[1] | Syahid Anuar, Roselina Sallehuddin,Ali Selamat, Implementation of Artificial Neural Network on Graphics Processing Unit for classification problems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),Nov 2016, 9876 pp 303 -310, Springer-Verlag |
[2] | Syahid Anuar, Ali Selamat, Roselina Sallehuddin, A modified scout bee for artificial bee colony algorithm and its performance on optimization problemsOriginal Research Article Journal of King Saud University - Computer and Information Sciences, In Press, Corrected Proof, Available online 23 April 2016, http://dx.doi.org/10.1016/j.jksuci.2016.03.001, 1319-1578 |
[3] | Roselina Sallehuddin,Sh Hafizah Sy Ahmad Ubaidillah, Azlan Mohd Zain, Razana Alwee, Nor Haizan Mohamed Radzi,An Improvement in Support Vector Machine Classification Model using Grey Relational Analysis for Cancer Diagnosis, Jurnal Teknologi( Science and Engineering), 78:8-2(2016) pp 107-119. |
[4] | Chatchada kaewpruksapimon, Roselina Sallehuddin,Radziah Mohamad, A New Framework for Matching Semantic Web Service Descriptions based On OWL-S Services, Int. J. Advance Soft Compu. Appl, Vol. 8, No. 2, July 2016, ISSN 2074-8523 |
[5] | Zuriahati Mohd Yunos, Aida Ali, Siti Mariyam Shamsyuddin,Noriszura Ismail, Roselina Sallehuddin, Predictive Modelling for Motor Insurance Claims Using Artificial Neural Networks,IWBDA2016 |
[6] | Othman SN,Mustaffa NH , Radzi NHM ,Sallehuddin,R, Bazin NEN, A Modelling of Genetic Algorithm for Inventory Routing Problem Simulation Optimisation, International Journal of Supply Chain Management, Vol. 2, No. 1, March 2013, IJSCM, ISSN: 2050-7399 (Online), 2051-3771 (Print), Copyright © ExcelingTech Pub, UK, 1-9 |
[7] | Ashanira Mat Deris, Azlan Mohd Zain , Roselina Sallehuddin , and Safian Sharif Experimental study of surface roughness in Electric Discharge Machining (EDM) based on GreyRelational Analysis, MATEC Web of Conferences, Volume 78, 7 October 2016, Article number 01015, 2nd International Conference on Green Design and Manufacture, IConGDM 2016; Phuket; Thailand; 1 May 2016 through 2 May 2016 |
[8] | Yusliza Yusoff, Azlan Mohd Zain, Safian Sharif, Roselina Sallehuddin, Multi Objective Machining Estimation Model Using Orthogonal And Neural Network, Jurnal Teknologi( Science and Engineering), 78:12–2 (2016) 11–18 |
[9] | Zuriahati Mohd Yunos, Aida Ali, Siti Mariyam Shamsyuddin,Razana Alwee, Noriszura Ismail, Roselina Sallehuddin, Comparative Performance For Predictive Modelling In Motor Insurance Claims Jurnal Teknologi( Science and Engineering), 78:12–2 (2016) 11–18 |
[10] | Ashanira Mat Deris, Azlan Mohd Zain , Roselina Sallehuddin , and Safian Sharif, "Overview of Harmony Search (HS) Algorithm for Green Manufacturing Industries", Applied Mechanics and Materials, Vol. 815, pp. 413-416, 2015 |
[11] | Hamed Adab A , Kasturi Devi Kanniah B E , Karim Solaimani C and Roselina Sallehuddin, Modelling Static Fire Hazard in a Semi-Arid region Using frequency Analysis, International Journal of Windland Fire 24(6),Sept 2015,ISSN 10498001,CSIRO, Australia,763-777, IF 2.429, 763-777 |
[12] | Roselina Sallehuddin, Subariah Ibrahim, Azlan Mohd Zain, Abdikarim Hussein Elmi, Detecting SIM Box Fraud by Using Support Vector Machine and Artificial Neural Network,Jurnal teknologi, 74:1 (2015) 145–157, eISSN 2180–3722 |
[13] | Razana Alwee, Siti Mariyam Shamsuddin, Roselina Sallehuddin, MODELING OF VIOLENT CRIME RATES WITH ECONOMIC INDICATORS USING HYBRIDIZATION OF GREY RELATIONAL ANALYSIS AND SUPPORT VECTOR REGRESSION. Jurnal teknologi, 74:2 (2015) 145–157, eISSN 2180–3722 |
[14] | Syahid Anuar, Ali Selamat, Roselina Sallehuddin , Hybrid Artificial Neural Network with Artificial Bee Colony Algorithm for Crime for Crime Classification, Advances in Intelligent Systems and Computing Volume 331 2015 |
[15] | Syahid Anuar, Ali Selamat, Roselina Sallehuddin, Hybrid Particle Swarm Optimization Feature Selection for Crime Classification, New Trends in Intelligent Information and Database Systems, Studies in Computational Intelligence Vol 598, 2015, pp 101-110, 2015 |
[16] | Mohd Syahid Anuar, Ali Selamat, Roselina Sallehuddin, Particle Swarm Optimization Feature Selection for Violent Crime Classification,Studies in Computational Intelligence Volume 551 2014,Advanced Approaches to Intelligent Information and Database New Trends in Intelligent Information and Database Systems, Studies in Computational Intelligence Vol 598, 2015, pp 101-110, 2015 |
[17] | Roselina Sallehuddin, Abdikarim Hussein Elmi, Subariah Ibrahim,Azlan Mohd Zain, Classification Of Sim Box Fraud Detection Using Support Vector Machine And Artificial Neural Network, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING (IJIC), Vol4(2),2014, pp19-27 |
[18] | Sharifah Hafizah Sy Ahmad Ubaidillah, Roselina Sallehuddin,Nor Azizah ali, Cancer Detection Using Artificial Neural Network and Support Vector Machine: A Comparative Study, Jurnal Teknologi (Sciences & Engineering) 65:1 (2013), 73–81, Nov 2013 |
[19] | Sharifah Hafizah Sy Ahmad Ubaidillah, Roselina Sallehuddin, Noorfa Haszlinna Mustaffa, Classification of Liver Cancer Using Artificial Neural Network and Support Vector Machine, ACEEE, 2013 |
[20] | Sharifah Hafizah Sy Ahmad Ubaidillah, Roselina Sallehuddin, Noorfa Haszlinna Mustaffa, Classification of Liver Cancer Using Artificial Neural Network and Support Vector Machine, Proc.of Int. Conf on Advances in Communication, Network and Computing, CNC, Elsevier, 2014, 487-493 |
[21] | Razana Alwee, Siti Mariyam Hj Shamsuddin, Roselina Sallehuddin,Grey Relational Analysis and Support Vector Regression for Crime Rates Forecasting with Economic Indicators, International Journal of Economics and Statistics, 2015-096, Nov 2013 |
[22] | Razana Alwee, Siti Mariyam Hj Shamsuddin, Roselina Sallehuddin, Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimiution for Property Crime Rates Forecasting with Economic Indicators, The Scientific World Journal, Vol 2013(2013) , http:1/cb:.dol.org/10.1155/2013/951475, ISI indexs (IF:1.730) |
[23] | Ashanira Mat Deris, Azlan Mohd Zain, Roselina Sallehuddin, Hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining, Meccanica (MECC), Meccanica, DOI 10.1007/s11012-013-9710-2, Impact factor :1.6, |
[24] | Lim Fong Tee, Mohd Saberi Mohamad, Safaai Deris, Ahmad ‘Athif Mohd Faudzi, Muhammad Shafie Abd Latiff, Roselina Sallehuddin, Validation of Hierarchical Gene Clusters Using Repeated Measurements, Jurnal Teknologi(science and Engineering), UTM, Vol 61, No 1, March 2013, 7-12 |
[25] | Abdikarim Hussein Elmi, Subariah Ibrahim, Roselina Sallehuddin,Detecting SIM Box Fraud Using Neural Network, Kuinam J. Kim and Kyung-Yong Chung .Lecture Notes in Electrical Engineering IT Convergence and Security 2012201310.1007/978-94-007-5860-5_69© Springer Science+Business Media Dordrecht 2013 |
[26] | Mohamad, M.A., Ali, N.A., Sallehuddin, R., Haron, H. Prediction of hardness in TIA1N coating process using support vector machine, Source of the Document Proceedings of the 3rd IASTED Asian Conf. on Modelling, Identification, & Control, AsiaMIC 2013,pp272-277 |
[27] | Alwee, R., Shamsuddin, S.M.H., Salleh Sallehuddin, R. Economic indicators selection for crime rates forecasting using cooperative feature selection, 20th National Symposium on Mathematical Sciences , Research in Mathematical Sciences: A Catalyst for Creativity and Innovation, SKSM 2012; Putrajaya; Malaysia; 18 December 2012 through 20 December 2012, AIP Conference Proceedings Volume 1522, 2013, Pages 1221-123 |
[28] | Mohd Yunos, Z., Shamsuddin, S.M., Ismail, N., Sallehuddin, R.Modeling the Malaysian motor insurance claim using artificial neural network and adaptive NeuroFuzzy inference system , AIP Conference Proceedings , Volume 1522, 2013,pp1431-1437 |
[29] | Sy Ahmad Ubaidillah, S.H., Sallehuddin, R. Forecasting Zakat collection using artificial neural network AIP Conference Proceedings , Volume 1522, 2013,pp1431-1437 |
[30] | Roselina Sallehuddin, Siti Mariyam Shamsuddin, Noorfa Hazlinna Mustaffa, Cooperative Feature Selection for Improving Multivariate Time Series Forecasting Performance, in : Huang et al., 2012, Emerging Intelligent Computing Technology and Applications, Communications in Computer and Information Science (CCIS), Springer, 2012, ISBN978-3-642-31836-8, 373-381 |
[31] | D. F. Sameon, S. M. Shamsuddin & R. Sallehuddin, Compact Classification Of Optimized Boolean Reasoning With Particle Swarm Optimization, Journal of Inteligent Data Analysis, IOI Press, DOI 10.3233/IDA-2012-00559, Impact factor: 0.446, Vol 16(6) , 2012, 915-931 |
[32] | Said Jadid Abdulkadir, Siti Mariyam Shamsuddin and Roselina Sallehuddin, Three Term Back Propagation Network for Moisture Prediction, International Journal of Environmental Science and Development (IJESD), ISSN: 2010-0264 |
[33] | Othman, S.N., Mustaffa, N.H., Sallehuddin, R. Supply chain spreadsheet simulation optimization Proceedings of International Conference on Computational Intelligence, Modelling and Simulation 2012 |
[34] | Liliy Ayu Wulandhari, Habibollah Haron, Roselina Sallehuddin, The Mapping Algorithm of Triangular Vertex Chain Code from Thinned Binary Image, Lecture Notes Computer Science (LNCS), Springer, Dec 2011. |
[35] | Roselina Sallehuddin, Siti Mariyam Shamsuddin, Hybrid Grey Relational Artificial Neural Network And Autoregressive Integrated Moving Average Model For Time Series Forecasting, Applied Artificial Intelligence, 23(05), ISSN: 0883-9514, pages: 443-486, May 2009, Taylor & Francis. Impact Factor: 0.795 |
[36] | Siti Mariyam Shamsuddin, Roselina Sallehuddin, Norfadzila Mohd Yusof, Artificial Neural Network Time Series Modeling for Revenue Forecasting, Chieng Mai J. Sci. 2008;35(1): 411-426. ISSN: 01252526 (Scorpus/ISI , citation :3) Impact Factor : 0.34 |
[37] | Roselina Sallehuddin, Siti Mariyam Hj. Shamsuddin, Siti Zaiton Mohd. Hashim,Ajith Abraham, Forecasting Time Series Data Using Hybrid Grey Relational Artificial Neural Network And Autoregressive Integrated Moving Average Model, 89 Neural Network World 2007, Special Issue on Hybrid Inteligent Systems 2007, Vol. 17, No. 6, pp. 505-689, ISSN 1210-0552: Czech Academy of Sciences, Impact factor : 0.39 |