Zobrazeno 1 - 10 of 31 pro vyhledávání: '"Abdullah Talha KABAKUS"'
1
Akademický článek
A Decade of Progress: A Systematic Literature Review on the Integration of AI in Software Engineering Phases and Activities (2013-2023)
Autor: Usman Khan Durrani, Mustafa Akpinar, Muhammed Fatih Adak, Abdullah Talha Kabakus, Muhammed Maruf Ozturk, Mohammed Saleh
Publikováno v: IEEE Access, Vol 12, Pp 171185-171204 (2024)
The synergy between software engineering (SE) and artificial intelligence (AI) catalyzes software development, as numerous recent studies illustrate an intensified intersection between these domains. This systematic literature review examines the int
Externí odkaz: https://doaj.org/article/81a834cae0c0445abaa8daafcb7dacf2
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2
Akademický článek
An Experimental Performance Comparison of Widely Used Face Detection Tools
Autor: Abdullah Talha KABAKUS
Publikováno v: Advances in Distributed Computing and Artificial Intelligence Journal, Vol 8, Iss 3, Pp 5-12 (2020)
Face detection is the task of detecting faces on photos, videos as well as the streaming data such as a webcam. Face detection, which is a specific type of general-purpose object detection, is a key prerequisite for many other artificial intelligence
Externí odkaz: https://doaj.org/article/d50da70458f349e0bba7e5f82bf2575b
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3
Akademický článek
PyFER: A Facial Expression Recognizer Based on Convolutional Neural Networks
Autor: Abdullah Talha Kabakus
Publikováno v: IEEE Access, Vol 8, Pp 142243-142249 (2020)
Facial expression recognition (FER), one of the most trending research areas of the Human-Machine Interaction, is the task of detecting emotions by analyzing facial expressions and this analysis plays a critical role as it conveys the clearest inform
Externí odkaz: https://doaj.org/article/664a94a6d0e34bdbaa921cacd8a3105d
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4
Akademický článek
A performance evaluation of in-memory databases
Autor: Abdullah Talha Kabakus, Resul Kara
Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 29, Iss 4, Pp 520-525 (2017)
The popularity of NoSQL databases has increased due to the need of (1) processing vast amount of data faster than the relational database management systems by taking the advantage of highly scalable architecture, (2) flexible (schema-free) data stru
Externí odkaz: https://doaj.org/article/edbe14a5266f44528d7c51966f737893
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8
Towards the Importance of the Type of Deep Neural Network and Employment of Pre-trained Word Vectors for Toxicity Detection: An Experimental Study
Autor: Abdullah Talha Kabakus
Publikováno v: Journal of Web Engineering.
As a natural consequence of offering many advantages to their users, social media platforms have become a part of daily lives. Recent studies emphasize the necessity of an automated way of detecting the offensive posts in social media since these ‘
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d2588c5fa28a7d73055e21b7ee3ac4e6
https://doi.org/10.13052/jwe1540-9589.2082
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9
A novel COVID-19 sentiment analysis in Turkish based on the combination of convolutional neural network and bidirectional long-short term memory on Twitter
Autor: Abdullah Talha Kabakus
Publikováno v: Concurrency and computation : practiceexperience. 34(22)
The whole world has been experiencing the COVID-19 pandemic since December 2019. During the pandemic, a new life has been started by necessity where people have extensively used social media to express their feelings, and find information.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1b9375843564ef2a13040466515a3fd
https://pubmed.ncbi.nlm.nih.gov/35539003
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