Search Results - machine ((((planning program) OR (loading problem))) OR (learning program))

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

“…Therefore, giving basic education on programming language to primary and secondary school is one of strategic planning in Education 5.0. …”
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Career recommender system in Malaysia using content-based filtering / Muhammad Luqman Shamsul by Shamsul, Muhammad Luqman

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Enhancing lifelong learning: A data-driven dashboard approach for strategic decision-making at Universiti Malaysia Pahang Al-Sultan Abdullah by Rosilavi, Mat Jusoh, Zetty Ain, Kamaruzzaman, Galuh Tresna, Murti

“…The purpose of this study was to develop a dashboard with information visualisation for the lifelong learning (LLL) programs at Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) and provide recommendations for UMPSA to improve the strategies and decision-making for future LLL program offerings. …”
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Construction Noise Prediction Using Stochastic Deep Learning by Ooi, Wei Chien

“…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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The education industry could significantly benefit from the disruptive breakthrough that is Artificial Intelligence (AI) / Fakrulnizam Jafri by Jafri, Fakrulnizam

“…Artificial intelligence has spawned several subfields, one of which is machine learning, in which computers may learn on their own and carry out tasks. …”
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Comparison of machine learning classifiers for accurate prediction of real-time stuck pipe incidents by Khan, J.A., Irfan, M., Irawan, S., Yao, F.K., Shokor Abdul Rahaman, Md., Shahari, A.R., Glowacz, A., Zeb, N.

“…These drilling parameters include information such as the properties of the drilling fluid, bottom-hole assembly (BHA) specification, state of the bore-hole and operating conditions. The R programming software was used to construct both the ANN and SVM machine learning models. …”
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Mixed integer goal programming model for flexible job shop scheduling problem (FJSSP) with load balancing / Shirley Sinatra Gran by Gran, Shirley Sinatra

“…The MIGP model formulated is to solve FJSSP with three objective functions, which are to minimize the makespan, the total machining time and the mean absolute deviation of the total machining time to achieve machine’s load balancing. …”
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Is data scientist still the sexiest job for 2024? / Tuan Norhafizah Tuan Zakaria by Tuan Zakaria, Tuan Norhafizah

“…Data Science is a field that combines mathematics and statistic, specialised programming, advanced analytics, artificial intelligence, and machine learning with a specific domain to discover interesting, hidden patterns in an organisation’s data. …”
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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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Simulation program for 4th axis CNC machining in NX CAM system by Mohamad, M. H., M. Nafis, O. Z.

“…This paper presents the development of a simulation program to improve the process planning and simulation for 4th axis machining in NX CAM systems. …”
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

“…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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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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Development of capability-based virtual cellular manufacturing systems in dual-resource constrained settings over semi-distributed layouts by Hamedi, Maryam

“…In addition, by considering the developed system in DRC settings, in all test problems, the dissimilarity of parts assigned to a cell and load unbalances among cells decreased in average 12.41% and 41.48% respectively compared to the same system without DRC settings.…”
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Development of machining simulation application using visual basic programming in NX CAM system environment by M. Nafis, O. Z., Mohamad Hafiz, Mohamad

“…The results indicate that the developed programs are capable to optimize 4th axis machining simulation by reducing the processing steps and time with minimum process planning tasks.…”
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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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Advanced computer aided manufacturing applications for turning processes by Tan, Beng Hwang

“…The main purpose of the developed user interface program is to assist the process planning tasks in turning machining for construct machining program with minimum time and minimalize the need of skilled user in the process. …”
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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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