Kauthar Mohd Daud
Orcid: 0000-0002-4460-9462
According to our database1,
Kauthar Mohd Daud
authored at least 12 papers
between 2017 and 2024.
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Bibliography
2024
Optimized models and deep learning methods for drug response prediction in cancer treatments: a review.
PeerJ Comput. Sci., 2024
A review of advances in integrating gene regulatory networks and metabolic networks for designing strain optimization.
J. King Saud Univ. Comput. Inf. Sci., 2024
2023
Offline Handwritten Chinese Character Using Convolutional Neural Network: State-of-the-Art Methods.
J. Adv. Comput. Intell. Intell. Informatics, July, 2023
Proceedings of the International Conference on Electrical Engineering and Informatics, 2023
Non-Dominated Sorting Differential Search Algorithm for Optimizing Regulatory-Metabolic Networks by Using Probabilistic Approach.
Proceedings of the International Conference on Electrical Engineering and Informatics, 2023
2022
Cyber-attack Group Representation based on Adversary Artifacts with Machine Learning.
Proceedings of the 2022 International Conference on Cyber Resilience (ICCR), 2022
2020
Comparison of Optimization-Modelling Methods for Metabolites Production in Escherichia coli.
J. Integr. Bioinform., 2020
2019
A non-dominated sorting Differential Search Algorithm Flux Balance Analysis (ndsDSAFBA) for <i>in silico</i> multiobjective optimization in identifying reactions knockout.
Comput. Biol. Medicine, 2019
A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2019
2018
A hybrid of Cuckoo Search and Minimization of Metabolic Adjustment to optimize metabolites production in genome-scale models.
Comput. Biol. Medicine, 2018
2017
K-Means Clustering with Infinite Feature Selection for Classification Tasks in Gene Expression Data.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017
Classification of Colorectal Cancer Using Clustering and Feature Selection Approaches.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017