Zobrazeno 1 - 10
of 297
pro vyhledávání: '"Ezugwu Absalom E."'
Autor:
Agushaka Jeffrey O., Ezugwu Absalom E.
Publikováno v:
Journal of Intelligent Systems, Vol 31, Iss 1, Pp 70-94 (2021)
Arithmetic optimization algorithm (AOA) is one of the recently proposed population-based metaheuristic algorithms. The algorithmic design concept of the AOA is based on the distributive behavior of arithmetic operators, namely, multiplication (M), di
Externí odkaz:
https://doaj.org/article/d31c688b4ec0499db42d2469be542655
Autor:
Munien Chanaleä, Ezugwu Absalom E.
Publikováno v:
Journal of Intelligent Systems, Vol 30, Iss 1, Pp 636-663 (2021)
The bin-packing problem (BPP) is an age-old NP-hard combinatorial optimization problem, which is defined as the placement of a set of different-sized items into identical bins such that the number of containers used is optimally minimized. Besides, d
Externí odkaz:
https://doaj.org/article/88c9fcae61b14dd6a4799716260dacce
Autor:
Ezugwu, Absalom E., Ho, Yuh-Shan, Egwuche, Ojonukpe S., Ekundayo, Olufisayo S., Van Der Merwe, Annette, Saha, Apu K., Pal, Jayanta
Machine learning (ML) has transformed numerous fields, but understanding its foundational research is crucial for its continued progress. This paper presents an overview of the significant classical ML algorithms and examines the state-of-the-art pub
Externí odkaz:
http://arxiv.org/abs/2408.01747
Publikováno v:
Journal of Intelligent Systems, Vol 26, Iss 1, Pp 169-184 (2017)
The operational efficacy of the grid computing system depends mainly on the proper management of grid resources to carry out the various jobs that users send to the grid. The paper explores an alternative way of efficiently searching, matching, and a
Externí odkaz:
https://doaj.org/article/77335788e9ce4e258f4fd3fd98b4d75e
Autor:
Ezugwu, Absalom E.
Sustainable development has emerged as a global priority, and industries are increasingly striving to align their operations with sustainable practices. Parallel machine scheduling (PMS) is a critical aspect of production planning that directly impac
Externí odkaz:
http://arxiv.org/abs/2311.12802
Machine learning (ML) has emerged as a prominent field of research in computer science and other related fields, thereby driving advancements in other domains of interest. As the field continues to evolve, it is crucial to understand the landscape of
Externí odkaz:
http://arxiv.org/abs/2308.00855
Autor:
Maistry, Brennon, Ezugwu, Absalom E.
Breast cancer is a prevalent form of cancer among women, with over 1.5 million women being diagnosed each year. Unfortunately, the survival rates for breast cancer patients in certain third-world countries, like South Africa, are alarmingly low, with
Externí odkaz:
http://arxiv.org/abs/2305.19937
Autor:
Ezugwu, Absalom E., Oyelade, Olaide N., Ikotun, Abiodun M., Agushaka, Jeffery O., Ho, Yuh-Shan
In this paper, a critical bibliometric analysis study is conducted, coupled with an extensive literature survey on recent developments and associated applications in machine learning research with a perspective on Africa. The presented bibliometric a
Externí odkaz:
http://arxiv.org/abs/2304.07542
Autor:
Rizk-Allah, Rizk M., Izci, Davut, Ekinci, Serdar, Diabat, Ali, Ezugwu, Absalom E., Abualigah, Laith
Publikováno v:
In International Journal of Electrical Power and Energy Systems November 2024 162
Autor:
Agrawal, Sunilkumar P. a, Jangir, Pradeep b, c, d, e, Abualigah, Laith f, Pandya, Sundaram B. g, Parmar, Anil g, Ezugwu, Absalom E. h, ⁎, Arpita i, Smerat, Aseel j
Publikováno v:
In Results in Engineering March 2025 25