Publications

February 22nd, 2020

 

Refereed Journals

[48] Wesam M. Ashour, “A novel Kernel Clustering Algorithm,” International Journal of Computer Applications (IJCA), 181(29):32-36 October 2018. doi:10.5120/ijca2018918148, ISSN: 0975 – 8887, New York, USA.

[47] Wesam M. Ashour, Riham Muqat, and Haneen Al-Talli, “Optimization of Traveling Salesman Problem based on Adaptive Affinity Propagation and Ant Colony Algorithms,” International Journal of Computer Applications (IJCA), 181(29):25-31 October 2018. doi: 10.5120/ijca2018918147, ISSN: 0975 – 8887, New York, USA.

[46] Wesam M. Ashour, Islam A. Mezied, and Abdallatif S. Abu-Issa, “Stemming Effectiveness in Clustering of Arabic Documents,” International Journal of Computer Applications (IJCA), 181(21):36-43 October 2018. doi: 10.5120/ijca2018917932, ISSN: 0975 – 8887, New York, USA.

[45] Ahmed Z. Skaik, Wesam M. Ashour, “Combining IWC and PSO to Enhance Data Clustering”, Journal of Engineering Research and Technology, vol. (4), no. 3, pp. 119 – 123 (2017), ISSN 2312-22307.

[44] Hamza A. Naji, Wesam M. Ashour, Mohammed A. Alhanjouri, “A New Model in Arabic Text Classification Using BPSO/REP-Tree”, Journal of Engineering Research and Technology, vol. (4), no. 1, pp. 28 – 42 (2017), ISSN 2312-22307.

[43] Naser S. A. Abusulaiman and Wesam M Ashour, ” Infected Part Detection based on Affinity Propagation Clustering “, International Journal of Software Engineering and Its Applications (IJSEIA), vol. 10, no. 7, pp. 39-52 (2016), ISSN: 1738-9984. http://dx.doi.org/10.14257/ijseia.2016.10.7.05

[42] Wesam M. Ashour, Abdallatif S. Abu-Issa and Olaf Hellwich, “Clustering Algorithms in Echo State Networks “, International Journal of Signal Processing, Image Processing and Pattern Recognition IJSIP, vol. 9, no. 5, pp. 15-24. ISSN: 2005-4254. http://dx.doi.org/10.14257/ijsip.2016.9.5.02.

[41] Hamza Naji and Wesam Ashour, “Text Classification for Arabic Words Using Rep-Tree”, International Journal of Computer Science and Information Technology (IJCSIT), 8 (2): 103 – 110, DOI:10.5121/ijcsit.2016.8208,  ISSN 0975 3826, 2016.

[40] Ahmed M. Serdah and Wesam M. Ashour, “CLUSTERING LARGE-SCALE DATA BASED ON MODIFIED AFFINITY PROPAGATION ALGORITHM,” Journal of Artificial Intelligence and Soft Computing Research JAISCRVol.6, No. 1, pp. 23 -33, DOI 10.1515/jaiscr-2016-0003, 2015, ISSN 2083-2567.

[39] Ahmad El-Samak and Wesam M. Ashour, “OPTIMIZATION OF TRAVELING SALESMAN PROBLEM USING AFFINITY PROPAGATION CLUSTERING AND GENETIC ALGORITHM,” Journal of Artificial Intelligence and Soft Computing Research JAISCRVol. 5, No. 4, pp. 239 -245, DOI 10.1515/jaiscr-2015-0032, 2015, ISSN 2083-2567.

[38]  Mohammed R. El Khoudary, Wesam M. Ashour, “Design and Implementation of a Selective Continuous Test Runner,” International Journal of Artificial Intelligence and Application for Smart Devices IJAIASD, 2(2): pp.23-38, http://dx.doi.org/10.14257/ijaiasd.2014.2.2.03, ISSN: 2288-6710, SERSC 2014.

[37] Nidal Ismael, Mahmoud Alzaalan, Wesam M. Ashour, “Improved Multi Threshold Birch Clustering Algorithm,” International Journal of Artificial Intelligence and Application for Smart Devices IJAIASD, 2(1): pp.1-10, 2014.

[36] Kanaan El-Bhissy, Fadi El-Faleet, Wesam M. Ashour, “Spectral Clustering Using Optimized Gaussian Kernel Function,” International Journal of Artificial Intelligence and Application for Smart Devices IJAIASD, 2(1): pp.41-56, 2014.

[35] Raed T. Aldahdooh and Wesam M. Ashour, “DSMK-means ‘Density Based Split and Merge K-means Clustering Algorithm’,” Journal of Artificial Intelligence and Soft Computing Research JAISCR Vol. 3, No. 1, pp. 51 -71, DOI 10.2478/jaiscr-2014-0005, 2014, ISSN 2083-2567.

[34] Wesam M. Ashour, Tzai Der Wang and Colin Fyfe, “Reservoir Computing and Data Visualisation,” Journal of Artificial Intelligence and Soft Computing Research JAISCR Vol. 2, No. 3, pp. 215 -222, 2012, ISSN 2083-2567.

[33] Wesam M. Ashour and Colin Fyfe, “Improving Bregman k-means,” International Journal of Data Mining, Modelling and Management (IJDMMM), 6(1): 65 -82. DOI: 10.1504/IJDMMM.2014.059981, Inderscience 2014.

[32] Wesam M. Ashour and Colin Fyfe, “Visualising Data Using Reservoir with Clustering”, International Journal of Artificial Intelligence and Application IJAIASD1(1): pp.25-40, 2013. SERSC, ISSN: 2288-6710.

[31] Faten Abu Shmmala and Wesam M. Ashour, “Color Based Image Segmentation using Different Versions of K-Means in two Spaces”, Global Advanced Research Journal of Engineering, Technology and Innovation (GARJETI), 1(1):030-041, 2013. ISSN: 2315-5124.

[30] Mohammed Elbatta and Wesam M. Ashour,” A dynamic Method for Discovering Density Varied Clusters”, International Journal of Signal Processing, Image Processing and Pattern Recognition IJSIP, vol. 6, no. 1, pp. 123-134. Feb 2013.

[29] Mohamed Abubaker and Wesam M. Ashour,” Efficient Data Clustering Algorithms: Improvements over Kmeans“, International Journal of Intelligent Systems and Applications (IJISA), vol.5, no.3, pp.37-49, 2013. DOI: 10.5815/ijisa.2013.03.04.

[28] Belal Elfarra, Tayseer El Khateeb and Wesam M. Ashour, “BH-centroids: a new efficient clustering algorithm”, International Journal of Artificial Intelligence and Application IJAIASD 1(1): pp.15-25, 2013. SERSC, ISSN: 2288-6710.

[27] Raed T. Aldahdooh and Wesam M. Ashour,” DIMK-means “Distance-based Initialization Method for K-means Clustering Algorithm””, International Journal of Intelligent Systems and Applications (IJISA), vol.5, no.2, pp.41-51, 2013. ISSN: 2074-904X. MECS. DOI: 10.5815/ijisa.2013.02.05.

[26] Hassan M Dawoud and Wesam M. Ashour,” Modified DBSCAN Clustering Algorithm for Data with Different Densities”, Computing and Information Systems, 16(3):16-21, October 2012. ISSN 1352-9404.

[25] Ahmed M. Serdah and Wesam M. Ashour, “Overcome the problem of different density-regions using the Inter-Connectivity and the Closeness”, Computing and Information Systems, 16(3):2-7, October 2012. ISSN 1352-9404.

[24] Bilal A.Shehada,Mahmoud Z.Alkurdi,Wesam M. Ashour,”Data Clustering Using Wave Atom”, International Journal of Intelligent Systems and Applications (IJISA), vol.4, no.9, pp.39-45, Sept. 2012.  ISSN: 2074-904X. MECS. DOI: 10.5815/ijisa.2012.09.05.

[23] Osama A. Ghanem and Wesam M. Ashour, “ Stemming Effectiveness in Clustering of Arabic Documents,” International Journal of Computer Applications (IJCA), 49(5):1-6, July 2012. Published by Foundation of Computer Science, New York, USA

[22] Mahmoud E Alzaalan, Raed T Aldahdooh and Wesam Ashour. Article: EOPTICS “Enhancement Ordering Points to Identify the Clustering Structure”. International Journal of Computer Applications IJCA, 40(17):1-6, February 2012. Published by Foundation of Computer Science, New York, USA

[21] Ahmed J. Afifi and Wesam M. Ashour, “IMAGE RETRIEVAL BASED on CONTENT USING COLOR FEATURE,” ISRN Computer Graphics, vol. 2012, Article ID 248285, 11 pages, 2012. doi:10.5402/2012/248285

[20] Wesam M. Ashour and Motaz Murtaja, ” Finding within Cluster Dense Regions Using Distance Based Technique”,   International Journal of Intelligent Systems and Applications (IJISA),   vol.4, no.2, pp.42-48, 2012. ISSN: 2074-904X. MECS. DOI: 10.5815/ijisa.2012.02.05

[19] Mohammed A. H. Lubbad, Wesam M. Ashour, “Cosine-Based Clustering Algorithm Approach”, International Journal of Intelligent Systems and Applications (IJISA), vol.4, no.1, pp.53-63, 2012. ISSN: 2074-904X. MECS. DOI: 10.5815/ijisa.2012.01.07

[18] Mohammed El Agha, Wesam M. Ashour,”Efficient and Fast Initialization Algorithm for K-means Clustering”, International Journal of Intelligent Systems and Applications (IJISA), vol.4, no.1, pp.21-31, 2012. ISSN: 2074-904X. MECS. DOI: 10.5815/ijisa.2012.01.03

[17] Mohammad T. Elbatta, Raed M. Bolbol, and Wesam M. Ashour, “A Vibration Method for Discovering Density Varied Clusters,” ISRN Artificial Intelligence, vol. 2012, Article ID 723516, 8 pages, 2012. doi:10.5402/2012/723516

[16] Rami Jnena, Mohammed Timraz and Wesam M. Ashour. Avoiding Noise and Outliers in K-means, Computing and Information Systems, 15(2):69-78, 2011. ISSN 1352-9404.

[15] Rwand Ahmed, Eman El-Zaza and Wesam M. Ashour. Multi-Density DBSCAN Using Representatives:MDBSCAN-UR, Computing and Information Systems, 15(2):22-28, 2011. ISSN 1352-9404.

[14] Amer M. Elkourd and Wesam M. Ashour. A modified DBSCAN Clustering Algorithm, Computing and Information Systems, 15(2):09-13, 2011. ISSN 1352-9404.

[13] Mohammad F. Eltibi and Wesam M. Ashour. Initializing K-Means Clustering Algorithm using Statistical Information, International Journal of Computer Applications (IJCA), 29(7):51-55, 2011. ISBN: 978-93-80864-78-6. Published by Foundation of Computer Science, New York, USA

[12] Hadi A Alnabriss and Wesam M. Ashour. Avoiding Objects with few Neighbors in the K-Means Process and Adding ROCK Links to Its Distance, International Journal of Computer Applications (IJCA), 28(10):12-17, 2011. ISBN: 978-93-80864-70-4. Published by Foundation of Computer Science, New York, USA

[11] Alaa H. Ahmed and Wesam M. Ashour. An Initialization Method for the K-means Algorithm using RNN and Coupling Degree, International Journal of Computer Applications (IJCA), 25(1):1-6, 2011. ISBN: 978-93-80752-95-0. Published by Foundation of Computer Science, New York, USA

[10] Khaled Alnaji , Wesam M. Ashour. A Novel Clustering Algorithm Using K-means (CUK), International Journal of Computer Applications (IJCA), 25(1):25-30, 2011. ISBN: 978-93-80752-95-0. Published by Foundation of Computer Science, New York, USA.

[9] Ahmad Radwan and Wesam M. Ashour. Virtual Space Initialization Method for K-means Algorithm, Computing and Information Systems, 13(2):27-42, May 2009. ISSN 1352-9404.

[8] C. Fyfe, W. Barbakh, W. C. Ooi and H. Ko. Topological Mappings of Video and Audio Data. International Journal of Neural Systems (IJNS), 18(6): 1-9, December 2008.

[7] W. Barbakh and C. Fyfe. A Novel Construction of Connectivity Graphs for Clustering and Visualization, World Scientific and Engineering Academy and Social (WSEAS) TRANSACTIONS on COMPUTERS, 7(5): 424-434, May 2008, ISSN: 1109-2750.

[6] W. Barbakh and C. Fyfe, Online clustering algorithms, International Journal of Neural Systems (IJNS), 18(3): 1-10, 2008.

[5] W. Barbakh and C. Fyfe, Local vs global interactions in clustering algorithms: advances over K-means, International Journal of Knowledge-based and Intelligent Engineering Systems (KES), 12(2): 83-99, 2008. ISSN 1327-2314.

[4] W. Barbakh. Similarity graphs, Computing and Information Systems, 11(3):1-11, November 2007. ISSN 1352-9404.

[3] W. Barbakh and C. Fyfe. Inverse weighted clustering algorithm, Computing and Information Systems, 11(2)10-18, May 2007. ISSN 1352-9404.

[2] W. Barbakh. The family of inverse exponential k-means algorithms, Computing and Information Systems, 11(1):1-10, February 2007. ISSN 1352-9404.

[1] W. Barbakh and C. Fyfe. Performance functions and clustering algorithms, Computing and Information Systems, 10(2):2-8, May 2006. ISSN 1352-9404.

 

Conferences

[12] 1.Wesam AshourRiham Z. Muqat, Alaaeddin B. AlQazzaz and Saeb R. AbdElnabi. “Improve Basic Sequential Algorithm Scheme using Ant Colony Algorithm”, In 2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE), DOI: 10.1109/PICECE.2019.8747186, 26-27 March 2019 IEEE.

[11] Ahmed J. Afifi and  Wesam M. Ashour. “Content-Based Image Retrieval Using Invariant Color and Texture Features”, In the  2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), pages:1-6, Fremantle, Australia, 3-5 Dec, 2012. IEEE Catalog Number:CFP12397-ART. E-ISBN: 978-1-4673-2179-2.

[10] Wesam Ashour and Colin Fyfe. “Improving Clustering using Bregman Divergences”, In the 11th UK workshop on Computational Intelligence UKCI 2011, pages:144-149, University of Manchester, September 2011.

[9] Wesam Ashour and Saad Sunoallah. “Multi Density DBSCAN”, In International Conference on Intelligent Data Engineering and Automated Learning IDEAL 2011, pages 446-453, University of East Anglia, UK, September 2011. LNCS 6936. Springer.

[8] Motaz K. Saad and Wesam Ashour, “OSAC: Open Source Arabic Corpora”, 6th ArchEng International Symposiums, EEECS’10 the 6th International Symposium on Electrical and Electronics Engineering and Computer Science, pages 118-123, European University of Lefke, Cyprus, 2010

[7] Motaz K. Saad and Wesam Ashour, “Arabic Morphological Tools for Text Mining”, 6th ArchEng International Symposiums, EEECS’10 the 6th International Symposium on Electrical and Electronics Engineering and Computer Science, pages 112-117, European University of Lefke, Cyprus, 2010.

[6] Motaz K. Saad and Wesam Ashour, “Arabic Text Classification Using Decision Trees”, Proceedings of the 12th international workshop on computer science and information technologies CSIT’2010, Vol.2, Research Session 3 “Intelligent Systems”, pp. 75-79, Moscow – Saint-Petersburg, Russia, 2010.

[5] W. Barbakh and C. Fyfe. “Clustering and visualization with alternative similarity functions”. In The 7th WSEAS international conference on artificial intelligence, knowledge, engineering and data bases, AIKED’08, pages 238-244, University of Cambridge, UK, February 2008. ISSN: 1790-5109 ISBN: 978-960-6766-41-1

[4] W. Barbakh and C. Fyfe. “Clustering with reinforcement learning“, In International Conference on Intelligent Data Engineering and Automated Learning IDEAL07, pages 507-516, University of Birmingham, UK, December 2007. LNCS 4881. ISSN 0302-9743 ISBN 978-3-540-77225-5, Springer.

[3] W. Barbakh. Clustering and topology preserving mappings algorithms (Poster), In 3rd Annual Research Conference, University of the West of Scotland, UK, 9-10th May 2007.

[2] W. Barbakh, M. Crowe, and C. Fyfe. “A family of novel clustering algorithms“, In 7th International Conference on Intelligent Data Engineering and Automated Learning -7th IDEAL 2006, pages 283-290, University of Burgos, Spain, September 2006. ISSN 0302-9743 ISBN-13 978-3-540-45485-4, Springer.

[1] W. Barbakh. New weighted k-means algorithm for clustering (Poster), In Paisley University Research Conference, UK, 10th May 2006.

 

 

Book Chapters

[2] Book title: Similarity-Based Clustering: Recent Developments and Biomedical Applications Editors: M.Biehl, B.Hammer, M.Verleysen, T.Villmann. LNAI 5400, 2009 Chapter Title: Immediate Reward Reinforcement Learning for clustering and Topology Preserving Mappings. pp. 35-51 Authors: Colin Fyfe, Wesam Barbakh. Springer – verlag Berlin Heidelberg

[1] M. Pena, W. Barbakh and C. Fyfe. Principal Manifolds for Data Visualization and Dimension Reduction, volume ISBN 978-3540-73749-0, chapter Topology-Preserving Mappings for Data Visualisation, pages 132–152. Springer, 2007.

 

 

 Books

[1] Barbakh, Wesam Ashour; Wu, Ying and Fyfe, Colin

Non-Standard Parameter Adaptation for Exploratory Data Analysis

Springer, September 2009, ISBN: 978-3-642-04004-7.

 

 

Technical Reports

[2] W. Barbakh. Local versus global interactions in clustering algorithms. Technical Report 43, School of Computing, University of the West of Scotland, March 2007. ISSN 1461-6122.

[1] W. Barbakh and C. Fyfe. Tailoring local and global interactions in clustering algorithms. Technical Report 40, School of Computing, University of Paisley, March 2007. ISSN 1461-6122.

 

 

COMMISSIONS OF TRUST

I have been a reviewer/ member of program committees for the following:

  • The Journal of the Pattern Recognition Society, Elsevier.
  • International Journal of Geographical Information Science IJGIS, Australia
  • Journal of Engineering Research and Technology JERT, IUG, Palestine
  • International Conference on Promising Electronic Technologies ICPET – IEEE 2017.
  • The 12th International Conference on Intelligent Data Engineering and Automated LearningIDEAL 2011, UK 
  • The 5th International Conference on Information Technology (ICIT 2011), Jordan
  • The Conference of the Spanish Association for Artificial Intelligence 2011, CAEPIA’ 2011, Spain
  • The 3rd International Conference for Engineering and reconstructing Gaza – organizing committee
  • The 11th International Conference on Intelligent Data Engineering and Automated Learning IDEAL 2010, UK
  • The Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA-AIE 2010, Spain

 

 

Seminars and Presentations

[8] Data Clustering, July 2015, School of Computing, TU-Berlin 

[7] Improving clustering using Bregman divergences, September 2011, University of Manchester, UK

[6] Local vesus Global Interactions in Clustering Algorithms, 21-03-2010, Islamic University of Gaza, Palestine.

[5] Clustering with Reinforcement Learning, 17-12-2007, IDEAL’08 Conference, University of Birmingham, UK.

[4] Tailoring Local and Global Interactions in Clustering Algorithms, 02-05-2007, School of Computing, University of the West of Scotland, UK.

[3] A Family of Novel Clustering Algorithms, 21-09-2006, 7th IDEAL Conference, University of Burgos, Spain.

[2] Clustering Algorithms and Topology Preserving Algorithms, 01-09-2006, School of Computing, University of the West of Scotland, UK.

[1] Speech Recognition based on Lip Information, 10-11-2005, School of Computing, University of Paisley, UK.

Comments are closed.