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

Development of the computer-aided diagram (CAD) for electrical machine for undergraduate purpose learning by Mohd Syafiq, Mohd Fuad

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Implementation of Health Monitoring System for Patients using Machine Learning Algorithms by Hariprasad, U.S., UshaSree, R.

“…Additionally, to enhance overall equipment effectiveness (OEE), lower electricity costs, and decrease unplanned downtime in manufacturing settings, we created a real-time system leveraging smart systems and machine learning. During testing on a manufacturing blender, this device tracked operational phases and load-balancing conditions well. …”
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Performance Comparison of Parallel Execution Using GPU and CPU in SVM Training Session by Salleh N.S.M., Baharim M.F.

“…Application programming interfaces (API); Array processing; Artificial intelligence; Benchmarking; Computer graphics; Image coding; Learning systems; Multiprocessing systems; Parallel processing systems; Program processors; Vectors; CUDA; Graphics processing units; Machine learning approaches; OpenMP; Performance analysis; Performance comparison; Symmetric multi-processors; UCW dataset; Support vector machines…”

Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

“…ANN is a computer-based simulation of the living nervous system which works quite differently from conventional programming. The design network is trained by presenting several target machining data that the network must learn according to a learning rule (algorithm). …”
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Artificial intelligence with scratch programming by Toha, Siti Fauziah, Ibrahim, Azhar Mohd, Azmi, Nur Liyana, Abu Hanifah, Rabiatuladawiah, Abdul Malik, Muhammad Hafizi, Mohd Romlay, Muhammad Rabani

“…Among the important branches of AI is ‘machine learning’ and further the annotation of ‘deep learning’ intertwined which is the ability of machines that are able to 'learn' to be smart. …”
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Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling by Ma, Shuzhen, Geok Soh, Kim, Japar, Salimah, Xu, Simao, Zhicheng, Guo

“…Studies assessing the effects of core training programs in related racquet sports were also examined. …”
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Measuring GPU-accelerated parallel SVM performance using large datasets for multi-class machine learning problem by Sulaiman M.A.H.B., Suliman A., Ahmad A.R.

“…Artificial intelligence; Computer graphics; Computer graphics equipment; Data mining; Learning systems; Parallel processing systems; Program processors; Quadratic programming; Computational time; GPU-accelerated; Graphics Processing Unit; Machine learning problem; Performance measurements; Real-time forecasting; Support vector machine (SVMs); Viable solutions; Support vector machines…”

Ame Construction Sdn Bhd / Muhamad Imran Zaidon by Zaidon, Muhamad Imran

“…Industrial Training is a compulsory requirement for student in certain programs at all level of higher education in Institution of Higher Learning . …”
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Kernel methods and support vector machines for handwriting recognition by Ahmad A.R., Khalid M., Yusof R.

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Current applications of machine learning in dentistry by Ghazali, Ahmad Badruddin, Reduwan, Nor Hidayah, Ibrahim, Roliana

“…ML programs can improve from experience automatically, unlike traditional computer programming, where every step of the program requires a written code (Mayo & Leung, 2018). …”
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Sanko Plastic Malaysia / Muhammad Haziq Darwisy Rohaizat by Rohaizat, Muhammad Haziq Darwisy

“…For example, they can learn about new equipment and machine that they never see and learn during their study period.…”
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Resistor tester machine using Lightbus automation system by Sommar Achin

“…This project consist three main part such as hardware, software and program. On the hardware session is devide into two sub division such as hardware for lightbus system and hardware for the Resistor Tester Machine. …”
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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. …”
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A New Approach of Adaptive Network-based Fuzzy Inference System Modeling in Laser Processing-A Graphical User Interface Based by Sivarao, Subramonian

“…MATLAB 2007B, integrating artificial intelligent system and Graphical User Interface (GUI) has reduced researchers’ fear-to-model factor due to unfamiliarity and phobia to produce program codes. Approach: In this study, how GUI was developed on Matlab to model laser machining process using Adaptive Network based Fuzzy Inference System (ANFIS) was presented. …”
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Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin by Mat Yasin, Zuhaila

“…Finally, a novel hybrid Quantum-Inspired Evolutionary Programming - Least-Squares Support Vector Machine (QIEP-SVM) was presented. …”
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Single phase induction motor studies using MATLAB / Izmir Mohd Yatim by Mohd Yatim, Izmir

“…Simulation of a single phase induction machine will be performed by M-File programming and Simulink. …”
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Malaysian Nuclear Agency / Nurulsafika Seman by Seman, Nurulsafika

“…The last chapter concluded about the training throughout these 24 weeks. This training gives students a good experience in handling machine, communicate with people, ethics, and safety. …”
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Development of sensor-based machinery vibration assessment system for effective faults diagnostic in condition based maintenance using machine learning / Syed Mohd Syafiq Syed Mahm... by Syed Mohd Syafiq, Syed Mahmud

“…Therefore, the advance monitoring system that can diagnose the machinery fault is developed to supervise machine condition effectively. The system is build based on sophisticated deep learning program language by using modern python program to provide an assist and support in supervised the trend, performance of the machine and provide recommend decision. …”
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Handwritten alphabets recognition system using Radial Basis Function Network / Mohd Afandi Yob by Yob, Mohd Afandi

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Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele B.V., Mustapa S.I., Kanthasamy R., Mohammad N., AlTurki A., Babu T.S.

“…Biomass; Catalysis; Digital storage; Gasification; Gaussian distribution; Hydrogen production; Learning algorithms; Lime; Palm oil; Quadratic programming; Regression analysis; Sensitivity analysis; Synthesis gas; Co-gasification; Gaussian process regression; Hydrogen-rich syngas; Machine learning algorithms; Non-linear response; Performance; Quadratic modeling; Renewable energies; Support vectors machine; Syn gas; Support vector machines…”