| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Intelligent vision and computing/ edited by Apu Kumar Saha ... [et al.]. |
| Reminder of title: |
proceedings of ICIVC 2024 / |
| remainder title: |
ICIVC 2024 |
| other author: |
Saha, Apu Kumar. |
| corporate name: |
International Conference on Intelligent Vision and Computing |
| Published: |
Singapore :Springer Nature Singapore : : 2025., |
| Description: |
xviii, 344 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
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 |
| Subject: |
Computer vision - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-981-96-4722-4 |
| ISBN: |
9789819647224 |