Qatar University Institutional Repository: المرسلات الحديثة
السجلات المعروضة 1 -- 20 من 32399
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A Subspace Search-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization and Application
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)Large-scale constrained multiobjective optimization problems (LSCMOPs) exist widely in science and technology. LSCMOPs pose great challenges to algorithms due to the need to optimize multiple conflicting objectives and ... -
A Learning Algorithm Based on Similarity Identification and Knowledge Transfer for Dynamic Multi-Objective Optimization
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming to tackle dynamic multi-objective ... -
A Dynamic Ensemble Deep Randomized Neural Network Using Deep Autoregressive Features for Wave Height Forecasting with Missing Values
( Institute of Electrical and Electronics Engineers Inc. , 2025 , Article)Wave energy is an essential part of sustainable energy. Precise forecasts of wave height assist in the reliable control of wave energy converters and the intelligent operation of electricity generation. However, the severe ... -
Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)As the global economy develops and people's awareness of environmental protection increases, the efficient scheduling of production lines in workshops has received more and more attention. However, there is very little ... -
A Virtual Domain-Driven Semi-Supervised Hyperbolic Metric Network With Domain-Class Adversarial Decoupling for Aircraft Engine Intershaft Bearings Fault diagnosis
( Institute of Electrical and Electronics Engineers (IEEE) , 2025 , Article)Aircraft engines operate under more demanding and unique environments, which require the inner components to be able to withstand extreme conditions. Intershaft bearings serve as the critical part of power transmission. ... -
Hepato-splanchnic fluxes during exercise in patients with cirrhosis—a pilot study
( American Physiological Society , 2024 , Article)In cirrhotic patients, compromised hepatocyte function combined with disturbed hepatic blood flow could affect hepato-splanchnic substrate and metabolite fluxes and exacerbate fatigue during exercise. Eight cirrhotic ... -
Effects of 12 weeks of upper-body rowing exercise on autonomic cardiovascular control and vascular structure in spinal cord-injured humans
( John Wiley and Sons Inc , 2025 , Article)Spinal cord injury (SCI) is characterized by autonomic cardiovascular dysfunction that may contribute to the three- to fourfold greater risk of heart disease and stroke compared to non-injured individuals. While exercise ... -
A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems
( Institute of Electrical and Electronics Engineers (IEEE) , 2024 , Conference)With the exponential growth of mobile applications, Android systems have become a significant source of big data which provides both vast opportunities and substantial privacy challenges. This makes it essential to adopt ... -
Ensemble deep learning for Alzheimer’s disease characterization and estimation
( Springer Nature , 2024 , Article)Alzheimer’s disease, which is characterized by a continual deterioration of cognitive abilities in older people, is the most common form of dementia. Neuroimaging data, for example, from magnetic resonance imaging and ... -
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 ... -
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-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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...
