Browsing Technology Innovation and Engineering Education Unit by Author "Ayari, Mohamed Arselene"
Now showing items 1-10 of 10
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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; Vaferi, Behzad; Olazar, Martin... 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. ... -
Deep learning techniques for liver and liver tumor segmentation: A review
Gul, Sidra; Khan, Muhammad Salman; Bibi, Asima; Khandakar, Amith; Ayari, Mohamed Arselene; Chowdhury, Muhammad E.H.... more authors ... less authors ( Elsevier , 2022 , Article)Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, ... -
Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection
Behzad, Vaferi; Dehbashi, Mohsen; Khandakar, Amith; Ayari, Mohamed Arselene; Amini, Samira ( Elsevier , 2024 , Article)Zinc oxide (ZnO) nanocomposite sensors decorated with various dopants are popular tools for detecting even low hydrogen (H2) concentrations. The nanocomposite's chemistry, temperature, and H2 concentration impact the success ... -
Differentiation among stability regimes of alumina-water nanofluids using smart classifiers
Daryayehsalameh, Bahador; Ayari, Mohamed Arselene; Tounsi, Abdelouahed; Khandakar, Amith; Vaferi, Behzad ( Techno Press , 2022 , Article)Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, ... -
Explainable deep learning model for automatic mulberry leaf disease classification
Nahiduzzaman, Md; Chowdhury, Muhammad E.H.; Salam, Abdus; Nahid, Emama; Ahmed, Faruque; Al-Emadi, Nasser; Ayari, Mohamed Arselene; Khandakar, Amith; Haider, Julfikar... 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 ... -
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; Islam, Md Rabiul; Khandakar, Amith; Ayari, Mohamed Arselene; Chowdhury, Muhammad E.H.... 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 ... -
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 ... -
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
Hosseini, Saleh; Khandakar, Amith; Chowdhury, Muhammad E.H.; Ayari, Mohamed Arselene; Rahman, Tawsifur; Chowdhury, Moajjem Hossain; Vaferi, Behzad... more authors ... less authors ( Elsevier , 2022 , Article)The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling ... -
Perspectives on food waste management: Prevention and social innovations
Al-Obadi, Muna; Ayad, Hiba; Pokharel, Shaligram; Ayari, Mohamed Arselene ( Elsevier , 2022 , Article Review)Food waste is one of the challenging issues humans are facing. A third of the food produced in the world is wasted at various points along the food supply chain. Food waste can be reduced by developing technology that can ... -
Robust and General Model to Forecast the Heat Transfer Coefficient for Flow Condensation in Multi Port Mini/Micro‐Channels
Hosseini, Seyyed Hossein; Ayari, Mohamed Arselene; Khandakar, Amith A.; Moradkhani, Mohammad Amin; Jowkar, Mehdi; Panahi, Mohammad; Ahmadi, Goodarz; Tavoosi, Jafar... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2022 , Article)A general correlation for predicting the two‐phase heat transfer coefficient (HTC) during condensation inside multi‐port mini/micro‐channels was presented. The model was obtained by correlating the two‐phase multiplier, ...