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ICON 2019 - International Scientific Tendinopathy Symposium Consensus: There are nine core health-related domains for tendinopathy (CORE DOMAINS): Delphi study of healthcare professionals and patients
(
BMJ Publishing Group
, 2020 , Conference Paper)
Background The absence of any agreed-upon tendon health-related domains hampers advances in clinical tendinopathy research. This void means that researchers report a very wide range of outcome measures inconsistently. As ...
Intelligent Transportation System: Application of Telematics Data for Road Safety
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
Road safety is a growing concern as the number of vehicles on road increase yearly. Road related accidents is within the top ten cause of death globally and number one cause of death for youth between the ages of 19-29 ...
Optimal Production Planning Strategy for Deteriorating Items in Terms of Emission Tax, Pollution, and R&D Investment
(
Springer Science and Business Media B.V.
, 2018 , Conference Paper)
Firms are faced with the question of what policies to implement to ensure efficient abatement behavior? In this paper, we aim to determine the optimal production rate and the optimal investment rate in pollution abatement ...
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 ...
Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures
(
Springer
, 2023 , Conference Paper)
A structural damage detection system specifically designed to monitor multiple structures at a network level is introduced in this paper. Such a monitoring system improves resiliency and helps manage the operation and ...
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, ...