[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Effective diagnosis of heart disease through neural networks ensembles

R Das, I Turkoglu, A Sengur - Expert systems with applications, 2009 - Elsevier
In the last decades, several tools and various methodologies have been proposed by the
researchers for developing effective medical decision support systems. Moreover, new …

An expert system for detection of breast cancer based on association rules and neural network

M Karabatak, MC Ince - Expert systems with Applications, 2009 - Elsevier
This paper presents an automatic diagnosis system for detecting breast cancer based on
association rules (AR) and neural network (NN). In this study, AR is used for reducing the …

Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling

R Jammazi, C Aloui - Energy Economics, 2012 - Elsevier
Oil price prediction has usually proved to be an intractable task due to the intrinsic
complexity of oil market mechanism. In addition, the recent oil shock and its consequences …

Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

C Bilim, CD Atiş, H Tanyildizi, O Karahan - Advances in Engineering …, 2009 - Elsevier
In this study, an artificial neural networks study was carried out to predict the compressive
strength of ground granulated blast furnace slag concrete. A data set of a laboratory work, in …

Estimation of compressive strength of self compacting concrete containing polypropylene fiber and mineral additives exposed to high temperature using artificial …

M Uysal, H Tanyildizi - Construction and Building Materials, 2012 - Elsevier
In this study, an artificial neural network model for compressive strength of self-compacting
concretes (SCCs) containing mineral additives and polypropylene (PP) fiber exposed to …

Determination of compressive strength of perlite-containing slag-based geopolymers and its prediction using artificial neural network and regression-based methods

EH Alakara, S Nacar, O Sevim, S Korkmaz… - Construction and Building …, 2022 - Elsevier
This study has two main objectives:(i) to investigate the parameters affecting the
compressive strength (CS) of perlite-containing slag-based geopolymers and (ii) to predict …

Computer-aided diagnosis system for early prediction of atherosclerosis using machine learning and K-fold cross-validation

B Cherradi, O Terrada, A Ouhmida… - 2021 international …, 2021 - ieeexplore.ieee.org
Atherosclerosis known as coronary artery disease (CAD) becomes epidemic in any society
that relies on an industrial-technological system with an associated behavioral alteration in …

Key factors in achieving Service Level Agreements (SLA) for Information Technology (IT) incident resolution

AK Swain, VR Garza - Information Systems Frontiers, 2023 - Springer
In this paper, we analyze the impact of various factors on meeting service level agreements
(SLAs) for information technology (IT) incident resolution. Using a large IT services incident …

[PDF][PDF] Supervised machine learning based medical diagnosis support system for prediction of patients with heart disease

O Terrada, S Hamida, B Cherradi… - Advances in Science …, 2020 - researchgate.net
Application in the field of medical development has always been one of the most important
research areas. One of these medical applications is the early prediction system for heart …