Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter von Bahiuddin, I, Mazlan, S A, Shapiai, I, Imaduddin, F, Ubaidillah, Choi, Seung-Bok

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A new constitutive model of a magneto-rheological fluid actuator using an extreme learning machine method von Bahiuddin, Irfan, Mazlan, Saiful A., Shapiai, Mohd. I., Choi, Seung-Bok, Imaduddin, Fitrian, Rahman, Mohd. A.A., Ariff, Mohd. H.M.

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Prediction of field-dependent rheological properties of magnetorheological grease using extreme learning machine method von Bahiuddin, Irfan, Wahab, Nurul AA, Shapiai, Mohd I, Mazlan, Saiful A, Mohamad, Norzilawati, Imaduddin, Fitrian, Ubaidillah

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Semiconductor defect classification by using cascaded convolutional neural network von Tajudin, P N A, Shapiai, M I

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A study of multiple reward function performances for vehicle collision avoidance systems applying the DQN algorithm in reinforcement learning von Zakaria, N J, Shapiai, M I, Wahid, N

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Analysis of a Multilevel Voltage-Based Coordinating Controller for Solar-Wind Energy Generator: A Simulation, Development and Validation Approach von Lachumanan, T., Singh, R., Shapiai, M. I., Anand, T. J. S.

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Smart embedded-analytics sensors with cloud-based measurement system for HVAC von Aseri, N. S. M., Ali, N., Yasin, M. N. M., Rashidi, C. B. M., Aljunid, S. A., Endut, R., Hambali, N. A. M. Ahmad, Shapiai, M. I.

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Waveguide for vortex mode generation in HVAC cloud management communication von Ali, N., Amphawan, A., Hafizalshah, M. Hariz, Aljunid, S. A., Endut, R., Rashidi, C. B. M., Yasin, M. N. M., Shapiai, M. I.

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Investigation on Different Kernel Functions for Weighted Kernel Regression in Solving Small Sample Problems von Shapiai, M. I., Sudin, S., Ibrahim, Z., Khalid, M.

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Artificial neural network - Naïve bayes fusion for solving classification problem of imbalanced dataset von Adam, A, Shapiai, M I, Ibrahim, Z, Khalid, M

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Enhanced Weighted Kernel Regression with Prior Knowledge in Solving Small Sample Problems von Shapiai, M. I., Sudin, S., Ibrahim, Z., Khalid, M.

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A Hybrid Artificial Neural Network-Naive Bayes for solving imbalanced dataset problems in semiconductor manufacturing test process von Adam, A., Lim Chun Chew, Shapiai, M. I., Lee Wen Jau, Ibrahim, Z., Khalid, M.

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Enhanced Nadaraya-Watson Kernel Regression: Surface Approximation for Extremely Small Samples von Shapiai, M. I., Ibrahim, Z., Khalid, M., Lee Wen Jau, Pavlovich, V.

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An Improved Two-Step Supervised Learning Artificial Neural Network for Imbalanced Dataset Problems von Shamsudin, H. C., Adam, A., Shapiai, M. I., Basri, M. A. M., Ibrahim, Z., Khalid, M.

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Recipe generation from small samples by weighted kernel regression von Shapiai, M I, Ibrahim, Z, Khalid, M, Lee Wen Jau, Soon-Chuan Ong, Pavlovich, V

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Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network von Adam, A, Ibrahim, Z, Mokhtar, N, Shapiai, M. I, Mubin, M

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DSPNet: A Self-ONN Model for Robust DSPN Diagnosis from Temperature Maps von Khandakar, Amith, Chowdhury, Muhammad E. H., Reaz, Mamun Bin Ibne, Kiranyaz, Serkan, Hasan, Md Anwarul, Rahman, Tawsifur, Ali, Sawal Hamid Md, Razak, Mohd Ibrahim bin Shapiai Abd, Bakar, Ahmad Ashrif A., Podder, Kanchon Kanti, Chowdhury, Moajjem Hossain, Faisal, Md Ahasan Atick, Malik, Rayaz A.

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Human action interpretation using convolutional neural network: a survey von Malik, Zainab, Shapiai, Mohd Ibrahim Bin

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3D shallow deep neural network for fast and precise segmentation of left atrium von Kausar, Asma, Razzak, Imran, Shapiai, Mohammad Ibrahim, Beheshti, Amin

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Exceptional performance with minimal data using a generative adversarial network for alzheimer's disease classification von Wong, Pui Ching, Abdullah, Shahrum Shah, Shapiai, Mohd Ibrahim

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