Muhammad Minoar Hossain

According to our database, Muhammad Minoar Hossain authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Enhanced Renewable Energy Consumption Forecasting Leveraging Machine Learning and Statistical Models with XAI Interpretability.

Wazia Haque Onti, Safiul Haque Chowdhury, Muhammad Minoar Hossain, Mohammad Mamun

SN Comput. Sci., June, 2026

Multi-Objective Optimized Differential Privacy with Interpretable Machine Learning for Brain Stroke and Heart Disease Diagnosis.

Mohammed Ibrahim Hussain, Arslan Munir, Safiul Haque Chowdhury, Mohammad Mamun, Muhammad Minoar Hossain

Algorithms, 2026

2025

An Explainable AI-Enhanced Machine Learning Approach for Cardiovascular Disease Detection and Risk Assessment.

Md. Emon Akter Sourov, Md. Sabbir Hossen, Pabon Shaha, Muhammad Minoar Hossain, Md. Sadiq Iqbal

CoRR, July, 2025

Exploring Early Learning Challenges in Children Utilizing Statistical and Explainable Machine Learning.

Mithila Akter Mim, M. R. Khatun, Muhammad Minoar Hossain, Md. Wahidur Rahman, Arslan Munir

Algorithms, 2025

2024

Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain.

Md. Wahidur Rahman, Muhammad Minoar Hossain, Md. Mahedi Hasan, Md. Sadiq Iqbal, Mohammad Motiur Rahman, Khondokar Fida Hasan, Mohammad Ali Moni

IEEE Trans. Artif. Intell., September, 2024

Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach.

Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

J. Imaging, 2024

2023

FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI.

Md. Mahmodul Hasan, Muhammad Minoar Hossain, Mohammad Motiur Rahman, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni

Comput. Biol. Medicine, October, 2023

2022

A combined approach of non-subsampled contourlet transform and convolutional neural network to detect gastrointestinal polyp.

Md. Mahmodul Hasan, Muhammad Minoar Hossain, Shisir Mia, Mohd. Sultan Ahammad, Mohammad Motiur Rahman

Multim. Tools Appl., 2022

Automatic Brain Tumor Detection From MRI Using Curvelet Transform and Neural Features.

Rafid Mostafiz, Mohammad Shorif Uddin, Iffat Jabin, Muhammad Minoar Hossain, Mohammad Motiur Rahman

Int. J. Ambient Comput. Intell., 2022