Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Tarik Rashid"'
Autor:
Tarik Rashid, Salar J. Abdulhameed
Publikováno v:
Engineering and Technology Journal, Vol 32, Iss 8, Pp 1931-1941 (2014)
Support vector machines (SVMs) are a non-probabilistic binary linear classifier in machine learning techniques and are supervised learning algorithms that classify, predict, recognise and analyse patterns. This technique was developed in early 1990s.
Externí odkaz:
https://doaj.org/article/f7d21ce31aca4aac93317f385bde90ad
Autor:
Hardi Mohammed, Tarik Rashid
Publikováno v:
Applied Intelligence. 53:1030-1050
This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer (FOX) which mimics the foraging behavior of foxes in nature when hunting prey. The algorithm is based on techniques for measuring the distance between the fox
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6259715b111b792eb94270a69b9ac77a
https://doi.org/10.1007/s10489-022-03533-0
https://doi.org/10.1007/s10489-022-03533-0
Autor:
Tarik Rashid, Rebwar Khalid Hamad
Publikováno v:
Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022) ISBN: 9789464631098
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1d345738eb7a15879498d01dfbfb196
https://doi.org/10.2991/978-94-6463-110-4_13
https://doi.org/10.2991/978-94-6463-110-4_13
Publikováno v:
Computers; Volume 12; Issue 1; Pages: 11
Fifteen Puzzle problem is one of the most classical problems that have captivated mathematical enthusiasts for centuries. This is mainly because of the huge size of the state space with approximately 1013 states that have to be explored and several a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f87539565272c66df927bd1ea48df77
Feature selection can be defined as one of the pre-processing steps that decrease the dimensionality of a dataset by identifying the most significant attributes while also boosting the accuracy of classification. For solving feature selection problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099c51b54bf669ff330f155590e64237
http://arxiv.org/abs/2301.05296
http://arxiv.org/abs/2301.05296
Automated brain tumor detection is becoming a highly considerable medical diagnosis research. In recent medical diagnoses, detection and classification are highly considered to employ machine learning and deep learning techniques. Nevertheless, the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c43ef6ff81308320ed9592a93c65019
http://arxiv.org/abs/2206.04056
http://arxiv.org/abs/2206.04056
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811663314
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::928a5db65327496303259bc8319ce652
https://doi.org/10.1007/978-981-16-6332-1_62
https://doi.org/10.1007/978-981-16-6332-1_62
Publikováno v:
Computational Vision and Bio-Inspired Computing ISBN: 9789811695728
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18425d9bcee2316cf0415c568b24a6b8
https://doi.org/10.1007/978-981-16-9573-5_31
https://doi.org/10.1007/978-981-16-9573-5_31
Autor:
OMED HASSAN AHMED, JOAN LU, ARAM MAHMOOD AHMED, Tarik Rashid, TAMER ABUHMED, ZAHER MUNDHER YASEEN
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa8f78ea998192481c9d8b18796144f2
https://doi.org/10.2139/ssrn.4130228
https://doi.org/10.2139/ssrn.4130228
Advances in telemedicine technologies have offered clinicians greater levels of real-time guidance and technical assistance for diagnoses, monitoring, operations or interventions from colleagues based in remote locations. The topic includes the use o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::097e4b1f95029564f598159172e461df
https://doi.org/10.1049/pbhe023e
https://doi.org/10.1049/pbhe023e