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IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques

Ahamed, Md Faysal; Syfullah, Md Khalid; Sarkar, Ovi; Islam, Md Tohidul; Nahiduzzaman, Md; ... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)

Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective ...

Explainable deep learning model for automatic mulberry leaf disease classification

Nahiduzzaman, Md; Chowdhury, Muhammad E.H.; Salam, Abdus; Nahid, Emama; Ahmed, Faruque; ... more authors ... less authors ( Frontiers Media SA , 2023 , Article)

Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ...

Application of Green Polymeric Nanocomposites for Enhanced Oil Recovery by Spontaneous Imbibition from Carbonate Reservoirs

Ahmadi, Yaser; Ayari, Mohamed Arselene; Olfati, Meysam; Hosseini, Seyyed Hossein; Khandakar, Amith; ... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)

This study experimentally investigates the effect of green polymeric nanoparticles on the interfacial tension (IFT) and wettability of carbonate reservoirs to effectively change the enhanced oil recovery (EOR) parameters. ...

Modeling of permeability impairment dynamics in porous media: A machine learning approach

Ahmed, Elrahmani; Al-Raoush, Riyadh I.; Ayari, Mohamed Arselene ( Elsevier , 2023 , Article)

The prediction of clogging and permeability impairment dynamics in porous media is crucial for the optimization of various industrial and natural processes. This paper presents a novel machine learning-based approach for ...