Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Eris Elianddy Bin Supeni"'
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 298-311 (2024)
Object detection in road scenarios is crucial for intelligent transport systems and autonomous driving, but complex traffic conditions pose significant challenges. This paper introduces Z-You Only Look Once version 8 small (Z-YOLOv8s), designed to im
Externí odkaz:
https://doaj.org/article/a484d38475514a11b7a2475814ea83d5
Autor:
Saad M. Albogami, Mohd Khairol Anuar Bin Mohd Ariffin, Eris Elianddy Bin Supeni, Kamarul Arifin Ahmad
Publikováno v:
Journal of Project Management, Vol 7, Iss 2, Pp 77-94 (2022)
In this paper, a new hybrid AHP and Dempster-Shafer Theory of Evidence is presented for solving the problem of choosing the best project among a list of available alternatives while uncertain risk factors are taken into account. The aim is to minimiz
Externí odkaz:
https://doaj.org/article/7af54d20821243d79788cf7aeb3941bb
Autor:
Mohd Fahmi Bin Mad Ali, Mohd Khairol Anuar Bin Mohd Ariffin, Aidin Delgoshaei, Faizal Bin Mustapha, Eris Elianddy Bin Supeni
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1085 (2023)
A fundamental issue in manufacturing systems is moving a local manufacturer into a supply chain network including wholesalers and retailers. In this research, a 3-phase framework is proposed to determine the food consumption pattern in food supply ch
Externí odkaz:
https://doaj.org/article/e361f84c8a4847f1809b12182ed49566
Autor:
Mohd Fahmi Bin Mad Ali, Mohd Khairol Anuar Bin Mohd Ariffin, Faizal Bin Mustapha, Eris Elianddy Bin Supeni
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3114 (2021)
Transferring a local manufacturing company to a national-wide supply chain network with wholesalers and retailers is a significant problem in manufacturing systems. In this research, a hybrid PCA-K-means is used to transfer a local chocolate manufact
Externí odkaz:
https://doaj.org/article/89349d02d25c4525bca87cdb8c7e1338
Autor:
Saad Muslet Albogami, Mohd Khairol Anuar Bin Mohd Ariffin, Eris Elianddy Bin Supeni, Kamarul Arifin Ahmad
Publikováno v:
Mathematics, Vol 9, Iss 24, p 3225 (2021)
In this paper, a new hybrid AHP and Dempster—Shafer theory of evidence is presented for solving the problem of choosing the best project among a list of available alternatives while uncertain risk factors are taken into account. The aim is to minim
Externí odkaz:
https://doaj.org/article/875518e71f594d9bbac66eadf87b31e0
Autor:
Fahad Kh. A.O.H. Alazemi, Mohd Khairol Anuar Bin Mohd Ariffin, Faizal Bin Mustapha, Eris Elianddy bin Supeni
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2919 (2021)
In manufacturing firms, there are many factors that can affect product completion time in production lines. However, in a real production environment, such factors are uncertain and increase the adverse effects on product completion time. This resear
Externí odkaz:
https://doaj.org/article/d0af045eab404b5cbcce0f9617838dd0
Autor:
Mohamed Ibrahim Khalifa Haloul1 mohdhaloul@gmail.com, Mohd Khairol Anuar bin Mohd Ariffin1,2 khairol@upm.edu.my, Eris Elianddy bin Supeni1 eris@upm.edu.my, Siti Azfanizam binti Ahmad1 azfanizam@upm.edu.my, Munder Bilema3 mondo199131@gmail.com, Mushtaq Ahmad4 ma_5099@yahoo.com
Publikováno v:
UCJC Business & Society Review. 2024 1st Quarter, Issue 80, p300-355. 56p.
Autor:
Fahad Kh A O H Alazemi, Mohd Khairol Anuar Bin Mohd Ariffin, Faizal Bin Mustapha, Eris Elianddy Bin Supeni
Publikováno v:
International Journal of Fuzzy Systems. 24:1669-1695
Autor:
Ali, Mohd Fahmi Bin Mad1 (AUTHOR), Ariffin, Mohd Khairol Anuar Bin Mohd1 (AUTHOR) khairol@upm.edu.my, Delgoshaei, Aidin1 (AUTHOR), Mustapha, Faizal Bin1 (AUTHOR), Supeni, Eris Elianddy Bin1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Mar2023, Vol. 11 Issue 5, p1085. 20p.
Autor:
Albogami, Saad Muslet1 (AUTHOR) gs56815@student.upm.edu.my, Ariffin, Mohd Khairol Anuar Bin Mohd1 (AUTHOR) Khairol@upm.edu.my, Supeni, Eris Elianddy Bin1 (AUTHOR), Ahmad, Kamarul Arifin1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Dec2021, Vol. 9 Issue 24, p3225-3225. 1p.