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    Browsing by Author "Khandakar, Amith"

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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. ...
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        Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images 

        Hossain, Md Sakib Abrar; Gul, Sidra; Chowdhury, Muhammad E.H.; Khan, Muhammad Salman; Sumon, Md Shaheenur Islam; Bhuiyan, Enamul Haque; Khandakar, Amith; Hossain, Maqsud; Sadique, Abdus; Al-Hashimi, Israa; Ayari, Mohamed Arselene; Mahmud, Sakib; Alqahtani, Abdulrahman... more authors ... less authors ( 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 ...
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        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, ...
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        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 ...
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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; 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 ...
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        QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model 

        Tawsifur, Rahman; Khandakar, Amith; Abir, Farhan Fuad; Faisal, Md Ahasan Atick; Hossain, Md Shafayet; Podder, Kanchon Kanti; Abbas, Tariq O.; Alam, Mohammed Fasihul; Kashem, Saad Bin; Islam, Mohammad Tariqul; Zughaier, Susu M.; Chowdhury, Muhammad E.H.... more authors ... less authors ( Elsevier , 2022 , Article)
        The reverse transcription-polymerase chain reaction (RT-PCR) test is considered the current gold standard for the detection of coronavirus disease (COVID-19), although it suffers from some shortcomings, namely comparatively ...
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        Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters 

        Kanchon Kanti, Podder; Emdad Khan, Ludmila; Chakma, Jyoti; Chowdhury, Muhammad E.H.; Dutta, Proma; Salam, Khan Md Anwarus; Khandakar, Amith; Ayari, Mohamed Arselene; Bhawmick, Bikash Kumar; Islam, S M Arafin; Kiranyaz, Serkan... more authors ... less authors ( 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 ...
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        Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model 

        Podder, Kanchon Kanti; Ezeddin, Maymouna; Chowdhury, Muhammad E.H.; Sumon, Md Shaheenur Islam; Tahir, Anas M.; Ayari, Mohamed Arselene; Dutta, Proma; Khandakar, Amith; Mahbub, Zaid Bin; Kadir, Muhammad Abdul... more authors ... less authors ( 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 ...
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        Wearable Real-Time Epileptic Seizure Detection and Warning System 

        Chowdhury, Muhammad E.H.; Khandakar, Amith; Alzoubi, Khawla; Mohammed, Aisha; Taha, Safaa; Omar, Aya; Islam, Khandaker R.; Rahman, Tawsifur; Md. Shafayet, Hossain; Islam, Mohammad T.; Reaz, Mamun Bin Ibne... more authors ... less authors ( Springer International Publishing , 2022 , Book chapter)
        Epilepsy is an unpredictable neuronal brain disorder, affecting approximately 70 million people. It is characterized by seizures resulting in the patient losing the capability of controlling his/her actions. Besides being ...

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