Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Hassan A Alterazi

Datos Biográficos

ID9999892
NOMBREHassan A Alterazi
NOMBRESHassan A
APELLIDOAlterazi
FIRMAALTERAZI H A
AFILIACIONESKing Abdulaziz University
ORCID0000-0003-0137-9422
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
OBRAS COMO AUTOR2
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • Deep Conviction Systems for Biomedical Applications Using Intuiting Procedures With Cross Point Approach

    Open Access•Hariprasath Manoharan, Shitharth Selvarajan et al.•ARTICLE•Frontiers in Public Health•2022

    The production, testing, and processing of signals without any interpretation is a crucial task with time scale periods in today's biological applications. As a result, the proposed work attempts to use a deep learning model to handle difficulties that arise during the processing stage of biomedical information. Deep Conviction Systems (DCS) are employed at the integration step for this procedure, which uses classification processes with a large …

  • Perception Exploration on Robustness Syndromes With Pre-processing Entities Using Machine Learning Algorithm

    Open Access•Pravin R Kshirsagar, Hariprasath Manoharan et al.•ARTICLE•Frontiers in Public Health•2022

    The majority of the current-generation individuals all around the world are dealing with a variety of health-related issues. The most common cause of health problems has been found as depression, which is caused by intellectual difficulties. However, most people are unable to recognize such occurrences in them, and no procedures for discriminating them from normal people have been created so far. Even some advanced technologies do not support dis…

Sin obras prominentes en esta página.

  • Deep Conviction Systems for Biomedical Applications Using Intuiting Procedures With Cross Point Approach

    Open Access•Hariprasath Manoharan, Shitharth Selvarajan et al.•ARTICLE•Frontiers in Public Health•2022

    The production, testing, and processing of signals without any interpretation is a crucial task with time scale periods in today's biological applications. As a result, the proposed work attempts to use a deep learning model to handle difficulties that arise during the processing stage of biomedical information. Deep Conviction Systems (DCS) are employed at the integration step for this procedure, which uses classification processes with a large …

  • Perception Exploration on Robustness Syndromes With Pre-processing Entities Using Machine Learning Algorithm

    Open Access•Pravin R Kshirsagar, Hariprasath Manoharan et al.•ARTICLE•Frontiers in Public Health•2022

    The majority of the current-generation individuals all around the world are dealing with a variety of health-related issues. The most common cause of health problems has been found as depression, which is caused by intellectual difficulties. However, most people are unable to recognize such occurrences in them, and no procedures for discriminating them from normal people have been created so far. Even some advanced technologies do not support dis…

Artificial Intelligence (2 obras) · Computer Science (2 obras) · Machine learning (2 obras) · Convolutional neural network (1 obra) · Deep learning (1 obra) · ECG Monitoring and Analysis (1 obra) · EEG and Brain-Computer Interfaces (1 obra) · Emotion and Mood Recognition (1 obra) · Engineering (1 obra) · Fault Detection and Control Systems (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae