Electrical Engineering
Recent Submissions
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Predicting ICU Mortality Among Septic Patients Using Machine Learning Technique
( MDPI , 2025 , Article)Introduction: Sepsis leads to substantial global health burdens in terms of morbidity and mortality and is associated with numerous risk factors. It is crucial to identify sepsis at an early stage in order to limit its ... -
Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysis
( Springer Science and Business Media Deutschland GmbH , 2025 , Article)Cephalometric analysis is essential for the diagnosis and treatment planning of orthodontics. In lateral cephalograms, however, the manual detection of anatomical landmarks is a time-consuming procedure. Deep learning ... -
Enhancing Influenza Detection through Integrative Machine Learning and Nasopharyngeal Metabolomic Profiling: A Comprehensive Study
( 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 ... -
A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome
( 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 ... -
A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients
( Elsevier , 2025 , Article)Sepsis, a life-threatening condition triggered by the body's response to infection, remains a significant global health challenge, annually affecting millions in the United States alone with substantial mortality and ... -
Cellulose-inspired approaches to sustainable EMI shielding materials: A comprehensive review
( Elsevier , 2024 , Article Review)Electromagnetic induction (EMI) shielding has become essential across various industries to counteract the detrimental impact of EMI on electronic devices and delicate machinery. Traditional EMI shielding materials, ... -
Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills
( Elsevier , 2025 , Article)ObjectiveTo objectively evaluate technical skill acquisition in hypospadias repair procedures during surgical training using noninvasive wearable sensor technology. MethodsWe combined subjective video evaluations with ... -
Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. In this study, ... -
Decoding silent speech: a machine learning perspective on data, methods, and frameworks
( 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 ... -
Deep learning and vision transformers-based framework for breast cancer and subtype identification
( 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 ... -
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
( 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 ... -
Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD
( 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 ... -
A novel deep learning framework for automatic scoring of PD-L1 expression in non-small cell lung cancer.
( 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 ... -
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
( Elsevier , 2020 , Article)The high growth of the automotive industry reveals the very bright future of this technology and its high penetration effects on the human society. No doubt that the random and volatile charging demand of these devices ... -
Multilayer Fractional Slot Pole-Phase Modulated Induction Motor Drives for Traction Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)With the advantage of pole-phase modulation (PPM), the multiphase induction motor drives facilitate the enriched range of speed-torque characteristics with a higher number of pole-phase combinations. In order to achieve ... -
Reduced Switch Count Based Single Source 7L Boost Inverter Topology
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The new inverter topologies based on switched capacitor concept with voltage boosting ability are attractive for the low voltage applications. Such low voltage requirements allow a single-stage dc-ac power conversion, ... -
Switched-capacitor-based boost multilevel inverter topology with higher voltage gain
( Institution of Engineering and Technology , 2020 , Article)This study proposes a new switched-capacitor-based multilevel inverter topology with a single dc voltage source. The proposed topology finds its suitability for renewable energy applications with low voltage. Seven-level ... -
Single-phase hybrid multilevel inverter topology with low switching frequency modulation techniques for lower order harmonic elimination
( John Wiley and Sons Inc , 2020 , Article)A new single-phase asymmetrical multilevel inverter (MLI) is presented in this study. The proposed topology generates a staircase output voltage waveform with a maximum number of levels using less number of components ... -
Message from the RTDPCC 2020 Workshop Chairs
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record. -
Integrative Stacking Machine Learning Model for Small Cell Lung Cancer Prediction Using Metabolomics Profiling
( 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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