Search Results - (( java implementation path algorithm ) OR ( missing making process algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Thesis -
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Article -
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Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…Missing values in datasets is a synonymous problem in data mining which could lead to an incomplete dataset, making inaccurate predictions results in machine learning prediction processes. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Restoration of missing data in old archives based on genetic algorithm
Published 2014“…In this paper, we consider this task similar to an optimization problem and apply Genetic Algorithm (GA) to each frame. The current frame scans row by row and is considered as the corrupted slice of each row which is found; then, we apply the GA to fill the missing data on that special portion and the process is continued to cover the image completely. …”
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Development of an imputation technique - INI for software metric database with incomplete data
Published 2007“…In this paper, an imputation technique for imputing missing data based on global-local Modified Singular Value Decomposition (MSVD) algorithm, INI was proposed. …”
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Book Section -
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Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan
Published 2018“…The result shows that DFIS possesses a persisting accuracy problem in prediction. DFIS predicts missing values through association between parameters, yet makes no distinction between the different associations. …”
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An enhanced robust association rules method for missing values imputation in Arabic language data set
Published 2023“…The failure to handle missing values usually causes unwanted consequences such as misleading analysis and decision-making. …”
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10
Optimizing skyline query processing in incomplete data
Published 2019“…Most of the previously proposed skyline algorithms work on a complete database where the data are always present (non-missing). …”
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Efficient skyline processing algorithm over dynamic and incomplete database
Published 2018“…However, the rapid growth and frequent changes of data make the process of identifying skyline points no longer a trivial task. …”
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Proceeding Paper -
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Enhanced utility accrual scheduling algorithms for adaptive real time system.
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A systematic review of recurrent neural network adoption in missing data imputation
Published 2025“…It is often resulting from human error, system faults, and respondent non-response. Failing to address missing data can lead to inaccurate results during data analysis, as incomplete data sequences introduce biases and compromise the distribution of the synthesized data, and cause a negative impact on the decision-making process. …”
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GNN-based skyline query processing for large-scale and incomplete graphs
Published 2026“…However, traditional skyline algorithms struggle with large volumes and missing data, leading to high computational costs and inefficiencies. …”
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An improved machine learning model of massive Floating Car Data (FCD) based on Fuzzy-MDL and LSTM-C for traffic speed estimation and prediction
Published 2023“…In this model, the Fuzzy-MDL is applied as the pre-processing step to estimate the missing traffic speeds. …”
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Sentiment analysis of customer review for Tina Arena Beauty
Published 2025“…Customer review data were collected from multiple platforms and processed using Natural Language Processing (NLP) techniques such as Term Frequency-Inverse Document Frequency (TF-IDF). …”
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Student Project -
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Development of an algorithm for correlation of aircraft positioning data from radar and ADS-B sensors / Koh Che Hun
Published 2019“…To fuse data from different sensors, the correlation algorithm is vital. Correlation is a process that associates the positioning data from different sensors to keep the SIAP up-to-date. …”
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Designing of skull defect implants using C1 rational cubic Bezier and offset curves
Published 2015“…Its offset curve is used to generate the inner wall. A metaheuristic algorithm, called harmony search (HS) is a derivative-free real parameter optimization algorithm inspired from the musical improvisation process of searching for a perfect state of harmony. …”
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