Results 51 to 60 of about 1,106,758 (269)

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih, Sara Samadzadeh, Charlotte Bereuter, Seyedamirhosein Motamedi, Claudia Chien, Pablo Villoslada, Hadas Stiebel‐Kalish, Nasrin Asgari, Yang Mao‐Draayer, Marius Ringelstein, Joachim Havla, Marco Aurélio Lana Peixoto, Ho Jin Kim, Jacqueline Palace, Maria Isabel Leite, Srilakshmi M. Sharma, Fereshteh Ashtari, Rahele Kafieh, Lekha Pandit, Orhan Aktas, Philipp Albrecht, Letizia Leocani, Itay Lotan, Sasitorn Siritho, Jérôme de Seze, Romain Marignier, Caroline Froment Tilikete, Denis Bernardi Bichuetti, Ivan Maynart Tavares, Ayse Altintas, Anu Jacob, Saif Huda, Ibis Soto de Castillo, Lawrence J. Cook, Michael R. Yeaman, Axel Petzold, Alexander U. Brandt, Friedemann Paul, Frederike C. Oertel, Hanna G. Zimmermann, with the Guthy Jackson Charitable Foundation—International Clinical Consortium and CROCTINO Collaborators   +40 more
wiley   +1 more source

Early Screening of Children With Autism Spectrum Disorder Based on Electroencephalogram Signal Feature Selection With L1-Norm Regularization

Frontiers in Human Neuroscience, 2021
Early screening is vital and helpful for implementing intensive intervention and rehabilitation therapy for children with autism spectrum disorder (ASD).
Shixin Peng, Shixin Peng, Ruyi Xu, Ruyi Xu, Xin Yi, Xin Yi, Xin Hu, Xin Hu, Lili Liu, Lili Liu, Leyuan Liu, Leyuan Liu   +11 more
doaj   +1 more source

Smart Rescue Drones to Find Snowslide Victims [PDF]

, 2018
In the approach of using autonomous robots to find victims on risk zones, there are specific ones that can reach the victims faster, the Unmanned Autonomous Vehicles (UAVs), better known as Drones.
Da Costa Abreu, Marjory, Silveira Silva, Raul   +1 more
core  

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams, Malachi Keo, Jennifer Guo, Daire Daly, Richard Ahern, Kimon Zachary, Gregory Robbins, Rajesh T. Gandhi, Bragi Sveinsson, Adam de Havenon, Kevin N. Sheth, Otto Rapalino, Juan Eugenio Iglesias Gonzales, W. Taylor Kimberly, Shibani S. Mukerji   +14 more
wiley   +1 more source

Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics

Scientific Reports
In educational data mining, educational data extraction and analysis, as well as learning analytics, it is very significant to evaluate the student’s performance in various aspects for enhancing the educational standards.
E. S. Vinoth Kumar, R. Augustian Isaac, P. Sundaravadivel, P. Janaki Ramal   +3 more
doaj   +1 more source

Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

Sensors, 2022
In human activity recognition (HAR), activities are automatically recognized and classified from a continuous stream of input sensor data. Although the scientific community has developed multiple approaches for various sports in recent years, marginal ...
Johannes Link, Timur Perst, Maike Stoeve, Bjoern M. Eskofier   +3 more
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

DeConvolve: Towards Textually Explainable and Human Cognizable Convolutional Networks

Cybernetics and Information Technologies
Convolutional Neural Networks (CNNs) have demonstrated remarkable accuracy and are employed in different applications. However, adding existing CNNs to physics-aware frameworks can distort image features, reducing classification accuracy.
Meeradevi, Haritas Hrishikesh, Bankapure Darshan, Mishra Divyansh   +3 more
doaj   +1 more source

Teaching and learning with Artificial Intelligence

Project Approaches in Engineering Education
Artificial Intelligence (AI) has significant potential to revolutionize teaching and learning methods by providing innovative tools that personalize teaching and make the learning process more efficient. In this way, it is possible to create dynamic scenarios more easily, promoting the evolution of teaching towards a model based on the development of ...
Magalhães, Andreia, Andrade, António
openaire   +1 more source

Artificial Intelligence: Learning and Limitations

WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION, 2020
Artificial Intelligence, IA, is a new technology with enormous potential to change the world forever as we know it. It finds applications in many fields of human activity, including services, industry, education, social networks, transportation, among others.
Alisson Paulo De Oliveira, Hugo Ferreira Tadeu Braga   +1 more
openaire   +1 more source