Results 151 to 160 of about 118,488 (274)

Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging. [PDF]

PLOS Digit Health
Hoebel KV, Lemay A, Campbell JP, Ostmo S, Chiang MF, Bridge CP, Li MD, Singh P, Coyner AS, Kalpathy-Cramer J.   +9 more
europepmc   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

An adaptive multi-scale spatio-temporal graph network for robust MOOC dropout prediction. [PDF]

Sci Rep
Duan Y, Chen X.
europepmc   +1 more source

A Dropout Predictor System in MOOCs Based on Neural Networks

Journal of Automation, Mobile Robotics and Intelligent Systems, 2021
Khaoula Mrhar, Otmane Douimi, Mounia Abik   +2 more
openaire   +2 more sources

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

The future of epilepsy care in the United Kingdom: A roadmap for technology‐enabled transformation

Epilepsia Open, EarlyView.
Abstract Epilepsy is recognized to be a significant cause of premature mortality, socio‐economic distress and poor quality of life in economically developed countries. Despite clear clinical guidelines, epilepsy care is marked by delayed diagnosis, fragmented management, high emergency admission rates, and pronounced health inequalities affecting rural
John R. Terry, Rohit Shankar
wiley   +1 more source

Techniques for mitigating overfitting in machine learning: a comprehensive review, taxonomy, and practical guide. [PDF]

Front Artif Intell
Sheppert AP.
europepmc   +1 more source

Leptin Reduces Running in a Rodent Anorexia Nervosa Model via a Distributed Neural Network

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Hyperactivity is a persistent and clinically relevant symptom in anorexia nervosa (AN). Hyperactivity is inversely correlated with leptin levels. While systemic leptin administration attenuates hyperactivity in rodent models, the specific brain regions mediating this effect remain unclear.
Nick J. M. Papavoine, Melissa N. Veendijk, Jessie Nijman, Mieneke C. M. Luijendijk, Inge G. Wolterink‐Donselaar, Frank J. Meye, Roger A. H. Adan   +6 more
wiley   +1 more source

Interpreting artificial neural networks to detect genome-wide association signals for complex traits. [PDF]

NAR Genom Bioinform
Yelmen B, Alver M, Güler MN, Estonian Biobank Research Team, Jay F, Milani L.   +5 more
europepmc   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source