1. Jusoh, Ainin Sofia, Muhammad Akmal Remli, Mohd Saberi Mohamad, Cazenave, Tristan, Fong, Chin Siok. (2025-10). How generative Artificial Intelligence can transform drug discovery?. European Journal of Medicinal Chemistry , Vol. 295 . https://doi.org/10.1016/j.ejmech.2025.117825
  2. Harun Mukhtar, Muhammad Akmal Remli, Mohd Saberi Mohamad, Khairul Nizar Syazwan Wan Salihin Wong, Farhan Ridhollah, Deprizon, Soni, Muhammad Lisman, Hasanatul Fu'adah Amran, Sunanto, Edi Ismanto. (2025-04-01). Advanced tourist arrival forecasting: a synergistic approach using LSTM, Hilbert-Huang transform, and random forest. Indonesian Journal of Electrical Engineering and Computer Science , Vol. 38(1) , pp. 517-526. https://doi.org/10.11591/ijeecs.v38.i1
  3. Yulia Fatma, Muhammad Akmal Remli, Mohd Saberi Mohamad, Januar Al Amien. (2025-05). Deep learning-based cryptanalysis in recovering the secret key and plaintext on lightweight cryptography. Indonesian Journal of Electrical Engineering and Computer Science , Vol. 38(2) , pp. 1115-1123. https://doi.org/10.11591/ijeecs.v38.i2
  4. Hazman N.H., Zawawi R.M., Jusoh A.S., Muhammad Akmal Remli, Marieanne Christie Leong, Mohd Saberi Mohamad, Harun S.. (2025-02). PolarBytes: Advancing polar research with a centralized open-source data sharing platform. Environmental Modelling & Software , Vol. 185 . https://doi.org/10.1016/j.envsoft.2025.106325
  5. Tusher E.H., Ismail M.A., Akib A., Gabralla L.A., Ibrahim A.O., Som H.M., Muhammad Akmal Remli. (2025-06). Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection. PLOS ONE , Vol. 20 . https://doi.org/10.1371/journal.pone.0326488
  6. Wei, Xin, Hu, Siqin, Tu, Jian, Muhammad Akmal Remli. (2025). iKcr-DRC: prediction of lysine crotonylation sites in proteins based on a novel attention module and DenseNet. Frontiers in Genetics , Vol. 16 . https://doi.org/10.3389/fgene.2025.1574832
  7. Salmiah Aziz, Siti Maryam Sharun, Khairul Rijal Wagiman, Muhammad Akmal Remli, Taib Ibrahim, Nur 'izzati Binti Mohd Amin, Siti Nuratirah Che Mohd Nasir, Mohammed Fadzli Maharimi, Noorul Huda Mohd Razali, Nik Siti Fatimah Nik Hassin, Miranti Sari Rahma. (2025). Advancing Biocentric Architecture Through Smart Building Application. Journal of Advanced Research in Applied Sciences and Engineering Technology , Vol. 54(1) , pp. 313-330. https://doi.org/10.37934/araset.54.1.313330
  8. Chua Y.C., Nies H.W., Kamsani I.I., Hashim H., Yusoff Y., Chan W.H., Remli, M.A., Nies Y.H., Mohamad M.S.. (2024-06). AI-driven Q-learning for personalized acne genetics: Innovative approaches and potential genetic markers. Egyptian Informatics Journal , Vol. 26 . https://doi.org/10.1016/j.eij.2024.100484
  9. Soni, Remli, M.A., Daud, K.M, Al Amien, J. (2024-11). Improving imbalanced class intrusion detection in IoT with ensemble learning and ADASYN-MLP approach. Indonesian Journal of Electrical Engineering and Computer Science , Vol. 36(2) , pp. 1209 - 1217. https://doi.org/10.11591/ijeecs.v36.i2.pp1209-1217
  10. Soni., Remli, Muhammad Akmal, Daud K.M., Amien J.A.. (2024-07). Performance evaluation of multiclass classification models for ToN-IoT network device datasets. Indonesian Journal of Electrical Engineering and Computer Science , Vol. 35(1) , pp. 485 - 493. https://doi.org/10.11591/ijeecs.v35.i1.pp485-493
  11. Soni., Remli, M.A., Daud K.M., Al Amien, J.. (2024-06-20). Ensemble learning approach to enhancing binary classification in Intrusion Detection System for Internet of Things. International Journal of Electronics and Telecommunications , Vol. 70 (2) , pp. 465 - 472. https://doi.org/10.24425/ijet.2024.149567
  12. Choon, YW, Choon, YF, Nasarudin, NA, Al Jasmi, F, Remli, M.A., Alkayali, MH, Mohamad, MS. (2024-01). Artificial intelligence and database for NGS-based diagnosis in rare disease. FRONTIERS IN GENETICS , Vol. 14 . https://doi.org/10.3389/fgene.2023.1258083
  13. Adli, H.K., Remli, M.A., Wong K.N.S.W.S., Ismail, N. A., González-Briones, A., Corchado, J. M., Mohamad, M. S.. (2023). Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review. Sensors , Vol. 23(7) . https://doi.org/10.3390/s23073752
  14. Tan, Jun Bin, Choon, Yee Wen, Moorthy, K., Adli, H.K., Remli, M.A., Ismail, M. A., Ibrahim, Z., Mohamad, M. S.. (2023). A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli. International Journal of Modeling, Simulation, and Scientific Computing , Vol. 14(4) . https://doi.org/10.1142/S179396232350040X
  15. Mukhtar H., Remli, M.A., Wong K.N.S.W.S., Mohamad M.S.. (2023). Deep Learning With Processing Algorithms for Forecasting Tourist Arrivals. TEM Journal , Vol. 12(3) , pp. 1742 - 1753. https://doi.org/10.18421/TEM123-57
  16. Ismail, AM, Remli, MA, Choon, YW, Nasarudin, NA, Ismail, NSN, Ismail, MA, Mohamad, MS. (2023). Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway. Journal of integrative bioinformatics , Vol. 20 (2) . https://doi.org/10.1515/jib-2022-0051
  17. Othman, A, Remli, Muhammad Akmal, Ridzuan, Fakhitah, Ismail, Nor Alina. (2023). Exploring TVET Higher Education Towards Learning Analytics In Malaysia. Politeknik & Kolej Komuniti Journal of Social Sciences and Humanities 2023 , Vol. 8(1) , pp. 67¿81.
  18. Remli, M.A., Ismail, N.-S.N., Sahabudin, N.A., Warif, N.B.A.. (2022-08). Parameter Estimation in Computational Systems Biology Models: A Comparative Study of Initialization Methods in Global Optimization. International Journal of Advanced Computer Science and Applications , Vol. 13(8) , pp. 473-478. https://doi.org/10.14569/IJACSA.2022.0130854
  19. Mohd Fazzil, NA, Ibrahim, AA, Shareef, H, Zulkifley, MA, Remli, MA. (2022). Non-intrusive load monitoring for appliance status determination using feed-forward neural network. Przeglad Elektrotechniczny , Vol. 98 (4) , pp. 27 - 32. https://doi.org/10.15199/48.2022.04.6
  20. Abd Ghani, H., Farah Najwa Roslim, Remli, MA, Eissa Mohammed Mohsen Al-Shari, Nurul Izrin Md Saleh, Azizul Azizan. (2021-12). 5G NOMA user grouping using discrete particle swarm optimization approach. TELKOMNIKA Telecommunication, Computing, Electronics and Control , Vol. 19(6) , pp. 1803 - 1810. https://doi.org/10.12928/TELKOMNIKA.v19i6.18580
  21. Mazlan, AU, Sahabudin, NA, Remli, M.A., Ismail, NSN, Mohamad, MS, Nies, HW, Abd Warif, NB. (2021-08). A review on recent progress in machine learning and deep learning methods for cancer classification on gene expression data. PROCESSES , Vol. 9 (8) , pp. 1 - 12. https://doi.org/10.3390/pr9081466
  22. Nies H.W., Mohamad M.S., Zakaria Z., Chan W.H., Remli, MA, Nies Y.H.. (2021-09). Enhanced directed random walk for the identification of breast cancer prognostic markers from multiclass expression data. Entropy , Vol. 23 (9) . https://doi.org/10.3390/e23091232
  23. Shahzaq Qaiser, Yusoff N., Remli, M.A., Hasyiya Karimah Adli. (2021-04-05). A Comparison of Machine Learning Techniques for Sentiment Analysis. Turkish Journal of Computer and Mathematics Education , Vol. 12 , pp. 1738-1744. https://doi.org/10.17762/turcomat.v12i3.999
  24. Munirah, NA, Remli, MA, Ali, NM, Nies, HW, Mohamad, MS, Wong, K.N.S.S.. (2020-11). The Development of Parameter Estimation Method for Chinese Hamster Ovary Model using Black Widow Optimization Algorithm. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS , Vol. 11(11) , pp. 200-207.
  25. Abidin, NHZ, Remli, MA, Ali, NM, Phon, DNE, Yusoff, N, Adli, HK, Busalim, AH. (2020-11). Improving Intelligent Personality Prediction using Myers-Briggs Type Indicator and Random Forest Classifier. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS , Vol. 11(11) , pp. 192-199.
  26. Kunna M.A., Kadir T.A.A., Remli, M.A., Ali N.M., Moorthy K., Muhammad N.. (2020-08). An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli. Processes , Vol. 8(8) . https://doi.org/10.3390/PR8080963
Sumber data: MyScholar
  1. Indah Citra Sakinah, Harun Mukhtar, Muhammad Akmal Remli, Khairul Nizar Syazwan Wan Salihin Wong, Fitri Handayani,, Hasanatul Fu¿adah Amran,, Yandiko Saputra Sy, Soni. (2025-12). LSTM optimization with the Kalman filter algorithm for forecast tourist arrivals. In AIP Conference Proceedings . American Institute of Physics. https://doi.org/10.1063/5.0294829
  2. Yong, Mohd Izzata, Mohamad, Mohd Saberi, Choon, Yee Wen, Chan, Weng Howe, Adli, H.K., Syazwan K.N., Yusoff, Nooraini, Remli, Muhammad Akmal. (2022). A Hybrid of Bees Algorithm and Regulatory On/Off Minimization for Optimizing Lactate Production. In 15th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2021 , pp. 95 - 104. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86258-9_10
  3. Siow, Shen Yee, Mohamad, Mohd Saberi, Choon, Yee Wen, Remli, Muhammad Akmal, Majid, Hairudin Abdul. (2022). An Enhancement of Succinate Production Using a Hybrid of Bacterial Foraging Optimization Algorithm. In International Conference on Emerging Technologies and Intelligent Systems, ICETIS 2021 , pp. 591 - 601. Springer Science and Business Media Deutschland GmbH. https://doi.org/23673370
  4. Ghani, H.A., Roslim F. N., Al-Shari E. M. M., Remli, M.A., Saleh N. I. M., Yusoff, N., Adli, H.K., Wong K.N.S.W.S.. (2022). Discrete Particle Swarm Optimization for User Grouping in 5G NOMA Networks. In Lecture Notes in Networks and Systems , pp. 247 - 257. Springer. https://doi.org/10.1007/978-3-030-85990-9_21
  5. Mazlan A.U., Sahabudin N.A.B., Remli, M.A., Ismail N.S.N., Mohamad M.S., Warif N.B.A.. (2021-06). Supervised and Unsupervised Machine Learning for Cancer Classification: Recent Development. In 2021 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2021 - Proceedings , pp. 392-395. Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2CACIS52118.2021.9495888
  6. Aiman Al-Falah Muhd Yazid M., Azida Sahabudin N., Farihan Mat Raffei A., Akmal Remli M.. (2021-08). C Programming Skill Levels Determination Using Fuzzy Logic. In Proceedings - 2021 International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021 , pp. 399 - 404. Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSECS52883.2021.00079
  7. Warif, N.B.A, Azman, M.I.S.S., Ismail, N. S. S., Remli, M.A.. (2020). IoT-based Smart Parking System using Android Application. In ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics . IEEE. https://doi.org/10.1109/ETCCE51779.2020.9350914
Sumber data: MyScholar
  1. Adenuga, Kayode I., Adenuga, Rahmat O., Muhammad Akmal Remli, Oweye, Samuel O., Saeed, Naglaa. (2025-01). Smart Wearables: Revolutionizing Premier League Footballers with IoT and Blockchain Technology. In Securing Health: The Convergence of AI and Cybersecurity in Healthcare (pp. 58-75). CRC Press. https://doi.org/10.1201/9781003543596-5
  2. Kamarolzaman, Nurul Syifa, Haron, Habibollah, Choon, Yee Wen, Nasarudin, Nurul Athirah, Remli, M.A., Mohamad, Mohd Saberi. (2024-01-01). Hybridization of Simulated Kalman Filter and Minimization of Metabolic Adjustment for Succinate and Lactate Production. In Intelligent Systems of Computing and Informatics (pp. 233-249). CRC Press. https://doi.org/10.1201/9781003400387-15
  3. Hor Z.N., Mohamad M.S., Choon Y.W., Remli, M.A., Majid H.A.. (2024-01). A Hybrid of Differential Evolution and Minimization of Metabolic Adjustment for Succinic and Ethanol Production. In Big Data Analysis and Artificial Intelligence for Medical Sciences (pp. 205 - 217). wiley. https://doi.org/10.1002/9781119846567.ch10
  4. Mukhtar, Harun, Remli, M.A., Wong, K.N.S.S., Rizki, Yoze. (2024). Long-Short Term Memory (LSTM) Based Architecture for Forecasting Tourist Arrivals. In Studies in Systems, Decision and Control (pp. 585 - 600). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-49544-1_52
  5. Zanury N.A., Remli, MA, Adli, H.K., Wong, K.N.S.S.. (2022). Recent Developments of Deep Learning in Future Smart Cities: A Review. (pp. 199 - 212). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97516-6_11
  6. Tan, Tse Guan, Remli, M.A., Khairul Nizar Syazwan bin Wan Salihin Wong, Nurul Izrin Md Saleh, Hadhrami Ab Ghani, Nik Zulkarnaen Khidzir. (2021-10). Sub Modul: The Fourth Industrial Revolution (IR4.0). In Modul Amalan Baik Pendidikan Berasaskan Hasil (Outcome-based Education) Universiti Malaysia Kelantan (pp. 99-164). AKEPT dan Universiti Malaysia Kelantan.
Sumber data: MyScholar
  1. Muhammad Akmal Remli, Salmiah Aziz, Siti Fatimah Azahra Azhar, Mohamad Azanizam Alwi, Syahidatul Aqilah Mohd Supian, Mohammed Dauda Goni, Nooraziah Ahmad, Marieanne Christie Leong, Siti Salina Saidin, Suzana Shari, Nor Akma Shatilla Che Ab Hamid. (2025-01). AI Spectrum Bulletin: Artificial Intelligence (AI) in Entrepreneurship Education. UMK Corporate Publication.
  2. Muhammad Akmal Remli. (2025-10). Foreword by AIBIG Director. UMK Corporate Publication.
  3. Muhammad Akmal Remli, Salmiah Aziz, Siti Fatimah Azahra Azhar, Mohamad Azanizam Alwi, Mohammed Dauda Goni, Nooraziah Ahmad, Siti Salina Saidin, Suzana Shari, Nor Akma Shatilla Che Ab Hamid. (2025-10). AI Spectrum Bulletin : Humanizing Artificial Intelligence. UMK Corporate Publication.
  4. Muhammad Akmal Remli. (2024-07). Artificial Intelligence: Theory vs Application. UMK Corporate Publication.
  5. Muhammad Akmal Remli. (2024-01). Pembangunan Teknologi AI Perlu Selari Nilai Kemanusiaan, Adab. Berita Harian.
  6. Muhammad Akmal Remli. (2023-05-30). Wujudkan Kerjasama Universiti, Industri Hasilkan Ciptaan AI Unik. Berita Harian.
  7. Muhammad Akmal Remli, Salmiah Aziz, Mazlan Mohamed, Nooraziah Ahmad, Mohammed Dauda Goni, Marieanne Christie Leong. (2023). AI Spectrum Bulletin. UMK Corporate Publication.
  8. Muhammad Akmal Remli. (2023). Foreword by AIBIG Director. Institute for Artificial Intelligence and Big Data.
  9. Muhammad Akmal Remli. (2023). Generative AI (GenAI) and Large Language Model (LLM).
  10. Muhammad Akmal Remli. (2023). The Core of Artificial Intelligence Research at AIBIG. AIBIG, UMK.
  11. Muhammad Akmal Remli. (2021-01-06). Teknologi AI perlu jadi agenda utama pacu ekonomi negara. Berita Harian.
  12. Muhammad Akmal Remli, Yusoff, N. (2020-12-30). Harnessing Artificial Intelligence.
Sumber data: MyScholar
A NEW FORMULATION OF ANDROID MALWARE INTRUSION DETECTION SYSTEM MODEL TOWARDS CYBER SECURITY
MEMBER · FRGS-RACER · 2020
AN ENHANCED FEATURE SELECTION METHOD FOR MULTI-CLASS GENE EXPRESSION DATA USING RELAXED LASSO AND GENETIC ALGORITHM
HEAD · UMK-FUND · 2020
AN IMPROVED PENALIZED MACHINE LEARNING ALGORITHM WITH TOPOLOGY-BASED FEATURE SELECTION FOR BIOMARKERS DISCOVERY
MEMBER · KPT · 2020
AN ENHANCED COOPERATIVE PARALLEL METAHEURISTIC METHOD FOR PARAMETER ESTIMATION IN LARGE-SCALE BIOLOGICAL MODELS
MEMBER · FRGS-RACER · 2020
AN ENHANCED DEEP LEARNING ALGORITHM BASED ON STACKED DENOISING AUTOENCODER TO IDENTIFY THE INFORMATIVE FEATURES IN MULTI-OMICS DATA
MEMBER · FRGS-RACER · 2020
AN ENHANCED FEATURE SELECTION METHOD FOR MULTI-CLASS GENE EXPRESSION DATA USING RELAXED LASSO AND GENETIC ALGORITHM
HEAD · UMK-FUND · 2020
AN ENHANCEMENT OF PARTICLE SWARM OPTIMIZATION ALGORITHM FOR PARAMETER ESTIMATION IN COMPUTATIONAL SYSTEMS BIOLOGY MODELS
MEMBER · FRGS-RACER · 2020
COVID-FACE: PROTOTYPE OF FACIAL RECOGNITION TRACKING FOR COVID-19
MEMBER · UMK-FUND · 2020
COMPUTATIONAL MODELLING OF METAGENOMICS IN POLAR MICROBIOTA FOR BIOMARKERS DISCOVERY THROUGH GENERATIVE ARTIFICIAL INTELLIGENCE
HEAD · GRANT(I/A) · 2023
COVID-19 IMPACT ANALYSIS: IDENTIFYING PRINCIPAL FACTORS WITH ENSEMBLE MACHINE LEARNING METHODS
MEMBER · UMK-FUND · 2020
DEEP GENERATIVE ADVERSARIAL ALGORITHM WITH VARIATIONAL AUTOENCODERS FOR REALISTIC CONSTRUCTION OF NEW SYNTHETIC CELLS IN GENOMICS DATA
HEAD · GERAN ANTARABANGSA · 2023
IMPROVE THE CHATBOTS USING DEEP LEARNING TECHNIQUES
MEMBER · UMK-FUND · 2020
IMPROVED NON-DOMINATED SORTING DIFFERENTIAL SEARCH ALGORITHM AND FLUX BALANCE ANALYSIS FOR OPTIMIZING METABOLITES PRODUCTION AND GROWTH RATE OF MUTANTS (IMPROVED NDS-DSAFBA)
MEMBER · UMK-FUND · 2020
PRIVACY-PRESERVING IN PUBLISHING BIG DATA USING AN IMPROVED SLICING-BASED METHOD AND THE HYBRID FUZZY-JAYA OPTIMIZATION ALGORITHM
MEMBER · FRGS · 2022
USER GROUPING MECHANISM USING DISCRETE PARTICLE SWARM OPTIMIZATION FOR 5G NOMA SYSTEMS
MEMBER · UMK-FUND · 2020
CURRENT PRACTICES IN ALL AND COMPUTER VISION FOR INDUSTRY
MEMBER · 2022
PROJEK CURRENT PRACTICES IN AI AND COMPUTER VISION FOR INDUSTRY TELEKOM MALAYSIA BERHAD
MEMBER · 2022

Research Award(s)

4
S-IOTP: Integrated Solar-IoT Monitoring and Predictive Maintenance Systems for Irrigation
Award: GOLD · Role: Member
Exhibition: CRI 2021 UMK
S-IOTP: Integrated Solar-IoT Monitoring and Predictive Maintenance Systems for Irrigation
Award: GOLD · Role: Member
Exhibition: INTERNATIONAL EXHIBITION & SYMPOSIUM ON PRODUCTIVITY, INNOVATION, KNOWLEDGE, EDUCATION & DESIGN (i-SPiKE 2021)
High-Precision of Solar Tracking System For Smart Irrigation System using IoT
Award: SILVER · Role: Member
Exhibition: eCRI2020
Low Cost of Temperature-Controlled Apparatus For Pigment Extraction using Cloud Monitoring
Award: BRONZE · Role: Member
Exhibition: eCRI2020

Education(s)

4
(2018) UNIVERSITI TEKNOLGI MALAYSIA
IJAZAH DOKTOR FALSAFAH SAINS KOMPUTER
(2014) UNIVERSITI TEKNOLGI MALAYSIA
IJAZAH SARJANA SAINS SAINS KOMPUTER
(2006) UNIVERSITI TEKNOLGI MALAYSIA
IJAZAH SARJANA MUDA SAINS KOMPUTER
(2000) SEK MEN TEKNIK KUALA KRAI
SPM

Working Experience(s)

1
PENSYARAH KANAN
UNIVERSITI TEKNOLOGI MALAYSIA · 03-Sep-2018 - 08-Mar-2020

Courses Taught

Code Description
JFT10101 SEMINAR FOR INDUSTRIAL REVOLUTION 4.0
JFT10202 INTRODUCTION TO BIG DATA ANALYTICS
JIE31804 ARTIFICIAL INTELLIGENCE IN PRACTICE I
JIE32803 MACHINE LEARNING
JIE33004 PRACTICES IN ARTIFICIAL INTELLIGENCE II
JIE42903 EVOLUTIONARY COMPUTING
JIE43403 IMAGE PROCESSING AND COMPUTER VISION
JIT10203 FUNDAMENTAL OF PROGRAMMING
JIT21003 OBJECT-ORIENTED PROGRAMMING

Supervision

Artificial Intelligence in Data Learning for the Stock Market
MAIN Supervisor for a MASTER's Student
COMPUTATIONAL MODELLING OF METAGENOMICS IN POLAR MICROBIOTA FOR BIOMARKERS DISCOVERY THROUGH GENERATIVE ARTIFICIAL INTELLIGENT
MAIN Supervisor for a PHD's Student
Coyote Optimization Algorithm With Mixed-Integer Linear Programming For Multi-Destination Travel Planning In Indonesia
MAIN Supervisor for a MASTER's Student
DEEP GENERATIVE ADVERSARIAL ALGORITHM WITH VARIATIONAL AUTOENCODERS FOR REALISTIC CONSTRUCTION OF NEW SYNTHETIC CELLS IN GENOMICS DATA
MAIN Supervisor for a PHD's Student
DEEP LEARNING MODEL BASED ON GENERATIVE ADVERSARIAL NETWORK (GAN) TO PREDICT DRUG RESISTANCE IN HIV-1 SEQUENCE DATA
MAIN Supervisor for a MASTER's Student
DEEP TRANSFORMERS MODEL WITH ATTENTION RANKING AGGREGATION AND TECHNICAL INDICATORS FEATURES IN STOCK PRICE MOVEMENT PREDICTION OF BURSA MALAYSIA
MAIN Supervisor for a PHD's Student
DETEKSI DAN PENCEGAHAN PENIPUAN KARTU KREDIT ONLINE MENGGUNAKAN ANALISIS BIG DATA DAN MACHINE LEARNING
MAIN Supervisor for a PHD's Student
HYBRID MODEL BASED ON DEEP LEARNING FOR TOURIST ARRIVAL FORECASTING
MAIN Supervisor for a PHD's Student
Klasifikasi Data Citra Cuaca BMKG pada Wilayah Jakarta sebagai Rekomendasi Wisata dengan Algoritma Support Vector Machines (SVM)
MAIN Supervisor for a PHD's Student
NEW METAHEURISTIC OPTIMAZATION TO FORECAST FOR THE RISE OF FALL OF COMPANY'S STOCK PRICE BY USING MACHINE LEARNING APPROACH
MAIN Supervisor for a PHD's Student
PROACTIVE INVESTIGATION FRAMEWORK ON CLOUD COMPUTING ENVIRONMENT
MAIN Supervisor for a PHD's Student
RESEARCH ON ARTIFICIAL INTELLIGENCE PROMOTING TEACHING REFORM
MAIN Supervisor for a PHD's Student
Using Machine Learning Algorithms To Study Protein Post-translational Modification Site Prediction
MAIN Supervisor for a PHD's Student