Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mehmet Hacibeyoglu"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 23, Iss 4, Pp 951-959 (2020)
The main objective of the hospital facility layout problem is to place the polyclinics, laboratories and radiology units within the predefined boundaries in such way that minimize the movement cost of patients and healthcare staff. Especially in big-
Externí odkaz:
https://doaj.org/article/3cb22a9a0d974931a761fb2865ce7ab5
Publikováno v:
Soft Computing. 24:4941-4957
Rule induction (RI) is one of the known classification approaches in data mining. RI extracts hidden patterns from instances in terms of rules. This paper proposes a logic-based rule induction (LBRI) classifier based on a switching function approach.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd8234d707ac9820d4bda982e518f7b4
https://doi.org/10.1007/s00500-019-04246-2
https://doi.org/10.1007/s00500-019-04246-2
Publikováno v:
Medicalbiological engineeringcomputing. 60(3)
Glaucoma disease is optic neuropathy; in glaucoma, the optic nerve is damaged because the long duration of intraocular pressure can be caused blindness. Nowadays, deep learning classification algorithms are widely used to diagnose various diseases. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3b2e29e60efde40983eac67accb8375
https://pubmed.ncbi.nlm.nih.gov/35080695
https://pubmed.ncbi.nlm.nih.gov/35080695
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering. 3:203-208
The interest in automatic gender classification has increased rapidly, especially with the growth of online social networking platforms, social media applications, and commercial applications . Most of the images shared on these platforms are taken b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25855b195325278ecc01f1649b2a2e0a
https://doi.org/10.18201/ijisae.2018644778
https://doi.org/10.18201/ijisae.2018644778
Autor:
Yusuf Yalcin Ileri, Mehmet Hacibeyoglu
Publikováno v:
International Journal of Machine Learning and Cybernetics. 10:1385-1398
In the highly competitive environment of healthcare industry, managers incorporate patient centered care as a major component in the healthcare mission. Management information systems have gained increasing attention to develop effective plans for pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d816c37387c8abe726c7789476b5654
https://doi.org/10.1007/s13042-018-0820-y
https://doi.org/10.1007/s13042-018-0820-y
Publikováno v:
Arabian Journal for Science and Engineering. 43:7695-7704
Discretization is an important data preprocessing technique used in data mining and knowledge discovery processes. The purpose of discretization is to transform or partition continuous values into discrete ones. In this manner, many data mining class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f251862768d7e5fab1cd99a7266868
https://doi.org/10.1007/s13369-018-3144-z
https://doi.org/10.1007/s13369-018-3144-z
Publikováno v:
Arabian Journal for Science and Engineering. 43:7499-7520
In this study, a novel usage of four metaheuristic approaches Genetic algorithm (GA), Simulated annealing (SA), migrating bird optimization algorithm (MBO) and clonal selection algorithm (CSA) are applied to multidimensional two-way number partitioni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::582a9f0605317207d3b7abff378647ec
https://doi.org/10.1007/s13369-018-3155-9
https://doi.org/10.1007/s13369-018-3155-9
Publikováno v:
Scientific Programming, Vol 2018 (2018)
Multilayer feed-forward artificial neural networks are one of the most frequently used data mining methods for classification, recognition, and prediction problems. The classification accuracy of a multilayer feed-forward artificial neural networks i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a75a429b221fa375e01ac495931b375d
https://doaj.org/article/a40859d17cc646bcb92fd94c0bb903e8
https://doaj.org/article/a40859d17cc646bcb92fd94c0bb903e8
Publikováno v:
Knowledge and Information Systems. 46:599-628
The basic solution for locating an optimal reduct is to generate all possible reducts and select the one that best meets the given criterion. Since this problem is NP-hard, most attribute reduction algorithms use heuristics to find a single reduct wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::459d003c6f8c159780b697d994706cc3
https://doi.org/10.1007/s10115-015-0824-9
https://doi.org/10.1007/s10115-015-0824-9
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 13, Iss 4, Pp 57-64 (2013)
WOS: 000331461300010
Usually a dataset has a lot of reducts finding all of which is known to be an NP hard problem. On the other hand, different reducts of a dataset may provide different classification accuracies. Usually, for every dataset, th
Usually a dataset has a lot of reducts finding all of which is known to be an NP hard problem. On the other hand, different reducts of a dataset may provide different classification accuracies. Usually, for every dataset, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9b90a664ad0c4eba05205a390e0a0e5
https://doi.org/10.4316/aece.2013.04010
https://doi.org/10.4316/aece.2013.04010