Search Results - (( developing consumer usage algorithm ) OR ( java implementation path 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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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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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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Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
Published 2014“…Overall, an algorithm showing the combination method of both GA and DCT was successfully developed. …”
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Comparative of rivest-shamir-adleman Cryptosystem and its four variants using running time and memory Consumption analysis
Published 2024“…As a result, several researchers have developed various RSA-based cryptosystems to enhance the algorithm's performance while maintaining security. …”
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Comparative of Rivest-Shamir-Adleman cryptosystem and its four variants using running time and memory consumption analysis
Published 2024“…As a result, several researchers have developed various RSA-based cryptosystems to enhance the algorithm's performance while maintaining security. …”
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Data mining and analysis for predicting electrical energy consumption
Published 2024“…The project's electricity consumers are categorized by their hourly power usage percentage. …”
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Modelling of assembly line balancing with energy consumption
Published 2023“…One of the most gravitate issues in the world is energy usage. As the largest consumer in terms of energy usage, the manufacturing sector had introduced a lot of approaches to decrease their energy utilization. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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Brain tumor image segmentation using deep learning approach
Published 2022“…Deep learning algorithm is able to provide good tumor segmentation results compared to other conventional segmentation algorithms as it learns from the labeled brain MRIs to predict the location of tumor region and consequently segment the tumor. …”
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Feature selection in intrusion detection, state of the art: A review
Published 2016“…Also, ambiguous features increase the time complexity and consume other computational resources as well. By removing these irrelevant and redundant features accuracy of the learning algorithms can be increased. …”
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Energy-saving framework for data center from reduce, reuse and recycle perspectives
Published 2019“…We recategorized energy attributes of the existing Energy Efficient Data Center Frameworks (EEDCFs) to be aligned with 3R. Then, we developed energy-saving algorithms in response to the concept. …”
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A study of customer retention and churn rate management through data mining and customer profiling of Malaysian mobile user
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Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks
Published 2018“…In addition, the mechanism improves the data gathering ratio by up to 70% and 68%, respectively. This is due to the developed technique helps to reduce the high consumed energy in the sensor network and increases the data collection throughout the transmission states in wireless sensor networks.…”
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Predicting motorcycle customization preferences using machine learning
Published 2025“…The classification model was developed using the Random Forest algorithm, Support Vector Machine and Logistic Regression with 5-fold Cross validation. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…In this study, we found that our proposed algorithms able to reduce energy consumption by 3% and 19% for host overload detection and VM selection algorithm respectively.…”
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