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    Enabling Open Innovation in Digital Startups through the Incubation Program-A Case of Qatar 

    Al Sharif, Reem; Pokharel, Shaligram; Ayari, Mohamed A.; Essam, Marwa; Aqeel, Salwa ( MDPI , 2022 , Article)
    Researchers have studied open innovation by focusing primarily on big organizations. With digitization, the adoption of open innovation has become widespread, as there is broader access to cheaper and better information ...
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    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 ...
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    Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature 

    Khandakar, Amith; Mahmud, Sakib; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Kiranyaz, Serkan; Mahbub, Zaid B.; Ali, Sawal H.; Bakar, Ahmad Ashrif A.; Ayari, Mohamed A.; Alhatou, Mohammed; Abdul-Moniem, Mohammed; Faisal, Md A.... more authors ... less authors ( MDPI , 2022 , Article)
    An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for ...
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    Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model 

    Najmi, Maryam; Ayari, Mohamed A.; Sadeghsalehi, Hamidreza; Vaferi, Behzad; Khandakar, Amith; Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Jawhar, Zanko H.... more authors ... less authors ( MDPI , 2022 , Article)
    Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects. Supercritical CO2 (carbon dioxide) is a well-known ...
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    Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal 

    Chowdhury, Moajjem H.; Shuzan, Md N.; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Mahmud, Sakib; Al Emadi, Nasser; Ayari, Mohamed A.; Ali, Sawal H.; Bakar, Ahmad Ashrif A.; Rahman, Syed M.; Khandakar, Amith... more authors ... less authors ( MDPI , 2022 , Article)
    Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ...
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    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, ...
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    A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images 

    Khandakar, Amith; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Ali, Sawal H.; Kiranyaz, Serkan; Rahman, Tawsifur; Chowdhury, Moajjem H.; Ayari, Mohamed A.; Alfkey, Rashad; Bakar, Ahmad Ashrif A.; Malik, Rayaz A.; Hasan, Anwarul... more authors ... less authors ( MDPI , 2022 , Article)
    Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ...
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    A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals 

    Mahmud, Sakib; Ibtehaz, Nabil; Khandakar, Amith; Tahir, Anas M.; Rahman, Tawsifur; Islam, Khandaker R.; Hossain, Md S.; Rahman, M. S.; Musharavati, Farayi; Ayari, Mohamed A.; Islam, Mohammad T.; Chowdhury, Muhammad E. H.... more authors ... less authors ( MDPI , 2022 , Article)
    Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several ...
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    Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies 

    Wang, Jing; Ayari, Mohamed A.; Khandakar, Amith; Chowdhury, Muhammad E. H.; Uz Zaman, Sm A.; Rahman, Tawsifur; Vaferi, Behzad... more authors ... less authors ( MDPI , 2022 , Article)
    Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ...
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    PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms 

    Ibtehaz, Nabil; Mahmud, Sakib; Chowdhury, Muhammad E. H.; Khandakar, Amith; Salman Khan, Muhammad; Ayari, Mohamed A.; Tahir, Anas M.; Rahman, M. S.... more authors ... less authors ( MDPI , 2022 , Article)
    Cardiovascular diseases are one of the most severe causes of mortality, annually taking a heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the most viable option, but this demands an ...
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    Author
      Ayari, Mohamed A. (12) Khandakar, Amith (12) Chowdhury, Muhammad E. H. (9) Ayari, Mohamed Arselene (7) ... View More
    Type
      Article (21) Article Review (1)
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      deep learning (3) Deep learning (2) Machine learning (2) machine learning (2) ... View More
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      2022 (15) 2023 (4) 2021 (2) 2024 (1)
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      2023 (13) 2024 (7) 2022 (2)
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