Said Jadid Abdulkadir
Orcid: 0000-0003-0038-3702Affiliations:
- Universiti Teknologi Petronas, Seri Iskandar, Malaysia
According to our database1,
Said Jadid Abdulkadir
authored at least 30 papers
between 2013 and 2024.
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Bibliography
2024
Reservoir porosity assessment and anomaly identification from seismic attributes using Gaussian process machine learning.
Earth Sci. Informatics, April, 2024
Energy-efficient routing protocol for reliable low-latency Internet of Things in oil and gas pipeline monitoring.
PeerJ Comput. Sci., 2024
2023
A novel bitwise arithmetic optimization algorithm for the rule base optimization of deep neuro-fuzzy system.
J. King Saud Univ. Comput. Inf. Sci., February, 2023
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey.
Artif. Intell. Rev., February, 2023
Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection.
Comput. Syst. Sci. Eng., 2023
Enhanced Deep Deterministic Policy Gradient Algorithm Using Grey Wolf Optimizer for Continuous Control Tasks.
IEEE Access, 2023
BAOA: Binary Arithmetic Optimization Algorithm With K-Nearest Neighbor Classifier for Feature Selection.
IEEE Access, 2023
Epistemic Uncertainty and Model Transparency in Rock Facies Classification Using Monte Carlo Dropout Deep Learning.
IEEE Access, 2023
Systematic Literature Review of Information Extraction From Textual Data: Recent Methods, Applications, Trends, and Challenges.
IEEE Access, 2023
Preliminary Investigation of Balanced Stratified Reduction (BSR) for Imbalanced Datasets.
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2023
2022
Hyperparameter Optimization of Evolving Spiking Neural Network for Time-Series Classification.
New Gener. Comput., 2022
A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods.
Neural Comput. Appl., 2022
Neural Comput. Appl., 2022
Optimizing deep neuro-fuzzy classifier with a novel evolutionary arithmetic optimization algorithm.
J. Comput. Sci., 2022
Uncertainty Quantification in Classifying Complex Geological Facies Using Bayesian Deep Learning.
IEEE Access, 2022
2021
A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy.
Symmetry, 2021
KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data.
Multim. Tools Appl., 2021
IEEE Access, 2021
2020
Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study.
Symmetry, 2020
IEEE Access, 2020
IEEE Access, 2020
Search-Based Wrapper Feature Selection Methods in Software Defect Prediction: An Empirical Analysis.
Proceedings of the Intelligent Algorithms in Software Engineering, 2020
Rank Aggregation Based Multi-filter Feature Selection Method for Software Defect Prediction.
Proceedings of the Advances in Cyber Security - Second International Conference, 2020
2019
Investigating the Schedulability of Periodic Real-Time Tasks in Virtualized Cloud Environment.
IEEE Access, 2019
IEEE Access, 2019
2018
Key Concept Identification: A Comprehensive Analysis of Frequency and Topical Graph-Based Approaches.
Inf., 2018
Key Concept Identification: A Sentence Parse Tree-Based Technique for Candidate Feature Extraction From Unstructured Texts.
IEEE Access, 2018
2015
Scaled UKF-NARX hybrid model for multi-step-ahead forecasting of chaotic time series data.
Soft Comput., 2015
2014
Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2014
2013
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013