Electrical Engineering: المرسلات الحديثة
السجلات المعروضة 281 -- 300 من 2649
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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 ... -
A Hardware Based Ricean Fading Radio Channel Simulator
( IEEE Xplore , 2017 , Conference Paper)The rise of the need of fading radio channel simulators is due to time and cost of field tests of wireless communications systems. Growth in the demand for fixed wireless access increases the need for wide area system ... -
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, ... -
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge ... -
Impact of surface coating on electrochemical and thermal behaviors of a Li-rich Li1.2Ni0.16Mn0.56Co0.08O2 cathode
( Royal Society of Chemistry , 2020 , Article)Lithium-rich layered oxide materials are considered as potential cathode materials for future high-performance lithium-ion batteries (LIBs) owing to their high operating voltage and relatively high specific capacity. ... -
Virtual and Augmented Reality in Surgery
( Springer , 2020 , Book chapter)To provide an overview of the novel applications of Augmented Reality (AR) and Virtual Reality (VR) technologies within the realm of Surgery. This chapter will clarify the concepts associated with AR and VR in the context ... -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
( Elsevier , 2024 , Article)The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ... -
SELF-ORGANIZED RESIDUAL BLOCKS FOR IMAGE SUPER-RESOLUTION
( IEEE Computer Society , 2021 , Conference Paper)It has become a standard practice to use the convolutional networks (ConvNet) with RELU non-linearity in image restoration and super-resolution (SR). Although the universal approximation theorem states that a multi-layer ... -
BM3D VS 2-LAYER ONN
( IEEE Computer Society , 2021 , Conference Paper)Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient methods such as BM3D remain a popular choice, ... -
Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
( MDPI , 2023 , Article)Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ... -
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
( IEEE Computer Society , 2023 , Article)Objective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, ... -
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
( IEEE Computer Society , 2022 , Conference Paper)Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ... -
Improved Domain Adaptation Approach for Bearing Fault Diagnosis
( IEEE Computer Society , 2022 , Conference Paper)Application of domain adaptation techniques to predictive maintenance of modern electric rotating machinery (RM) has significant potential with the goal of transferring or adaptation of a fault diagnosis model developed ... -
SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION
( IEEE Computer Society , 2022 , Conference Paper)The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ... -
Representation based regression for object distance estimation
( Elsevier , 2023 , Article)In this study, we propose a novel approach to predict the distances of the detected objects in an observed scene. The proposed approach modifies the recently proposed Convolutional Support Estimator Networks (CSENs). CSENs ... -
Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral mapping
( Elsevier , 2023 , Article)Gathering properly labeled, adequately rich, and case-specific data for successfully training a purely data-driven or hybrid model for structural health monitoring (SHM) applications is a challenging task. We posit that a ... -
D2DLive: Iterative live video streaming algorithm for D2D networks
( Elsevier , 2023 , Article)Smart healthcare system incorporates new technologies making healthcare more efficient and more convenient. Virtual consultations provide interactions with healthcare professionals via video technology, which lessens the ... -
Medical image analysis
( Elsevier , 2022 , Book chapter)This chapter presents deep learning methodologies for medical imaging tasks. The chapter starts with echocardiography for early detection of myocardial infarction (MI) or commonly known as heart attack. Early and fundamental ... -
SELF-ORGANIZED VARIATIONAL AUTOENCODERS (SELF-VAE) FOR LEARNED IMAGE COMPRESSION
( IEEE Computer Society , 2021 , Conference Paper)In end-to-end optimized learned image compression, it is standard practice to use a convolutional variational autoencoder with generalized divisive normalization (GDN) to transform images into a latent space. Recently, ... -
Powerline interference suppression of a textile-insulated capacitive biomedical sensor using digital filters
( Elsevier , 2023 , Article)This research evaluated a textile-insulated capacitive (TEX-C) biomedical sensor insulated by six types of textile materials namely cotton, linen, rayon, nylon, polyester, and PVC-textile. Each textile material creates a ...
