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A S M Sanwar Hosen

Biographic Data

ID6956775
NAMEA S M Sanwar Hosen
GIVEN NAMESA S M Sanwar
FAMILY NAMEHosen
SIGNATUREHOSEN A S M S
AFFILIATIONSTrine University
ORCID0000-0003-0934-0995
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Artificial Intelligence in Mental Health

    Open Access•Sumaiya Yeasmin, Srabani Das et al.•ARTICLE•Journal of Ecohumanism•2025

    There is an unprecedented integration of machine learning and AI in mental healthcare which is creating changes in the ways diagnosis and treatment are provided ultimately improving the emotional health of the affected individuals. With the prevalence of mental health issues on the rise, the demand for new and improved approaches to the practice are evident. The purpose of the research is to analyze the effectiveness of AI technologies in the dia…

  • Harnessing Predictive Analytics

    Open Access•Md Azharul Islam, M Serajul Islam et al.•ARTICLE•Journal of Ecohumanism•2025

    Machine learning and predictive analytics are revolutionizing healthcare systems by enhancing early disease detection and optimizing processes. By analyzing vast amounts of data, machine learning models can forecast disease onset before symptoms show up, enabling early intervention in chronic diseases like diabetes, heart disease, and cancer. This capability also helps optimize healthcare resources, enabling hospitals to better manage staffing an…

  • IT Management Strategies for Implementing Personalized Marketing with Machine Learning in the U.S. Retail Sector

    Open Access•Md Azhad Hossain, A S M Sanwar Hosen et al.•ARTICLE•Journal of Posthumanism•2023

    In the dynamic landscape of the U.S. retail industry, personalized marketing has become a vital approach to strengthening customer engagement and driving sales. This paper investigates the application of machine learning (ML) techniques to create customized marketing strategies that align with individual consumer preferences and behaviors. By leveraging extensive datasets from both online and in-store transactions, the study utilizes predictive a…

  • Artificial intelligence and internet of things in screening and management of autism spectrum disorder

    Open Access•Tapotosh Ghosh, Md Hasan Al Banna et al.•ARTICLE•Sustainable Cities and Society•2021

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  • Artificial intelligence and internet of things in screening and management of autism spectrum disorder

    Open Access•Tapotosh Ghosh, Md Hasan Al Banna et al.•ARTICLE•Sustainable Cities and Society•2021

  • IT Management Strategies for Implementing Personalized Marketing with Machine Learning in the U.S. Retail Sector

    Open Access•Md Azhad Hossain, A S M Sanwar Hosen et al.•ARTICLE•Journal of Posthumanism•2023

    In the dynamic landscape of the U.S. retail industry, personalized marketing has become a vital approach to strengthening customer engagement and driving sales. This paper investigates the application of machine learning (ML) techniques to create customized marketing strategies that align with individual consumer preferences and behaviors. By leveraging extensive datasets from both online and in-store transactions, the study utilizes predictive a…

  • Artificial Intelligence in Mental Health

    Open Access•Sumaiya Yeasmin, Srabani Das et al.•ARTICLE•Journal of Ecohumanism•2025

    There is an unprecedented integration of machine learning and AI in mental healthcare which is creating changes in the ways diagnosis and treatment are provided ultimately improving the emotional health of the affected individuals. With the prevalence of mental health issues on the rise, the demand for new and improved approaches to the practice are evident. The purpose of the research is to analyze the effectiveness of AI technologies in the dia…

  • Harnessing Predictive Analytics

    Open Access•Md Azharul Islam, M Serajul Islam et al.•ARTICLE•Journal of Ecohumanism•2025

    Machine learning and predictive analytics are revolutionizing healthcare systems by enhancing early disease detection and optimizing processes. By analyzing vast amounts of data, machine learning models can forecast disease onset before symptoms show up, enabling early intervention in chronic diseases like diabetes, heart disease, and cancer. This capability also helps optimize healthcare resources, enabling hospitals to better manage staffing an…

Computer Science (4 works) · Applied Psychology (2 works) · Artificial Intelligence (2 works) · Data science (2 works) · Developmental psychology (2 works) · Psychology (2 works) · Analytics (1 works) · Artificial Intelligence in Healthcare (1 works) · Autism (1 works) · Autism spectrum disorder (1 works)

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