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Computational Intelligence in Communications and Business Analytics : 6th International Conference, CICBA 2024, Patna, India, January 23–25, 2024, Revised Selected Papers, Part III / edited by Jyoti Prakash Singh, Maheshwari Prasad Singh, Amit Kumar Singh, Somnath Mukhopadhyay, Jyotsna K. Mandal, Paramartha Dutta.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

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Format:
Book
Author/Creator:
Singh, Jyoti Prakash.
Contributor:
Singh, Maheshwari Prasad.
Singh, Amit Kumar.
Mukhopadhyay, Somnath.
Mandal, Jyotsna K.
Dutta, Paramartha.
Series:
Communications in Computer and Information Science, 1865-0937 ; 2368
Language:
English
Subjects (All):
Data structures (Computer science).
Information theory.
Computer engineering.
Computer networks.
Artificial intelligence.
Application software.
Data Structures and Information Theory.
Computer Engineering and Networks.
Computer Communication Networks.
Artificial Intelligence.
Computer and Information Systems Applications.
Local Subjects:
Data Structures and Information Theory.
Computer Engineering and Networks.
Computer Communication Networks.
Artificial Intelligence.
Computer and Information Systems Applications.
Physical Description:
1 online resource (475 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
This three-volume set CCIS 2366-2368 constitutes the refereed proceedings of the 6th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2024, held in Patna, India, during January 23–25, 2024. The 82 full papers presented in this volume were carefully reviewed and selected from 249 submissions. Together, these papers showcase cutting-edge research in the fields of computational intelligence and business analytics, covering a broad range of topics.
Contents:
Theories and Applications to Data Communications and Analytics
Optuna and Decision Tree Based Network Intrusion Detection System for Internet of Things
Restful Architecture for Achieving Syntactic Interoperability in IoT Systems
Energy Optimized Clustering and Cluster Head Selection in WSNs an MDB-KMC and Cuttlefish Approach
D2Stege Using Decteron2 to Segment Medical Image with Security Through Steganography and Encryption
A Novel Chaos and DNA Computing for Medical Image Encryption
Session Based Symmetric Key Cryptography Using Digital Circuit Based on Two Left Shift
Digital Images Encryption Using PWLCM and Sine Map
Hybrid Humor Classification and Detection Based on Machine Learning
Data Anomaly Detection in Wireless Sensor Network Using Principal Component Analysis and Decision Tree
Industry Monitoring with Data Logger in Google Sheet Using Respberry Pi
ECCNN A Novel Efficient Compressed Convolutional Neural Network
A Modified Low Energy Consuming Mac Protocol for Wireless Sensor Networks
Text Data Security Through Hybrid Method Using Visual Cryptography and Image Steganography Algorithms
CASCAIN Cascaded Attention Infused Networks for Named Entity Recognition in Code Mixed Setting
Secure Non Fungible Token Marketplaces Using ERC 721
A Detailed Comparative Study of Regression Models for Stock Price Prediction
An Optimal Cluster Head Selection in UAV Networks Using Grey Wolf Optimization
Multi Modal Probabilistic Conditional Generative Adversarial Networks for Electric Vehicles Range Prediction
Entry Point Adaptive Keystroke Dynamics Based User Authentication for Evolving Passwords
Malicious node detection in Industrial internet of things using swarm based optimization algorithm A cyber security perspective
Is software defined smart grid secure An analysis of security issues and solutions
Energy Efficiency Optimization in IoT Based Machine Learning for Smart Environmental Monitoring
Smart Tech Cane Navigator (STCN) for Physically Challenged
A Real Time Machine Learning based Statistical Approach for Power Generation Prediction for Solar PV Plant
CipherCraft An Integrated Approach to Cryptographic Data Security in Modern Computing Environments
Unveiling Dynamics of Structural Breaks in Global Stock Markets and Implications for Forecasting Accuracy.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783031813368
3031813367
OCLC:
1499720193

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