Search Results - (( program during rules algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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An investigation into influence factor of student programming grade using association rule mining
Published 2010“…They were required to enroll introductory programming subject as requirement to graduate . The dataset consisting of 4 19 records with 70 attributes were pre-processed and then mined using directed association rule mining algorithm namely Apriori. …”
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Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach
Published 2014“…By hybridizing Evolutionary Programming (EP) with Interactive Evolutionary Algorithm (IEA), game rules and its playing environment will be automatically generated for an arcade-type game that can be played on the Android mobile platform. …”
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UiTM panic button using location-based Algorithm / Fatin Munirah Musa
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Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
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Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance
Published 2021“…However, during the computation, pitfalls can occur in three terms: the case of a tie in replacing variables due to no rigid rule, lengthy amount of recurring calculations and lengthy number of successor tableau. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. ANN is a computer-based simulation of the living nervous system which works quite differently from conventional programming. …”
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Pattern extraction for programming performance evaluation using directed apriori
Published 2009“…Several researches indicated that there are many factors which can affect student programming performance.Thus, the objective of this paper is to investigate the significant factors that may influence students programming performance using information from previous student performance.Since data mining data analysis able to discover hidden knowledge in database, a programming dataset which comprises information about performance profile of Bachelor of Information Technology students of Faculty of IT, Universiti Utara Malaysia in the year 2004-2005 were explored using data mining technique.The dataset consists of 421 records with 70 mixture type of attributes were pre-processed and then mined using directed association rule (AR) mining algorithm namely apriori.The result indicated that the student who has a programming experience in advanced before starts learn programming in university and scored well in Mathematics and English subject during SPM were among the factor that contributes to a good programming grades.…”
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Exploration of educational building with cultural elements using shape grammar
Published 2013“…This new concept can uniquely represent a particular educational building characteristic. During the design process, other rules are activated to embed new shapes within the basic building block. …”
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Undergraduates Project Papers -
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Intelligent muslim prayer counter with programmable interface controller (PIC)
Published 2014“…The design is also focus on the suitability for all different size of user and the design of algorithm used to program the PIC chip. By using PIC algorithm, there are more improvement can be made in future based on further value added requirement request by user or manufacturer.…”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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A reliable time base routing framework with seamless networking operation for SDN / Nauman Khan
Published 2024“…It is framed as a mixed-integer linear programming problem. To address this complexity, this work presents a multi-objective heuristic algorithm in the framework with the help of other module inputs that efficiently determines the best path for upcoming affected flows and timely isolates the maintenance switch except for the critical switch. …”
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Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…As the integrated scheduling of handling equipment is a “non-deterministic polynomialtime hard” (NP-hard) problem and also the computation time and ease of application are so important for real practices of the scheduling methods, So a meta-heuristic algorithm based on Genetic Algorithm is developed, in which, new operators create solutions considering the constraints of the problem and also a heuristic rule proposed which assigns the ALVs to the tasks. …”
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Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques
Published 2007“…The selected ANFIS model was trained with normalized data with 6 Gaussian membership functions for each of 9 inputs and 6 rules. Comparisons of different performances of ANFIS models showed that data normalization can improve the model performances during training and testing. …”
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