Computing, Communication and Intelligence

Srinivas Sethi, BIBHUDATTA SAHOO, Deepak Tosh, Suvendra Kumar Jayasingh, Sourav Kumar Bhoi (Herausgeber)

Buch | Softcover

334 Seiten

2025
CRC Press (Verlag)
978-1-032-94682-5 (ISBN)

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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.

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.

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

Erscheint lt. Verlag	27.1.2025
Verlagsort	London
Sprache	englisch
Maße	174 x 246 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	1-032-94682-2 / 1032946822
ISBN-13	978-1-032-94682-5 / 9781032946825
Zustand	Neuware