Items where Author is "Abdulkadir, S.J."

Al-Tashi, Q. and Shami, T.M. and Abdulkadir, S.J. and Akhir, E.A.P. and Alwadain, A. and Alhussain, H. and Alqushaibi, A. and Rais, H.M.D. and Muneer, A. and Saad, M.B. and Wu, J. and Mirjalili, S. (2023) Enhanced Multi-Objective Grey Wolf Optimizer with Lévy Flight and Mutation Operators for Feature Selection. Computer Systems Science and Engineering, 47 (2). pp. 1937-1966.

Abdullah, M.H.A. and Aziz, N. and Abdulkadir, S.J. and Akhir, E.A.P. and Talpur, N. (2023) Event Detection and Information Extraction Strategies from Text: A Preliminary Study Using GENIA Corpus. Lecture Notes in Networks and Systems, 573 LN. pp. 118-127. ISSN 23673370

Abdullah, M.H.A. and Aziz, N. and Abdulkadir, S.J. and Akhir, E.A.P. and Talpur, N. (2023) Event Detection and Information Extraction Strategies from Text: A Preliminary Study Using GENIA Corpus. Lecture Notes in Networks and Systems, 573 LN. pp. 118-127.

Talpur, N. and Abdulkadir, S.J. and Hasan, M.H. and Alhussian, H. and Alwadain, A. (2023) A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification. Computers, Materials and Continua, 74 (3). pp. 5799-5820. ISSN 15462218

Adamu, S. and Alhussian, H. and Aziz, N. and Abdulkadir, S.J. and Alwadin, A. and Imam, A.A. and Garba, A. and Saidu, Y. (2023) Optimizing Hyperparameters for Improved Melanoma Classification using Metaheuristic Algorithm. International Journal of Advanced Computer Science and Applications, 14 (10). pp. 531-540. ISSN 2158107X

Al-Sabaeei, A.M. and Alhussian, H. and Abdulkadir, S.J. and Jagadeesh, A. (2023) Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review. Energy Reports, 10. pp. 1313-1338. ISSN 23524847

Al-Sabaeei, A.M. and Alhussian, H. and Abdulkadir, S.J. and Giustozzi, F. and Napiah, M. and Jagadeesh, A. and Sutanto, M. and Memon, A.M. (2023) Utilization of response surface methodology and machine learning for predicting and optimizing mixing and compaction temperatures of bio-modified asphalt. Case Studies in Construction Materials, 18. ISSN 22145095

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A. (2022) Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey. Artificial Intelligence Review.

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A. (2022) Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey. Artificial Intelligence Review.

Abdullahi, M. and Baashar, Y. and Alhussian, H. and Alwadain, A. and Aziz, N. and Capretz, L.F. and Abdulkadir, S.J. (2022) Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review. Electronics (Switzerland), 11 (2).

Alwajih, R. and Abdulkadir, S.J. and Al Hussian, H. and Aziz, N. and Al-Tashi, Q. and Mirjalili, S. and Alqushaibi, A. (2022) Hybrid binary whale with harris hawks for feature selection. Neural Computing and Applications.

Ibad, T. and Abdulkadir, S.J. and Aziz, N. and Ragab, M.G. and Al-Tashi, Q. (2022) Hyperparameter Optimization of Evolving Spiking Neural Network for Time-Series Classification. New Generation Computing, 40 (1). pp. 377-397.

Al-Tashi, Q. and Mirjalili, S. and Wu, J. and Abdulkadir, S.J. and Shami, T.M. (2022) Moth-Flame Optimization Algorithm for Feature Selection: A Review and Future Trends. CRC Press, pp. 11-34. ISBN 9781000655605; 9781032070919

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Abdullah, M.H.A. (2022) Optimizing deep neuro-fuzzy classifier with a novel evolutionary arithmetic optimization algorithm. Journal of Computational Science, 64.

Alakbari, F.S. and Mohyaldinn, M.E. and Ayoub, M.A. and Muhsan, A.S. and Abdulkadir, S.J. and Hussein, I.A. and Salih, A.A. (2022) Prediction of critical total drawdown in sand production from gas wells: Machine learning approach. Canadian Journal of Chemical Engineering.

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A. (2022) A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods. Neural Computing and Applications, 34 (3). pp. 1837-1875.

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A. (2022) A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods. Neural Computing and Applications, 34 (3). pp. 1837-1875.

Pysal, D. and Abdulkadir, S.J. and Mohd Shukri, S.R. and Alhussian, H. (2021) Classification of children's drawing strategies on touch-screen of seriation objects using a novel deep learning hybrid model. Alexandria Engineering Journal, 60 (1). pp. 115-129.

Aziz, N. and Nordin, M.J. and Abdulkadir, S.J. and Salih, M.M.M. (2021) Digital addiction: Systematic review of computer game addiction impact on adolescent physical health. Electronics (Switzerland), 10 (9).

Balogun, A.O. and Basri, S. and Mahamad, S. and Abdulkadir, S.J. and Capretz, L.F. and Imam, A.A. and Almomani, M.A. and Adeyemo, V.E. and Kumar, G. (2021) Empirical analysis of rank aggregation-based multi-filter feature selection methods in software defect prediction. Electronics (Switzerland), 10 (2). pp. 1-16.

Alqushaibi, A. and Abdulkadir, S.J. and Rais, H.M. and Al-Tashi, Q. and Ragab, M.G. and Alhussian, H. (2021) Enhanced weight-optimized recurrent neural networks based on sine cosine algorithm for wave height prediction. Journal of Marine Science and Engineering, 9 (5).

Al-Wajih, R. and Abdulkadir, S.J. and Aziz, N. and Al-Tashi, Q. and Talpur, N. (2021) Hybrid Binary Grey Wolf with Harris Hawks Optimizer for Feature Selection. IEEE Access.

Al-Wajih, R. and Abdulkadir, S.J. and Aziz, N. and Al-Tashi, Q. and Talpur, N. (2021) Hybrid binary grey Wolf with Harris hawks optimizer for feature selection. IEEE Access, 9. pp. 31662-31677.

Al-Wajih, R. and Abdulkadir, S.J. and Aziz, N. and Al-Tashi, Q. and Talpur, N. (2021) Hybrid binary grey Wolf with Harris hawks optimizer for feature selection. IEEE Access, 9. pp. 31662-31677.

Aman, M. and Abdulkadir, S.J. and Aziz, I.A. and Alhussian, H. and Ullah, I. (2021) KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data. Multimedia Tools and Applications, 80 (8). pp. 12469-12506.

Razak, N.N.A. and Abdulkadir, S.J. and Maoinser, M.A. and Shaffee, S.N.A. and Ragab, M.G. (2021) One�dimensional convolutional neural network with adaptive moment estimation for modelling of the sand retention test. Applied Sciences (Switzerland), 11 (9).

Ragab, M.G. and Abdulkadir, S.J. and Aziz, N. and Alhussian, H. and Bala, A. and Alqushaibi, A. (2021) An ensemble one dimensional convolutional neural network with bayesian optimization for environmental sound classification. Applied Sciences (Switzerland), 11 (10).

Al-Tashi, Q. and Abdulkadir, S.J. and Rais, H.M. and Mirjalili, S. and Alhussian, H. (2020) Approaches to Multi-Objective Feature Selection: A Systematic Literature Review. IEEE Access, 8. pp. 125076-125096.

Al-Tashi, Q. and Abdulkadir, S.J. and Rais, H.M. and Mirjalili, S. and Alhussian, H. and Ragab, M.G. and Alqushaibi, A. (2020) Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification. IEEE Access, 8. pp. 106247-106263.

Supardi, N.A. and Abdulkadir, S.J. and Aziz, N. (2020) An Evolutionary Stream Clustering Technique for Outlier Detection. In: UNSPECIFIED.

Al-Tashi, Q. and Rais, H.M. and Abdulkadir, S.J. and Mirjalili, S. (2020) Feature Selection Based on Grey Wolf Optimizer for Oil Gas Reservoir Classification. In: UNSPECIFIED.

Azam, M.H. and Hasan, M.H. and Hassan, S. and Abdulkadir, S.J. (2020) Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means. In: UNSPECIFIED.

Alqushaibi, A. and Abdulkadir, S.J. and Rais, H.M. and Al-Tashi, Q. and Ragab, M.G. (2020) An Optimized Recurrent Neural Network for Metocean Forecasting. In: UNSPECIFIED.

Ragab, M.G. and Abdulkadir, S.J. and Aziz, N. (2020) Random Search One Dimensional CNN for Human Activity Recognition. In: UNSPECIFIED.

Alqushaibi, A. and Abdulkadir, S.J. and Rais, H.M. and Al-Tashi, Q. (2020) A Review of Weight Optimization Techniques in Recurrent Neural Networks. In: UNSPECIFIED.

Talpur, N. and Abdulkadir, S.J. and Hasan, M.H. (2020) A deep learning based neuro-fuzzy approach for solving classification problems. In: UNSPECIFIED.

Alhussian, H. and Zakaria, N. and Patel, A. and Jaradat, A. and Abdulkadir, S.J. and Ahmed, A.Y. and Bahbouh, H.T. and Fageeri, S.O. and Elsheikh, A.A. and Watada, J. (2019) Investigating the schedulability of periodic real-time tasks in virtualized cloud environment. IEEE Access, 7. pp. 29533-29542.

Balogun, A.O. and Basri, S. and Abdulkadir, S.J. and Hashim, A.S. (2019) Performance analysis of feature selection methods in software defect prediction: A search method approach. Applied Sciences (Switzerland), 9 (13).

Balogun, A.O. and Basri, S. and Abdulkadir, S.J. and Adeyemo, V.E. and Imam, A.A. and Bajeh, A.O. (2019) Software defect prediction: Analysis of class imbalance and performance stability. Journal of Engineering Science and Technology, 14 (6). pp. 3294-3308.

Abdulkadir, S.J. and Alhussian, H. and Alzahrani, A.I. (2018) Analysis of recurrent neural networks for henon simulated time-series forecasting. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-8). pp. 155-159.

Abdulkadir, S.J. and Alhussian, H. and Alzahrani, A.I. (2018) Analysis of recurrent neural networks for henon simulated time-series forecasting. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-8). pp. 155-159.

Abdulkadir, S.J. and Yong, S.-P. (2016) Lorenz time-series analysis using a scaled hybrid model. In: UNSPECIFIED.

Alhussian, H. and Zakaria, N. and Abdulkadir, S.J. and Fageeri, S.O. (2016) Performance evaluation of real-time multiprocessor scheduling algorithms. In: UNSPECIFIED.

Abdulkadir, S.J. and Yong, S.-P. and Alhussian, H. (2016) An enhanced ELMAN-NARX hybrid model for FTSE Bursa Malaysia KLCI index forecasting. In: UNSPECIFIED.

Abdulkadir, S.J. and Yong, S.-P. (2014) Empirical analysis of parallel-NARX recurrent network for long-term chaotic financial forecasting. In: UNSPECIFIED.

Abdulkadir, S.J. and Yong, S.-P. and Marimuthu, M. and Lai, F.-W. (2014) Hybridization of ensemble kalman filter and non-linear auto-regressive neural network for financial forecasting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8891. pp. 72-81.