Md. Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim et al.
Image segmentation, a crucial process of dividing images into distinct parts or objects, has witnessed remarkable advancements with the emergence of deep learning (DL) techniques. The use of layers in deep neural networks, like object form recognition in higher layers and basic edge identification i...
Md Raisul Islam, Md Zakir Hossain Zamil, Md. Eshmam Rayed, Md. Mohsin Kabir et al.
Ensuring product quality and integrity is paramount in the rapidly evolving landscape of industrial manufacturing. Although effective to a certain degree, traditional quality control methods often fail to meet the demands for efficiency, accuracy, and adaptability in today’s fast-paced production en...
Jamin Rahman Jim, Md. Eshmam Rayed, M. F. Mridha, Kamruddin Nur
Lung cancer imaging plays a crucial role in early diagnosis and treatment, where machine learning and deep learning have significantly advanced the accuracy and efficiency of disease classification. This study introduces the Explainable and Lightweight Lung Cancer Net (XLLC-Net), a streamlined convo...
Md. Eshmam Rayed, Jamin Rahman Jim, Md Juniadul Islam, M. F. Mridha et al.
Addressing the global challenge of ensuring a consistent and abundant supply of fresh fruit, particularly in the context of fruit crops, is hindered by the prevalence of plant diseases. These diseases directly impact the quality of fruits, leading to a decline in overall agricultural production. Man...
Md. Eshmam Rayed, Abdullah-Al-Akib, Nazia Alfaz, Sadia Islam Niha et al.
Plant diseases, particularly affecting fruit crops, pose a significant challenge to the worldwide supply of fresh food due to their direct impact on the quality of fruits, resulting in an overall decline in agricultural production. The traditional approach of detecting leaf diseases in fruit plants ...
Iftekhar Anam, N H M Arafat, Md. Eshmam Rayed, M. F. Mridha et al.
Plant diseases like rust and powdery mildew pose serious risks to agriculture worldwide and can have a devastating effect on harvests if they are not identified in time. While powdery mildew damages plants with white or gray powder-like spots, rust causes pustules on leaves and stems that hinder pho...
Hadiur Rahman Nabil, Md. Golam Rabbani Abir, Mst. Moushumi Khatun, Md. Eshmam Rayed et al.
Durjoy Ghosh, Maliha Mehjabin, Md. Eshmam Rayed, M. F. Mridha et al.
Cancer diagnosis has entered an era where precision depends not only on image quality but on the intelligence that interprets it. While deep learning has revolutionized medical imaging, its reliance on centralized data limits collaboration due to privacy constraints and fragmented data ownership. Fe...
Forhan Bin Emdad, Mohammad Ishtiaque Rahman, Hadiur Rahman Nabil, Md. Eshmam Rayed et al.
Objectives: Alzheimer’s disease (AD) remains one of the most prevalent neurodegenerative conditions among older adults, underscoring the urgent need for accurate and ethically grounded early detection methods. Artificial intelligence (AI) techniques, particularly machine learning and deep learning m...
Md. Eshmam Rayed, Jamin Rahman Jim, Abdullah-Al-Akib, M. F. Mridha et al.
M. Khaled, Kazi Atik Foysal, Saida Binta Alam, Md. Eshmam Rayed et al.