Search Results - machine ((loading program) OR (learning programme))
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Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat
Published 2022“…This work investigates the suitability and effectiveness of machine learning algorithms such as Multinomial Naive Bayes, KNN, Logistic Regression, Decision Tree for predicting levels of arousal intensity among the programmers and LSTM deep learning algorithm to classify the programmers according to their performance. …”
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Thesis -
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Mixed integer goal programming model for flexible job shop scheduling problem (FJSSP) with load balancing / Shirley Sinatra Gran
Published 2014“…FJSSP allows an operation to be processed by any machine out of a set of alternative machines. Thus, the objectives of this study are to analyze the production schedules and operations of the machines in FJSSP, to construct a load balancing constraint function, to formulate a Mixed Integer Goal Programming (MIGP) model to solve FJSSP with load balancing; and to propose an optimal production job shop scheduling strategies based on the solution model. …”
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Development of the computer-aided diagram (CAD) for electrical machine for undergraduate purpose learning
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Undergraduates Project Papers -
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A Machine Learning Classification Application to Identify Inefficient Novice Programmers
Published 2023“…Data mining; Graphical user interfaces; Learning algorithms; Machine learning; Nearest neighbor search; Academic performance; Application layers; Computer science students; Educational data mining; Educational Institutes; K-near neighbor; Machine learning classification; Nearest-neighbour; Novice programmer; Productive tools; Students…”
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Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…While machine broken comes into account, it is found that machine unreliability can cause increasing machine-load variation and strengthen the system imbalance as well. …”
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Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management
Published 2024journal::journal article -
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Medium term load forecasting using evolutionary programming-least square support vector machine
Published 2023“…This paper presents new intelligent-based technique namely Evolutionary Programming- Least-Square Support Vector Machine (EP-LSSVM) to forecast a medium term load demand. …”
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Design and development of deep learning convolutional neural network on an field programmable gate array.
Published 2018“…This paper presents the design and development of Convolutional Neural Network on Field Programmable Gate Array. In the recent work of deep learning Convolutional Neural Network, CNN is a challenging research area in both software and hardware implementation. …”
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Koye kacang powder forming machine
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Conference or Workshop Item -
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A new technique for maximum load margin estimation and prediction
Published 2023“…This paper presents the application of Fast Artificial Immune System (FAIS) for maximum load margin estimation and hybrid Fast Artificial Immune Support Vector Machine (FAISVM) for maximum load margin prediction. …”
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Single phase induction motor studies using MATLAB / Izmir Mohd Yatim
Published 2007“…As the load varies, the characteristics of the machine will also vary. …”
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Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
Published 2014“…Finally, a novel hybrid Quantum-Inspired Evolutionary Programming - Least-Squares Support Vector Machine (QIEP-SVM) was presented. …”
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Solid shaft design using computer aided analysis / Mohd Nazir Ramli and Mohd Nafzanee Mohd Adnan
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Student Project -
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Hardware Implementation of Intelligent Traffic Light Controller
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Learning Object -
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An evolutionary programming approach to optimize synchronous generator input power using area-based transient stability indexes
Published 2023“…When a power system is subjected to significant transient disturbances, the machine may lose synchronism to the system. If this were to happen, the machine's rotor angle will undergo wide variations, voltage and frequency may deviate widely from normal values. …”
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Machine Learning (ML) assisted Edge security framework on FPGAs
Published 2023“…Also, Field Programmable Gate Arrays (FPGAs) can exploit Physical Unclonable Functions (PUFs) characteristics to generate and store authentication keys. …”
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