Items where Author is "Alhussian, H."
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).
Baashar, Y. and Alkawsi, G. and Alhussian, H. and Capretz, L.F. and Alwadain, A. and Alkahtani, A.A. and Almomani, M. (2022) Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis. Computational intelligence and neuroscience, 2022. p. 5849995.
Baashar, Y. and Alkawsi, G. and Alhussian, H. and Capretz, L.F. and Alwadain, A. and Alkahtani, A.A. and Almomani, M. (2022) Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis. Computational Intelligence and Neuroscience, 2022.
Baashar, Y. and Alkawsi, G. and Ahmad, W.N.W. and Alhussian, H. and Alwadain, A. and Capretz, L.F. and Babiker, A. and Alghail, A. (2022) Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis. JMIR Serious Games, 10 (3).
Baashar, Y. and Hamed, Y. and Alkawsi, G. and Fernando Capretz, L. and Alhussian, H. and Alwadain, A. and Al-amri, R. (2022) Evaluation of postgraduate academic performance using artificial intelligence models. Alexandria Engineering Journal, 61 (12). pp. 9867-9878.
Baashar, Y. and Hamed, Y. and Alkawsi, G. and Fernando Capretz, L. and Alhussian, H. and Alwadain, A. and Al-amri, R. (2022) Evaluation of postgraduate academic performance using artificial intelligence models. Alexandria Engineering Journal, 61 (12). pp. 9867-9878.
Baashar, Y. and Hamed, Y. and Alkawsi, G. and Fernando Capretz, L. and Alhussian, H. and Alwadain, A. and Al-amri, R. (2022) Evaluation of postgraduate academic performance using artificial intelligence models. Alexandria Engineering Journal, 61 (12). pp. 9867-9878.
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.
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.
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).
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.
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).
Ghali, A.A. and Ahmad, R. and Alhussian, H. (2021) A framework for mitigating ddos and dos attacks in iot environment using hybrid approach. Electronics (Switzerland), 10 (11).
Alkawsi, G.A. and Ali, N. and Mustafa, A.S. and Baashar, Y. and Alhussian, H. and Alkahtani, A. and Tiong, S.K. and Ekanayake, J. (2021) A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective. Alexandria Engineering Journal, 60 (1). pp. 227-240.
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.
Khoiruddin, A.A. and Zakaria, N. and Alhussian, H. (2020) Asynchronous Non-Blocking Algorithm to Handle Straggler Reduce Tasks in Hadoop System. International Journal on Advanced Science, Engineering and Information Technology, 10 (5). pp. 1913-1919.
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.
Baashar, Y. and Alhussian, H. and Patel, A. and Alkawsi, G. and Alzahrani, A.I. and Alfarraj, O. and Hayder, G. (2020) Customer relationship management systems (CRMS) in the healthcare environment: A systematic literature review. Computer Standards and Interfaces, 71.
Jaradat, A. and Alhussian, H. and Patel, A. and Fati, S.M. (2020) Multiple users replica selection in data grids for fair user satisfaction: A hybrid approach. Computer Standards and Interfaces, 71.
Amir, A.N. and Alhussian, H. and Hayder, G. and Basri, S. and Jadid, S. (2020) Smart water quality IoT-based system for healthy living. Journal of Green Engineering, 10 (12). pp. 13299-13310.
Al-Kaf, H.A.G. and Alduais, N.A.M. and Saad, A.-M.H.Y. and Chia, K.S. and Mohsen, A.M. and Alhussian, H. and Mahdi, A.A.M.H. and Salam, W.S.-I.W. (2020) A bootstrapping soft shrinkage approach and interval random variables selection hybrid model for variable selection in near-infrared spectroscopy. IEEE Access, 8. pp. 168036-168052.
Fageeri, S. and Alhussian, H. and Jadid, S. and Abdalla, I.E.E. and Mohamed, A.O.A. and Hussain, A. (2019) Association rules-based cancer data analysis of Khartoum Centre for Radiation and Isotopes. Journal of Computational and Theoretical Nanoscience, 16 (5-6). pp. 2289-2293.
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.
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.
Patel, A. and Alhussian, H. and Pedersen, J.M. and Bounabat, B. and Júnior, J.C. and Katsikas, S. (2017) A nifty collaborative intrusion detection and prevention architecture for Smart Grid ecosystems. Computers and Security, 64. pp. 92-109.
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.
Fageeri, S.O. and Ahmad, R. and Alhussian, H. (2016) A performance analysis of association rule mining algorithms. In: UNSPECIFIED.
Alhussian, H. and Zakaria, N. and Patel, A. (2016) An unfair semi-greedy real-time multiprocessor scheduling algorithm. Computers and Electrical Engineering, 50. pp. 143-165.
Alhussian, H. and Zakaria, N. (2015) An efficient zero-laxity based real-time multiprocessor scheduling algorithm. In: UNSPECIFIED.
Alhussian, H. and Zakaria, N. and Hussin, F.A. and Bahbouh, H.T. (2014) A modified LRE-TL real-time multiprocessor scheduling algorithm. Lecture Notes in Electrical Engineering, 285 LN. pp. 335-344.
Alhussian, H. and Zakaria, N. and Hussin, F.A. and Bahbouh, H.T. (2014) A semi greedy soft real-time multiprocessor scheduling algorithm. In: UNSPECIFIED.