Electrical Engineering
Recent Submissions
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Smart Binary Phase-Coding With Doppler Compensation: An Electronic Protection Technique Against Repeater Jamming
( John Wiley and Sons Ltd , 2025 , Article)Today, modern radar systems increase their target detection capabilities by processing pulses coherently. If these radars do not take precautions against the Doppler frequency shift caused by the moving target, their ... -
BRSR-OpGAN: Blind radar signal restoration using operational generative adversarial network
( Elsevier , 2025 , Article)Many studies on radar signal restoration in the literature focus on isolated restoration problems, such as denoising over a certain type of noise, while ignoring other types of artifacts. Additionally, these approaches ... -
Sound-to-Vibration Transformation for Sensorless Motor Health Monitoring
( Institute of Electrical and Electronics Engineers Inc. , 2026 , Article)Automatic detection of motor failures, such as bearing faults, is essential for predictive maintenance across various industries, as bearing faults alone account for up to 51% of motor failures. While vibration-based ... -
Classification of glioma grade and Ki-67 level prediction in MRI data: A SHAP-driven interpretation
( Elsevier , 2025 , Article)This study focuses on artificial intelligence-driven classification of glioma and Ki-67 leveling using T2w-FLAIR MRI, exploring the association of Ki-67 biomarkers with deep learning (DL) features through explainable ... -
Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning
( Elsevier , 2025 , Article)ObjectiveTo develop and evaluate a deep learning framework for automatic kidney and fluid segmentation in renal ultrasound images, aiming to enhance diagnostic accuracy and reduce variability in hydronephrosis assessment. ... -
Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices
( wiley , 2022 , Book chapter)This chapter discusses the applications and challenges of implantable devices for heart failure (HF) monitoring, as well as their prospects and limitations, and lists some of the data sets recently collected from wearable ... -
How consistent is the interpretation of renal scarring in pediatric patients using technetium-99m dimercaptosuccinic acid scintigraphy
( Springer Nature , 2025 , Article)Background: Technetium-99m dimercaptosuccinic acid (DMSA) scintigraphy plays a critical role in pediatric imaging for detecting renal cortical scarring, which is essential for diagnosing and managing kidney damage in ... -
Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition
( Elsevier , 2026 , Article)Surface-enhanced Raman spectroscopy (SERS) is a powerful, label-free technique for pathogen detection; however, its broader adoption in clinical diagnostics is hindered by inconsistent spectral quality across portable and ... -
State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches
( IEEE , 2024 , Article)Precise estimation of both state-of-charge (SoC) and state-of-health (SoH) is crucial for optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and reliability, where machine learning ... -
Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty
( IEEE , 2025 , Article)Accurate state-of-charge (SoC) estimation is crucial for enhancing the performance, longevity, safety, and reliability of lithium-ion batteries (LiBs) in electric vehicles (EVs). This study presents a comprehensive machine ... -
State-of-Charge Estimation Using Triple Forgetting Factor Adaptive Extended Kalman Filter for Battery Energy Storage Systems in Electric Bus Applications
( IEEE , 2025 , Article)The transport sector has been moving toward electrification due to the significant advancement in E-mobility technology. This prioritizes reliable and safe battery energy storage system (BESS) operation. Therefore, accurate ... -
Enhancing Grid Stability through Grid-Interactive Efficient Buildings with Deep Reinforcement Learning: Innovations and Challenges
( IEEE , 2024 , Conference)Integrating Deep Reinforcement Learning (DRL) into building energy management systems presents a transformative approach to enhancing grid stability and efficiency. Grid-Interactive Efficient Buildings (GEBs), equipped ... -
PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue
( IEEE , 2025 , Article)This article introduces a comprehensive frame-work for Post-Disaster Search and Rescue (PDSR), aiming to optimize search and rescue operations leveraging Unmanned Aerial Vehicles (UAVs). The primary goal is to improve the ... -
ONDS: Optimum Node and Data Selection From Constrained IoT for Efficient Online Learning
( IEEE , 2025 , Article)Supervised Machine Learning (ML) models require large amounts of labeled data for training. However, this becomes challenging when dealing with resource- and network-constrained Internet of Things (IoT) devices that collect ... -
State-of-the-Art DC-DC Converters for Satellite Applications: A Comprehensive Review
( Multidisciplinary Digital Publishing Institute (MDPI) , 2025 , Article Review)Future manned and deep space missions require an Electrical Power System (EPS) that can deliver high power while overcoming challenges like weight and volume constraints and the harsh space environment. A variety of DC-DC ... -
Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance
( IEEE , 2025 , Article)Managing fluctuations in wind energy to ensure a stable and reliable energy supply remains a significant challenge in the operation of wind generators. Various solutions have been developed to address this problem and ... -
An Optimal Energy Dispatch Management System for Hybrid Power Plants: PV-Grid-Battery-Diesel Generator-Pumped Hydro Storage
( IEEE , 2024 , Article)Effective real-time energy management strategies are crucial for optimising hybrid power plants, particularly when challenged with integrating Renewable Energy Sources (RESs) and managing their intermittent nature. This ... -
Operation of EVs in hot climates: Modeling of temperature-driven energy consumption including Li-ion battery energy loss
( Elsevier , 2025 , Article)With the increasing adoption of electric bus fleets (E-fleets) in public transportation, accurate energy consumption prediction has become crucial due to the uncertainty and variability in daily operations, especially in ... -
An overview of wide and ultra wide bandgap semiconductors for next-generation power electronics applications
( Elsevier , 2025 , Article Review)High-efficiency power electronic converters are imperative for future applications aiming to meet sustainability goals, as increased efficiency translates to reduced energy consumption. The emerging wide bandgap technology ... -
Bariatric metabolic surgery and cancer risk: Target trial emulation using iterative time distribution matching.
( The Association of Basic Medical Sciences , 2025 , Article)Bariatric metabolic surgery (BMS) is a common intervention for severe obesity, yet its effects on cancer risk remain unclear. Observational studies and meta-analyses yield inconsistent findings, while randomized controlled ...
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