Current mathematical methods used in QSAR/QSPR studies

P Liu, W Long - International Journal of Molecular Sciences, 2009 - mdpi.com
This paper gives an overview of the mathematical methods currently used in quantitative
structure-activity/property relationship (QASR/QSPR) studies. Recently, the mathematical …

Current approaches for choosing feature selection and learning algorithms in quantitative structure–activity relationships (QSAR)

PM Khan, K Roy - Expert opinion on drug discovery, 2018 - Taylor & Francis
Introduction: Quantitative structure-activity/property relationships (QSAR/QSPR) are
statistical models which quantitatively correlate quantitative chemical structure information …

ResNet‐Attention model for human authentication using ECG signals

M Hammad, P Pławiak, K Wang, UR Acharya - Expert Systems, 2021 - Wiley Online Library
Authentication is the process of verifying the claimed identity of the user. Recently, traditional
authentication methods such as passwords, tokens, and so on are no longer used for …

[HTML][HTML] Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma

W Książek, M Gandor, P Pławiak - Computers in Biology and Medicine, 2021 - Elsevier
Hepatocellular carcinoma (HCC) is the most common liver cancer in adults. Many different
factors make it difficult to diagnose in humans.. In this paper, a novel diagnostics approach …

Chemometrics tools in QSAR/QSPR studies: A historical perspective

S Yousefinejad, B Hemmateenejad - Chemometrics and Intelligent …, 2015 - Elsevier
One of the most extended subfields of chemometrics, at least by considering the number of
publications and interested researchers, is QSAR/QSPR. During the time, various improved …

Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals

T Tuncer, S Dogan, GR Naik, P Pławiak - Multimedia Tools and …, 2021 - Springer
Electroencephalogram (EEG) signals have been generally utilized for diagnostic systems.
Nowadays artificial intelligence-based systems have been proposed to classify EEG signals …

Application of regression and neural models to predict competitive swimming performance

A Maszczyk, R Roczniok, M Czuba… - … and Motor Skills, 2012 - journals.sagepub.com
This research problem was indirectly but closely connected with the optimization of an
athlete-selection process, based on predictions viewed as determinants of future successes …

New protocol for quantitative analysis of brain cortex electroencephalographic activity in patients with psychiatric disorders

GM Wojcik, J Masiak, A Kawiak, P Schneider… - Frontiers in …, 2018 - frontiersin.org
The interview is still the main and most important tool in psychiatrist's work. The
neuroimaging methods such as CT or MRI are widely used in other fields of medicine, for …

Analysis of decision-making process using methods of quantitative electroencephalography and machine learning tools

GM Wojcik, J Masiak, A Kawiak… - Frontiers in …, 2019 - frontiersin.org
The electroencephalographic activity of particular brain areas during the decision making
process is still little known. This paper presents results of experiments on the group of 30 …

An inertial Mann forward-backward splitting algorithm of variational inclusion problems and its applications

P Peeyada, R Suparatulatorn, W Cholamjiak - Chaos, Solitons & Fractals, 2022 - Elsevier
In this paper, we introduce the inertial Mann forward-backward splitting algorithm for solving
variational inclusion problem of the sum of two operators, the one is maximally monotone …