Electrical Engineering: Recent submissions
Now showing items 381-400 of 2623
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Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
( MDPI , 2021 , Article)Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ... -
Synthesis and characterization of Mg-Zn ferrite based flexible microwave composites and its application as SNG metamaterial
( Nature Research , 2021 , Article)In this article, we propose SNG (single negative) metamaterial fabricated on Mg-Zn ferrite-based flexible microwave composites. Firstly, the flexible composites are synthesized by the sol-gel method having four different ... -
Tribo-mechanical properties evaluation of HA/TiO2/CNT nanocomposite
( Nature Research , 2021 , Article)In this study, a combination of reverse microemulsion and hydrothermal techniques were used to synthesize HA. A hydrothermal method was used to synthesize HA/TiO2/CNT nanocomposite powders. Cold and hot isostatic pressing ... -
Brain mr image enhancement for tumor segmentation using 3d u-net
( MDPI , 2021 , Article)MRI images are visually inspected by domain experts for the analysis and quantification of the tumorous tissues. Due to the large volumetric data, manual reporting on the images is subjective, cumbersome, and error prone. ... -
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 ... -
"Quad-band flexible magnesium zinc ferrite (MgZnFe2O4)-based double negative metamaterial for microwave applications"
( Elsevier , 2021 , Article)This article presents vertically coupled, rectangular complementary split-ring resonator-shaped quad-band double-negative (DNG) metamaterial unit cells, that is, having both negative permittivity and permeability, which ... -
Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array
( Nature Research , 2022 , Article)In this paper, proposes a microwave brain imaging system to detect brain tumors using a metamaterial (MTM) loaded three-dimensional (3D) stacked wideband antenna array. The antenna is comprised of metamaterial-loaded with ... -
Inductively tuned modified split ring resonator based quad band epsilon negative (ENG) with near zero index (NZI) metamaterial for multiband antenna performance enhancement
( Nature Research , 2021 , Article)An inductively tuned modified split-ring resonator-based metamaterial (MTM) is presented in this article that provides multiple resonances covering S, C, X, and Ku-bands. The MTM is designed on an FR-4 substrate with a ... -
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations
( Elsevier , 2021 , Article)Background: Diabetic Sensorimotor polyneuropathy (DSPN) is one of the major indelible complications in diabetic patients. Michigan neuropathy screening instrumentation (MNSI) is one of the most common screening techniques ... -
Motion Artifacts Correction from EEG and fNIRS Signals Using Novel Multiresolution Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Physiological signal measurement and processing are increasingly becoming popular in the ambulatory setting as the hospital-centric treatment is moving towards wearable and ubiquitous monitoring. Most of the physiological ... -
COVID-19 infection map generation and detection from chest X-ray images
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ... -
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) ... -
Finite Element Analysis of the Mechanism of Traumatic Aortic Rupture (TAR)
( Hindawi Limited , 2020 , Article)As many as 80% of patients with TAR die on the spot while out of those reaching a hospital, 30% would die within 24 hours. Thus, it is essential to better understand and prevent this injury. The exact mechanics of TAR are ... -
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
( MDPI , 2022 , Article)A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging ... -
Numerical and Experimental Investigation of Infrared Optical Filter Based on Metal Oxide Thin Films for Temperature Mitigation in Photovoltaics
( Springer , 2022 , Article)Various metal oxide thin films, including TiO2, SnO2, MoO3, and NiO, grown by the electron-beam evaporation process, have been optimized for implementation as multilayered structures for infrared (IR) filter-based photonic ... -
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Electroencephalogram (EEG) signals suffer substantially from motion artifacts when recorded in ambulatory settings utilizing wearable sensors. Because the diagnosis of many neurological diseases is heavily reliant on clean ... -
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Radiographic images are commonly used to detect aseptic loosening of the hip implant in patients with total hip replacement (THR) surgeries. These techniques of manual assessment by medical professionals can suffer from ... -
A Review and Analysis of the Effects of Colors of Light On the Performance of Solar Photovoltaic Panels
( Penerbit UTHM , 2022 , Article)Solar energy is quite simple as the energy can be obtained from the sun directly. Solar energy is categorized as one of the best renewable energy since it does not emit carbon dioxide and because of unlimited supports from ... -
Enhance data availability and network consistency using artificial neural network for IoT
( Springer , 2022 , Article)IoT networks have become famous and utilized in many industries such as agriculture, medical, manufacture, and others due to their efficiency and productivity. WSN is an IoT network used for smart farming and smart health ... -
Biosignal time-series analysis
( Elsevier , 2022 , Book chapter)In this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate ...