Computing, Communication and Intelligence

by Srinivas Sethi (Editor), Bibhudatta Sahoo (Editor), Deepak Tosh (Editor), Suvendra Kumar Jayasingh (Editor), Sourav Kumar Bhoi (Editor)

Overview

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.

Product Details

ISBN-13:	9781032946825
Publisher:	CRC Press
Publication date:	01/27/2025
Pages:	334
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Srinivas Sethi is a Professor in Computer Science Engineering & Application, Indira Gandhi Institute of Technology, Sarang (IGIT, Sarang), India, and has been actively involved in teaching and research since 1997.

Bibhudatta Sahoo is a computer science Professor at NIT Rourkela, India, specializing in Algorithmic Engineering, Distributed Systems, Cloud Computing, Fog/Edge Computing & IoT, and Software Defined Networks/NFV.

Deepak Tosh is an Assistant Professor of Computer Science at the University of Texas at El Paso, USA. His research focuses on addressing various multi-disciplinary networking and cybersecurity challenges associated to critical national infrastructures, Industrial Internet of Things, Blockchain, and tactical battlefields.

Suvendra Kumar Jayasingh is working as an Associate Professor and HOD in the Department of Computer Science & Engineering, Institute of Management and Information Technology (IMIT), Cuttack (A Constituent College of BPUT, Govt. of Odisha), India after being selected in OPSC (Orissa Public Service Commission) in 2005.

Sourav Kumar Bhoi is currently working as an Assistant Professor in the Department of CSE, Parala Maharaja Engineering College (a Govt. college affiliated to BPUT), Berhampur, India. His research interests include Vehicular Networks, Internet of Things, Edge and Fog Computing, Machine Learning, and Information Security.

Table of Contents

1. Single Phase Shunt Active Power Filter using AHCC and CHCC
/2. A Comparative Analysis of ANN and RNN Technique for UWB Gaussian Pulse based Indoor Localisation
/3. DDOS Attack Detection Using Time Based Features
/4. Secure Guard
/5. Marine Biodiversity Conservation through Computer Vision and Deep Learning
/6. Comparison of Various Factors Responsible for Task Offloading in Edge Computing Framework
/7. Load Balancer Model in the Cloud Computing Environment
/8. Study and Comparison of Malware Detection Using Deep Learning Techniques
/9. Nature-Inspired Meta-Heuristic Algorithms for Optimizing Neural Network Training
/10. PCAFeEx
/11. Effectiveness of SOSA, FFA and GOA Algorithms for Epileptic Seizure Detection Using DWT and SVM
/12. A Novel Approach to Detect Epileptic Seizure from EEG Signal Using WPT and LSSVM Classifier Optimised by Tunicate Swarm Algorithm
/13. Antral Gastritis Preliminary Diagnosis by Endoscopic Image Analysis Using Deep Learning Approach
/14. Design and Development of Privacy Preservation Approach in Data Mining Using Multivariate Framework in Continuous and Multi-Dimensional Data
/15. Virtual IGA-GRU
/16. Fuzzy Logic Based Usability Sub-Characteristic Analysis for M-Learning Application Utilizing GQM & ISO 9241-11
/17. Analytical Studies of Load Variation on Terminal Voltage and Frequency of Three Phase Synchronous Generator Using Fractional Order PI Controller
/18. Blockchain Smart Contract Fortification using Bytecode Analysis to Address Vulnerabilities
/19. Fingers Identification Architecture for AIR CANVAS
/20. Performance Evaluation of Cloud with load balancing Algorithms
/21. Automation of Genetic Diagnosis for Detecting Chromosome Structure
/22. Exploring Cardiac Dynamics
/23. An Investigation of the Applicability of Machine Learning Methods to the Forecasting of Cardiovascular Disease
/24. Simulation and Analysis of Power Quality Improvement FLC Based DVR for Mitigating Voltage Sags in Grid Connected Power Systems
/25. A Comparative Analysis of Working Memory Dynamics through EEG Methodology
/26. Zero Forcing Conditioning of Energy Efficiency in a Contemporary Quasi-Massive MIMO System
/27. Energy Efficient Wireless Sensor Networks using Support Vector Machine
/28. Power control of a DFIG based wind turbine using bio-inspired algorithm optimised fuzzy logic controller
/29. Implementation and Evaluation of Software Defined Wide Area Networking (SD-WAN) Infrastructure Using Cisco System Technologies
/30. e-Ensemble for Diagnosis Gene Expression Data using Hybrid Feature Selection
/31. Path Planning of Autonomous Underwater Vehicle in Swimming Pool Under Communication Constraints
/32. An Intelligent WBAN to Predict Cardiovascular Diseases
/33. Online Auction Fraud Detection Using Deep Learning Network
/34. Advancing Medical Diagnosis
/35. Comparative Analysis of Deep Learning Architectures for MRI Classification
/36. Ranking Optimised Statistical Models for Time Series Forecasting of Crude Oil Price
/37. Arduino Uno-based Women Safety Device with IoT
/38. River Pollution Detection and Quantification with Aerial Imagery using YOLOv8
/39. Survey on Diverse Access Control Techniques in Cloud Computing
/40. A Mathematical Modelling Approach for Customised Robot in Smart Manufacturing
/41. Precision Cardio Care
/42. Design and Implementation of Viterbi Decoder Using Verilog HDL
/43. Enhancing Environmental Impact Assessments for Sustainable Development
/44. Unveiling Deception
/45. Ultrasonic Communication Using ASK Modulation and Demodulation Technique for Implanted Sensor in Wireless Body Area Network
/46. Harmony in Harvest: Machine Learning’s Symphony for Sustainable Agriculture
/47. Efficient FOG task Scheduling Using Humming Bird Based Task Assignment
/48. Efficient Watermarking Framework Using Cryptography and Bit Substitution
/49. Analyzing the Effectiveness of Machine Learning Algorithms in detecting Fake News
/50. Analyzing the Machine Learning Approaches in Predicting the Crop Yield
/51. BCViT
/52. Enhancing Watermark Detection in Digital Media Ownership Protection through Hamming Coding
/53. Structural Integrity Preservation through Digital Watermarking using Dual Decomposition Techniques
/54. Use of Machine Learning Models and Ayurveda in Early Malignancy Prediction
/55. Predictive Modelling of Disease-Gene Association through Machine Learning Approaches
/56. Design of Wireless Sensor Network-based IoT platform for Precision Agricultural Applications
/57. Optimization of Optical Communication Using Optical Fiber at Tri-Optical Windows
/58. A Swarm Optimised Deep Learning Model for Financial Time Series Forecasting
/59. IoT Enabled Green House Environment Automation
/60. Restaurant Recommendation System Utilising User Preferences with Content-Based Filtering
/61. A Logistic Regression Approach for Cancer Prediction
/62. Exploring the Underlying Patterns and Relationships Between Temperature and Heavy Rainfall Events over Western Japan
/63. Water Quality Analysis Using Intelligent Framework