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Computational Intelligence and Network Systems First International Conference, CINS 2023, Dubai, United Arab Emirates, October 18-20, 2023, Proceedings
Title
Computational Intelligence and Network Systems [electronic resource] : First International Conference, CINS 2023, Dubai, United Arab Emirates, October 18-20, 2023, Proceedings / edited by Raja Muthalagu, Tamizharasan P S, Pranav M. Pawar, Elakkiya R, Neeli Rashmi Prasad, Michele Fiorentino.
ISBN
9783031489846
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XII, 143 p.) 72 illus., 51 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the proceedings of the First International Conference, CINS 2023, held in Dubai, United Arab Emirates, from October 18 to 20, 2023. The 11 full papers included in this volume were carefully reviewed and selected from 130 submissions. This volume discusses contemporary challenges within computing systems and the utilization of intelligent approaches to improve computing methodologies, data processing capabilities, and the application of these intelligent techniques. The book also addresses several topics pertaining to networks, including security, network data processing, networks that transcend boundaries, device heterogeneity, and advancements in networks connected to the Internet of Things, software-defined networks, cloud computing, and intelligent networks.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 17, 2024
Series
Communications in Computer and Information Science, 1978
Contents
SemVidRec: A Semantic Approach to Annotations Driven Video Recommendation Model Incorporating Machine Intelligence
HeartBeatNet: Unleashing the Power of Attention in Cardiology
EEG-based Identification of Schizophrenia using Deep Learning Techniques
MLSM: A Metadata Driven Learning Infused Semantics Oriented Model for WebImage Recommendation Via Tags
Protocol Security in 6th Generation (6G) Networks
Efficient Method for Video Sentiment Analysis. -Deep Learning-Based Solution for Intrusion Detection in the Internet of Things
Plant Protein Classification using K-mer Encoding
Deep CNN based Alzheimer Analysis in MRI using Clinical Dementia Rating
Disaster Tweets Classification for Multilingual Tweets using Machine Learning Techniques
Enhancing Mitotic Cell Segmentation: A
Transformer based U-Net Approach.
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