Computing, Communication and Intelligence

Srinivas Sethi, Bibhudatta Sahoo, Deepak Tosh, Suvendra Kumar Jayasingh, Sourav Kumar Bhoi

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040274101
• Edition: 0
• Topic: Computer Science
• Subtopic: Applied Sciences
• Index: Computer Science

The International Conference on Cutting-edge Technology in Computing, Communications, and Intelligence- (ICCTCCI-2024) focuses on the application of smart technology and materials for smarter industrial production. The ICCTCCI-2024 provides common platform for presentation of original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different aspects and fields of industry. It also focuses on the event organized with the objective of bringing together academicians, scientists, researchers from industry, research scholars, and students working in different industrial domains and applied applications.

Table of contents

• Cover Page
• Half Title page
• Copyright Page
• Title Page
• Contents
• List of Figures
• List of Tables
• Preface
• Editors Biography
• Reviewers
• Single Phase Shunt Active Power Filter using AHCC and CHCC
• A Comparative Analysis of ANN and RNN Technique for UWB Gaussian Pulse based Indoor Localisation
• DDOS Attack Detection Using Time Based Features
• Secure Guard: Deep Shield - A Deep Learning Powered Defense Against DoS Attacks
• Marine Biodiversity Conservation through Computer Vision and Deep Learning
• Comparison of Various Factors Responsible for Task Offloading in Edge Computing Framework
• Load Balancer Model in the Cloud Environment
• Study and Comparison of Malware Detection Using Deep Learning Techniques
• Nature-Inspired Meta-Heuristic Algorithms for Optimizing Neural Network Training A Focus on Particle Swarm Optimization and Firefly Algorithm
• PCAFeEx: A Machine Learning-Based Concept for Predicting Heart Disease Using Principal Component Analysis Feature Extraction
• Effectiveness of SOSA, FFA and GOA Algorithms for Epileptic Seizure Detection Using DWT and SVM
• A Novel Approach to Detect Epileptic Seizure from EEG Signal Using WPT and LSSVM Classifier Optimised by Tunicate Swarm Algorithm
• Antral Gastritis Preliminary Diagnosis by Endoscopic Image Analysis Using Deep Learning Approach
• Design and Development of Privacy Preservation Approach in Data Mining Using Multivariate Framework in Continuous and Multi-Dimensional Data
• Virtual IGA-GRU An Approach for Load Balancing in Cloud Computing
• Fuzzy Logic Based Usability Sub-Characteristic Analysis for M-Learning Application Utilizing GQM & ISO 9241–11
• Analytical Studies of Load Variation on Terminal Voltage and Frequency of Three Phase Synchronous Generator Using Fractional Order PI Controller
• Blockchain Smart Contract Fortification using Bytecode Analysis to Address Vulnerabilities
• Fingers Identification Architecture for AIR CANVAS A Case Study
• Performance Evaluation of Cloud with load balancing Algorithms
• Automation of Genetic Diagnosis for Detecting Chromosome Structure
• Exploring Cardiac Dynamics: An Investigation of Machine Learning Approaches in Heart Attack Prediction
• An Investigation of the Applicability of Machine Learning Methods to the Forecasting of Cardiovascular Disease
• Simulation and Analysis of Power Quality Improvement FLC Based DVR for Mitigating Voltage Sags in Grid Connected Power Systems
• A Comparative Analysis of Working Memory Dynamics through EEG Methodology
• Zero Forcing Conditioning of Energy Efficiency in a Contemporary Quasi-Massive MIMO System
• Energy Efficient Wireless Sensor Networks using Support Vector Machine
• Power control of a DFIG based wind turbine using bio-inspired algorithm optimised fuzzy logic controller
• Implementation and Evaluation of Software Defined Wide Area Networking (SD-WAN) Infrastructure Using Cisco System Technologies
• e-Ensemble for Diagnosis Gene Expression Data using Hybrid FeatureSelection
• Path Planning of Autonomous Underwater Vehicle in Swimming Pool Under Communication Constraints
• An Intelligent WBAN to Predict Cardiovascular Diseases
• Online Auction Fraud Detection Using Deep Learning Network
• Advancing Medical Diagnosis: An In-Depth Exploration of Image Processing Techniques for Swift and Accurate Detection of Brain Tumors in Magnetic Resonance Imaging
• Comparative Analysis of Deep Learning Architectures for MRI Classification
• Ranking Optimised Statistical Models for Time Series Forecasting of Crude Oil Price
• Arduino Uno-based Women Safety Device with IoT
• River Pollution Detection and Quantification with Aerial Imagery using YOLOv8
• Survey on Diverse Access Control Techniques in Cloud Computing
• A Mathematical Modelling Approach for Customised Robot in Smart Manufacturing
• Precision Cardio Care: Unveiling the Power of Machine Learning Models for Cardiovascular Risk Prediction
• Design and Implementation of Viterbi Decoder Using Verilog HDL
• Enhancing Environmental Impact Assessments for Sustainable Development: A Machine Learning Approach
• Unveiling Deception: Safeguarding Supply Chain IoT from Data Fraudulence with Context-Aware Deep Learning
• Ultrasonic Communication Using ASK Modulation and Demodulation Technique for Implanted Sensor in Wireless Body Area Network
• Harmony in Harvest: Machine Learning's Symphony for Sustainable Agriculture
• Efficient FOG task Scheduling Using Humming Bird Based Task Assignment
• Efficient Watermarking Framework Using Cryptography and Bit Substitution
• Analyzing the Effectiveness of Machine Learning Algorithms in detecting Fake News
• Analyzing the Machine Learning Approaches in Predicting the Crop Yield: A Decade Literature Review
• BCViT: A Vision Transformer Enabled Deep Learning Model for Brest Cancer Identification
• Enhancing Watermark Detection in Digital Media Ownership Protection through Hamming Coding
• Structural Integrity Preservation through Digital Watermarking using Dual Decomposition Techniques
• Use of Machine Learning Models and Ayurveda in Early Malignancy Prediction
• Predictive Modelling of Disease-Gene Association through Machine Learning Approaches
• Design of Wireless Sensor Network-based IoT platform for Precision Agricultural Applications
• Optimization of Optical Communication Using Optical Fiber at Tri-Optical Windows
• A Swarm Optimised Deep Learning Model for Financial Time Series Forecasting
• IoT Enabled Green House Environment Automation
• Restaurant Recommendation System Utilising User Preferences with Content-Based Filtering
• A Logistic Regression Approach for Cancer Prediction
• Exploring the Underlying Patterns and Relationships Between Temperature and Heavy Rainfall Events over Western Japan
• Water Quality Analysis Using Intelligent Framework