• 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 ...
• Exploring Gardenia jasminoides Seed-Derived Natural Dyes for the Development of Functional Textiles 

  Sarker, Amit; Nizam, Mohammad Eanamul Haque; Morshed, Mainul; Datta, Manoj Kanti; Jiang, Huiyu; Hussain, Fiaz; Khan, Imran Ahmad; Khan, Asfandyar; Jave, Kashif (Scopus, 2026-02-06)

  Natural plant-based resources are rich in bioactive compounds that offer promising alternatives for developing sustainable, functional textiles. This study focuses on the extraction and application of natural dyes from ...
• Spectral analysis of bone-conducted speech using modified linear prediction 

  Ohidujjaman; Hasan, Mahmudul; Zhang, Shiming; Nurul Huda, Mohammad; Shorif Uddin, Mohammad (Daffodil International University, 2024-10-16)

  This paper improves the performance of linear prediction (LP) in precise spectral estimation of bone-conducted (BC) speech. Inherently, BC speech contains a wide spectral dynamic range that causes ill conditioning in the ...
• Exploring Pyridine-Based Schemes: A Comprehensive Review on their Synthesis and Therapeutic Applications 

  Balikai, Amruta M; Kumar, M R Pradeep; Rajagopal, Kalirajan; Alshehri, Mohammed Ali; Rab, Safia Obaidur; Nafady, Mohamed H; Emran, Talha Bin (Scopus, 2026)

  Pyridine and its derivatives are six-membered aromatic rings containing nitrogen, which are abundant in nature and indispensable in studying heterocyclic chemistry. They constitute significant chemical substances with ...
• Assessment of Heavy Metal Accumulation in Commercially Important Spiny Lobster Species from the Bay of Bengal and Implications for Consumer Health Risks 

  Choudhury, Tasrina Rabia; Ahmed, Sumaiya; Riad, Syed; Antu, Durjoy Raha; Ahmed, Md. Rasel; Mustafa, Tonima; Chowdhury, Tanzina Iveen; Khan, Shahidur R.; Rahman, M. Safiur (Scopus, 2026-04)

  This study assessed heavy metal contamination and associated health risks in spiny lobsters (Panulirus polyphagus, Panulirus homarus, Panulirus ornatus, and Panulirus versicolor) collected from the coastal waters of ...
• Fabrication of Acacia-Waste-Charcoal-Printed Cotton Fabric for the Development of Functional Textiles—A Sustainable Approach 

  Rizwan, Maham; Khan, Imran Ahmad; Javed, Kashif; Bibi, Nusrat; Sarkar, Amit; Morshed, Mainul; Khan, Asfandyar; Shafi, Arslan; Khan, Raja Muhammad Asif; Hussain, Fiaz (Scopus, 2026-02-27)

  The textile industry is seeking alternative coloration methods to comply with the global demands for eco-friendly and non-hazardous dyes, as synthetic colorants are costly and substantially toxic in nature, having deleterious ...
• Factors Affecting the Incidence of Diarrhoeal Disease Among Children Under 2 Years in Remote Village Area of Bangladesh 

  Chowdhury, Md Mazharul Haque; Khandker, Salamat; Chowdhury, Md Azharul Haque; Hossain, Md Kamrul; Rahman, S M Mahmudur (Scopus, 2026-01)

  Background: Diarrhoeal disease remains a major public health concern for children under 2 years of age, particularly in rural and remote areas of Bangladesh. This study aimed to determine the incidence of diarrhoea and ...
• Factors associated with and socioeconomic inequalities in underweight, overweight and obesity among adults aged 18–49 years in Lesotho: Evidence from the 2023–2024 Demographic and Health Survey 

  Mazumder, Ananna; Chakraborty, Promit Ananyo; Gupta, Arpan Das; Haider, Shams Shabab; Gupta, Rajat Das (Scopus, 2026-01-20)

  The coexistence of underweight and overweight/obesity within populations presents a major public health concern for low- and middle-income countries undergoing rapid nutrition transition. In Lesotho, limited evidence exists ...
• Factors Associated With Knowledge, Attitudes, and Practices Regarding Functional Foods Among the Adult Population: A Cross-Sectional Survey in Bangladesh 

  Mazumdar, Sanaullah; Adnan, Md Moshiuzzaman; Shuvo, Suvasish Das; Kamal, Md Mostafa; Tarannum, Rehenuma; Siddika, Sumaiya; Khuku, Tanjum Kabir; Hossain, Md Sakhawot; Shanto, Md Rakibul Hasan (Scopus, 2026)

  Background and aims: Functional foods (FF) may contribute to achieving both longer and healthier life expectancy. However, knowledge, attitudes, and practices (KAP) regarding FF remain unexplored in Bangladesh. Therefore, ...
• Factors influencing consumers’ attitudes and the moderating role of social influence in the banking industry 

  Tanchangya, Tipon; Mamun, Mohammad Abdullah Al; Akter, Tania; Hossain, Balayet; AbdulBaten, AbulKhair Mohammed; Islam, Naimul; Alam, Md. Karimul (Scopus, 2025-12-25)

  It is now more important to comprehend customer attitude as digital transformation changes financial services around the world, particularly in hybrid banking environments. This research identifies the key factors reshaping ...
• Feature Detection-Based Era Identification Using Deep Learning 

  Hasan, Md. Samaun; Shahnawaz, A. K. M. (Scopus, 2026-03-13)

  This study presents a hybrid deep learning framework that integrates sparse visual cues with advanced computer vision techniques to enable robust, real-time detection, recognition, and classification of historical monuments. ...
• Gold nanoparticles incorporated into halloysite nanotubes modified electrode for the amperometric determination of L-cysteine in serum samples 

  Prathipa, V.; Meenakshi, S.; Sasikala, R.; Malathy, D.; Pandian, K.; Gopinath, Subash C. B. (Scopus, 2026)

  Gold nanoparticles incorporated on the aminopropyltrimethoxysilane functionalized halloysite nanotubes (AuNPs@APTMS/HNT) were synthesized and effectively detected L-Cysteine (L-CySH) concentration in serum samples. Analysis ...
• Green and Stabilized Nanogold in Eucheuma Seaweed for Reactive Azo Catalysis 

  Wan, Hong; Alam, Mohammad Jahidul; Habib, Sania; Liu, Huihong; Mahmud, Sakil (Scopus, 2026-04-16)

  Gold nanoparticles (AuNPs) possess unique properties, making them highly versatile for various applications, though their large-scale synthesis remains challenging. This article reports the biosynthesis of AuNPs using ...
• Enhancing Walking Safety for Overweight Individuals in Urban Neighborhoods Using Wearable Sensors and Deep Learning Algorithms 

  Sikandar, Tasriva; Izzeldin, I. Mohd; Ghazali, Kamarul Hawari; Rahman, S. A. M. Matiur; Rabbi, Mohammad Fazle (Scopus, 2026)

  Overweight individuals are often overstressed due to fear of fall when encountering variation in walking surfaces. Encouraging overweight individuals to adopt an active lifestyle through exercise and recreational walk have ...
• The Effect of a Low-Carbohydrate Diet on Periodontal Health and Inflammation in Patients with Type 2 Diabetes 

  S Bagde, Hiroj; K Alam, Mohammad; A Alhamwan, Abdullah Khalid; H Aljubab, Hamed Muhanned; A Alrashedi, Faisal Fraih; M Aljameeli, Dhari Hameed; G Sghaireen, Mohammed (Daffodil International University, 2024-02-16)

  Background: The interaction between type 2 diabetes and periodontal disease underscores the importance of exploring dietary interventions that could mitigate inflammation and improve periodontal health in diabetic ...
• The Biggest Global Issues Facing Humankind: A Meta-Analysis of Poverty Alleviation and Poverty Eradication 

  Aminul Islam, Md.; Muneerali Thottoli, Mohammed; Abdullah, ABM; Salha Tunku Ahmad, Tunku; Rahman, Shafiqur (Daffodil International University, 2023-09-24)

  This study conducted a comprehensive literature review on global poverty alleviation and eradication. A structured literature review (SLR) was employed, collecting 955 articles from the Scopus database spanning from 1990 ...

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