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Dr Taha Rassem

  • Post Doctoral Researcher
  • PH
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Journal Articles

  • Mohammed, B.A., Senan, E.M., Al-Mekhlafi, Z.G., Rassem, T.H., Makbol, N.M., Alanazi, A.A., Almurayziq, T.S., Ghaleb, F.A. and Sallam, A.A., 2022. Multi-Method Diagnosis of CT Images for Rapid Detection of Intracranial Hemorrhages Based on Deep and Hybrid Learning. Electronics (Switzerland), 11 (15).
  • Ahmed, I.A., Senan, E.M., Rassem, T.H., Ali, M.A.H., Shatnawi, H.S.A., Alwazer, S.M. and Alshahrani, M., 2022. Eye Tracking-Based Diagnosis and Early Detection of Autism Spectrum Disorder Using Machine Learning and Deep Learning Techniques. Electronics (Switzerland), 11 (4).
  • Al-Mekhlafi, Z.G., Senan, E.M., Rassem, T.H., Mohammed, B.A., Makbol, N.M., Alanazi, A.A., Almurayziq, T.S. and Ghaleb, F.A., 2022. Deep Learning and Machine Learning for Early Detection of Stroke and Haemorrhage. Computers, Materials and Continua, 72 (1), 775-796.
  • Senan, E.M., Jadhav, M.E., Rassem, T.H., Aljaloud, A.S., Mohammed, B.A. and Al-Mekhlafi, Z.G., 2022. Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning. Computational and Mathematical Methods in Medicine, 2022.
  • Ali, M.A.H., Rassem, T.H. et al., 2021. A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments. Expert Systems with Applications, 183.
  • Mohammed, B.A., Senan, E.M., Rassem, T.H., Makbol, N.M., Alanazi, A.A., Al-Mekhlafi, Z.G., Almurayziq, T.S. and Ghaleb, F.A., 2021. Multi-method analysis of medical records and mri images for early diagnosis of dementia and alzheimer’s disease based on deep learning and hybrid methods. Electronics (Switzerland), 10 (22).
  • Alalayah, K.M., Irshad, R.R., Rassem, T.H. and Mohammed, B.A., 2020. A New Fast Local Laplacian Completed Local Ternary Count (FLL-CLTC) for Facial Image Classification. IEEE Access, 8, 98244-98254.
  • Al-Shoukry, S., Rassem, T.H. and Makbol, N.M., 2020. Alzheimer's diseases detection by using deep learning algorithms: A mini-review. IEEE Access, 8, 77131-77141.
  • Shamaileh, A.M.D., Rassem, T.H., Chuin, L.S. and Sayaydeh, O.N.A., 2020. A New Feature-Based Wavelet Completed Local Ternary Pattern (Feat-WCLTP) for Texture Image Classification. IEEE Access, 8, 28276-28288.
  • Shamaileh, A., Rassem, T.H., Chuin, L.S. and Al Sayaydeh, O.N., 2019. Different local binary operators for texture classification: A comparative study. International Journal of Advanced Trends in Computer Science and Engineering, 8 (3), 889-896.
  • Shnan, M.A., Rassem, T.H. and Zulkifli, N.S.A., 2019. Facial image retrieval on semantic features using adaptive mean genetic algorithm. Telkomnika (Telecommunication Computing Electronics and Control), 17 (2), 882-896.
  • Yee, S.Y., Rassem, T.H., Mohammed, M.F. and Makbol, N.M., 2019. Performance evaluation of Completed Local Ternary Pattern (CLTP) for face image recognition. International Journal of Advanced Computer Science and Applications, 10 (4), 379-387.
  • Makbol, N.M., Khoo, B.E. and Rassem, T.H., 2018. Security analyses of false positive problem for the SVD-based hybrid digital image watermarking techniques in the wavelet transform domain. Multimedia Tools and Applications, 77 (20), 26845-26879.
  • Makbol, N.M., Khoo, B.E., Rassem, T.H. and Loukhaoukha, K., 2017. A new reliable optimized image watermarking scheme based on the integer wavelet transform and singular value decomposition for copyright protection. Information Sciences, 417, 381-400.
  • Mohammed, M.F. and Rassem, T.H., 2017. An ensemble of enhanced fuzzy min max neural networks for data classification. Telkomnika (Telecommunication Computing Electronics and Control), 15 (2), 942-948.
  • Rassem, T.H., Makbol, N.M. and Yee, S.Y., 2017. Face recognition using completed local ternary pattern (CLTP) texture descriptor. International Journal of Electrical and Computer Engineering, 7 (3), 1594-1601.
  • Rassem, T.H., Khoo, B.E., Makbol, N.M. and Alsewari, A.R.A., 2017. Multi-scale colour completed local binary patterns for scene and event sport image categorisation. IAENG International Journal of Computer Science, 44 (2), 197-211.
  • Rassem, T.H., Khoo, B.E., Mohammed, M.F. and Makbol, N.M., 2017. Medical, scene and event image category recognition using completed local ternary patterns (CLTP). Malaysian Journal of Computer Science, 30 (3), 200-218.
  • Makbol, N.M., Khoo, B.E. and Rassem, T.H., 2016. Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics. IET Image Processing, 10 (1), 34-52.
  • Rassem, T.H. and Khoo, B.E., 2015. Performance evaluation of new colour histogram-based interest point detectors. Multimedia Tools and Applications, 74 (24), 11357-11398.
  • Rassem, T.H. and Khoo, B.E., 2014. Completed local ternary pattern for rotation invariant texture classification. The Scientific World Journal, 2014.

Chapters

  • Hasan, A.M., Rassem, T.H. and Noor, N.M., 2020. A Review of Recent Trends: Text Mining of Taxonomy Using WordNet 3.1 for the Solution and Problems of Ambiguity in Social Media. Lecture Notes in Networks and Systems. 137-152.

Conferences

  • Sallam, A., Amery, H.A., Al-Qudasi, S., Al-Ghorbani, S., Rassem, T.H. and Makbol, N.M., 2021. Iris Recognition System Using Convolutional Neural Network. Proceedings - 2021 International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021, 109-114.
  • Rassem, T.H., Alkareem, F.A., Mohammed, M.F., Makbol, N.M. and Sallam, A., 2021. A New Wavelet Completed Local Ternary Count (WCLTC) for Image Classification. International Conference on Intelligent Technology, System and Service for Internet of Everything, ITSS-IoE 2021.
  • Yet, O.Z., Rassem, T.H., Rahman, M.A. and Rahman, M.M., 2021. Improved Attentive Pairwise Interaction (API-Net) for Fine-Grained Image Classification. 2021 Emerging Technology in Computing, Communication and Electronics, ETCCE 2021.
  • Hassan, R., Rahman, M.A., Ullah, I., Hamdan Alenezi, A. and Rassem, T.H., 2020. Identifying the Level of Diabetic Retinopathy Using Deep Convolution Neural Network. ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics.
  • Muttaleb Hasan, A., Mohd Noor, N., Hussein Rassem, T. and Hammood, W.A., 2020. A Combined Weighting for the Feature-Based Method on Topological Parameters in Semantic Taxonomy Using Social Media. IOP Conference Series: Materials Science and Engineering, 769 (1).
  • Rassem, T.H., Makbol, N.M. and Khoo, B.E., 2020. Performance Evaluation of Wavelet SVD-Based Watermarking Schemes for Color Images. Communications in Computer and Information Science, 1132 CCIS, 89-103.
  • Hasan, A.M., Rassem, T.H. and Noor, N.M., 2020. A semantic taxonomy for weighting assumptions to reduce feature selection from social media and forum posts. Advances in Intelligent Systems and Computing, 1073, 407-419.
  • Yee, S.Y., Rassem, T.H., Mohammed, M.F. and Awang, S., 2020. Face Recognition Using Laplacian Completed Local Ternary Pattern (LapCLTP). Lecture Notes in Electrical Engineering, 619, 315-327.
  • Hasan, A.M., Mohd Noor, N., Rassem, T.H. and Mohd Noah, S.A., 2020. A Proposed Method Using the Semantic Similarity of WordNet 3.1 to Handle the Ambiguity to Apply in Social Media Text. Lecture Notes in Electrical Engineering, 621, 471-483.
  • Rassem, T.H., Makbol, N.M. and Khoo, B.E., 2019. Object Class Recognition using Combination of Colour Dense SIFT and Texture descriptors. ACM International Conference Proceeding Series, 125-131.
  • Hasan, A.M., Rassem, T.H. and Noorhuzaimi Karimah, M.N., 2019. Combined support vector machine and pattern matching for arabic islamic hadith question classification system. Advances in Intelligent Systems and Computing, 843, 278-290.
  • Rassem, T.H., Alsewari, A.R.A. and Makbol, N.M., 2017. Texture image classification using wavelet completed local binary pattern descriptor (WCLBP). 7th International Conference on Innovative Computing Technology, INTECH 2017, 15-20.
  • Rassem, T.H., Makbol, N.M., Hasan, A.M., Zaki, S.S.M. and Girija, P.N., 2017. Restoring the missing features of the corrupted speech using linear interpolation methods. AIP Conference Proceedings, 1891.
  • Alsewari, A.R.A., Alazzawi, A.K., Rassem, T.H., Kabir, M.N., Ba Homaid, A.A., Alsariera, Y.A., Tairan, N.M. and Zamli, K.Z., 2017. ABC algorithm for combinatorial testing problem. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3-3 Special Issue), 85-88.
  • Rassem, T.H., Makbol, N.M. and Khoo, B.E., 2016. Performance evaluation of RDWT-SVD and DWT-SVD watermarking schemes. AIP Conference Proceedings, 1774.
  • Rassem, T.H., Mohammed, M.F., Khoo, B.E. and Makbol, N.M., 2015. Performance evaluation of Completed Local Ternary Patterns (CLTP) for medical, scene and event image categorisation. 2015 4th International Conference on Software Engineering and Computer Systems, ICSECS 2015: Virtuous Software Solutions for Big Data, 33-38.
  • Makbol, N.M., Khoo, B.E. and Rassem, T.H., 2014. Performance evaluation of SVD-based digital image watermarking scheme on print-scan and print-cam (PSPC) applications. 2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014, 48-53.
  • Rassem, T.H. and Khoo, B.E., 2011. New color image histogram-based detectors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7066 LNCS (PART 1), 151-163.
  • Rassem, T.H. and Khoo, B.E., 2011. Object class recognition using combination of color SIFT descriptors. 2011 IEEE International Conference on Imaging Systems and Techniques, IST 2011 - Proceedings, 290-295.
  • Rassem, H.T. and Girija, P.N., 2010. Missing features restoration using clustering methods. Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010, 123-126.