Results 141 to 150 of about 18,492,174 (314)
Problem-Based Learning and Deep Learning Approach in relation to Self-Directed Learning [PDF]
, 2015 It is widely accepted that a deep learning approach and enhanced Self-Directed Learning skills are benefits of a Problem-Based Learning environment.
Kollerup, Jesper Brøndum
core
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Digital twins in intrusion detection systems based on deep learning [PDF]
This work aims to improve the accuracy of attack detection in software and hardware systems by utilizing a digital twin in the form of an algebraic model within intrusion detection systems (IDSs) based on deep learning neural networks (DNNs).
Yevdokymov, S.O., Letychevskyi, O.O.
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
alessiounisa/Deep-Learning-for-Volatility-Forecasting: Datasets
, 2019 Data for the Deep Learning for Volatility Forecasting research ...
alessiounisa
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 more
wiley +1 more source
The Influence of the Deep Learning Approach on Students' Physics Learning Outcomes
Jurnal Studi Guru dan PembelajaranThis study aims to analyze the effect of a Deep Learning approach combined with Problem-Based Learning (PBL) on students' physics learning outcomes regarding the topic of the First Law of Thermodynamics. The urgency of this research is based on students'
Dina Suardin +5 more
doaj +1 more source
White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram +3 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progressive brain atrophy has now been widely observed in the chronic stages of moderate–severe traumatic brain injury (msTBI), but there is only coarse information regarding its prevalence and magnitude, and whether rate of atrophy accelerates or attenuates across time. We examined these questions in a Canadian inception cohort from
Robin E. A. Green +6 more
wiley +1 more source
A Deep Learning Approach for Malnutrition Detection
International Journal of Online and Biomedical Engineering (iJOE)The timely detection of malnutrition in children is of paramount importance, as it allows for early intervention and treatment. This proactive approach not only prevents further health deterioration but also fosters proper growth, minimizing the long-term consequences of malnutrition, such as stunted growth, impaired cognitive development, and ...
Shilpa Ankalaki +3 more
openaire +1 more source