• Rooftop Solar Power Potential of a Municipal Area in Bangladesh 

  Hamim, Tahzib; Hossain, Md. Iqramul; Baten, Jahlak Tasmia (Scopus, 2024-04-22)

  A nation's economic growth is dependent on reliable, inexpensive energy. Bangladesh, which faces electricity shortages, intends to boost renewable energy alongside fossil fuels. Despite its small land area, the country's ...
• MobileNet-Eye: An Efficient Transfer Learning for Eye Disease Classification 

  Niloy, Golam Mohiuddin; Bitto, Abu Kowshir; Biplob, Khalid Been Md. Badruzzaman; Sammak, Musabbir Hasan; Das, Aka; Hridoy, Golam Gouse (2024-04-22)

  Precisely and promptly diagnosing eye illnesses is crucial for preventing and managing them. Transfer learning shows potential for automatically identifying different eye diseases. This is beneficial for avoiding and ...
• MN1 DN121 Vg19: A Multi-stream Ensemble Model for Detecting External Damage on Tomato Surface 

  Juthy, Most. Jebun Nahar; Tauhid; Hosen, Md. Faruk; Abul Basara, Md.; Aktar, Mst. Nargis; Shahin Uddin, Muhammad (2025-06-12)

  The use of advanced computer vision and powerful deep-learning capabilities is increasingly important in the agricultural industry, particularly for monitoring crops and detecting diseases. However, detecting external ...
• Mitigating Project Failure: Challenges in Developing Effective Building Information Modeling Execution Plans 

  Mahazir, Mashanim; Rahman, Rahimi A.; Zainudin, Nurhaizan Mohd (2024-12-29)

  The successful adoption of Building Information Modelling (BIM) relies on efficiently executing BIM Execution Plans (BEPs). Therefore, developers of BEP have to develop mitigation strategies that ensure the successful ...
• Scratch Vision Transformer Model for Diagnosis Grape Leaf Disease 

  Mamun, Sajib Bin; Ahad, Md. Taimur; Morshed, Md. Monzur; Hossain, Nafiull; Emon, Yousuf Rayhan (Scopus, 2024-06-14)

  Recently, vision transformer has gained significant attention in the field of precision agriculture for its ability to transfer knowledge from pre-trained deep models for downstream tasks, particularly with limited datasets. ...

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