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Intelligent vision and computing = p...

International Conference on Intelligent Vision and Computing (2024 :)

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Intelligent vision and computing = proceedings of ICIVC 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent vision and computing/ edited by Apu Kumar Saha ... [et al.].
其他題名:	proceedings of ICIVC 2024 /
其他題名:	ICIVC 2024
其他作者:	Saha, Apu Kumar.
團體作者:	International Conference on Intelligent Vision and Computing
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xviii, 344 p. :ill., digital ;24 cm.
內容註:	1. Python-driven Mapping of Technological Proficiency with AI to Simplify Transfer Applications in Education -- 2. Optimizing Categorical Boosting using Modified Metaheuristic for Review Sentiment Analysis -- 3. Comprehensive Analysis on Sentiment Analysis using Bidirectional Sequential Models -- 4. Optimizing Brain Tumor Detection through Deep Learning -- 5. Efficient Shard Allocation and Security-Driven Optimization in Metaverse Blockchain Frameworks -- 6. Unified NeRF: Integrating Explicit and Implicit Techniques for Advanced 3D Scene Modeling -- 7. Multi sensors setup and placement with simulation using ROS and GAZEBO -- 8. OWM-DM: Optimal Weighted Model for Decision-Making-Based Intrusion Detection in IoT Environment for Handling Cyber-Attacks -- 9. Leveraging Hypergraph Neural Network for Fake News Detection on UPFD Dataset -- 10. Efficient Intrusion Detection in Social IoT: A Hybrid CNN-LSTM Model -- etc.
Contained By:	Springer Nature eBook
標題:	Computer vision - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-96-4722-4
ISBN:	9789819647224

Intelligent vision and computing = proceedings of ICIVC 2024 /
Intelligent vision and computingproceedings of ICIVC 2024 /[electronic resource] :ICIVC 2024edited by Apu Kumar Saha ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xviii, 344 p. :ill., digital ;24 cm. - Studies in smart technologies,3004-989X. - Studies in smart technologies..

1. Python-driven Mapping of Technological Proficiency with AI to Simplify Transfer Applications in Education -- 2. Optimizing Categorical Boosting using Modified Metaheuristic for Review Sentiment Analysis -- 3. Comprehensive Analysis on Sentiment Analysis using Bidirectional Sequential Models -- 4. Optimizing Brain Tumor Detection through Deep Learning -- 5. Efficient Shard Allocation and Security-Driven Optimization in Metaverse Blockchain Frameworks -- 6. Unified NeRF: Integrating Explicit and Implicit Techniques for Advanced 3D Scene Modeling -- 7. Multi sensors setup and placement with simulation using ROS and GAZEBO -- 8. OWM-DM: Optimal Weighted Model for Decision-Making-Based Intrusion Detection in IoT Environment for Handling Cyber-Attacks -- 9. Leveraging Hypergraph Neural Network for Fake News Detection on UPFD Dataset -- 10. Efficient Intrusion Detection in Social IoT: A Hybrid CNN-LSTM Model -- etc.

This book includes selected papers presented at 4th International Conference on Intelligent Vision and Computing (ICIVC 2024), held at National Institute of Technology, Agartala, India, during 23-24 November 2024. The conference proceedings is a collection of high-quality research articles in the field of intelligent vision and computing. The topics covered in the book are artificial intelligence, machine learning, deep learning, internet of things, information security, embedded systems, cloud computing, quantum computing, bio-inspired intelligence, cyber-physical systems, hybrid systems, intelligence for security, data mining, evolutionary optimization, swarm intelligence, signal processing, blockchain technology, big data applications, natural language processing, data acquisition, storage and retrieval for big data, data representation, and processing, imaging sensors technology, features extraction, image segmentation, deep learning, convolutional neural network, biometrics recognition, biomedical imaging, intelligent transport systems, and human-computer interaction.

ISBN: 9789819647224

Standard No.: 10.1007/978-981-96-4722-4doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

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