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Record Nr. |
UNINA9911061843203321 |
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Autore |
Bansal Jagdish Chand |
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Titolo |
Computing and Machine Learning : Proceedings of CML 2025, Volume 3 / / edited by Jagdish Chand Bansal, Samarjeet Borah, Shahid Hussain, Said Salhi |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (891 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1614 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Image processing - Digital techniques |
Computer vision |
Natural language processing (Computer science) |
Computational Intelligence |
Artificial Intelligence |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Natural Language Processing (NLP) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Parallelization of 3D-LBP Feature Extraction using MPI Programming -- Combining Bidirectional and Sequential Neural Networks for Assamese Toxic Comment Detection -- Vision-Aided Intelligence with Visual Question Answering for Medical Imaging -- Hate Speech Detection using Transformers: A Deep Learning Perspective -- E-Commerce and Consumer Trust Impact of Industry 4.0 on MSME Sales and Business Practices in India. |
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Sommario/riassunto |
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This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2025), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India, during March 22–23, 2025. The book presents diverse range of topics, including machine learning algorithms and models, deep |
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learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, Internet of things, human–robot interaction, ethical and social implications of AI, applications in health care, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing. |
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