Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Kilimci, Zeynep Hilal"'
This research introduces a novel approach, MBO-NB, that leverages Migrating Birds Optimization (MBO) coupled with Naive Bayes as an internal classifier to address feature selection challenges in text classification having large number of features. Fo
Externí odkaz:
http://arxiv.org/abs/2401.10270
Autor:
Kilimci, Zeynep Hilal, Yalcin, Mustafa
Anticancer peptides (ACPs) are a class of molecules that have gained significant attention in the field of cancer research and therapy. ACPs are short chains of amino acids, the building blocks of proteins, and they possess the ability to selectively
Externí odkaz:
http://arxiv.org/abs/2401.02124
Soil temperature is one of the most significant parameters that plays a crucial role in glacier energy, dynamics of mass balance, processes of surface hydrological, coaction of glacier-atmosphere, nutrient cycling, ecological stability, the managemen
Externí odkaz:
http://arxiv.org/abs/2311.11626
Heart disease, also known as cardiovascular disease, is a prevalent and critical medical condition characterized by the impairment of the heart and blood vessels, leading to various complications such as coronary artery disease, heart failure, and my
Externí odkaz:
http://arxiv.org/abs/2310.12630
Autor:
Karakaya, Onur, Kilimci, Zeynep Hilal
Anticancer peptides (ACPs) are a group of peptides that exhibite antineoplastic properties. The utilization of ACPs in cancer prevention can present a viable substitute for conventional cancer therapeutics, as they possess a higher degree of selectiv
Externí odkaz:
http://arxiv.org/abs/2309.12058
Speech emotion recognition is a challenging task in speech processing field. For this reason, feature extraction process has a crucial importance to demonstrate and process the speech signals. In this work, we represent a model, which feeds raw audio
Externí odkaz:
http://arxiv.org/abs/2307.02820
Determination of mispronunciations and ensuring feedback to users are maintained by computer-assisted language learning (CALL) systems. In this work, we introduce an ensemble model that defines the mispronunciation of Arabic phonemes and assists lear
Externí odkaz:
http://arxiv.org/abs/2301.01378
Autor:
Kilimci, Zeynep Hilal1 zeynep.kilimci@kocaeli.edu.tr, Küçükmanisa, Ayhan2 ayhan.kucukmanisa@kocaeli.edu.tr
Publikováno v:
Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2024, Vol. 39 Issue 4, p2177-2186. 10p.
Stock market prediction has been an important topic for investors, researchers, and analysts. Because it is affected by too many factors, stock market prediction is a difficult task to handle. In this study, we propose a novel method that is based on
Externí odkaz:
http://arxiv.org/abs/2107.00931
Publikováno v:
In Applied Acoustics January 2024 215