Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Suresh Chandra Satapathy

Biographic Data

ID9159692
NAMESuresh Chandra Satapathy
GIVEN NAMESSuresh Chandra
FAMILY NAMESatapathy
SIGNATURESATAPATHY S C
AFFILIATIONSKIIT University
ORCID0000-0001-8236-4104
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Predicting occupational injury causal factors using text-based analytics

    Open Access•Mohamed Zul Fadhli Khairuddin, Khairunnisa Hasikin et al.•ARTICLE•Frontiers in Public Health•2022

    Workplace accidents can cause a catastrophic loss to the company including human injuries and fatalities. Occupational injury reports may provide a detailed description of how the incidents occurred. Thus, the narrative is a useful information to extract, classify and analyze occupational injury. This study provides a systematic review of text mining and Natural Language Processing (NLP) applications to extract text narratives from occupational i…

  • Prioritisation Assessment and Robust Predictive System for Medical Equipment

    Open Access•Aizat Hilmi Zamzam, Ayman Khallel Ibrahim Al-Ani et al.•ARTICLE•Frontiers in Public Health•2021

    The advancement of technology in medical equipment has significantly improved healthcare services. However, failures in upkeeping reliability, availability, and safety affect the healthcare services quality and significant impact can be observed in operations' expenses. The effective and comprehensive medical equipment assessment and monitoring throughout the maintenance phase of the asset life cycle can enhance the equipment reliability, availab…

  • A Systematic Review of Medical Equipment Reliability Assessment in Improving the Quality of Healthcare Services

    Open Access•Aizat Hilmi Zamzam, Ahmad Khairi Abdul Wahab et al.•ARTICLE•Frontiers in Public Health•2021

    Medical equipment highly contributes to the effectiveness of healthcare services quality. Generally, healthcare institutions experience malfunctioning and unavailability of medical equipment that affects the healthcare services delivery to the public. The problems are frequently due to a deficiency in managing and maintaining the medical equipment condition by the responsible party. The assessment of the medical equipment condition is an importan…

  • Brain Tumour Temporal Monitoring of Interval Change Using Digital Image Subtraction Technique

    Open Access•Azira Khalil, A Rahimi et al.•ARTICLE•Frontiers in Public Health•2021

    A process that involves the registration of two brain Magnetic Resonance Imaging (MRI) acquisitions is proposed for the subtraction between previous and current images at two different follow-up (FU) time points. Brain tumours can be non-cancerous (benign) or cancerous (malignant). Treatment choices for these conditions rely on the type of brain tumour as well as its size and location. Brain cancer is a fast-spreading tumour that must be treated …

  • Retracted

    Open Access•Shuihua Wang, Shui-Hua Wang et al.•ARTICLE•Frontiers in Public Health•2021

    Aim: Coronavirus disease 2019 (COVID-19) is a form of disease triggered by a new strain of coronavirus. This paper proposes a novel model termed “deep fractional max pooling neural network (DFMPNN)” to diagnose COVID-19 more efficiently. Methods: This 12-layer DFMPNN replaces max pooling (MP) and average pooling (AP) in ordinary neural networks with the help of a novel pooling method called “fractional max-pooling” (FMP). In addition, multiple-wa…

  • Socio-cultural Inspired Metaheuristics

    Open Access•Anand J Kulkarni, Pramod Kumar Singh et al.•EDITOR•BOOK•Socio-cultural Inspired…•2019

No prominent works on this page.

  • Socio-cultural Inspired Metaheuristics

    Open Access•Anand J Kulkarni, Pramod Kumar Singh et al.•EDITOR•BOOK•Socio-cultural Inspired…•2019

  • Prioritisation Assessment and Robust Predictive System for Medical Equipment

    Open Access•Aizat Hilmi Zamzam, Ayman Khallel Ibrahim Al-Ani et al.•ARTICLE•Frontiers in Public Health•2021

    The advancement of technology in medical equipment has significantly improved healthcare services. However, failures in upkeeping reliability, availability, and safety affect the healthcare services quality and significant impact can be observed in operations' expenses. The effective and comprehensive medical equipment assessment and monitoring throughout the maintenance phase of the asset life cycle can enhance the equipment reliability, availab…

  • A Systematic Review of Medical Equipment Reliability Assessment in Improving the Quality of Healthcare Services

    Open Access•Aizat Hilmi Zamzam, Ahmad Khairi Abdul Wahab et al.•ARTICLE•Frontiers in Public Health•2021

    Medical equipment highly contributes to the effectiveness of healthcare services quality. Generally, healthcare institutions experience malfunctioning and unavailability of medical equipment that affects the healthcare services delivery to the public. The problems are frequently due to a deficiency in managing and maintaining the medical equipment condition by the responsible party. The assessment of the medical equipment condition is an importan…

  • Brain Tumour Temporal Monitoring of Interval Change Using Digital Image Subtraction Technique

    Open Access•Azira Khalil, A Rahimi et al.•ARTICLE•Frontiers in Public Health•2021

    A process that involves the registration of two brain Magnetic Resonance Imaging (MRI) acquisitions is proposed for the subtraction between previous and current images at two different follow-up (FU) time points. Brain tumours can be non-cancerous (benign) or cancerous (malignant). Treatment choices for these conditions rely on the type of brain tumour as well as its size and location. Brain cancer is a fast-spreading tumour that must be treated …

  • Retracted

    Open Access•Shuihua Wang, Shui-Hua Wang et al.•ARTICLE•Frontiers in Public Health•2021

    Aim: Coronavirus disease 2019 (COVID-19) is a form of disease triggered by a new strain of coronavirus. This paper proposes a novel model termed “deep fractional max pooling neural network (DFMPNN)” to diagnose COVID-19 more efficiently. Methods: This 12-layer DFMPNN replaces max pooling (MP) and average pooling (AP) in ordinary neural networks with the help of a novel pooling method called “fractional max-pooling” (FMP). In addition, multiple-wa…

  • Predicting occupational injury causal factors using text-based analytics

    Open Access•Mohamed Zul Fadhli Khairuddin, Khairunnisa Hasikin et al.•ARTICLE•Frontiers in Public Health•2022

    Workplace accidents can cause a catastrophic loss to the company including human injuries and fatalities. Occupational injury reports may provide a detailed description of how the incidents occurred. Thus, the narrative is a useful information to extract, classify and analyze occupational injury. This study provides a systematic review of text mining and Natural Language Processing (NLP) applications to extract text narratives from occupational i…

Computer Science (4 works) · Artificial Intelligence (3 works) · Medicine (3 works) · Engineering (2 works) · Mathematics (2 works) · Abnormality (1 work) · Advanced Neural Network Applications (1 work) · Algorithm (1 work) · Anomaly Detection Techniques and Applications (1 work) · Artificial Intelligence (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae