| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9911021971103321 |
|
|
Autore |
Huang Lin |
|
|
Titolo |
Proceedings of 17th International Conference on Machine Learning and Computing : ICMLC2025, Volume 2 / / edited by Lin Huang, David Greenhalgh |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2025.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (1054 pages) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1476 |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computational intelligence |
Engineering - Data processing |
Machine learning |
Computational Intelligence |
Data Engineering |
Machine Learning |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Image Feature Analysis and Processing Technology -- Intelligent Detection Models and Algorithms -- Multimodal Image Intelligent Recognition and Calculation -- Image Segmentation and Classification -- Signal Recognition and Key Technologies -- Information Security Detection and Analysis -- Text Analysis and Classification. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book comprises original and peer reviewed research papers presented at 2025 17th International Conference on Machine Learning and Computing that was held in Guangzhou, China, from February 14 to 17, 2025. The focus of the conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. Topics discussed in this volume include Machine Learning Theory and Algorithms, High-performance Computing Models and Data Processing, Large-scale Language Models and Natural Language Processing, Data-oriented Information System Optimization and Intelligent Computing, AI-based Intelligent Control Systems and System Security, etc. The book will become a valuable resource for academics, |
|
|
|
|
|
|
|
|
|
|
industry professionals, and engineers working in the related fields of machine learning and computing. |
|
|
|
|
|
| |