• Examining the influence of deterrent and enhancement factors on QR-code mobile payment continuance intention: insights from PLS-SEM and IPMA analysis 

  Rahman, Ashikur; Farid, Fahmid al; Bashar, Mohammad Abul; Uddin, Jia; Mahmud, Arif; Karim, Hezerul Abdul (Scopus, 2026-01-22)

  Introduction: The rise of contactless payment has made quick response (QR) code-mobile payment (QR-MP) platform increasingly popular among mobile financial service (MFS) users, especially in emerging economies. It has ...
• Experimental and DFT studies on energy storage efficiency of Ag+ doped barium titanate thin films (Ba1-xAgxTiO3 (x = 0.00, 0.10, 0.20)) 

  Itas, Yahaya Saadu; Lariski, Fatima Musa; Khandaker, Mayeen Uddin; Rayyes, Ali El-; Benabdallah, Faiza (Scopus, 2026-01)

  The current study investigated the energy storage capacity of Ag+ doped two-dimensional (2D) barium titanate perovskite, using combinations of experimental theoretical techniques. Data from electrochemical impedance spectra ...
• Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis 

  Sakib, Abdullah Al; Swapno, Sm Masfequier Rahman; Ahamed, Fahim; Mohiuddin, Arafath Bin; Bhuiyan, Md Imranul Hoque; Khan, Shakil; Khushbu, Katura Gania; Haque, Rezaul; Alahmadi, Tahani Jaser; Moni, Mohammad Ali (Scopus, 2026-12)

  Objectives: To develop and evaluate a hybrid, partially interpretable deep learning (DL) approach for multi-class skin cancer classification that improves robustness under varying acquisition conditions and delivers ...
• Explainable AI for breast cancer detection: Biglycan biomarker classification with transfer learning 

  Islam, Md. Mominul; Akter, Naime; Assaduzzaman, Md.; Shimul, Md. Monir Hossain; Sarker, Rahmatul Kabir Rasel (Scopus, 2026-03)

  Background Breast cancer is a leading global cause of cancer-related mortality, where early diagnosis is essential for improved survival outcomes. Although deep learning has shown strong performance in pathology image ...
• Explainable AI for Customer Churn Prediction in the Energy Sector Using Ensemble Machine Learning Models 

  Mamun, Abdullah Al; Tanoor, Md Fazla Saim; Masum, Abdul Kadar Muhammad; Bhuiyan, Touhid; Hassan, Md. Maruf (Scopus, 2026-07-04)

  : Customer churn prediction is crucial for energy providers to preserve revenue and market share in a competitive setting. This research explores implementing explainable AI (XAI) in customer churn prediction with machine ...

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