Mohd Shareduwan Mohd Kasihmuddin

Orcid: 0000-0001-9125-1101

Affiliations:
  • Universiti Sains Malaysia, Penang, Malaysia


According to our database1, Mohd Shareduwan Mohd Kasihmuddin authored at least 20 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
J-type random 2, 3 satisfiability: a higher-order logical rule in discrete hopfield neural network.
Evol. Intell., 2024

A modified reverse-based analysis logic mining model with Weighted Random 2 Satisfiability logic in Discrete Hopfield Neural Network and multi-objective training of Modified Niched Genetic Algorithm.
Expert Syst. Appl., 2024

Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave Height.
CoRR, 2024

Dual optimization approach in discrete Hopfield neural network.
Appl. Soft Comput., 2024

Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network.
Appl. Soft Comput., 2024

2023
Multi-unit Discrete Hopfield Neural Network for higher order supervised learning through logic mining: Optimal performance design and attribute selection.
J. King Saud Univ. Comput. Inf. Sci., May, 2023

PRO2SAT: Systematic Probabilistic Satisfiability logic in Discrete Hopfield Neural Network.
Adv. Eng. Softw., 2023

A Modified Fuzzy K-nearest Neighbor Using the Improved Sparrow Search Algorithm for Two-classes and Multi-classes Datasets.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

A Classification Approach Using Improved Neighborhood Rough Set Feature Selection and Fuzzy K-Nearest Neighbor Method.
Proceedings of the 2nd International Conference on Algorithms, 2023

2022
Novel logic mining incorporating log linear approach.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Multi-discrete genetic algorithm in hopfield neural network with weighted random k satisfiability.
Neural Comput. Appl., 2022

Major 2 Satisfiability Logic in Discrete Hopfield Neural Network.
Int. J. Comput. Math., 2022

Weighted Random <i>k</i> Satisfiability for k=1, 2 (<i>r</i>2SAT) in Discrete Hopfield Neural Network.
Appl. Soft Comput., 2022

YRAN2SAT: A novel flexible random satisfiability logical rule in discrete hopfield neural network.
Adv. Eng. Softw., 2022

2021
Satisfiability Logic Analysis Via Radial Basis Function Neural Network with Artificial Bee Colony Algorithm.
Int. J. Interact. Multim. Artif. Intell., 2021

Energy Based Logic Mining Analysis with Hopfield Neural Network for Recruitment Evaluation.
Entropy, 2021

Random Satisfiability: A Higher-Order Logical Approach in Discrete Hopfield Neural Network.
IEEE Access, 2021

2020
Amazon Employees Resources Access Data Extraction via Clonal Selection Algorithm and Logic Mining Approach.
Entropy, 2020

2017
Robust Artificial Immune System in the Hopfield network for Maximum k-Satisfiability.
Int. J. Interact. Multim. Artif. Intell., 2017

2016
Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network.
Int. J. Interact. Multim. Artif. Intell., 2016


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