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    Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization 

    Mubarak, Hamza; Abdellatif, Abdallah; Ahmad, Shameem; Zohurul Islam, Mohammad; Muyeen, S. M.; Abdul Mannan, Mohammad; Kamwa, Innocent... more authors ... less authors ( Elsevier ltd , 2024 , Article)
    The inherent volatility in electricity prices exerts a significant impact on the dynamic nature of the electricity market, shaping the decision-making processes of its stakeholders. Precise Electricity Price Forecasting ...
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    Edge intelligence for network intrusion prevention in IoT ecosystem 

    Mansura, Habiba; Islam, Md. Rafiqul; Muyeen, S.M.; Ali, A.B.M. Shawkat ( Elsevier , 2023 , Article)
    The Internet of Things (IoT) platform allows physical devices to connect directly to the internet and upload data continuously. Insecure access makes IoT platforms vulnerable to different network intrusion attacks. As a ...
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    RamanNet: a generalized neural network architecture for Raman spectrum analysis 

    Ibtehaz, Nabil; Chowdhury, Muhammad E. H.; Khandakar, Amith; Kiranyaz, Serkan; Rahman, M. Sohel; Zughaier, Susu M.... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2023 , Article)
    Raman spectroscopy provides a vibrational profile of the molecules and thus can be used to uniquely identify different kinds of materials. This sort of molecule fingerprinting has thus led to the widespread application of ...
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    Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images 

    Podder, Kanchon Kanti; Alam, Mohammad Kaosar; Siam, Zakaria Shams; Islam, Khandaker Reajul; Dutta, Proma; Mushtak, Adam; Khandakar, Amith; Pedersen, Shona; Chowdhury, Muhammad E.H.... more authors ... less authors ( springer link , 2023 , Article)
    The human eye could be affected with conjunctival melanoma, which indicates a fatal malignant growth of the eye. Being a very rare disease, there exists a lack of related data in the literature. Also, very few studies ...

    Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review 

    Ruba, Sulaiman; Atick Faisal, Md.Ahasan; Hasan, Maram; Chowdhury, Muhammad E.H.; Bensaali, Faycal; Alnabti, Abdulrahman; Yalcin, Huseyin C.... more authors ... less authors ( Elsevier , 2025 , Article)
    BackgroundTranscatheter aortic valve implantation (TAVI) therapy has demonstrated its clear benefits such as low invasiveness, to treat aortic stenosis. Despite associated benefits, still post-procedural complications might ...
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    Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD 

    Faisal, Md Ahasan Atick; Mutlu, Onur; Mahmud, Sakib; Tahir, Anas; Chowdhury, Muhammad E.H.; Bensaali, Faycal; Alnabti, Abdulrahman; Yavuz, Mehmet Metin; El-Menyar, Ayman; Al-Thani, Hassan; Yalcin, Huseyin Cagatay... more authors ... less authors ( Springer Nature , 2025 , Article)
    Abstract: Aortic aneurysms pose a significant risk of rupture. Previous research has shown that areas exposed to low wall shear stress (WSS) are more prone to rupture. Therefore, precise WSS determination on the aneurysm ...
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    A novel deep learning framework for automatic scoring of PD-L1 expression in non-small cell lung cancer. 

    Kabir, Saidul; Chowdhury, Muhammad E H; Sarmun, Rusab; Vranić, Semir; Al Saady, Rafif Mahmood; Rose, Inga; Gatalica, Zoran... more authors ... less authors ( The Association of Basic Medical Sciences , 2025 , Article)
    A critical predictive marker for anti-PD-1/PD-L1 therapy is programmed death-ligand 1 (PD-L1) expression, assessed by immunohistochemistry (IHC). This paper explores a novel automated framework using deep learning to ...
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    Decoding silent speech: a machine learning perspective on data, methods, and frameworks 

    Chowdhury, Adiba Tabassum; Newaz, Mehrin; Saha, Purnata; AbuHaweeleh, Mohannad Natheef; Mohsen, Sara; Bushnaq, Diala; Chabbouh, Malek; Aljindi, Raghad; Pedersen, Shona; Chowdhury, Muhammad E. H.... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2025 , Article Review)
    At the nexus of signal processing and machine learning (ML), silent speech recognition (SSR) has evolved as a game-changing technology that allows for communication without audible voice. This study offers a thorough ...
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    Deep learning and vision transformers-based framework for breast cancer and subtype identification 

    Jahan, Ishrat; Chowdhury, Muhammad E. H.; Vranic, Semir; Al Saady, Rafif Mahmood; Kabir, Saidul; Pranto, Zahid Hasan; Mim, Sabiha Jahan; Nobi, Sadia Farhana... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2025 , Article)
    Breast cancer, marked by uncontrolled cell growth in breast tissue, is the most common cancer among women and a second-leading cause of cancer-related deaths. Among its types, ductal and lobular carcinomas are the most ...
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    Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source 

    Gul, Sania; Khan, Muhammad Salman; Shah, Syed Waqar ( Academic Press , 2023 , Article)
    Reverberations are unavoidable in enclosures, resulting in reduced intelligibility for hearing impaired and non-native listeners and even for the normal hearing listeners in noisy circumstances. It also degrades the ...
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      Chowdhury, Muhammad E.H. (25) Khandakar, Amith (13) Kiranyaz, Mustafa (12) Gabbouj M. (9) ... View More
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      Article (47) Conference (7) Article Review (2) Book chapter (1) Other (1)
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