Items where Author is "Hasan, M.H."

Muneer, A. and Taib, S.M. and Hasan, M.H. and Alqushaibi, A. (2023) Colorectal Cancer Recognition Using Deep Learning on Histopathology Images. In: UNSPECIFIED.

Muneer, A. and Taib, S.M. and Hasan, M.H. and Alqushaibi, A. (2023) Colorectal Cancer Recognition Using Deep Learning on Histopathology Images. In: UNSPECIFIED.

Muppidi, A. and Hashim, A.S. and Hasan, M.H. and Muazu, A.A. (2023) A Conceptual UX Model for Designing and Developing the Business Intelligence Dashboards. Journal of Computer Science, 19 (12). pp. 1505-1519.

Talpur, N. and Abdulkadir, S.J. and Hasan, M.H. and Alhussian, H. and Alwadain, A. (2023) A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification. Computers, Materials and Continua, 74 (3). pp. 5799-5820. ISSN 15462218

Hui, T.X. and Kasim, S. and Fudzee, M.F.M. and Sutikno, T. and Hassan, R. and Aziz, I.A. and Hasan, M.H. and Jaafar, J. and Alharbi, M. and Sen, S.C. (2023) A Review of Random Walk-Based Method for the Identification of Disease Genes and Disease Modules. IEEE Access, 11. pp. 116366-116383. ISSN 21693536

Gandikota, N.S.K. and Hasan, M.H. and Jaafar, J. (2023) An adaptive metaheuristic approach for risk-budgeted portfolio optimization. IAES International Journal of Artificial Intelligence, 12 (1). pp. 305-314. ISSN 20894872

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A. (2022) Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey. Artificial Intelligence Review.

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A. (2022) Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey. Artificial Intelligence Review.

Khairuddin, S.H. and Hasan, M.H. and Akhir, E.A.P. and Hashmani, M.A. (2022) Generating type 2 trapezoidal fuzzy membership function using genetic tuning. Computers, Materials and Continua, 71 (1). pp. 717-734.

Khairuddin, S.H. and Hasan, M.H. and Akhir, E.A.P. and Hashmani, M.A. (2022) Generating type 2 trapezoidal fuzzy membership function using genetic tuning. Computers, Materials and Continua, 71 (1). pp. 717-734.

Malik, T.S. and Malik, K.R. and Sanaullah, M. and Hasan, M.H. and Aziz, N. (2022) Non-Cooperative Learning Based Routing for 6G-IoT Cognitive Radio Network. Intelligent Automation and Soft Computing, 33 (2). pp. 809-824.

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Abdullah, M.H.A. (2022) Optimizing deep neuro-fuzzy classifier with a novel evolutionary arithmetic optimization algorithm. Journal of Computational Science, 64.

Sanaullah, M. and Kashif, M. and Ahmad, B. and Safdar, T. and Hassan, M. and Hasan, M.H. and Haider, A. (2022) Sign Language to Sentence Formation: A Real Time Solution for Deaf People. Computers, Materials and Continua, 72 (2). pp. 2501-2519.

Kauser, S. and Malik, T.S. and Hasan, M.H. and Akhir, E.A.P. and Kazmi, S.M.H. (2022) Windows 10's Browser Forensic Analysis for Tracing P2P Networks' Anonymous Attacks. Computers, Materials and Continua, 72 (1). pp. 1251-1273.

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A. (2022) A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods. Neural Computing and Applications, 34 (3). pp. 1837-1875.

Talpur, N. and Abdulkadir, S.J. and Alhussian, H. and Hasan, M.H. and Aziz, N. and Bamhdi, A. (2022) A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods. Neural Computing and Applications, 34 (3). pp. 1837-1875.

Sanaullah, M. and Ahmad, B. and Kashif, M. and Safdar, T. and Hassan, M. and Hasan, M.H. and Aziz, N. (2022) A real-time automatic translation of text to sign language. Computers, Materials and Continua, 70 (2). pp. 2471-2488.

Khan, T. and Singh, K. and Hasan, M.H. and Ahmad, K. and Reddy, G.T. and Mohan, S. and Ahmadian, A. (2021) ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs. Future Generation Computer Systems, 125. pp. 921-943.

Zainuddin, Z. and P. Akhir, E.A. and Hasan, M.H. (2021) Predicting machine failure using recurrent neural network-gated recurrent unit (RNN-GRU) through time series data. Bulletin of Electrical Engineering and Informatics, 10 (2). pp. 870-878.

Amirruddin, A. and Aziz, I.A. and Hasan, M.H. (2020) Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset. International Journal of Advanced Trends in Computer Science and Engineering, 9 (5). pp. 7157-7164.

Gandikota, N.S.K. and Hasan, M.H. and Jaafar, J. (2020) Comparison between Conventional and Fuzzy Hypotheses Test Results for Parameter Treatment Effect for Heart Patients. In: UNSPECIFIED.

Azam, M.H. and Hasan, M.H. and Hassan, S. and Abdulkadir, S.J. (2020) Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means. In: UNSPECIFIED.

Qaiyum, S. and Aziz, I. and Hasan, M.H. and Khan, A.I. and Almalawi, A. (2020) Incremental interval type-2 fuzzy clustering of data streams using single pass method. Sensors (Switzerland), 20 (11). pp. 1-22.

Khairuddin, S.H. and Hasan, M.H. and Hashmani, M.A. (2020) Integration of cluster centers and gaussian distributions in fuzzy c-means for the construction of trapezoidal membership function. Mathematics and Statistics, 8 (5). pp. 559-565.

Aziz, N. and Akhir, E.A.P. and Aziz, I.A. and Jaafar, J. and Hasan, M.H. and Abas, A.N.C. (2020) A Study on Gradient Boosting Algorithms for Development of AI Monitoring and Prediction Systems. In: UNSPECIFIED.

Talpur, N. and Abdulkadir, S.J. and Hasan, M.H. (2020) A deep learning based neuro-fuzzy approach for solving classification problems. In: UNSPECIFIED.

Zailan, K.A.M. and Hasan, M.H. and Witjaksono, G. (2019) Variable step size least mean square optimization for motion artifact reduction: A review. Advances in Intelligent Systems and Computing, 985. pp. 182-190.

Zailan, K.A.M. and Hasan, M.H. and Witjaksono, G. (2019) Variable step size least mean square optimization for motion artifact reduction: A review. Advances in Intelligent Systems and Computing, 985. pp. 182-190.

Hasan, M.H. and Aziz, N.A. and Akhir, E.A.P. and Burhan, N.Z.N.M. and Razali, R. (2019) A fuzz logic-based cloud computing provider�s evaluation and recommendation model. Advances in Intelligent Systems and Computing, 843. pp. 230-239.

Hasan, M.H. and Aziz, N.A. and Akhir, E.A.P. and Burhan, N.Z.N.M. and Razali, R. (2019) A fuzz logic-based cloud computing provider�s evaluation and recommendation model. Advances in Intelligent Systems and Computing, 843. pp. 230-239.

Chee, C.-H. and Jaafar, J. and Aziz, I.A. and Hasan, M.H. and Yeoh, W. (2018) Algorithms for frequent itemset mining: a literature review. Artificial Intelligence Review. pp. 1-19.

Mohammad Zubir, W.M.A. and Abdul Aziz, I. and Jaafar, J. and Hasan, M.H. (2018) Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification. Advances in Intelligent Systems and Computing, 662. pp. 173-184.

Mohammad Zubir, W.M.A. and Abdul Aziz, I. and Jaafar, J. and Hasan, M.H. (2018) Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification. Advances in Intelligent Systems and Computing, 662. pp. 173-184.

Jaafar, J. and Gilal, A.R. and Omar, M. and Basri, S. and Aziz, I.A. and Hasan, M.H. (2018) A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams. Advances in Intelligent Systems and Computing, 661. pp. 304-314.

Jaafar, J. and Gilal, A.R. and Omar, M. and Basri, S. and Aziz, I.A. and Hasan, M.H. (2018) A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams. Advances in Intelligent Systems and Computing, 661. pp. 304-314.

Ismail, N.F. and Hasan, M.H. and Mustapha, E.E. (2018) Technology use, emotional connection and their relationship: A literature review. Journal of Theoretical and Applied Information Technology, 96 (1). pp. 127-139.

Hasan, M.H. and Akhir, E.A.P. and Aziz, N.A. and Aziz, I.A. and Jaafar, J. (2018) An analysis of parallelization in mamdani- and sugeno-type quality of web service fuzzy monitoring models. Journal of Theoretical and Applied Information Technology, 96 (3). pp. 722-731.

Ismail, N.F. and Hasan, M.H. and Mustapha, E.E. (2017) Literature review on technology usage and emotional connection among children. International Conference on Research and Innovation in Information Systems, ICRIIS.

Hasan, M.H. and Jaafar, J. and Hassan, M.F. (2016) Fuzzy C-Means and two clusters' centers method for generating interval type-2 membership function. In: UNSPECIFIED.

Hasan, M.H. and Jaafar, J. and Aziz, I.A. and Rahim, L.A.B. (2016) A review on a high performance computing-based interval fuzzy type-2 model for web services' QoS evaluation. In: UNSPECIFIED.

Hasan, M.H. and Jaafar, J. and Hassan, M.F. (2014) Development of Web services fuzzy quality models using data clustering approach. Lecture Notes in Electrical Engineering, 285 LN. pp. 631-640.

Hasan, M.H. and Jaafar, J. and Hassan, M.F. (2014) Experimental study on the effective range of FCM's fuzzifier values for web services' QoS data. In: UNSPECIFIED.

Hasan, M.H. and Jaafar, J. and Hassan, M.F. (2014) Monitoring web services� quality of service: a literature review. Artificial Intelligence Review, 42 (4). pp. 835-850.

Latif, N.A. and Hassan, M.F. and Hasan, M.H. (2009) Interaction Protocol For Agent-Based E-Learning System. In: 11th International Conference on Information Integration and Web-Based Applications & Services (iiWAS 2009), 14-16 December 2009, Kuala Lumpur.

Latif, N.A. and Hassan, M.F. and Hasan, M.H. (2009) Utilizing Electronic Institution For Protocol Specification In Agent-Based E-Learning System. In: IEEE Student Conference On Research and Development (SCOReD 2009), 16-18 November 2009, Serdang, Selangor, Malaysia..

Latif, N.A. and Hassan, M.F. and Hasan, M.H. (2008) Automated Notification and Document Downloading in E-Learning – Development of an Agent-Based Framework Utilizing the Push-Pull Technology Interaction Policy. In: International Symposium on Information Technology 2008, ITSim'08, 26 - 29 August 2008, Kuala Lumpur.