Chandra Mondal / Bhattacharya / Bhaumik | Computational Intelligence in Communications and Business Analytics | Buch | 978-3-032-17186-3 | www.sack.de

Buch, Englisch, Band 2862, 414 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 651 g

Reihe: Communications in Computer and Information Science

Chandra Mondal / Bhattacharya / Bhaumik

Computational Intelligence in Communications and Business Analytics

7th International Conference, CICBA 2025, Kolkata, India, July 4-6, 2025, Revised Selected Papers, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-17186-3
Verlag: Springer

7th International Conference, CICBA 2025, Kolkata, India, July 4-6, 2025, Revised Selected Papers, Part II

Buch, Englisch, Band 2862, 414 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 651 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-17186-3
Verlag: Springer


This three-volume set CCIS 2861-2863 constitutes the refereed proceedings of the 7th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2025, held in Kolkata, India, during July 4-6, 2025.

The 100 full papers presented in these volumes were carefully reviewed and selected from 311 submissions. The papers are organized into thematic tracks as follows:Computational Intelligence; Data Communication; and Analytics and Application.

Chandra Mondal / Bhattacharya / Bhaumik Computational Intelligence in Communications and Business Analytics jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Communication Track.- Face Recognition Lock System in Lift Using IoT.- KPAAC CCN-IoT: Key Policy Attribute-based Access Control Architecture for Internet of Things in Content Centric Network.- Graph Exploration Using Mobile Agents.- Shortest Path Pattern Recognition for Medical Emergency Vehicular Control.- AI-Driven Dynamic Cache Policy Selection in Information-Centric Networking.- Demographic-KM: An Optimized Movie Recommendation System Using Demographic Information and K-Means Clustering.- Enhancing IoT Security: Empirical Insights into Deep vs. Machine Learning for Intrusion Detection.- DNS Traffic Monitoring: Waveform Analysis for Detecting Suspicious Activity.- Evolution of Benchmark Datasets and the Evaluation of Cutting-Edge Algorithms for Underwater Image Enhancement.- Performance Analysis of Distributed Mobility Management Schemes in UAV-based 5G Networks.- An Innovative Method for Machine Learning: Liver Histopathology Detection using Ultra Sound Images, An Attention Aided Ensemble Approach.- Multi-Robot Path Planning using Visibility Graph with ROS-Gazebo Integration.- Enhancing Healthcare Data Privacy and Model Utility in Vertical Federated Learning Using Differential Privacy.- Object Classification and Detection with Liquid Neural Network.- Next-Gen Secure UAV: Leveraging Hyperelliptic Curves and Particle Swarm Optimization.- A Unified Semi-Automatic Pipeline for Efficient Annotation of Bilingual Handwritten Mathematical Answer Sheets.- Improved Diphthong Detection for Machine Translated Hindi Speech Recognition.- Innovative Plant Detection Using YOLOv9: Advancing Forestry Practices.- Accurate Soil Humidity Prediction Using Federated Learning.- Hybrid Sentiment Analysis Models: Combining Logistic Regression and LSTM Predictions.- Indoor Navigation System with Faculty Cabin Identification Using Bluetooth Channel Sounding and Distance Measurement APIs.- Beyond Transformers: A Survey on Alternative Architectures for Sequence Modeling Across AI Domains.- Deep Learning-based Enhanced Predictive Modeling for Stock Price.- A Deep Learning-Driven Approach to Automated Dragon Fruit Quality Grading.- An Autonomous Roadside Parking System Based on Kinematic Modelling and Trajectory Planning.- Enhancing Intrusion Detection Systems with Conditional Adversarial Autoencoders for Class Imbalance Mitigation.- A Data Hiding Method to Secure and Authenticate Large Bengali Text by Concealing English Secret Text.- Analysis of Lung CT Images Using VGG16 and VGG19 Algorithms.- Evaluating the Impact of Pruning on Transformer Models: A Comparative Study.- Automating Research Paper Analysis and Citation Retrieval Using Generative AI.- Developing an Artificially Intelligent Legal Judgment Prediction System.



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