Výsledky vyhledávání

Feature selection using cloud-based parallel genetic algorithm for intrusion detection data classification

Autor: Samed Jukic, Jasmin Kevric, Dino Kečo, Dželila Mehanović, Zerina Mašetić, Adnan Miljković

Publikováno v: Neural Computing and Applications. 33:11861-11873

With the exponential growth of the amount of data being generated, stored and processed on a daily basis in the machine learning, data analytics and decision-making systems, the data preprocessing established itself as the key factor for building rel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dec51db67b2d3bf7953053195dce2343
https://doi.org/10.1007/s00521-021-05871-5

Zobrazit plný text záznamu

Plný text ve formátu HTML

Student Attendance Pattern Detection and Prediction

Autor: Samed Jukic, Ibrahim Muzaferija, Zerina Mašetić, Dino Kečo

Publikováno v: Journal of Engineering and Natural Sciences. 3

Since the early beginnings of education systems, attendance has always played a crucial role in student success, as well as in the overall interest of the matter. The most productive way of increasing the student attendance rate is to understand why

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3376cb64d16e7190ad546852e29d136a
https://doi.org/10.14706/jonsae2021313

Zobrazit plný text záznamu

Comparison of the Wavelet Denoising Methods for Denoising of Phonocardiogram Signal

Autor: Jasmin Kevric, Dželila Mehanović, Zerina Mašetić, Dino Kečo

Publikováno v: IFMBE Proceedings ISBN: 9783030739089

Heart diseases are the number one cause of death all over the world. Many deaths are caused due to late detection of heart diseases. During the process of heart sound recording, beside heart sound, environment noise is being recorded too. In this wor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1700562f589265a0683633e2d12dd5dc
https://doi.org/10.1007/978-3-030-73909-6_37

Zobrazit plný text záznamu

Naive Website Categorization Based on Text Coverage

Autor: Aldin Kovačević, Zerina Mašetić, Dino Kečo

Publikováno v: Advanced Technologies, Systems, and Applications V ISBN: 9783030547646

The amount of websites on the internet has grown tremendously in recent years. With the rapid increase in volume of available World Wide Web resources, a need arises for an efficient and automated website categorization mechanism. This research propo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c99b85827f916cb540cc191c146b9238
https://doi.org/10.1007/978-3-030-54765-3_30

Zobrazit plný text záznamu

Majority vote of machine learning methods for real-time epileptic seizure prediction applied on EEG pediatric data

Autor: Samed Jukic, Medina Bandic, Dino Kečo, Jasmin Kevric

Publikováno v: Neurological Disorders and Imaging Physics, Volume 5 ISBN: 9780750327237

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e85a6e54d3409d60cc5f6345cfe44deb
https://doi.org/10.1088/978-0-7503-2723-7ch1

Zobrazit plný text záznamu

Biometrics Based Access Control System

Autor: Mujo Hadzimehanovic, Dino Kečo, Demir Korac, Herzegovina

Publikováno v: Journal of Natural Sciences and Engineering. 2

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::46482b61277794cce904db803fe444d7
https://doi.org/10.14706/jonsae2020213

Zobrazit plný text záznamu

Short-Term Prediction of Honey Production in Bosnia and Herzegovina using IoT

Autor: Nejdet Dogru, Dino Kečo, Jasmin Kevric, Semir Sakanovic

Publikováno v: MECO

This study presents a short-term prediction approach for honey production using ensemble regression technique. The data were recorded as a part of Habeetat project in Sarajevo, Bosnia and Herzegovina for 2016 season. This season has been entitled as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::37f9021110d09aee9fe2c308a6636ab1
https://doi.org/10.1109/meco.2019.8760012

Zobrazit plný text záznamu

Prediction of Heart Diseases Using Majority Voting Ensemble Method

Autor: Dželila Mehanović, Dino Kečo, Zerina Mašetić

Publikováno v: IFMBE Proceedings ISBN: 9783030179700

Heart disease is the one of the most serious problems in healthcare and affects large number of people. It is very important to detect it on time, otherwise it can cause serious consequences, such as death. In this paper, we applied artificial neural

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c79e2516a9891c686ca1e7043e547b07
https://doi.org/10.1007/978-3-030-17971-7_73

Zobrazit plný text záznamu

Cloud computing-based parallel genetic algorithm for gene selection in cancer classification

Autor: Abdulhamit Subasi, Dino Kečo, Jasmin Kevric

Publikováno v: Neural Computing and Applications. 30:1601-1610

Cancer classification is one of the main steps during patient healing process. This fact enforces modern clinical researchers to use advanced bioinformatics methods for cancer classification. Cancer classification is usually performed using gene expr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::df9ccac85c932df14290d40611e87774
https://doi.org/10.1007/s00521-016-2780-z

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání