Browsing Electrical Engineering by Title
Now showing items 719-738 of 2424
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Deadbeat control with multi-sampling compensation for medium-voltage motor drives by cascaded multi-cell inverter using FPGA based hardware controller
( IEEE , 2011 , Conference Paper)Multi-cell inverter include an array of single-phase inverters capable of handling higher voltage ratings with lower rating power electronics devices. In this paper, a deadbeat control combined with a multi-sampling ... -
Deadbeat current control of qZS based grid-connected multilevel inverter
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)This paper proposes a Current Deadbeat Control (DBC) algorithm for a three-phase 9-cells qZS based Cascaded H-Bridge (CHB) inverter to ensure grid current supply with low THD. The studied topology is considered as a ... -
Decentralized multiuser diversity with opportunistic packet transmission in MIMO wireless sensor networks
( Elsevier , 2013 , Article)In this study, we consider a single-hop wireless sensor network where both the sensor nodes and the controller node have multiple antennas. We focus on single beam opportunistic communication and propose a threshold-based ... -
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
( Elsevier Ltd , 2022 , Article Review)Recently, numerous forecasting models have been reported in the wind power forecasting field, aiming for reliable integration of renewable energy into the electric grid. Decomposition-based hybrid models have gained ... -
Deep and transfer learning for building occupancy detection: A review and comparative analysis
( Elsevier , 2022 , Short Survey)The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ... -
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
( IOP Publishing Ltd , 2021 , Article)Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world. This research focuses on computer-aided analysis of phonocardiogram (PCG) signals based on deep learning that can enable improved and ... -
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
( Springer , 2022 , Article)Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ... -
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ... -
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 ... -
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study
( IEEE , 2023 , Article)Congenital heart defects (CHDs) are a leading cause of death in infants under 1 year of age. Prenatal intervention can reduce the risk of postnatal serious CHD patients, but current diagnosis is based on qualitative criteria, ... -
Deep learning techniques for liver and liver tumor segmentation: A review
( Elsevier , 2022 , Article)Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, ... -
Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images
( springer link , 2023 , Article)The human eye could be affected with conjunctival melanoma, which indicates a fatal malignant growth of the eye. Being a very rare disease, there exists a lack of related data in the literature. Also, very few studies ... -
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario intending to maximize the sum-rate of users. The optimization problem at the IRS is quite ... -
Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey
( Elsevier Ltd , 2022 , Article Review)Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down the spread of the virus in smart cities. To ensure the respect of SD in public areas, visual SD ... -
Degradation analysis in mixed (MAPbI3 and MAPbBr3) perovskite solar cells under thermal stress
( Springer New York LLC , 2019 , Article)The current study provides an insight into the thermal stability of perovskite solar cells (PSCs) and the factors causing their degradation. To this end, a systematic stability study was carried out on n-i-p type perovskite ... -
Degrees of Freedom of the Full-Duplex Asymmetric MIMO Three-Way Channel with Unicast and Broadcast Messages
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)In this paper, we characterize the total degrees of freedom (DoFs) of the full-duplex asymmetric multiple-input multiple- output (MIMO) three-way channel. Each node has a separate-antenna full-duplex MIMO transceiver with ... -
Demand Response in HEMSs Using DRL and the Impact of Its Various Configurations and Environmental Changes
( MDPI , 2022 , Article)With smart grid advances, enormous amounts of data are made available, enabling the training of machine learning algorithms such as deep reinforcement learning (DRL). Recent research has utilized DRL to obtain optimal ... -
Denial-of-service attack on iec 61850-based substation automation system: A crucial cyber threat towards smart substation pathways
( MDPI , 2021 , Article)The generation of the mix-based expansion of modern power grids has urged the utilization of digital infrastructures. The introduction of Substation Automation Systems (SAS), advanced networks and communication technologies ... -
Derivative based inertia emulation of interconnected systems considering phase-locked loop dynamics
( IEEE Computer Society , 2016 , Conference Paper)Recent trend of research is oriented in different methods of emulating the inertia to increase the sustainability of the system. In the case of dynamic performance of power systems especially in frequency control of ... -
Derivative-driven window-based regression method for gas turbine performance prognostics
( Elsevier Ltd , 2017 , Article)The domination of gas turbines in the energy arena is facing many challenges from environmental regulations and the plethora of renewable energy sources. The gas turbine has to operate under demand-driven modes and its ...