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Hassan A Alterazi

Biographic Data

ID9999892
NAMEHassan A Alterazi
GIVEN NAMESHassan A
FAMILY NAMEAlterazi
SIGNATUREALTERAZI H A
AFFILIATIONSKing Abdulaziz University
ORCID0000-0003-0137-9422
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • 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…

No prominent works on this page.

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

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