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Mansour M. Alsulaiman

Professor

Faculty member, Department of Computer Engineering

علوم الحاسب والمعلومات
31 Building, 2nd Floor
المنشورات
مقال فى مجلة

Journal Publications

  1. Faisal, Mohammed, Mansour Alsulaiman, Mohammed Arafah, and Mohamed Amine Mekhtiche. "IHDS: Intelligent Harvesting Decision System for Date Fruit Based on Maturity Stage Using Deep Learning and Computer Vision." IEEE Access 8 (2020): 167985-167997.
  2. Al-Hammadi, Muneer, Ghulam Muhammad, Wadood Abdul, Mansour Alsulaiman, Mohamed A. Bencherif, and Mohamed Amine Mekhtiche. "Hand Gesture Recognition for Sign Language Using 3DCNN." IEEE Access 8 (2020): 79491-79509.
  3. Algabri, Mohammed, Hassan Mathkour, Mohamed Abdelkader Bencherif, Mansour Alsulaiman, and Mohamed Amine Mekhtiche. "Towards Deep Object Detection Techniques for Phoneme Recognition." IEEE Access 8 (2020): 54663-54680.
  4. Amin, S. U., Alsulaiman, M., Muhammad, G., Mekhtiche, M. A., & Hossain, M. S. (2019). Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion. Future Generation Computer Systems, 101, 542-554.
  5. Altaheri, H., Alsulaiman, M., Muhammad, G., Amin, S. U., Bencherif, M., & Mekhtiche, M. (2019). Date fruit dataset for intelligent harvesting. Data in brief, 26, 104514.
  6. Mahmood, A., Muhammad, G., Alsulaiman, M., Dhahri, H., Othman, E. M. A., & Faisal, M. (2019). Moving average multi directional local features for speaker recognition. Cluster Computing, 22(1), 2145-2157.
  7. Altaheri, H., Alsulaiman, M., & Muhammad, G. (2019). Date fruit classification for robotic harvesting in a natural environment using deep learning. IEEE Access, 7, 117115-117133.
  8. Syed Umar Amin, Mansour Alsulaiman, Ghulam Muhammad, M. A. Bencherif and M. Shamim Hossain, "Multilevel Weighted Feature Fusion Using Convolutional Neural Networks for EEG Motor Imagery Classification," IEEE Access, vol. 7, no. 1, pp. 18940-18950, December 2019. DOI: 10.1109/ACCESS.2019.2895688.
  9. M. Shamim Hossain, Syed Umar Amin, Mansour Alsulaiman, and Ghulam Muhammad, “Applying Deep Learning to Epilepsy Seizure Detection and Brain Mapping,” ACM Transactions on Multimedia Computing Communications and Applications, 2019.
  10. Muneer Al-Hammadi, Ghulam Muhammad, Wadood Abdul, Mansour Alsulaiman, and M. Shamim Hossain, “Hand Gesture Recognition Using 3D-CNN Model,” IEEE Consumer Electronics Magazine, 2019.
  11. Muhammad, Ghulam, Mohammed F. Alhamid, Mansour Alsulaiman, and Brij Gupta. "Edge Computing with Cloud for Voice Disorder Assessment and Treatment." IEEE Communications Magazine 56, no. 4 (2018): 60-65.
  12. Ali, Zulfiqar, Muhammad Imran, Mansour Alsulaiman, Muhammad Shoaib, and Sana Ullah. "Chaos-based robust method of zero-watermarking for medical signals." Future Generation Computer Systems (2018).
  13. Faisal M, Mathkour H, Alsulaiman M. I3MS: Intelligent Multi-Sensor Multi-Baseline Mapping System. IEEE Access. 2018 Jan 1.
  14. Ali Z, Imran M, Alsulaiman M, Zia T, Shoaib M. A zero-watermarking algorithm for privacy protection in biomedical signals. Future Generation Computer Systems. Volume 82, 2017 Dec 19, pp. 290-303.
  15. Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, et al., “Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms,” Journal of Healthcare Engineering, vol. 2017, Article ID 8783751, 13 pages, 2017.
  16. Wadood Abdul; Zulfiqar Ali; Sanaa Ghounzali; Mansour Alsulaiman, “Security and Privacy for Medical Images Using Chaotic Visual Cryptography”, Journal of Medical Imaging and Health Informatic, Issue 6, Volume 7, 2017, pp. 1296-1301.
  17. Ghulam Muhammad, Mansour Alsulaiman, Syed Umar Amin, Ahmed Ghoneim, and Mohammed F. Alhamid, “A Facial-Expression Monitoring System for Improved Healthcare in Smart Cities,” IEEE Access, vol. 5, no. 1, pp. 10871-10881, December 2017. DOI: 10.1109/ACCESS.2017.2712788.
  18. Zulfiqar Ali, Mansour Alsulaiman, Ghulam Muhammad, Irraivan Elamvazuthi, Ahmed Al-nasheri, Tamer A. Mesallam, Mohamed Farahat, and Khalid H. Malki, “Intra- and Inter-Database Study for Arabic, English, and German Databases: Do Conventional Speech Features Detect Voice Pathology?”, Journal of Voice, 2016. DOI: 10.1016/j.jvoice.2016.09.009.
  19. Mohammed Algabri, Hassan Mathkour, Mohamed Amine Mekhtiche, Mohamed Abdelkader Bencherif, Mansour Alsulaiman, Mohammed Amer Arafah, Hamid Ghaleb ,Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter, , International Journal of Distributed Sensor Networks, (2017) Vol 13, Issue 4.
  20. Ahmed Al-nasheri, Ghulam Muhammad, Mansour Alsulaiman, Zulfiqar Ali, Khalid H. Malki, Tamer A. Mesallam, and Mohamed Farahat, “Voice Pathology Detection and Classification using Auto-correlation and entropy features in Different Frequency Regions”, IEEE Access, 2017. DOI: 10.1109/ACCESS.2017.2696056.
  21. Zulfiqar Ali, Muhammad Talha and Mansour Alsulaiman, “A Practical Approach: Design and Implementation of a Healthcare Software for Screening of Dysphonic Patients”, IEEE Access, vol. 5, pp. 5844 - 5857 , 2017.
  22. Mohammed Algabri, Hassan Mathkour, Mohamed Bencherif, and Mansour Alsulaiman. "Automatic Speaker-Recognition for Mobile Forensic Applications." Mobile Information Systems, Volume 2017 (2017), Article ID 6986391.
  23. Zulfiqar Ali, Muhammad Imran, and Mansour Alsulaiman, “An Automatic Digital Audio Authentication/Forensics System”, IEEE Access, vol. 5, no. 1, pp. 2994–3007, 2017.
  24. Mansour Alsulaiman, Awais Mahmood, Ghulam Muhammad, “Speaker recognition based on Arabic phonemes,” Speech Communication, vol. 86, pp. 42-51, February 2017. DOI: 10.1016/j.specom.2016.11.004.
  25. Ghulam Muhammad; Mansour Alsulaiman; Zulfiqar Ali; Tamer A. Mesallam; Mohamed Farahat; Khalid H. Malki; Ahmed Al-nasheri; Mohamed A. Bencherif, "Voice Pathology Detection using Interlaced Derivative Pattern on Glottal Source Excitation," Biomedical Signal Processing and Control, Volume 31, 2017, pp. 156–164.
  26. Ahmed Al-nasheri; Ghulam Muhammad; Mansour Alsulaiman; Zulfiqar Ali; Tamer A. Mesallam; Mohamed Farahat; Khalid H. Malki; Mohamed A. Bencherif, “An Investigation of Multidimensional Voice Program Parameters in Three Different Databases for Voice Pathology Detection and Classification”, Journal of Voice, Issue 1, Volume 31, 2017, pp. 113.e9–113.e18.
  27. Mohammed Algabri, Mohamed Bencherif, Mansour Alsulaiman, Ghulam Muhammad, and Mohamed Amine Mekhtiche. "Soft Computing Techniques for Classification of Voiced/Unvoiced Phonemes." Intelligent Automation & Soft Computing (2017) .
  28. Ahmed Al-nasheri; Ghulam Muhammad; Mansour Alsulaiman; Zulfiqar Ali, “Investigation of Voice Pathology Detection and Classification on Different Frequency Regions Using Correlation Functions”, Journal of Voice, Issue 1, Volume 31, 2017, pp. 3-15. 
  29. Mohammed Faisal, Mansour Alsulaiman, Ramdane Hedjar, Hassan Mathkour, Mansour Zuair, Hamdi Altaheri, Mohammed Zakariah, M. A. Bencherif, and M. A. Mekhtiche  , " Enhancement of Mobile Robot Localization Using Extended Kalman Filter," Advances in Mechanical Engineering, vol. 8(11), pp. 1-11, 2016.
  30. M. Faisal, H. Mathkour, M. Alsulaiman, and M. Zuair, "Multi-sensors multi-baseline mapping system for mobile robot using stereovision camera and laser-range device," Advances in Mechanical Engineering, vol. 8(6), pp. 1-18, 2016.
  31. Mohammed Faisal, Hassan Mathkour, and Mansour Alsulaiman, “AntStar:  Enhancing Optimization Problems by Integrating an Ant System and Algorithm,” Scientific Programming, vol. 2016, Article ID 5136327, 12 pages, 2016. doi:10.1155/2016/5136327.
  32. Khalid Al-Muteb, Mohammed Faisal, Mansour Alsulaiman, Muhammad Emaduddin, Ramdane Hedjar, Hassan Mathkoor, Mohammed Algabri, Mohamed Mekhtiche, and M. A. Bencherif,” An Autonomous Stereovision-based Navigation System (ASNS) for Mobile Robots,” Intelligent Service Robotics, Vol. 9, no. 3, pp. 187–205, 2016
  33. Ghulam Muhammad, Ghadir Altuwaijri, Mansour Alsulaiman, Zulfiqar Ali, Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, Ahmed Al-nasheri, “Automatic Voice Pathology Detection and Classification using Vocal Tract Area Irregularity”, Biocybernetics and Biomedical Engineering, vol. 6, no. 2, pp. 309-317, 2016.
  34. Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, Ghulam Muhammad, “Detection of Voice Pathology using Fractal Dimension in a Multiresolution Analysis of Normal and Disordered Speech Signals”, Journal of Medical Systems, vol. 40, no. 1, p. 20, 2016.
  35. Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, Ghulam Muhammad, “Automatic Voice Pathology Detection with Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model”, Journal of Voice, vol. 30, no. 6 , pp. 757.e7-757.e19, 2016.
  36. Zulfiqar Ali, Mansour Alsulaiman, Irraivan Elamvazuthi, Ghulam Muhammad, Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, “Voice Pathology Detection based on the Modified Voice Contour and SVM”, Biologically Inspired Cognitive Architectures (BICA), vol. 15, pp. 10-18, 2016.
  37. Mohammed Algabri, Hassan Mathkour, Hedjar Ramdane, and Mansour Alsulaiman, “Comparative Study of Soft Computing Techniques for Mobile Robot Navigation in an Unknown Environment “, Computers in Human Behavior, Volume 50, September 2015, Pages 42-56, ISSN 0747-5632.
  38. K. Al-Mutib, F. Abdessemed, R. Hedjar, M. Alsulaiman, M.Bencherif, M. Faisal, M.Algabri, and M.Mekhtiche, “Mobile Robot Nonlinear Feedback Control Based on Elman Neural Network Observer”, Advances in Mechanical Engineering, December 2015; vol. 7, 12.
  39. M. Mekhtiche, Z. Benselama, M. Bencherif, M. Zakariah, Mansour Alsulaiman, R. Hedjar, M. Faisal, M. Algabri, and Khalid AlMuteb, “Visual Tracking in Unknown Environments Using Fuzzy Logic and Dead Reckoning,” International Journal of Advanced Robotic Systems, vol. 13, no. 2, 2016.
  40. Awais Mahmood, Mansour Alsulaiman, Ghulam Muhammad, Sheeraz Akram, “Artificially Intelligent Recognition of Arabic Speaker using Voice Print Based Local Features”, Journal of Experimental & Theoretical Artificial Intelligence, vol. 28, no. 6, 2016.  
  41. Al Mutib, K., Mattar, E., & Alsulaiman, M. (2015, January). Implementation of Fuzzy Decision Based Mobile Robot Navigation Using Stereo Vision. In SCSE (pp. 143-150).
  42. Mohammed Algabri, Hassan Mathkour, Hedjar Ramdane, Mansour Alsulaiman, Khalid Al-Mutib, “Self-learning Mobile Robot Navigation in Unknown Environment Using Evolutionary Learning”, Journal Of Universal Computer Science, vol. 20, no. 10, pp. 1459-1468, 2014.
  43. Foudil abdessemed, Mohammed Faisal, Muhammed Emaduddin, Ramdane Hedjar, Khalid Al-Mutib, Mansour Alsulaiman and Hassan Mathkour, "A Hierarchical Fuzzy Control Design for Indoor Mobile Robot," in International Journal of Advanced Robotic Systems,  vol. 11, no.33, 2014.
  44. Mansour Alsulaiman, “Voice Pathology Assessment Systems for Dysphonic Patients: Detection, Classification, and Speech Recognition”, IETE Journal of Research, vol. 60, no. 2, pp. 156-167, 2014.
  45. Awais Mahmood, Mansour Alsulaiman, and Ghulam Muhammad, “Automatic Speaker Recognition using Multi Directional Local Features (MDLF)”, Arabian Journal of Science and Technology, vol. 39, pp. 3799-3811, 2014.
  46. Mutib, M. Emaduddin, M. Alsulaiman, H. Ramdane, & E. Mattar, "Motion Periodicity based Pedestrian Detection and Particle Filter based Pedestrian Tracking using Stereo Vision Camera," International Journal of Computer Applications in Technology, Inderscience, vol. 50, no. 1-2, pp. 113-121, 2014.
  47. Mohammed Algabri, Hedjar Ramdane, Hassan Mathkour, Khalid AlMutib, and Mansour Alsulaiman, “Optimization of Fuzzy Logic Controller using PSO for Mobile Robot Navigation in an Unknown Environment", 2014, Applied Mechanics and Materials, 541-542, 1053.
  48. Mansour Alsulaiman, Ghulam Muhammad, Mohamed A. Bencherif, Awais Mahmood, Zulfiqar Ali, “ KSU Rich Arabic Speech Database”, Journal of Information, vol. 16, no. 6(B), 2013.
  49. M. Faisal, R. Hedjar, M. Alsulaiman and K. Mutib, "Fuzzy Logic Navigation and Obstacle Avoidance of Mobile Robot in Unknown Dynamic Environment" , International Journal of Advanced Robotic Systems, vol. 10, no. 37, 2013.
  50. Ghulam Muhammad, Tamer Mesallam, Khalid Almalki, Mohamed Farahat, Awais Mahmood, and Mansour Alsulaiman, “Multi Directional Regression (MDR) Based Features for Automatic Voice Disorder Detection,” Journal of Voice, Elsevier, vol. 26, no. 6, pp. 817.e19-e27, 2012.
  51. Muhammad, G.; AlMalki, K.; Mesallam, T.; Farahat, M.; Alsulaiman, M. and Bukhari, M. “Formant analysis in dysphonic patients and automatic Arabic digit speech recognition”, BioMedical Engineering Online, Vol. 10, No. 41, pp. 1-12, 2011. 
مزيد من المنشورات
publications
  1. Mekhtiche, Mohamed Amine, Mansour Mohammed A. Alsulaiman, Hassan Ismail H. Mathkour, Mohamed Abdelkader Bencherif, Mohammed Faisal Abdulqader Naji, Mohammed Mahdi Algabri, Ghulam Muhammad et…
publications
  1. Faisal, Mohammed, Mansour Alsulaiman, Mohammed Arafah, and Mohamed Amine Mekhtiche. "IHDS: Intelligent Harvesting Decision System for Date Fruit Based on Maturity Stage Using Deep Learning…
publications
  1. Amin, Syed Umar, Ghulam Muhammad, Wadood Abdul, Mohamed Bencherif, and Mansour Alsulaiman. "Multi-CNN Feature Fusion for Efficient EEG Classification." In 2020 IEEE International Conference…