Browsing College of Engineering by Author "Ayari, Mohamed Arselene"
Now showing items 1-11 of 11
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Application of Green Polymeric Nanocomposites for Enhanced Oil Recovery by Spontaneous Imbibition from Carbonate Reservoirs
( 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 Framework for Liver Segmentation from T1-Weighted MRI Images
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ... -
Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection
( 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
( 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
( 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
( 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 ... -
Mitigation of urban voids in traditional neighborhoods: The case of the Al-Najada zone in Doha, Qatar
( Elsevier , 2023 , Article)Urban voids and leftover spaces challenge the urban development of cities and result in land vacancy and other spatial planning issues. Such spaces have great potential for innovative intervention through piece-by-piece ... -
Modeling of permeability impairment dynamics in porous media: A machine learning approach
( 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 ... -
Robust and General Model to Forecast the Heat Transfer Coefficient for Flow Condensation in Multi Port Mini/Micro‐Channels
( 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, ... -
Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters
( Elsevier , 2023 , Article)According to UNESCO's Atlas of the World's Languages in Danger, 40% of the languages today are counted as endangered in the future. Indigenous languages are endangered because of the less availability of interactive learning ... -
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When ...
