Search Results - machine ((((learning programs) OR (training program))) OR (learning program))
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1
Performance Comparison of Parallel Execution Using GPU and CPU in SVM Training Session
Published 2023“…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…”
Conference Paper -
2
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…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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Thesis -
3
Artificial intelligence with scratch programming
Published 2021“…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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Book -
4
Measuring GPU-accelerated parallel SVM performance using large datasets for multi-class machine learning problem
Published 2023“…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…”
Conference Paper -
5
Common mistakes in writing basic elements of C++ programming for dummies / Syarifah Adilah Mohamed Yusoff, Rozita Kadar and Saiful Nizam Warris
Published 2020“…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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Article -
6
Ame Construction Sdn Bhd / Muhamad Imran Zaidon
Published 2021“…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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Monograph -
7
Current applications of machine learning in dentistry
Published 2022“…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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Book Chapter -
8
Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling
Published 2024“…Studies assessing the effects of core training programs in related racquet sports were also examined. …”
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9
Kernel methods and support vector machines for handwriting recognition
Published 2023Subjects:Conference paper -
10
Sanko Plastic Malaysia / Muhammad Haziq Darwisy Rohaizat
Published 2022“…For example, they can learn about new equipment and machine that they never see and learn during their study period.…”
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Monograph -
11
Resistor tester machine using Lightbus automation system
Published 2008“…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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Learning Object -
12
Work-based-learning company’s preferences for data Analytics students by using analytic hierarchy process (AHP)
Published 2023“…However, students’ abilities may vary depending on the specific program they are enrolled in. Considering the varying levels of knowledge, experience, and practical training needs among data analytics students, the study reveals that problem-solving skills ranked the highest followed by critical-thinking skills, data visualization skills, programming language, social skills, leadership skills, machine learning, and statistics. …”
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Undergraduates Project Papers -
13
Development of sensor-based machinery vibration assessment system for effective faults diagnostic in condition based maintenance using machine learning / Syed Mohd Syafiq Syed Mahm...
Published 2022“…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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14
Handwritten alphabets recognition system using Radial Basis Function Network / Mohd Afandi Yob
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Student Project -
15
A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…Therefore, a new classifier based on genetic programming (GP) and support vector machine (SVM) is proposed in this thesis in order to solve the imbalanced classification problem without changing the data properties. …”
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Thesis -
16
Impact learning: A learning method from feature's impact and competition
Published 2023“…Machine learning algorithms build a model from sample data, called training data, to make predictions or judgments without being explicitly programmed to do so. …”
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17
Malaysian Nuclear Agency / Nurulsafika Seman
Published 2022“…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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Monograph -
18
A new mobile botnet classification based on permission and API calls
Published 2024Subjects:Conference Paper -
19
Construction Noise Prediction Using Stochastic Deep Learning
Published 2022“…The programming algorithm of stochastic modelling was executed in MATLAB, whereas the deep learning model was established by using Python 3.6 programming language in Spyder. …”
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Final Year Project / Dissertation / Thesis -
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Impact learning : A learning method from feature’s impact and competition
Published 2023“…Machine learning algorithms build a model from sample data, called training data, to make predictions or judgments without being explicitly programmed to do so. …”
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