Abdul Hamid Rumman, Miah Abdullah Sahriar, Md Tohidul Islam, Kazi Md. Shorowordi et al.
In this study, a novel three-step learning-based machine learning (ML) methodology is developed utilizing 26 000 experimental records from The Perovskite Database Project. A comprehensive set of 29 features encompassing both categorical and numerical data was utilized to train various ML models for ...
Abdul Hamid Rumman, Saimon Mahmud, Nishat Tasnim Mim, Janifa Akter et al.
MXene-based materials exhibit unique electrochemical properties due to their 2D layered structure with high surface areas, making them ideal candidates for electrode materials in advanced electrochemical energy storage systems.
Abdul Hamid Rumman, K. Barua, Shohaib Ibne Monju, Mohd. Rakibul Hasan Abed et al.
Gray-level co-occurrence matrix (GLCM) texture features offer a powerful technique for image analysis in various fields, including medical diagnostics and material classification. This research investigates their efficacy in classifying CoCr-based magnetic thin films—Co84Cr16, Co80Cr16Pt4, Co80Cr16T...
Abdul Hamid Rumman, K. Barua, Shohaib Ibne Monju, A B Emran Salahuddin et al.
Miah Abdullah Sahriar, Abdul Hamid Rumman, Ahammad Ullah, K. Barua et al.
Miah Abdullah Sahriar, Abdul Hamid Rumman, Mohd. Rakibul Hasan Abed, Ahsiur Rahman Nirjhar et al.