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Results for “"Shahariar Hossain Mahir"”

9 results

Comparative analysis based on DeepSeek, ChatGPT, and Google Gemini: Features, techniques, performance, future prospects

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Anichur Rahman, Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim et al.

Journal: Systems and Soft ComputingYear: 2025Citations: 36

Large Language Models (LLMs) such as DeepSeek, ChatGPT, and Google Gemini are transforming the landscape of artificial intelligence and natural language processing through advanced reasoning, multimodal learning, and domain-specific performance. Despite their rapid rise in popularity and broad poten...

Health SciencesMedicineHealth InformaticsOpen Access
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Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction

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Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim, Dipanjali Kundu et al.

Journal: IEEE Open Journal of the Computer SocietyYear: 2025Citations: 16

Flood prediction is one of the most critical challenges facing today's world. Predicting the probable time of a flood and the area that might get affected is the main goal of it, and more so for a region like Sylhet, Bangladesh where transboundary water flows and climate change have increased the ri...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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PriFL-XAI: Hybrid privacy-preserving federated learning models for monkeypox detection through GAN augmentation and explainable AI

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Shahariar Hossain Mahir, Md Tanjum An Tashrif, Aysha Siddika Shathe, Md Ahsan Karim et al.

Journal: Biomedical Signal Processing and ControlYear: 2025Citations: 6

Monkeypox has emerged as a critical global health concern, demanding timely and precise diagnostic measures to control its spread. Despite its similarity to other pox viruses, accurate detection is hindered by the scarcity of privacy-protected medical imaging data, which complicates the application ...

Life SciencesImmunology and MicrobiologyVirologyOpen Access
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Hydro-Informatic Modeling for Flood Prediction Through Explainable AI to Interpret Water Dynamics in Bangladesh Perspective

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Shahariar Hossain Mahir, Md Tanjum An Tashrif, M Hamza, Tawfiqul Haq Tamim et al.

Year: 2024Citations: 6

Bangladesh's low-lying geography and climatic sensitivity are making Sylhet in particular more vulnerable to flooding. The Surma and Kushiara rivers spilling their banks is the primary source of the floods in Sylhet. These rivers flow into Bangladesh with more monsoon water from their source in nort...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Emotion Recognition from Bangla Dialect Speech using Privacy-Aware Deep Learning Models: A Comparative Analysis

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Jaheen Md. Abrar Khan A, Md Tanjum An Tashrif, Shahariar Hossain Mahir, Umme Sara et al.

Journal: Research SquareYear: 2025Citations: 1

Speech emotion recognition (SER) is critical for creating affective and context-aware human-computer interaction systems. However, SER research in low-resource languages like Bangla is still restricted, especially in terms of dialectal variety and privacy-preserving model training. This paper introd...

Social SciencesPsychologyExperimental and Cognitive PsychologyOpen Access
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Emotion recognition from Bangla dialect speech using privacy-aware deep learning models: a comparative analysis

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Jaheen Md. Abrar Khan Abrar, Md Tanjum An Tashrif, Shahariar Hossain Mahir, Umme Sara et al.

Journal: International Journal of Speech TechnologyYear: 2026
Social SciencesPsychologyExperimental and Cognitive Psychology
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Predicting preterm birth with privacy-preserving AI models: Federated learning and explainable AI

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Md Tanjum An Tashrif, Shahariar Hossain Mahir, Dipanjali Kundu, Anichur Rahman et al.

Journal: Egyptian Informatics JournalYear: 2026

Preterm birth remains a significant public health challenge, closely associated with infant mortality and long-term morbidity. The complexity of its causes complicates accurate prediction. In this study, we present an AI-driven model designed to predict preterm birth, integrating federated learning ...

Health SciencesMedicineEpidemiologyOpen Access
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An explainable framework for dementia risk prediction based on lifestyle data using machine learning and deep learning

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Md. Kowsar Ahmed, Anichur Rahman, Dipanjali Kundu, Md. Alve Authi Alam et al.

Journal: Discover Artificial IntelligenceYear: 2026

Dementia is a progressive neurodegenerative disease that affects millions worldwide and is a challenge for early detection due to the cost, invasiveness, and limited access of available clinical methods. This study proposes an explainable Artificial Intelligence (AI) system for the prediction of ris...

Artificial intelligenceDeep learningMachine learningOpen Access
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AMCD: A multi-domain agricultural crop and flower image dataset for deep learning-based classification

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Md Ahsan Karim, Md Tanjum An Tashrif, Shahariar Hossain Mahir, Md Kowsar Ahmed et al.

Journal: Data in BriefYear: 2026

The Agricultural Multidisciplinary Collection Dataset (AMCD) contains 5,405 JPG images of agricultural crops and flowers collected in Bangladesh. The images are organized into four domains: fruits, vegetables, flowers, and crops/grains. These domains contain 77 subclasses representing commonly obser...

CropAgricultureArtificial intelligenceOpen Access
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