Results 61 to 70 of about 267,347 (270)
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Recent advances and applications of deep learning methods in materials science
npj Computational Materials, 2022 Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data modalities.
Kamal Choudhary +12 more
doaj +1 more source
A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges
IEEE Access, 2022 In the last decade, Deep Learning (DL) has revolutionized the use of artificial intelligence, and it has been deployed in different fields of healthcare applications such as image processing, natural language processing, and signal processing.
Abdullah A. Abdullah +2 more
doaj +1 more source
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks [PDF]
, 2018 This paper proposes DeepMarks, a novel end-to-end framework for systematic fingerprinting in the context of Deep Learning (DL). Remarkable progress has been made in the area of deep learning.
Chen, Huili +2 more
core +1 more source
Cognitive Deficit of Deep Learning in Numerosity
, 2018 Subitizing, or the sense of small natural numbers, is an innate cognitive function of humans and primates; it responds to visual stimuli prior to the development of any symbolic skills, language or arithmetic.
Shu, Xiao, Wu, Xiaolin, Zhang, Xi
core +1 more source
Clinical, histological, and serological predictors of renal function loss in lupus nephritis.
Arthritis Care &Research, Accepted Article.Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
Deep Learning Solutions for TanDEM-X-based Forest Classification
, 2019 In the last few years, deep learning (DL) has been successfully and massively employed in computer vision for discriminative tasks, such as image classification or object detection.
Mazza, Antonio, Sica, Francescopaolo
core +1 more source
Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties
Advanced Functional Materials, EarlyView.Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon +7 more
wiley +1 more source
DeepSecure: Scalable Provably-Secure Deep Learning [PDF]
, 2017 This paper proposes DeepSecure, a novel framework that enables scalable execution of the state-of-the-art Deep Learning (DL) models in a privacy-preserving setting. DeepSecure targets scenarios in which neither of the involved parties including the cloud
Koushanfar, Farinaz +2 more
core +1 more source
MCR-DL: Mix-and-Match Communication Runtime for Deep Learning
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023 In recent years, the training requirements of many state-of-the-art Deep Learning (DL) models have scaled beyond the compute and memory capabilities of a single processor, and necessitated distribution among processors. Training such massive models necessitates advanced parallelism strategies to maintain efficiency.
Anthony, Quentin +7 more
openaire +2 more sources