Search Results - (( java implication based algorithm ) OR ( value implementation plan algorithm ))
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Indoor navigation system using Dijkstra's algorithm for emergency situation / Mohd Faizulhayad Mashuri
Published 2015“…Thus, it can be conclude that Dijkstra's algorithm is the best algorithm to be used for route planning compared to Bellman-Ford and A* algorithm.…”
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Manufacturing process planning optimisation in reconfigurable multiple parts flow lines
Published 2008“…Two modified genetic algorithms are devised and employed to provide the best approximate process planning solution. …”
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Indoor navigation system using Dijkstra’s algorithm for emergency situation: article / Mohd Faizulhayad Mashuri
Published 2015“…This paper will discuss on an implementation of route planning in Indoor Navigation System (INS) for emergency situation. …”
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Menu Planning Model for Malaysian Boarding School Using Self-Adaptive Hybrid Genetic Algorithms
Published 2011“…In this study, self-adaptive hybrid genetic algorithm (SHGA) approach has been proposed to solve the menu planning problem for Malaysian boarding school students aged 13 to 18 years old. …”
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Localization using fingerprint method in emergency situation for indoor navigation system / Felix Ceilomond Samam
Published 2015“…Bigger obstacles will gives higher value of weight. Route planning using Dijkstra's algorithm can produce better accuracy and more reliable in indoor environment since the only factor taken into account is the weight for each path.…”
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Route optimization using shortest path method / Muhamad Faisal Amin Shakri
Published 2025“…This study investigated the implementation and comparison between well known shortest path method which are Dijkstra’s algorithm, Bellman-Ford, and A* algorithm. …”
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A modified technique in RFID networking planning and optimization
Published 2015“…Keywords: RFID Network Planning, RFID Tag Coverage, Particle Swarm Optimization (PSO) Algorithm and Design of Experiment (DOE)…”
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Automated content sizing using accelerometer
Published 2014“…In design and implementation, the value of Z-axis is tracked and used in the zooming algorithm. …”
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Undergraduates Project Papers -
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A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm requires two inputs for it to be applied onto a data set, the value K, and a proximity measure. …”
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Final Year Project / Dissertation / Thesis -
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Currently, the static signages implemented in buildings such as building floor plan system (BFPS) and “exit signage” are unable to provide information and guidance whether the exit is inaccessible or overcrowded. …”
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IMPLEMENTATION OF A TIME SERIES PREDICTION ALGORITHM FOR COVID-19 CONFIRMED CASES IN MALAYSIA : A PRELIMANARY STUDY AFTER THE RECOVERY MOVEMENT CONTROL ORDER
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Final Year Project Report / IMRAD -
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Hybrid Real-Value-Genetic-Algorithm and Extended-Nelder- Mead Algorithm for Short Term Energy Demand Prediction
Published 2024“…The real-value-genetics-algorithm (RVGA) is the most effective technique that is currently used. …”
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A machine learning approach to tourism recommendations system
Published 2025“…Algorithms like Singular Value Decomposition, K-Nearest Neighbor and Co-clustering will be compared in this project. …”
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Final Year Project / Dissertation / Thesis -
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A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…This research focuses on developing a novel path planning algorithm, called Generalized Laser Simulator (GLS), to solve the path planning problem of mobile robots in a constrained environment. …”
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Optimisation of energy efficient Assembly Sequence Planning using Moth-Flame Optimisation alghorithm
Published 2019“…On the other hand, the recent ASP research tends to explore the potential of a relatively new algorithm to optimise ASP. Therefore, the aim of this research is to establish a methodology and implement the relatively new algorithm to optimise the Energy Efficient Assembly Sequence Planning (EE-ASP) problem. …”
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Computational intelligence of probabilistic simulation in demand side management for avoided utility cost improvisation in a generation operating system planning / Daw Saleh Sasi M...
Published 2016“…In a generation operating system planning, avoided utility cost (AUC) is customarily implemented to attain the optimal economic benefits in a generating system by taking into account intriguing issues on the energy efficiency, renewable energy sources or conservation programs. …”
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Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment
Published 2017“…Aggregate production planning (APP) is considered as significant for efficient production systems. …”
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Computational intelligence of probabilistic simulation in demand side management for avoided utility cost improvisation in a generation operating system planning / Daw Saleh Sasi M...
Published 2017“…In a generation operating system planning, avoided utility cost (AUC) is customarily implemented to attain the optimal economic benefits in a generating system by taking into account intriguing issues on the energy efficiency, renewable energy sources or conservation programs. …”
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