Search Results - machines training problem

Extending the decomposition algorithm for support vector machines training by Zaki, N,M., Deris, S., Chin, K.K.

“…Numerical problems will cause the training to give non- optimal decision boundaries. …”
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Design of automated table tennis training machine by Shahrul Nizam Mat Sidik

A comparison of quadratic programming solvers in support vector machines training by Zaki, N. M., Deris, S., Chin, K. K.

“…Training a Support Vector Machine requires the solution of a very large quadratic programming problem. …”
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Enhanced extreme learning machine for general regression and classification tasks by Mahmood, Saif F

“…The performance of FASTA-ELM is evaluated on face gender recognition problem and the result is comparable to other state-of-theart methods, with significantly reduced training time. …”
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Lightweight block cipher security evaluation based on machine learning classifiers and active s-boxes by Lee T.R., Teh J.S., Jamil N., Yan J.L.S., Chen J.

Technology Entrepreneurship (ENT600) Training kit / Abdul Zahier Ismail, Muhammad Syafiq khusairi and Mohamad Nizar Mohd Naim by Ismail, Abdul Zahier, khusairi, Muhammad Syafiq, Mohd Naim, Mohamad Nizar

“…This product can reduce company cost for sending their staff for training. Staff will able to troubleshoot problem of machine after train using this machine. …”
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A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification by Wong S.Y., Yap K.S., Yap H.J., Tan S.C.

Work-based learning and capability development of machining workers in an automotive company by Mohd Yunus, Azmir

“…Engagement in product quality problem solving and machine maintenance tasks helped workers develop analytical and problem-solving skills, or higher-level skills, while deepening their interest in machining technology. …”
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Factors influencing plantation workers productivity: case study on Boustead Estates Agency Sdn Bhd / Cecilia Rijeg by Rijeg, Cecilia

“…The management need to further evaluate the used of machine and equipment in the estate to ensure that it should contribute to higher productivity and where applicable more training need to be conducted to train the workers on the benefit and proper use of machine and equipment and how they can increase productivity when they are equip with better machine and equipments.…”
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Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar by Abd Ghafar, Muhamad Azfar

“…In this paper, the energy and mean features are been selected. The SLFN is trained by an algorithm named Extreme Learning Machine (ELM). …”
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Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar by Abd Ghafar, Muhamad Azfar

“…In this paper, the energy and mean features are been selected. The SLFN is trained by an algorithm named Extreme Learning Machine (ELM). …”
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An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability by Bouke, Mohamed Aly, Abdullah, Azizol

“…We preprocess the data to create versions with and without pattern leakage and train and test six ML models: Decision Tree (DT), Gradient Boosting (GB), K-neighbours (KNN), Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR). …”
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A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood by Alwadood, Zuraida

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Heart murmur detection using supervised machine learning by Moulana, Saad Hafez, Luqman, Ahmad, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Wani, Sharyar, Ibrahim, Adamu Abubakar

“…When trained and validated, the algorithm showed results of that train score 70.0%, test score 68.0% and validation 70.0%.…”
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Diabetes prediction using machine learning / Muhammad Adib Mohd Nazri and Mahfudzah Othman by Mohd Nazri, Muhammad Adib, Othman, Mahfudzah

“…The increasing population has led to longer wait times for patients in the medical industry, particularly for diabetes check-ups. Machine learning technology can assist with speeding up the process of identifying diabetes by utilizing algorithms and techniques to train on previous data and predict potential problems. …”
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A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification by Wong, S.Y., Yap, K.S., Yap, H.J., Tan, S.C.

“…This paper presents a Hybrid Fuzzy ARTMAP (FAM) and Online Extreme learning machine (OELM), hereafter denoted as FAM-OELM, which enables online learning to start from the first trained data samples without having to set up an initialization phase which requires a chunk of data samples to be ready prior to training. …”
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Nurrinaz.co: case study: company analysis / Tengku Nur Akasyah Tuan Soh ... [et al.] by Tuan Soh, Tengku Nur Akasyah, Norzelan, Nurdina Husna, Salim, Intan Zulaikha, Razak, Nurulhuda

“…The second problem that Nurrinaz.Co is facing is lack of machine. …”
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Development of a novel zero point setting device for high speed and micro machining applications by Amin, A. K. M. Nurul, Mahmud, Md. Asif, Arif, Muammer Din, Derus, Nur Hidayah, Khamis, Siti Salwa

“…Thus, this device can play a vital role for precisely setting the zero point (or starting point) for micro-machining, and reducing the non-productive downtime of machine-tools and extra training of the relevant personnel. …”
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Hybrid Machine Translation Using Malay-English Language Parallel Text Extraction From Comparable Text by Yeong, Yin Lai

“…Firstly, we analysed using linguistic information in machine translation to compensate for the lack of data for training. …”
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Enhanced Conditional Generative Adversarial Network For Handling Subject Variability In Human Activity Recognition by Jimale, Ali Olow

“…Experiments on adult dataset only, experiments on elderly dataset only, and experiments on adult (as training) and elderly (as test) datasets were conducted using machine learning and deep learning. …”
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