Deep Learning and Visual Artificial Intelligence [electronic resource] : Proceedings of ICDLAI 2024 / edited by Vishal Goar, Aditi Sharma, Jungpil Shin, M. Firoz Mridha.

Colaborador(es): Goar, Vishal [editor.] | Sharma, Aditi [editor.] | Shin, Jungpil [editor.] | Mridha, M. Firoz [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Algorithms for Intelligent SystemsEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XV, 549 p. 216 illus., 192 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819745333Tema(s): Artificial intelligence | Computational intelligence | Natural language processing (Computer science) | Artificial Intelligence | Computational Intelligence | Natural Language Processing (NLP)Formatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónicoTexto En: Springer Nature eBookResumen: This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bikaner, India, during March 16-17, 2024. The book presents diverse range of topics, including advanced deep learning techniques, neural networks, image processing, object detection, and pattern recognition.
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This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bikaner, India, during March 16-17, 2024. The book presents diverse range of topics, including advanced deep learning techniques, neural networks, image processing, object detection, and pattern recognition.

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