Results 31 to 40 of about 4,361,783 (305)
Quantum Computing for Pattern Classification [PDF]
, 2014 14 pages, 3 figures, presented at the 13th Pacific Rim International Conference on Artificial ...
Maria Schuld +2 more
openaire +3 more sources
Latent Factors Limiting the Performance of sEMG-Interfaces
Sensors, 2018 Recent advances in recording and real-time analysis of surface electromyographic signals (sEMG) have fostered the use of sEMG human–machine interfaces for controlling personal computers, prostheses of upper limbs, and exoskeletons among others. Despite a
Sergey Lobov +4 more
doaj +1 more source
vinayakumarr/Signal-Processing-and-Pattern-Classification v1
, 2019 Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG ...
Vinayakumar R
core +1 more source
Elderly care: activities of daily living classification with an S band radar
The Journal of Engineering, 2019 Falls in the elderly represent a serious challenge for the global population. To address it, monitoring of daily living has been suggested, with radar emerging to be a useful platform for it due to its various benefits with acceptance and privacy.
Aman Shrestha +7 more
doaj +1 more source
Pattern classification of valence in depression
NeuroImage: Clinical, 2013 Neuroimaging biomarkers of depression have potential to aid diagnosis, identify individuals at risk and predict treatment response or course of illness. Nevertheless none have been identified so far, potentially because no single brain parameter captures the complexity of the pathophysiology of depression.
Habes, I +7 more
openaire +5 more sources
Feature selection for modular GA-based classification [PDF]
, 2004 Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems. Feature selection plays an important role in finding relevant features in classification.
Guan, SU, Zhu, F, Zhu, F., Guan, S.
core +1 more source
Tetromino pattern based accurate EEG emotion classification model
, 2022 Nowadays, emotion recognition using electroencephalogram (EEG) signals is becoming a hot research topic. The aim of this paper is to classify emotions of EEG signals using a novel game-based feature generation function with high accuracy.
Baygin, Mehmet +3 more
core +1 more source
Axioms, 2023 In this work, we address the problem of improving the classification performance of machine learning models, especially in the presence of noisy and outlier data.
Bao Ma, Jun Ma, Guolin Yu
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Negational symmetry of quantum neural networks for binary pattern classification [PDF]
, 2022 Although quantum neural networks (QNNs) have shown promising results in solving simple machine learning tasks recently, the behavior of QNNs in binary pattern classification is still underexplored.
Voiculescu, Irina +3 more
core +1 more source