Electrical Engineering: Recent submissions
Now showing items 281-300 of 2694
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Explainable deep learning model for automatic mulberry leaf disease classification
( Frontiers Media SA , 2023 , Article)Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ... -
Application of Green Polymeric Nanocomposites for Enhanced Oil Recovery by Spontaneous Imbibition from Carbonate Reservoirs
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)This study experimentally investigates the effect of green polymeric nanoparticles on the interfacial tension (IFT) and wettability of carbonate reservoirs to effectively change the enhanced oil recovery (EOR) parameters. ... -
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When ... -
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective ... -
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ... -
Full-Scale Seawater Reverse Osmosis Desalination Plant Simulator
( Elsevier , 2020 , Conference)Reverse Osmosis (RO) is an evolving membrane-based technology for water desalination that started to gain increased popularity in the light of the increased global water demand due its high efficiency and low carbon ... -
A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)In light of the advancement of the technologies used in industrial control systems, securing their operation has become crucial, primarily since their activity is consistently associated with integral elements related to ... -
Collaborative Byzantine Resilient Federated Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Federated learning (FL) enables an effective and private distributed learning process. However, it is vulnerable against several types of attacks, such as Byzantine behaviors. The first purpose of this work is to demonstrate ... -
Indoor Multi-Lingual Scene Text Database with Different Views
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)This paper introduces a database of multi-script (Arabic and English) for indoor scene text detection, taken from different angle-of-view. This database can be used in a variety of real-world applications, such as image ... -
Real-time Imitation of Autonomous MCG Node using Dual ECG Probing IoT Node Suitable for Delivery by UAV
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)The gigantic increase in population, social isolation, and mobility constraint lifestyle since the COVID-19 era has resulted in challenges like remote availability of critical bio-instrumentation like magnetocardiography ... -
Novel Task Allocation Method for Emergency Events under Delay-Cost Tradeoff
( IEEE , 2022 , Conference)With the emergence of three new paradigms, namely the Internet of Things (IoT), cloud/edge computing and mobile social networks; Mobile Crowd Sensing (MCS) has emerged as a potential approach for data collecting in numerous ... -
The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
( Elsevier , 2023 , Article)IntroductionHER-2/neu is a protein present on the surface of specific cancer cells and has been linked to the development and progression of certain cancer types. It is present in 15 to 20% of breast cancers and is clinically ... -
Optimal Energy Dispatch Engine for PV-DG-ESS Hybrid Power Plants Considering Battery Degradation and Carbon Emissions
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Uncertainties in load and solar power forecasting, complex energy storage system (ESS) constraints, and feedback correction pose challenges for very short-term and short-term hybrid power plant scheduling. This paper ... -
Advancing Data Center Networks: A Focus on Energy and Cost Efficiency
( IEEE , 2023 , Article)Data centers serve as the backbone for cloud computing, enterprise services, and infrastructure-based offerings. One area of ongoing research in data center networking focuses on innovating new topologies for large-scale ... -
Modeling and experimental verification of the performance of a skew mounted permanent magnet brushless DC motor drive with parameters computed from 3D-FE magnetic field solutions
( IEEE , 1994 , Article)This paper contains a comparison between actual laboratory-measured performance of a brushless dc motor drive system, with skewed permanent magnet mounts on its rotor, and two computer-simulated motor drive system performance ... -
Teaching Electric Machinery and Associated Electromagnetic Fields-A Case for the Benefits of Academic Computing
( IEEE , 1993 , Article)This paper describes three broad categories of benefits resulting from use of and access to personal computers (PCs) and work stations (WSs) in teaching electric machines and drives. This includes all the electromagnetic ... -
Three dimensional magnetic field computation by a coupled vector-scalar potential method in brushless DC motors with skewed permanent magnet mounts - the no-load and load results
( IEEE , 1994 , Article)The coupled magnetic vector potential-magnetic scalar potential (CMVP-MSP) method of computation of 3D magnetic fields by finite elements (3D-FE), whose theoretical development and formulation were detailed in a companion ... -
Three dimensional magnetic field computation by a coupled vector-scalar potential method in brushless DC motors with skewed permanent magnet mounts - the formulation and FE grids
( IEEE , 1994 , Article)A three dimensional finite element (3D-FE) method for the computation of global distributions of 3D magnetic fields in electric machines containing permanent magnets is presented. The formulation of this 3D-FE method ... -
Coupled vector-scalar potential method for 3D magnetostatic field computations using hexahedral finite elements
( IEEE , 1996 , Article)This paper introduces a three dimensional finite element (3D-FE) method based on a coupled vector-scalar potential formulation. The method is most suited for large-scale magnetostatic field applications containing mixed ... -
Three-dimensional finite element analysis of permanent magnet brushless DC motor drives - Status of the state of the art
( IEEE , 1996 , Article)This paper reviews recent advances in the state of the art of applying three-dimensional finite-element (3-D-FE) magnetic field computation techniques to the analysis and quantification of parameters and performance of ...
