Computer Vision and Machine Intelligence [electronic resource] : Proceedings of CVMI 2022 / edited by Massimo Tistarelli, Shiv Ram Dubey, Satish Kumar Singh, Xiaoyi Jiang.

Colaborador(es): Tistarelli, Massimo [editor.] | Dubey, Shiv Ram [editor.] | Singh, Satish Kumar [editor.] | Jiang, Xiaoyi [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 586Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXVIII, 777 p. 318 illus., 260 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811978678Tema(s): Computational intelligence | Computer vision | Artificial intelligence | Computational Intelligence | Computer Vision | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means -- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder -- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.
En: Springer Nature eBookResumen: This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022). The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain. .
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Efficient Voluntary Contact-Tracing System & Network for COVID-19 Patients using Sound Waves and Predictive Analysis using K-Means -- Direct De Novo Molecule Generation using Probabilistic Diverse Variational Autoencoder -- Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.

This book presents selected research papers on current developments in the fields of computer vision and machine intelligence from International Conference on Computer Vision and Machine Intelligence (CVMI 2022). The book covers topics in image processing, artificial intelligence, machine learning, deep learning, computer vision, machine intelligence, etc. The book is useful for researchers, postgraduate and undergraduate students, and professionals working in this domain. .

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