Search Results - (( based conflict method algorithm ) OR ( java application learning algorithm ))
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Fast method to find conflicts in optical multistage interconnection networks
Published 2008“…In this paper, fast window method based on bitwise operations (BWM) is represented. …”
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A conflict-based priority dispatching rule and operation-based approaches to job shops
Published 2004“…A conflict based PDR is used to schedule the job shop model by using Genetic Algorithms (GAs). …”
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Citation Index Journal -
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Identifying football conflict using soft-set theory in Indonesia super league / Kukuh Wahyudin Pratama
Published 2021“…This research used an alternative approach as a method to handle conflict situation in Indonesia Super League. …”
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Fast ZeroY algorithm for efficient message routing in optical multistage interconnection networks
Published 2008“…The Bitwise Window Method (BWM) is used to identify potential message conflicts that may further lead to optical crosstalk. …”
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Conference or Workshop Item -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil
Published 2024“…The research endeavors to develop a web-based system specifically designed to create personalized university timetables for Universiti Teknologi MARA (UiTM) students using genetic algorithms, aiming to address the urgent need for a customizable timetable solution catering to the diverse scheduling requirements of both repeater and non-repeater students while optimizing course group selection to minimize conflicts and enhance scheduling flexibility. …”
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Graph-based conflict rectification using stroke gesture approach in timetabling system (CORECTS)
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Graph theory approach for managing lecturers’ schedule using graph colouring method / Siti Nor Ba Basri, Nur Su’aidah Khozaid and Farhana Hazwani Ismail
Published 2023“…Different colours are allocated to each vertex using graph colouring techniques such as the vertices algorithm or the edges algorithm, ensuring that clashing courses and lecturers are assigned different time slots. …”
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Student Project -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Space allocation for examination scheduling using Genetic Algorithm / Alya Kauthar Azman
Published 2025“…The research adopts a Genetic Algorithm-based approach, where examination scheduling details such as date, time, course code, program code, student group, student numbers, and available spaces are encoded as chromosomes. …”
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Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm
Published 2020“…The efficiency of the proposed MOHFPSO technique was tested on standard IEEE 30-bus and IEEE 57-bus test systems with various conflicting objectives. Simulation results were also compared with non-dominated sorting based multi-objective particle swarm optimization (MOPSO) and different optimization algorithms reported in the current literature. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…The proposed algorithm is simulated for simultaneous OPF-based conflicting objectives, respectively. …”
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Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
Published 2025“…Loss of load probability, excess energy, and life cycle cost are conflicting techno-economic objectives solved by multi-objective method. …”
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Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
Published 2024“…Loss of load probability, excess energy, and life cycle cost are conflicting techno-economic objectives solved by multi-objective method. …”
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