Intelligent Technologies [electronic resource] : Concepts, Applications, and Future Directions, Volume 3 / edited by Himansu Das, Arup Abhinna Acharya, Kuan-Ching Li.

Colaborador(es): Das, Himansu [editor.] | Acharya, Arup Abhinna [editor.] | Li, Kuan-Ching [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Computational Intelligence ; 1167Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: X, 204 p. 88 illus., 62 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819752041Tema(s): Computational intelligence | Artificial intelligence | Quantitative research | Cloud Computing | Wireless communication systems | Mobile communication systems | Computational Intelligence | Artificial Intelligence | Data Analysis and Big Data | Cloud Computing | Wireless and Mobile CommunicationFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Enhancing Healthcare with Optimized Computational Models for Disease Diagnosis Using Gene Expression Dataset -- A Unified Deep Learning Framework for Sentiment Analysis of Reviews -- An Efficient Infectious Disease Detection in Plants Using Deep Learning -- Analysis of Cardiovascular Diseases prediction using various Machine Learning and Deep Learning algorithms -- Identifying Humans through Gait Features.
En: Springer Nature eBookResumen: This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at third PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.
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Enhancing Healthcare with Optimized Computational Models for Disease Diagnosis Using Gene Expression Dataset -- A Unified Deep Learning Framework for Sentiment Analysis of Reviews -- An Efficient Infectious Disease Detection in Plants Using Deep Learning -- Analysis of Cardiovascular Diseases prediction using various Machine Learning and Deep Learning algorithms -- Identifying Humans through Gait Features.

This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at third PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.

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