Results 31 to 40 of about 106,876 (300)
, 2022 Objective: Parkinson's disease (PD) is a common neurological disorder with variable clinical manifestations and magnetic resonance imaging (MRI) findings.
Baygin, Mehmet +27 more
core +1 more source
Automated EEG Pathology Detection Based on Significant Feature Extraction and Selection
Mathematics, 2023 Neurological diseases are a significant health threat, often presenting through abnormalities in electroencephalogram (EEG) signals during seizures.
Yunning Zhong +3 more
doaj +1 more source
A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars
Sensors, 2022 Identifying accident patterns is one of the most vital research foci of driving analysis. Environmental or safety applications and the growing area of fleet management all benefit from accident detection contributions by minimizing the risk vehicles and ...
Hawzhin Hozhabr Pour +6 more
doaj +1 more source
Automated SAT Problem Feature Extraction using Convolutional Autoencoders
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021 The Boolean Satisfiability Problem (SAT) is the first known NP-complete problem and has a very broad literature focusing on it. It has been applied successfully to various realworld problems, such as scheduling, planning and cryptography. SAT problem feature extraction plays an essential role in this field.
Marco Dalla +2 more
openaire +3 more sources
Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction
, 2023 Microscopic examination of urinary sediments is a common laboratory procedure. Automated image-based classification of urinary sediments can reduce analysis time and costs.
Erten, M +26 more
core +1 more source
Sensors, 2020 Sleep apnea is a common sleep disorder that causes repeated breathing interruption during sleep. The performance of automated apnea detection methods based on respiratory signals depend on the signals considered and feature extraction methods.
Hisham ElMoaqet +4 more
doaj +1 more source
Automated test data generation on the analyses of feature models: A metamorphic testing approach [PDF]
, 2010 This is the post-print version of the Article. The official published version can be accessed from the links below. Copyright © 2010 IEEE.A Feature Model (FM) is a compact representation of all the products of a software product line.
Sergio Segura +11 more
core +1 more source
SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology
IEEE Access, 2019 Automated feature extraction from program source-code such that proper computing resources could be allocated to the program is very difficult given the current state of technology.
Somdip Dey +3 more
doaj +1 more source
Gait feature subset selection by mutual information [PDF]
, 2007 Feature selection is an important pre-processing step for pattern recognition. It can discard irrelevant and redundant information that may not only affect a classifier’s performance, but also tell against system’s efficiency.
Mark S. Nixon +5 more
core +1 more source
Comparison of different feature extraction methods for applicable automated ICD coding
BMC Medical Informatics and Decision Making, 2022 Background Automated ICD coding on medical texts via machine learning has been a hot topic. Related studies from medical field heavily relies on conventional bag-of-words (BoW) as the feature extraction method, and do not commonly use more complicated ...
Zhao Shuai +6 more
doaj +1 more source