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Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models
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Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Common carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and ...
Synthesis and photoelectrochemical performance of Co doped SrTiO3 nanostructures photoanode
(
Wiley
, 2023 , Article)
It is pertinent to realize that scientific research indicates that the most promising method for producing H2 is photo electrochemical water splitting through a photo anode. Cobalt-doped SrTiO3 (Co-SrTiO3) composite ...
Full-Scale Seawater Reverse Osmosis Desalination Plant Simulator
(
Elsevier B.V.
, 2020 , Conference Paper)
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 ...
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 ...
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 ...
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 ...
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, ...
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 ...