Search Results - machine learning programs

Genetic programming based machine learning in classifying public-private partnerships investor intention / Ahmad Amin ... [et al.] by Amin, Ahmad, Rahmawaty, Rahmawaty, Lautania, Maya Febrianty, Abdul Rahman, Rahayu

“…The PPP data was analyzed in this study using two machine learning approaches, Genetic Programming and conventional machine learning, with testing results showing that all machine learning algorithms from both approaches achieved high accuracy rates of over 80%, with the Genetic Programming machine learning outperformed the conventional approach. …”
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A new domain specific scripting language for automated machine learning pipeline by Masrom, S., Rahman, A.S.A., Omar, N., Baharun, N.

“…In light of this situation, automated machine learning pipeline is highly beneficial. Research has proved that Genetic Programming is highly useful to find the best pipeline of an automated machine learning model. …”
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Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

“…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. …”
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Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

“…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. …”
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Effects Of Machine-learning Programming Simulator On Performance, Engagement And Perceived Motivation Of University Students In Learning Programming by Astono, Putri Tansa Trisna

“…The two technologies—Machine Learning Programming Simulator (MLProgramming Simulator) and Non Machine Learning Programming Simulator (NoML-Programming Simulator)—were the independent variable in this study. …”
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Rapid software framework for the implementation of machine learning classification models by Rahman, A.S.A., Masrom, S., Rahman, R.A., Ibrahim, R.

“…However, to implement a complete machine learning model involves some technical hurdles such as the steep learning curve, the abundance of the programming skills, the complexities of hyper-parameters, and the lack of user friendly platform to be used for the implementation. …”
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Predictive analytics for learning performance in first-year university programming course by Kartiwi, Mira, Gunawan, Teddy Surya, Md Yusoff, Nelidya

“…This research aims to develop a machine learning model to predict student performance in programming courses offered within IT programs by analyzing gender, type of activity (readings, coding exercises, assignments), and frequency of access to different activities. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

“…The Machine Learning Method is utilized for this task, which gives the computer the ability to learn. …”
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PLC-based water filling machine simulator for teaching and learning activities / Kamaru Adzha Kadiran … [et al.] by Kadiran, Kamaru Adzha, Rifin, Rozi, Hussin, Mohamad Zhafran, Mat Saat, Ezril Hisham

“…The Omron PLC-Based Water Filling Machine Simulator has demonstrated remarkable success in enhancing teaching and learning activities in industrial automation. …”
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PLC-based water filling machine simulator for teaching and learning activities / Kamaru Adzha Kadiran … [et al.] by Kadiran, Kamaru Adzha, Rifin, Rozi, Hussin, Mohamad Zhafran, Mat Saat, Ezril Hisham

“…The Omron PLC-Based Water Filling Machine Simulator has demonstrated remarkable success in enhancing teaching and learning activities in industrial automation. …”
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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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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…”

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

“…There is also growing interest in modeling machine learning and deep learning algorithms that can learn from user’s data, understand and react to that individual’s affective state. …”
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Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem by Nishiigami, Wataru, Watada, Junzo, Prof. Dr., Shamshul Bahar, Yakoob, Assoc. Prof. Dr.

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

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Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

“…Each of these chatbots focuses on different programming concepts or constructs. These chatbots support learning of Java via problem-solving steps through “learning by doing”. …”
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Designing story card in extreme programming using machine learning technique by Yasin, Azman, Gaber, Shamsan, Omar, Mazni, Mohd, Haslina, Baharom, Fauziah, Md Din, Marina

“…Story card is one of the software development artifacts that can be used to gather requirements in extreme programming (XP).It can assists developers to translate and develop the system based on activities and rules stated in the story card.However, conventional XP story card framework or template is not well defined and only supports requirements in two or three sentences.It also does not states any information rather than system functionality.This may lead to conflicts, missing, and ambiguous requirements.In order to overcome this problem, Machine Learning is one of the techniques that can be used to extract the content from the list of requirements and produce the story cards based on the priority and rules of requirements.Thus, this study aims to to propose a new technique of designing story cards based on user requirements.The finding from the study is a conceptual model of designing story cards using machine learning technique.Future research will investigate how the technique adapt with the iterative changes of the requirements.…”
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Computer aided instruction for DC machine (using visual basic) / Suzana Mohd Zohdi by Mohd Zohdi, Suzana

“…This thesis presents a computer aided instruction (CAI) project, which assist undergraduate engineering students in learning dc machine. The project was developed using Visual Basic (VB) programming, an object-oriented programming language. …”
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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…”

Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail by Ismail, Najihah

“…Consequently, this study is intending to apply Support Vector Machine (SVM) classification which using Scikit-learn module for building classification. …”
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