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    Browsing Electrical Engineering by Publisher "Multidisciplinary Digital Publishing Institute (MDPI)"

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    Now showing items 1-20 of 24

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        A Path towards Timely VAP Diagnosis: Proof-of-Concept Study on Pyocyanin Sensing with Cu-Mg Doped Graphene Oxide 

        Noorizadeh, Mohammad; Geetha, Mithra; Bensaali, Faycal; Meskin, Nader; Sadasivuni, Kishor K.; Zughaier, Susu M.; Elgamal, Mahmoud; Ait Hssain, Ali... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
        In response to the urgent requirement for rapid, precise, and cost-effective detection in intensive care units (ICUs) for ventilated patients, as well as the need to overcome the limitations of traditional detection methods, ...
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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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        Artificial Intelligence Tools in Pediatric Urology: A Comprehensive Review of Recent Advances 

        Chowdhury, Adiba Tabassum; Salam, Abdus; Naznine, Mansura; Abdalla, Da’ad; Erdman, Lauren; Chowdhury, Muhammad E.H.; Abbas, Tariq O.... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article Review)
        Artificial intelligence (AI) is providing novel answers to long-standing clinical problems, and it is quickly changing pediatric urology. This thorough analysis focuses on current developments in AI technologies that improve ...
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        Balancing Usage Profiles and Benefitting End Users through Blockchain Based Local Energy Trading: A German Case Study 

        Ali, Liaqat; Azim, M. Imran; Ojha, Nabin B.; Peters, Jan; Bhandari, Vivek; Menon, Anand; Tiwari, Vinod; Green, Jemma; Muyeen, S. M.... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
        The electricity market has increasingly played a significant role in ensuring the smooth operation of the power grid. The latest incarnation of the electricity market follows a bottom-up paradigm, rather than a top-down ...
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        A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome 

        Sumon, Md Shaheenur Islam; Hossain, Md Sakib Abrar; Al-Sulaiti, Haya; Yassine, Hadi M.; Chowdhury, Muhammad E.H. ( Multidisciplinary Digital Publishing Institute (MDPI) , 2025 , Article)
        Background/Objectives: Respiratory viruses, including Influenza, RSV, and COVID-19, cause various respiratory infections. Distinguishing these viruses relies on diagnostic methods such as PCR testing. Challenges stem from ...
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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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        Effortless Totem-Pole Converter Control Using a Power Factor Correction Peak Current-Mode Controller 

        Alsalemi, Abdulazeez; Massoud, Ahmed ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
        This paper expands a recently proposed peak current-mode (PCM) control method for a power factor correction (PFC) boost converter to include the totem-pole converter and solves the controller’s compatibility problem with ...
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        Energy Harvesting Using Optimized ZnO Polymer Nanocomposite-Based 3D-Printed Lattice Structure 

        Maurya, Muni Raj; Alhamdi, Mazen; Al-Darwish, Fawziya; Sadek, Faisal; Douglas, Yousef; Karabili, Nawar; Eltayeb, Allaa; Bagherzadeh, Roohollah; Zaidi, Shabi Abbas; Sadasivuni, Kishor Kumar... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
        A 3D-printable polymer can provide an effective solution for developing piezoelectric structures. However, their nanocomposite formulation and 3D printing processability must be optimized for fabricating complex geometries ...
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        Enhancing Efficiency of Grid-Connected Solar Photovoltaic System with Particle Swarm Optimization & Long Short-Term Memory Hybrid Technique 

        Jena, Ramakanta; Dash, Ritesh; Reddy, Kalvakurthi Jyotheeswara; Parida, Prasanta Kumar; Dhanamjayulu, Chittathuru; Swain, Sarat Chandra; Muyeen, S. M.... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
        Maximum Power Point Tracking (MPPT) is a technique used in photovoltaic (PV) systems to maximize the power output from the solar panel by constantly tracking and adjusting the optimal operating point. To achieve this, ...
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        Enhancing Influenza Detection through Integrative Machine Learning and Nasopharyngeal Metabolomic Profiling: A Comprehensive Study 

        Sumon, Md. S.; Hossain, Md S.; Al-Sulaiti, Haya; Yassine, Hadi M.; Chowdhury, Muhammad E. H. ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
        Background/Objectives: Nasal and nasopharyngeal swabs are commonly used for detecting respiratory viruses, including influenza, which significantly alters host cell metabolites. This study aimed to develop a machine learning ...
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        Evading Cyber-Attacks on Hadoop Ecosystem: A Novel Machine Learning-Based Security-Centric Approach towards Big Data Cloud 

        Sharma, Neeraj A.; Kumar, Kunal; Khorshed, Tanzim; Ali, A. B.M.Shawkat; Khalid, Haris M.; Muyeen, S. M.; Jose, Linju... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
        The growing industry and its complex and large information sets require Big Data (BD) technology and its open-source frameworks (Apache Hadoop) to (1) collect, (2) analyze, and (3) process the information. This information ...
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        Evaluation of Different Optimization Techniques and Control Strategies of Hybrid Microgrid: A Review 

        Shezan, Sk A.; Kamwa, Innocent; Ishraque, Md Fatin; Muyeen, S. M.; Hasan, Kazi Nazmul; Saidur, R.; Rizvi, Syed Muhammad; Shafiullah, Md; Al-Sulaiman, Fahad A.... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
        Energy consumption is increasing rapidly; hence, the energy demand cannot be fulfilled using traditional power resources only. Power systems based on renewable energy, including solar and wind, are effective and friendly ...
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        Integrative Stacking Machine Learning Model for Small Cell Lung Cancer Prediction Using Metabolomics Profiling 

        Sumon, Md. Shaheenur Islam; Malluhi, Marwan; Anan, Noushin; AbuHaweeleh, Mohannad Natheef; Krzyslak, Hubert; Vranic, Semir; Chowdhury, Muhammad E. H.; Pedersen, Shona... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
        Background: Small cell lung cancer (SCLC) is an extremely aggressive form of lung cancer, characterized by rapid progression and poor survival rates. Despite the importance of early diagnosis, the current diagnostic ...
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        Investigation of Oscillation and Resonance in the Renewable Integrated DC-Microgrid 

        Habibullah, Mohammad; Mithulananthan, Nadarajah; Shah, Rakibuzzaman; Islam, Md Rabiul; Muyeen, S. M. ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
        This paper assessed the small-signal stability performance of a multi-converter-based direct current microgrid (DCMG). The oscillation and potential interactions between critical modes are evaluated. First, the complete ...
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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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        Optimal Reactive Power Dispatch in ADNs using DRL and the Impact of Its Various Settings and Environmental Changes 

        Zamzam, Tassneem; Shaban, Khaled; Massoud, Ahmed ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
        Modern active distribution networks (ADNs) witness increasing complexities that require efforts in control practices, including optimal reactive power dispatch (ORPD). Deep reinforcement learning (DRL) is proposed to manage ...
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        An Overview of Multilevel Inverters Lifetime Assessment for Grid-Connected Solar Photovoltaic Applications 

        Nyamathulla, Shaik; Chittathuru, Dhanamjayulu; Muyeen, S. M. ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
        Nowadays, due to advancements in power electronic devices as well as the rise in consumer awareness of the need to protect the environment on a global scale, many people are turning to the use of solar photovoltaic (PV) ...
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        Performance Evaluation of Sinusoidal Power Supplies for Ozone Generation in Water Purification Applications 

        Shibl, Mostafa M.; Shouman, Omar; Mahmoud, Ahmed; Massoud, Ahmed M. ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
        Ozone generation is a water disinfection method, superior to chlorine in terms of fewer byproducts and no residual taste. However, its high production cost limits its widespread adoption. This paper designs an ozone ...
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        Research Progress on Aging Prediction Methods for Fuel Cells: Mechanism, Methods, and Evaluation Criteria 

        Tian, Zhuang; Wei, Zheng; Wang, Jinhui; Wang, Yinxiang; Lei, Yuwei; Hu, Ping; Muyeen, S. M.; Zhou, Daming... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
        Due to the non-renewable nature and pollution associated with fossil fuels, there is widespread research into alternative energy sources. As a novel energy device, a proton exchange membrane fuel cell (PEMFC) is considered ...
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        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, ...

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