Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Mohd Shareduwan Mohd Kasihmuddin"'
Autor:
Nurul Atiqah Romli, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin, Nur Ezlin Zamri, Nur 'Afifah Rusdi, Gaeithry Manoharam, Mohd. Asyraf Mansor, Siti Zulaikha Mohd Jamaludin, Amierah Abdul Malik
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 22321-22365 (2024)
Evaluating behavioral patterns through logic mining within a given dataset has become a primary focus in current research. Unfortunately, there are several weaknesses in the research regarding the logic mining models, including an uncertainty of the
Externí odkaz:
https://doaj.org/article/bb96c96566734319b76d8d1981cc994f
Autor:
Vikneswari Someetheram, Muhammad Fadhil Marsani, Mohd Shareduwan Mohd Kasihmuddin, Siti Zulaikha Mohd Jamaludin, Mohd. Asyraf Mansor
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 6, Pp 2582-2594 (2024)
As global climates undergo changes, the frequency of water-related disasters rises, leading to significant economic losses and safety hazards. During flood events, river water levels exhibit unpredictable fluctuations, introducing considerable noise
Externí odkaz:
https://doaj.org/article/60f94f949afa4fe8a918f849359296b7
Autor:
Gaeithry Manoharam, Azleena Mohd Kassim, Suad Abdeen, Mohd Shareduwan Mohd Kasihmuddin, Nur 'Afifah Rusdi, Nurul Atiqah Romli, Nur Ezlin Zamri, Mohd. Asyraf Mansor
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 12090-12127 (2024)
Currently, the discrete Hopfield neural network deals with challenges related to searching space and limited memory capacity. To address this issue, we propose integrating logical rules into the neural network to regulate neuron connections. This app
Externí odkaz:
https://doaj.org/article/05c48455aa084713811f3a30d4fa5ed5
Autor:
Muhammad Aqmar Fiqhi Roslan, Nur Ezlin Zamri, Mohd. Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin
Publikováno v:
AIMS Mathematics, Vol 8, Iss 9, Pp 22447-22482 (2023)
Discrete Hopfield Neural Network is widely used in solving various optimization problems and logic mining. Boolean algebras are used to govern the Discrete Hopfield Neural Network to produce final neuron states that possess a global minimum energy so
Externí odkaz:
https://doaj.org/article/5354213442994eaaa10a07ca3b48964a
Autor:
Ju Chen, Yuan Gao, Mohd Shareduwan Mohd Kasihmuddin, Chengfeng Zheng, Nurul Atiqah Romli, Mohd. Asyraf Mansor, Nur Ezlin Zamri, Chuanbiao When
Publikováno v:
Mathematics, Vol 12, Iss 5, p 721 (2024)
The primary objective of introducing metaheuristic algorithms into traditional systematic logic is to minimize the cost function. However, there is a lack of research on the impact of introducing metaheuristic algorithms on the cost function under di
Externí odkaz:
https://doaj.org/article/fe84538dc29f4969baf5ad490e59f470
Autor:
Mohd Shareduwan Mohd Kasihmuddin, Nur Shahira Abdul Halim, Siti Zulaikha Mohd Jamaludin, Mohd. Asyraf Mansor, Alyaa Alway, Nur Ezlin Zamri, Siti Aishah Azhar, Muhammad Fadhil Marsani
Publikováno v:
Journal of ICT, Vol 22, Iss 3 (2023)
Online shopping is a multi-billion-dollar industry worldwide. However, several challenges related to purchase intention can impact the sales of e-commerce. For example, e-commerce platforms are unable to identify which factors contribute to the high
Externí odkaz:
https://doaj.org/article/4e0eeda1e941419d8b1020d5a377faea
Autor:
Siti Zulaikha Mohd Jamaludin, Nurul Atiqah Romli, Mohd Shareduwan Mohd Kasihmuddin, Aslina Baharum, Mohd. Asyraf Mansor, Muhammad Fadhil Marsani
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9011-9027 (2022)
Mining the best logical rule from the data is a challenging task because not all attribute of the dataset will contribute towards the optimal logical representation. Even if the correct attributes were selected, wrong logical connection in the logica
Externí odkaz:
https://doaj.org/article/a36bbe28161d4d2980272acb3bc0eb95
Autor:
Nur 'Afifah Rusdi, Mohd Shareduwan Mohd Kasihmuddin, Nurul Atiqah Romli, Gaeithry Manoharam, Mohd. Asyraf Mansor
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 5, Pp 101554- (2023)
In the perspective of logic mining, the attribute selection, and the objective function of the best logic is the two main factors that identifies the effectiveness of our proposed logic mining model. The non-significant attributes selected will cause
Externí odkaz:
https://doaj.org/article/90a5c00c71244e00ba3a39ef80f5cc66
Autor:
Gaeithry Manoharam, Mohd Shareduwan Mohd Kasihmuddin, Siti Noor Farwina Mohamad Anwar Antony, Nurul Atiqah Romli, Nur ‘Afifah Rusdi, Suad Abdeen, Mohd. Asyraf Mansor
Publikováno v:
Mathematics, Vol 11, Iss 9, p 2121 (2023)
Choosing the best attribute from a dataset is a crucial step in effective logic mining since it has the greatest impact on improving the performance of the induced logic. This can be achieved by removing any irrelevant attributes that could become a
Externí odkaz:
https://doaj.org/article/18620871a09a4718acefa8e0bf5dbd56
Autor:
Syed Anayet Karim, Nur Ezlin Zamri, Alyaa Alway, Mohd Shareduwan Mohd Kasihmuddin, Ahmad Izani Md Ismail, Mohd. Asyraf Mansor, Nik Fathihah Abu Hassan
Publikováno v:
IEEE Access, Vol 9, Pp 50831-50845 (2021)
A conventional systematic satisfiability logic suffers from a nonflexible logical structure that leads to a lack of interpretation. To resolve this problem, the advantage of introducing nonsystematic satisfiability logic is important to improve the f
Externí odkaz:
https://doaj.org/article/f22f3e670c53489baa0b502d423a9b56