[HTML][HTML] Epilepsy Diagnosis from EEG Signals Using Continuous Wavelet Transform-Based Depthwise Convolutional Neural Network Model

F Dişli, M Gedikpınar, H Fırat, A Şengür, H Güldemir… - Diagnostics, 2025 - mdpi.com
Background/Objectives: Epilepsy is a prevalent neurological disorder characterized by
seizures that significantly impact individuals and their social environments. Given the …

Efficient strabismus diagnosis from small samples: Harnessing spatial features for improved accuracy

R Wu, S Liao, Y Ji, X Kui, F Han, Z Hu… - Journal of Biomedical …, 2025 - Elsevier
Strabismus is a common ophthalmological condition, and early diagnosis is crucial to
preventing visual impairment and loss of stereopsis. However, traditional methods for …

A Strabismus Widespread Screening Method Based on Wearable Eye Tracker

Z Zhao, S Li, J Wang, X Li, S Gao - 2024 IEEE BioSensors …, 2024 - ieeexplore.ieee.org
An effective strabismus screening method is highly expected, for locating potential patients
for timely treatment, to avoid further deterioration, eg amblyopia or even permanent vision …

[PDF][PDF] EMPHASIZING DATA QUALITY FOR THE IDENTIFICATION OF CHILI VARIETIES IN THE CONTEXT OF SMART AGRICULTURE.

W Suwarningsih, R Kirana, PH Khotimah… - … Journal of Information …, 2024 - ijikm.org
ABSTRACT Aim/Purpose This research aims to evaluate models from meta-learning
techniques, such as Riemannian Model Agnostic Meta-Learning (RMAML), Model-Agnostic …

Feature Extraction of Gymnastics Images Based on Multi-scale Feature Fusion Algorithm

K Tian, Q Xia - Scalable Computing: Practice and Experience, 2024 - scpe.org
The feature extraction and analysis of gymnastics images is an essential foundation for
estimating human posture. The primary step is to obtain various joint points of athletes …