Search Results - (( java implication based algorithm ) OR ( data collection problem algorithm ))
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Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…Although the swmcan algorithm solves the noise problem in multi-view data, its initial and final graphs are independent and cannot learn from each other. …”
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Ant Colony Optimization for Solving Solid Waste Collection Scheduling Problems
Published 2009“…Approach: The implementation of Ant Colony Optimization (ACO) for solving solid waste collection problem as a VRPSD model was described. A set of data modified from the well known 50 customers problems were used to find the route such that the expected traveling cost was minimized. …”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Findings This research makes two key observations. Firstly, an algorithm with good performance metrics over a small data set collection may obtain worse results when the data set collection is extended. …”
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Ant colony optimization for solving solid waste collection scheduling problems
Published 2009“…Approach: The implementation of Ant Colony Optimization (ACO) for solving solid waste collection problem as a VRPSD model was described. A set of data modified from the well known 50 customers problems were used to find the route such that the expected traveling cost was minimized. …”
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Optimising a waste management system using the Artificial Bee Colony (ABC) algorithm
Published 2025“…This study proposed the application of the Artificial Bee Colony (ABC) algorithm to address the Capacitated Vehicle Routing Problem (CVRP) in a real-world waste collection scenario. …”
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Student Project -
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Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
Published 2023“…The data are collected from Google Map and are applied in Excel Solver using the Dijkstra’s Algorithm. …”
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Automated traffic counting data collection and analysis
Published 2021“…Optimal traffic arrangements that reduce traffic congestion can be designed by engineers using the collected traffic data. Traffic data collection is also useful for other issues such as vehicle accidents, managing parking areas, speeding, vehicle theft detection and others. …”
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Final Year Project / Dissertation / Thesis -
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A case study of minimising travel time for waste management problem with limited picking capacity in Taman Seremban 3 / Nur Yasmin Izzatul Zaid, Norezwannim Ibrahim and Nur Umairah...
Published 2024“…This study has two objectives that must be achieved. Using Dijkstra's algorithm, this project will create a travel network for garbage trucks to collect waste in Taman Seremban 3 and calculate the minimum travel time for the waste collection problem with limited picking capacity. …”
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Solving the vehicle routing problem with stochastic demands via hybrid genetic algorithm-tabu search
Published 2008“…The problem data are inspired by real case of VRPSD in waste collection. …”
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A breeder genetic algorithm for vehicle routing problem with stochastic demands
Published 2009“…The problem data are inspired by real case of VRPSD in waste collection. …”
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Machine learning model for performance prediction in mobile network management / Muhammad Hazim Wahid
Published 2022“…The methodology includes drive test measurement for data collection, exploratory data analysis, data preparation, and applying machine learning algorithms to predict mobile network performance. …”
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Application of Optimization Methods for Solving Clustering and Classification Problems
Published 2011“…Here, there is a collection of classes with labels and the problem is to label a new observation or data point belonging to one or more classes of data. …”
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Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…The phases are information gathering, system requirement, data collection, system design and implementation, result analysis. …”
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Classification of breast cancer disease using bagging fuzzy-id3 algorithm based on fuzzydbd
Published 2022“…The study verified that the FID3-DBD algorithm could classify the continuous data, and the BFID3-DBD algorithm overcame the overfitting issue, reduced high variance, and increased test data classification accuracy.…”
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Mobile charging and data gathering in multiple sink wireless sensor networks: how and why
Published 2017“…In this paper, we investigate the Periodic Energy Replenishment and Data Collection with multiple sink (PERDCMS) problem and propose a new algorithm, called the Mobile Device Scheduling Algorithm (MDSA), to using limited number of mobile devices for charging and collecting data for sensors. …”
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Improved genetic algorithm for scheduling divisible data grid application
Published 2007“…Data Grid technology promises geographically distributed scientists to access and share physically distributed resources such as computing resources, networks, storages, and most importantly data collections for large scale data intensive problems. …”
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Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Then, from the model developed, a formulation was created based on the problem of the maintenance schedule proposed. This model was then simulated using the data collected to verify whether the model was operating effectively and can be used to achieve the objective of this research. …”
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A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST
Published 2010“…The majority of the single variable based techniques are using autoregressive-moving average (ARMA) model to solve the STLF problem. In this thesis, a new AR algorithm especially designed for long data records as a solution to STLF problem is proposed. …”
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A Two-Phased Gradient Technique For Budget Allocation: An Application To Data Collection Budget Allocation In Efficiency Measurement Of DEA.
Published 2010“…This paper presents a gradient based algorithm to solve the data collection budget allocation problem in efficiency measurement of DEA. …”
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