Search Results - machine ((loading program) OR (((learning programme) OR (training programme))))

Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management by Aizat Hilmi Zamzam, Ayman Khallel Ibrahim Al-Ani, Ahmad Khairi Abdul Wahab, Khin Wee Lai, Suresh Chandra Satapathy, Azira Khalil, Khairunnisa Hasikin, Muhammad Mokhzaini Azizan

Needs versus wants: comparing job-related and personal needs of non-academic university employees for English language training by Chan, Mei Yuit, Lee, Geok Imm

“…In company-sponsored workplace training programmes, training developers have traditionally focused on employees' job-related needs when designing the training curriculum, in line with conventional wisdom in the practice of human resource development. …”
Get full text
Get full text
Get full text

A machine learning approach of predicting high potential archers by means of physical fitness indicators by Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Zahari, Taha

Get full text
Get full text
Get full text

A machine learning approach of predicting high potential archers by means of physical fitness indicators by Muazu Musa, Rabiu, Abdul Majeed, Anwar P.P., Taha, Zahari, Chang, Siow Wee, Ab. Nasir, Ahmad Fakhri, Abdullah, Mohamad Razali

Get full text
Get full text

The identification of high potential archers based on relative psychological coping skills variables: a support vector machine approach by Taha, Z., Musa, R.M., Majeed, A.P.P.A, Abdullah, M.R., Zakaria, M.A., Alim, M.M., Jizat, J.A.M., Ibrahim, M.F.

“…Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classification and prediction. …”
Get full text
Get full text
Get full text

Common mistakes in writing basic elements of C++ programming for dummies / Syarifah Adilah Mohamed Yusoff, Rozita Kadar and Saiful Nizam Warris by Mohamed Yusoff, Syarifah Adilah, Kadar, Rozita, Warris, Saiful Nizam

“…All of the students are categories as novice programmers due to has no official learning both in programming and computer essential. …”
Get full text
Get full text
Get full text

PLC system to optimize training device of upper limb spasticity / Nurul Atiqah Othman...[et al.] by Othman, Nurul Atiqah, Che Zakaria, Noor Ayuni, Mohd Ramli, Mohd Hanif

“…The proposed therapist education training simulator is driven and controlled by Programmable Logic Controller (PLC). …”
Get full text
Get full text
Get full text

PLC system to optimize training device of upper limb spasticity by Othman, Nurul Atiqah, Che Zakaria, Noor Ayuni, Mohd Ramli, Mohd Hanif, Hanapiah, Fazah Akhtar, Jingye, Yee, Cheng, Yee Low, Takashi, Komeda

“…The proposed therapist education training simulator is driven and controlled by Programmable Logic Controller (PLC). …”
Get full text
Get full text

The Identification of High Potential Archers Based on Fitness and Motor Ability Variables: A Support Vector Machine Approach by Zahari, Taha, Rabiu Muazu, Musa, Anwar, P. P. Abdul Majeed, Muhammad Muaz, Alim, Mohamad Razali, Abdullah

“…Support Vector Machine (SVM) has been shown to be an effective learning algorithm for classification and prediction. …”
Get full text
Get full text
Get full text

The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach by Zahari, Taha, Rabiu Muazu, Musa, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Muhammad Aizzat, Zakaria, Muhammad Muaz, Alim, Jessnor Arif, Mat Jizat, Mohamad Fauzi, Ibrahim

“…Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classification and prediction. …”
Get full text
Get full text

Automatic disease detection of basal stem rot using deep learning and hyperspectral imaging by Yong, Lai Zhi, Bejo, Siti Khairunniza, Jahari, Mahirah, Muharam, Farrah Melissa

“…The combination of hyperspectral image and machine learning approaches has a high detection potential for BSR. …”
Get full text
Get full text

The employment of support vector machine to classify high and low performance archers based on bio-physiological variables by Taha, Z., Musa, R.M., Majeed, A.P.P.A, Abdullah, M.R., Abdullah, M.A., Hassan, M.H.A., Khalil, Z.

“…The present study employs a machine learning algorithm namely support vector machine (SVM) to classify high and low potential archers from a collection of biophysiological variables trained on different SVMs. 50 youth archers with the average age and standard deviation of (17.0 +/-.056) gathered from various archery programmes completed a one end shooting score test. …”
Get full text
Get full text
Get full text

Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model by Abdullah, Prof. Madya Dr. Mohamad Razali

“…The present study classified and predicted high and low potential archers from a set of bio-physiological variables trained via a machine learning technique namely k-Nearest Neighbour (k-NN). 50 youth archers drawn from various archery programmes completed a one end archery shooting score test. …”
Get full text
Get full text

Manufacturing engineering education in IIUM by Ali, Mohammad Yeakub, Amin, A. K. M. Nurul, Haque, Md. Mohafizul

“…The faculty is cognizant of emerging technologies such as micro and nano manufacturing and has begun to incorporate in its curriculum. In addition, the programme has also adapted the outcome based learning in producing engineers ready for industry practices in the international scene. …”
Get full text
Get full text

Artificial Intelligence (AI) to predict dental student academic performance based on pre university results by Abdullah, Adilah Syahirah, Ahmad Amin, Afifah Munirah, Lestari, Widya, Sukotjo, Cortino, Utomo, Chandra Prasetyo, Ismail, Azlini

“…Successful graduation from the Bachelor of Dental Surgery programme is assessed through four Professional Exams. …”
Get full text
Get full text

The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables by Zahari, Taha, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Muhammad Amirul, Abdullah, M. H. A., Hassan, Zubair, Khalil

“…The present study employs a machine learning algorithm namely support vector machine (SVM) to classify high and low potential archers from a collection of bio-physiological variables trained on different SVMs. 50 youth archers with the average age and standard deviation of (17.0 ±.056) gathered from various archery programmes completed a one end shooting score test. …”
Get full text
Get full text
Get full text

Deep learning for an automated image-based stem cell classification by Nurul Syahira Mohamad Zamani, Hoe, Ernest Yoon Choong, Aqilah Baseri Huddin, Wan Mimi Diyana Wan Zaki, Zariyantey Abd Hamid

“…Most of the current software has common drawbacks, such as the expensive operating cost and complex machines. The purpose of this study is to investigate several selected convolutional neural network (CNN) pre-trained models to overcome these constraints for automated CFU classification. …”
Get full text
Get full text
Get full text

Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat by Fatima, Jannat

“…This work investigates the suitability and effectiveness of machine learning algorithms such as Multinomial Naive Bayes, KNN, Logistic Regression, Decision Tree for predicting levels of arousal intensity among the programmers and LSTM deep learning algorithm to classify the programmers according to their performance. …”
Get full text
Get full text
Get full text

Mixed integer goal programming model for flexible job shop scheduling problem (FJSSP) with load balancing / Shirley Sinatra Gran by Gran, Shirley Sinatra

“…FJSSP allows an operation to be processed by any machine out of a set of alternative machines. Thus, the objectives of this study are to analyze the production schedules and operations of the machines in FJSSP, to construct a load balancing constraint function, to formulate a Mixed Integer Goal Programming (MIGP) model to solve FJSSP with load balancing; and to propose an optimal production job shop scheduling strategies based on the solution model. …”
Get full text
Get full text

Prediction of future stock price using Recurrent Neural Network / Nur Izzah Atirah Mohd Ikhram by Mohd Ikhram, Nur Izzah Atirah

“…This study proposed a Recurrent Neural Network (RNN) model that uses a deep learning machine to forecast Malaysian Pacific Industries' (MPI) stock price in the future. …”
Get full text
Get full text