced Detection of Medicinal Plants: A Deep Learning Approach.
.- Real-time Monitoring Of Smart Photovoltaic System With Hybrid Inverter.
Smart System. .- Mapping Hybrid Traffic Shaper Architecture To FPGA Design For TSN Applications.
.- Design Of Low Power, Low Leakage Static Random Access Memory In FINFET Technology For Biomedical Circuits.
.- Crop Disease Detection Using Generative Adversarial Networks.
.- Hybrid Deep Learning Technique for Detecting Cardiovascular Diseases.
.- Design And Development Of Sludge Removal In Boiler Using IOT For Dyeing Industries.
.- Design And Feasibility Analysis Of Silicon And Silicon Carbide Based Non-Isolated High Gain DC-DC Converter.
.- RF-Controlled Weeding Rover.
.- Emotion Recognition from EEG Signals: A Machine Learning Perspective using DEAP dataset.
.- Adaptive Dark Channel Prior Based Image Enhancement For Weather Degraded Images.
.- Optimization Status Sensing and failure detection in MPC and Virtual Feedback MPC Applied to a Tank System.
.- AI-powered Adaptive Steganography.
.- Multimodal Driver Assistive System.
.- Innovative Light Beam-Based Wireless EV Charging with PV Panel Digital Twin Optimization.
.- Intelligent Energy Management for EV Charging Stations: Integrating Renewable Energy and Energy Storage System.
.- Analysis of Path Planning Algorithms for Swarm Robots.
.- Low Light Image Enhancement Using Retinex Algorithm for Improved Visibility.
.- Fault Diagnosis In Three-phase Voltage Source Inverter Using Machine Learning Techniques.
.- Automatic Image Captioning with Speed Synthesis.
.- Convolutional Neural Network-Based Method for Identifying Floods in Urban Environments.
.- Enhancing Sustainability in Industrial Workspaces: A Smart Approach to CO2 Reduction and Environmental Footprint.