Electrical Engineering: Recent submissions
Now showing items 1-20 of 2886
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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 ... -
Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The efforts in compressive sensing (CS) literature can be divided into two groups: finding a measurement matrix that preserves the compressed information at its maximum level, and finding a robust reconstruction algorithm. ... -
Operational Support Estimator Networks
( IEEE Computer Society , 2024 , Article)In this work, we propose a novel approach called Operational Support Estimator Networks (OSENs) for the support estimation task. Support Estimation (SE) is defined as finding the locations of non-zero elements in sparse ... -
Real-Time Damage Detection in Fiber Lifting Ropes Using Lightweight Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2025 , Article)The health and safety hazards posed by worn crane lifting ropes mandate periodic inspection for damage. This task is time-consuming, prone to human error, halts operation, and may result in the premature disposal of ropes. ... -
Smart binary phase-coding for pulse-compression radar: An electronic protection technique against repeater jamming
( John Wiley and Sons Inc , 2024 , Article)Nowadays, modern radar systems increase their target detection capabilities by processing pulses coherently. On the other hand, digital radio frequency memory-based modern jammers have the ability to work coherently and ... -
Preface: Surveillance, Prevention, and Control of Infectious Diseases: An AI Perspective
( Springer , 2024 , Article)Infectious diseases pose a significant threat to public health worldwide, requiring constant vigilance, innovative strategies, and rapid responses to mitigate their impact. In recent years, Artificial Intelligence (AI) has ...
