Results 131 to 140 of about 18,492,174 (314)

UIUC-UQ/Deep-Learning-for-Reliability-Analysis: Deep Learning for Accelerated Reliability Analysis of Infrastructure Systems

open access: yes, 2017
Deep Learning for Accelerated Reliability Analysis of Infrastructure ...
Mohammad Amin Nabian
core   +1 more source

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi   +8 more
wiley   +1 more source

Strengthening Arabic Language Learning in Grade VI MI with a Deep Learning Approach: Analysis of Teaching Modules and Their Implications

open access: yesHuRuf Journal
This study aims to analyze the Arabic language teaching module for Grade VI of Madrasah Ibtidaiyah (MI) from the perspective of deep learning. The focus of the study is directed at the alignment of the module components with the principles of deep ...
Riti Hariati Hariati   +3 more
doaj   +1 more source

Interpreting Deep Learning Models

open access: yes, 2020
Model interpretability is a requirement in many applications in which crucial decisions are made by users relying on a model's outputs. The recent movement for “algorithmic fairness” also stipulates explainability, and therefore interpretability of ...
Liu, Xuan
core  

Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials

open access: yes, 2018
Deep-learning framework has significantly impelled the development of modern machine learning technology by continuously pushing the limit of traditional recognition and processing of images, speech, and videos.
Yongmin Liu (1751752)   +2 more
core   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie   +8 more
wiley   +1 more source

Norwegian Nurses’ Experiences with Blended Learning: An Evaluation Study

open access: yesSeminar.net, 2012
An increasing number of nurses undertake continuing education via information and communication technologies. Development of best practice, based on students’ own experiences, is vital in order to create the most effective learning environment.
Edda Johansen   +2 more
doaj  

Probabilistic Deep Learning on Spheres for Weather/Climate Applications [PDF]

open access: yes
This work presents the application of a probabilistic approach to an already existing deep learning model for weather and climate prediction. Probabilistic deep learning allows to capture and address the uncertainties related to the data given as input ...
Haddad, Yann Yasser
core  

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera   +20 more
wiley   +1 more source

Deep reinforcement learning: Bridging learning and control in intelligent systems

open access: yes
Deep Reinforcement Learning (DRL) has gained popularity as a new approach in artificial intelligence that successfully integrates representation learning through Deep Learning with decision making in Reinforcement Learning.
Şahin, C. B.   +15 more
core   +1 more source

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