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Ahmed, Ali Najah and Noor, Che Wan Mohd and Allawi, Mohammed Falah and El-Shafie, Ahmed (2018) RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW). Neural Computing and Applications, 29 (3). pp. 889-899. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-016-2496-0.
Al Azawee, H. and Husien, S. and Yunus, M.A.M. (2016) Encryption function on artificial neural network. Neural Computing and Applications, 27 (8). pp. 2601-2604. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-015-2028-3.
Aljanabi, Qasim A. and Chik, Zamri and Allawi, Mohammed Falah and El-Shafie, Amr H. and Ahmed, Ali N. and El-Shafie, Ahmed (2018) Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment. Neural Computing and Applications, 30 (8). pp. 2459-2469. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-016-2807-5.
Asteris, Panagiotis G. and Koopialipoor, Mohammadreza and Armaghani, Danial J. and Kotsonis, Evgenios A. and Lourenco, Paulo B. (2021) Prediction of cement-based mortars compressive strength using machine learning techniques. Neural Computing and Applications, 33 (19). pp. 13089-13121. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-021-06004-8.
Chang, R.K.Y. and Loo, Chu Kiong and Rao, M.V.C. (2009) Enhanced probabilistic neural network with data imputation capabilities for machine-fault slassification. Neural Computing and Applications, 18 (7). pp. 791-800. ISSN 0941-0643,
Chang, Y. L. and Chan, Chee Seng and Remagnino, P. (2021) Action recognition on continuous video. Neural Computing and Applications, 33 (4). pp. 1233-1243. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-020-04982-9.
Chin, Wei Hong and Loo, Chu Kiong (2018) Topological Gaussian ARAM for biologically inspired topological map building. Neural Computing and Applications, 29 (4). pp. 1055-1072. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-016-2505-3.
Gorgij, Alireza Docheshmeh and Alizamir, Meysam and Kisi, Ozgur and Elshafie, Ahmed (2022) Drought modelling by standard precipitation index (SPI) in a semi-arid climate using deep learning method: Long short-term memory. Neural Computing and Applications, 34 (3, SI). pp. 2425-2442. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-021-06505-6.
Hossain, Md Shabbir and El-Shafie, Ahmed and Mahzabin, Mst Sadia and Zawawi, Mohd Hafiz (2018) System performances analysis of reservoir optimization–simulation model in application of artificial bee colony algorithm. Neural Computing and Applications, 30 (7). pp. 2101-2112. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-016-2798-2.
Karami, Hojat and Ehteram, Mohammad and Mousavi, Sayed-Farhad and Farzin, Saeed and Kisi, Ozgur and El-Shafie, Ahmed (2019) Optimization of energy management and conversion in the water systems based on evolutionary algorithms. Neural Computing and Applications, 31 (10). pp. 5951-5964. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-018-3412-6.
Khosropanah, Pegah and Ramli, Abdul Rahman and Abbasi, Mohammad Reza and Marhaban, Mohammad Hamiruce and Ahmedov, Anvarjon (2018) A hybrid unsupervised approach toward EEG epileptic spikes detection. Neural Computing and Applications. pp. 1-22. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-018-3797-2.
Loo, C.K. and Liew, W.S. and Seera, M. and Lim, Einly (2015) Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms. Neural Computing and Applications, 26 (2). pp. 263-276. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-014-1632-y.
Loo, Chu Kiong and Law, A. and Lim, W.S. and Rao, M.V.C. (2006) Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation. Neural Computing and Applications, 15 (1). pp. 79-90. ISSN 0941-0643,
Mastoi, Qurat-ul-ain and Memon, Muhammad Suleman and Lakhan, Abdullah and Mohammed, Mazin Abed and Qabulio, Mumtaz and Al-Turjman, Fadi and Abdulkareem, Karrar Hameed (2021) Machine learning-data mining integrated approach for premature ventricular contraction prediction. Neural Computing and Applications, 33 (18). pp. 11703-11719. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-021-05820-2.
Moghaddasi, Zahra and Jalab, Hamid Abdullah and Noor, Rafidah Md (2019) Image splicing forgery detection based on low-dimensional singular value decomposition of discrete cosine transform coefficients. Neural Computing and Applications, 31 (11). pp. 7867-7877. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-018-3586-y.
Sadollah, A. and Bahreininejad, A. and Abd Shukor, Mohd Hamdi and Purbolaksono, J. (2014) Optimum mechanical behavior of calcium phosphate cement/hydroxyl group functionalized multi-walled carbon nanotubes/bovine serum albumin composite using metaheuristic algorithms. Neural Computing and Applications. pp. 1-8. ISSN 0941-0643,
Siamaknejad, Hossein and Liew, Wei Shiung and Loo, Chu Kiong (2019) Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation. Neural Computing and Applications, 31 (3). pp. 945-953. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-017-3126-1.
Tubishat, Mohammad and Ja'afar, Salinah and Idris, Norisma and Al-Betar, Mohammed Azmi and Alswaitti, Mohammed and Jarrah, Hazim and Ismail, Maizatul Akmar and Omar, Mardian Shah (2022) Improved sine cosine algorithm with simulated annealing and singer chaotic map for Hadith classification. Neural Computing and Applications, 34 (2, SI). pp. 1385-1406. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-021-06448-y.
Yaseen, Zaher Mundher and Allawi, Mohammed Falah and Karami, Hojat and Ehteram, Mohammad and Farzin, Saeed and Ahmed, Ali Najah and Koting, Suhana and Mohd, Nuruol Syuhadaa and Jaafar, Wan Zurina Wan and Afan, Haitham Abdulmohsin and El-Shafie, Ahmed (2019) A hybrid bat–swarm algorithm for optimizing dam and reservoir operation. Neural Computing and Applications, 31 (12). pp. 8807-8821. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-018-3952-9.
Yaseen, Zaher Mundher and Allawi, Mohammed Falah and Yousif, Ali A. and Jaafar, Othman and Hamzah, Firdaus Mohamad and El-Shafie, Ahmed (2018) Non-tuned machine learning approach for hydrological time series forecasting. Neural Computing and Applications, 30 (5). pp. 1479-1491. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-016-2763-0.