Faculty Contributions: المرسلات الحديثة
السجلات المعروضة 321 -- 340 من 19195
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Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The intermittent non-dispatchable power produced by Renewable Energy Sources (RESs) in distribution networks caused additional challenges in load forecasting due to the introduced uncertainties. Therefore, high-quality ... -
Power Density Improvement Due To Rotor Flux Screens In An Srm With A Higher Number Of Rotor Poles Than Stator Poles
( Academy Publishing Center, Arab Academy for Science, Technology and Maritime Transport , 2023 , Article)This paper studies the performance of screened switched reluctance motors (SRMs) with a number of rotor poles higher than the number of stator poles. Flux (conducting) screens are electrically conducting, non-magnetic ... -
Enhanced Diagnostic of Pulmonary Embolism Detection using DenseNet and XGBoost
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)Pulmonary embolism (PE) poses a significant medical challenge, often linked to severe morbidity and mortality rates. This study investigates the effectiveness of machine learning techniques in detecting pulmonary embolism ... -
AI-Assisted RLF Avoidance for Smart EN-DC Activation
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In the first phase of 5G network deployment, User Equipment (UE) will camp traditionally on LTE network. Later on, if the UE requests a 5G service, it will be made to camp simultaneously on LTE and 5G. This dual-camping ... -
Machine Learning Aided Holistic Handover Optimization for Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)In the wake of network densification and multi-band operation in emerging cellular networks, mobility and handover management is becoming a major bottleneck. The problem is further aggravated by the fact that holistic ... -
Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Densification and multi-band operation in 5G and beyond pose an unprecedented challenge for mobility management, particularly for inter-frequency handovers. The challenge is aggravated by the fact that the impact of key ... -
Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Fault diagnosis is turning out to be an intense challenge due to the increasing complexity of the emerging cellular networks. The root-cause analysis of coverage-related network anomalies is traditionally carried out by ... -
Enhanced MDT-based performance estimation for ai driven optimization in future cellular networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Minimization of drive test (MDT) allows coverage estimation at a base station by leveraging measurement reports gathered at the user equipment (UE) without the need for drive tests. Therefore, MDT is a key enabling feature ... -
A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Densification and multi-band operation means inter-frequency handovers can become a bottleneck for mobile user experience in emerging cellular networks. The challenge is aggravated by the fact that there does not exist a ... -
A Data-Driven Framework for Inter-Frequency Handover Failure Prediction and Mitigation
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)With 5G already deployed, challenges related to handover exacerbate due to the dense base station deployment operating on a motley of frequencies. In this paper, we present and evaluate a novel data-driven solution, to ... -
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test ... -
Object Depth and Size Estimation Using Stereo-Vision and Integration with SLAM
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Autonomous robots use simultaneous localization and mapping (SLAM) for efficient and safe navigation in various environments. Light Detection and Ranging (LiDAR) sensors are integral in these systems for object identification ... -
D-RAN: A DRL-Based Demand-Driven Elastic User-Centric RAN Optimization for 6G & Beyond
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)With highly heterogeneous application requirements, 6G and beyond cellular networks are expected to be demand-driven, elastic, user-centric, and capable of supporting multiple services. A redesign of the one-size-fits-all ... -
A Data Driven Framework for QoE-Aware Intelligent EN-DC Activation
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)In emerging 5G networks, User Equipment camps traditionally on 4G network. Later, if the user requests a 5G service, it can simultaneously camp on 4G and 5G using EUTRAN New-Radio Dual-Connectivity (EN-DC) approach. In ... -
Haris: An Advanced Autonomous Mobile Robot for Smart Parking Assistance
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs simultaneous localization and mapping ... -
Optimal Reactive Power Dispatch in ADNs using DRL and the Impact of Its Various Settings and Environmental Changes
( 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 ... -
Perceiving red decreases motor performance over time: A pilot study
( Elsevier , 2015 , Article)IntroductionColors may influence motor performance. ObjectiveThe present study aimed to compare the effects of perception of red and green environments on physical (performance and heart rate) and psychological (perceived ... -
The relative contributions of ACE genotypes on personality traits in Tunisian athletes
( Edizioni Minerva Medica , 2016 , Article)BACKGROUND: The present study attempted to test whether the ACE genotypes can be associated with particular personality traits that can be potentially used as predictors of athletic performance. Eighty seven track and ield ... -
A machine learning-based battery management system for state-of-charge prediction and state-of-health estimation for unmanned aerial vehicles
( Elsevier Ltd , 2023 , Article)Unmanned aerial vehicles (UAVs) are becoming more popular as they start to be utilized in many applications, such as surveillance, agriculture, and military. However, due to their limited battery capacity, a proper battery ... -
A hybrid half-bridge submodule-based DC–DC modular multilevel converter with a single bidirectional high-voltage valve
( John Wiley and Sons Inc , 2023 , Article)Modular Multilevel Converters (MMCs) are promising candidates for high-voltage high-power applications. The main challenge of the MMCs is the zero-frequency operation. To achieve a successful DC–DC conversion process with ...
