Md. Mehedi Hasan

Machine Learning Approaches for Classifying Chess Game Outcomes: A Comparative Analysis of Player Ratings and Game Dynamics

Kamil Samara, Aaron Antreassian, Matthew T. Klug, Md. Mehedi Hasan

Online chess platforms generate vast amounts of game data, presenting opportunities to analyze match outcomes using machine learning approaches. This study develops and compares four machine learning models to classify chess game results (White win, Black win, or Draw) by integrating player …

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Machine Learning and IoT Based Automated Remote Health Monitoring and Alert System

Md. Nagib Mahfuz, Sabbir Ahmed, Md. Mehedi Hasan, Md. Hamidur Rahman

The rapid evolution of Internet of Things (IoT) technologies has significantly transformed healthcare monitoring, enabling continuous, real-time, and remote patient observation. This paper presents the design and implementation of a low-cost, portable IoT-based patient health monitoring system. The system integrates multiple biomedical …

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Draft genome sequence of Acinetobacter pittii carrying the ISAba43 mobile genetic element isolated from a urinary tract infection sample in Dhaka, Bangladesh

Md. Shiful Islam Sujan, Akhi Khanom, Dewan Zubaer Islam, Sawda Binte Monir et autres

ABSTRACT ISAba43 is a mobile genetic element (MGE) previously reported in Acinetobacter baumannii carrying antibiotic-resistance genes. The draft genome of a multidrug-resistant Acinetobacter pittii strain containing this MGE, isolated from a urinary tract infection (UTI) sample, is reported, highlighting the clinical relevance …

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NeuroYOLO: A Lightweight YOLOv10-MobileNetV3 Framework for Real-Time Brain Tumor Detection in MRI Scans

Md. Mehedi Hasan, Bikash Kumar Paul, Mohammad Shorif Uddin, Mehedi Hasan Talukder et autres

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Prevalence and Determinants of Gestational Diabetes Mellitus among Pregnant Women Attending Antenatal Care

Mst Julia Akter, Md. Athar Ansari, Md. Mehedi Hasan

Gestational Diabetes Mellitus (GDM) is a progressively common condition that presents substantial hazards to both the mother and her offspring. Considering the rapid lifestyle changes in developing countries, it is essential to identify the risk factors in that environment to avert long-term …

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Integrative Approaches to Subfertility: A Case Report on Combined Ayurvedic Interventions with Intra Urethral Uttar Vasti (IUUV)

Md. Aktaruzzaman Shaikat, Nabila Binte Haque, Md. Mehedi Hasan, Md. Alahi Khandaker et autres

Sub-fertility is a multifactorial condition requiring a comprehensive and personalized approach to treatment. This case report documented the successful conception of a couple following an integrative therapeutic regimen that combined Ayurvedic and modern medical approaches. The male partner was diagnosed asthenoteratozoospermia, the …

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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security: A Hybrid Ensemble Classification Framework

Md. Mehedi Hasan, Md Mujibur Rahman, Mohammad Mustaneer Rahman, Md Khalilur Rahman Farhad et autres

Network Intrusion Detection Systems (NIDS) play a vital role in safeguarding Internet of Things (IoT) environments against escalating security threats. As attack vectors become increasingly sophisticated, traditional detection methods struggle to maintain effectiveness, especially when managing the vast quantities of heterogeneous data …

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Sosialisasi Potensi Geografis Desa Dalam Peningkatan Ketahanan Pangan Di Desa Papela, Kecamatan Rote Timur Kabupaten Rote Ndao

Md. Mehedi Hasan, Sunimbar Sunimbar, Sukmawati Sukmawati, Habibi Musa et autres

Ketahanan pangan merupakan salah satu pilar penting dalam pembangunan berkelanjutan, khususnya di wilayah pedesaan yang memiliki potensi geografis beragam. Desa Papela Kecamatan Rote Timur Kabupaten Rote Ndao dengan karakteristik geografis yang unik , seperti kesuburan tanah, ketersediaan air, keanekaragaman hayati, dan iklim …

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Recognizing and Addressing Mental Health Comorbidities in Hypertension Care Strategies: A Narrative Review

Banasree Roy Urmi, Sinigdha Islam, M. Mahmudul Hasan, Masoud Mahdavi Rashed et autres

Background: Hypertension and mental health comorbidities, especially depression and anxiety, are prevalent in the same patient populations, contributing to poor outcomes. The bidirectional relationship between these conditions makes management more challenging, impacting treatment adherence and long-term health.  Purpose: This review aims …

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Custom Residual Networks and Transfer Learning: Tea Leaf Disease Detection

Md Masum Billah, Azmery Sultana, Md. Mehedi Hasan, Shohag Barman et autres

In Bangladesh, the tea industry holds significant importance both economically and culturally. Tea leaf diseases represent a major challenge for the tea industry in Bangladesh. We developed and compared image detection models for detecting tea leaf diseases, specifically custom Residual Networks (CRN) …

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State-of-the-art review on fall prediction among older Adults: Exploring edge devices as a promising approach for the future

Md. Abdullah Al Maruf, Md. Mahbubul Haque, Md. Mehedi Hasan, Muqit Farhan et autres

Falling is one of the most serious threats to the health and well-being of older people, resulting in their daily activities and standard of living. In addition, the cost of treating fall-related injuries is substantial, and some patients face incomplete recovery. Current …

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First-principles investigation of electronic, optical, and thermal properties of zintl phase MgX2N2 (X = Be, Ca, Sr) for optoelectronic applications: A DFT study

Aslam Hossain, Hamad Fahad Alharbi, Md. Mehedi Hasan, Vidhya Selvanathan et autres

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