Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ruholla Jafari-Marandi"'
Autor:
Ruholla Jafari-Marandi
Publikováno v:
Neurocomputing. 434:165-193
Machine learning (ML) employs classification algorithms such as artificial neural networks to make automated decisions. While the proposed solutions have made significant contributions toward improving decision-making efficiency, their effectiveness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0da689bbee5595b5e23c4f85b425d9a
https://doi.org/10.1016/j.neucom.2020.12.063
https://doi.org/10.1016/j.neucom.2020.12.063
Publikováno v:
Neural Computing and Applications. 32:14929-14962
Knowledge-based churn prediction and decision making is invaluable for telecom companies due to highly competitive markets. The comprehensiveness and action ability of a data-driven churn prediction system depend on the effective extraction of hidden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4428748a93e58ec5a46abc818709e83
https://doi.org/10.1007/s00521-020-04850-6
https://doi.org/10.1007/s00521-020-04850-6
Publikováno v:
Journal of Manufacturing Systems. 51:29-41
Additive manufactured (AM) parts are subject to low repeatability compared to their traditional counterparts. The complex Process-Structure-Property relationship that governs the laser-based AM processes calls for advanced analytics approaches for qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cecbc74ec2beceaed43b385b415823a
https://doi.org/10.1016/j.jmsy.2019.02.005
https://doi.org/10.1016/j.jmsy.2019.02.005
Autor:
Seth F. Oppenheimer, Ruholla Jafari-Marandi, Luca Börger, Garrett M. Street, Mark D. Holton, Durham A Norman, Brian K. Smith, Jane E. Dentinger, Bronson K. Strickland, Rory P. Wilson
Publikováno v:
Ecological Modelling. 464:109818
Many studies of animal distributions use habitat and climactic variables to explain patterns of observed space use. However, without behavioral information, we can only speculate as to why and how these characteristics are important to species persis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6183cdb4226bc5389118940af24c192a
https://doi.org/10.1016/j.ecolmodel.2021.109818
https://doi.org/10.1016/j.ecolmodel.2021.109818
Publikováno v:
Measurement. 128:527-536
Fault diagnosis of the rotary machines is investigated through different kinds of signals. However, the literature shows that the vibration signal analysis is the most commonly used and effective approach. This research investigates the engine faults
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c09b728e359e14dd82d0e471abee3b04
https://doi.org/10.1016/j.measurement.2018.04.062
https://doi.org/10.1016/j.measurement.2018.04.062
Publikováno v:
Applied Soft Computing. 72:108-120
It is difficult to overestimate the importance of appropriate breast cancer diagnosis, as the disease ranks second among all cancers that lead to death in women. Many efforts propose data analytic tools that succeed in predicting breast cancer with h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a068b310e97a5fba8347c0d450f93109
https://doi.org/10.1016/j.asoc.2018.07.060
https://doi.org/10.1016/j.asoc.2018.07.060
Publikováno v:
International Journal of Electrical Power & Energy Systems. 100:240-252
In a Shipboard Power System (SPS), faulty components are separated from the rest of the system after the occurrence of faults. In this situation, it is important to quickly restore the power supply to the affected parts of the SPS and reconfigure the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc99bcd57460842540f4657681142ebe
https://doi.org/10.1016/j.ijepes.2018.01.037
https://doi.org/10.1016/j.ijepes.2018.01.037
Publikováno v:
Journal of Computational Design and Engineering, Vol 4, Iss 4, Pp 282-304 (2017)
Classification tasks are an integral part of science, industry, business, and health care systems; being such a pervasive technique, its smallest improvement is valuable. Artificial Neural Network (ANN) is one of the strongest techniques used in many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc65638964278f353c9687ec1f8d76cf
http://www.sciencedirect.com/science/article/pii/S2288430017300155
http://www.sciencedirect.com/science/article/pii/S2288430017300155
Publikováno v:
Applied Energy. 165:393-404
In the past few decades, extensive research has been conducted to develop operation and control strategy for smart buildings with the purpose of reducing energy consumption. Besides studying on single building, it is envisioned that the next generati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d28307f0149bab6b7a676f81286d34f4
https://doi.org/10.1016/j.apenergy.2015.12.088
https://doi.org/10.1016/j.apenergy.2015.12.088
Publikováno v:
International Journal of Shipping and Transport Logistics
International Journal of Shipping and Transport Logistics, 2019
International Journal of Shipping and Transport Logistics, 2019
International audience; Many studies have focused on static vehicle routing problems (VRP) in which all information is known in advance. However, in recent years, the growth of technology has brought about a new range of problems, referred to as dyna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26407e0312fb29cc77a780808da160f4
https://doi.org/10.1504/ijstl.2020.10019040
https://doi.org/10.1504/ijstl.2020.10019040