Search Results - (( java implementation path algorithm ) OR ( using concept machine 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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2
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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3
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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5
E4ML: Educational Tool for Machine Learning
Published 2003“…There are various types of machine learning algorithms with certain processes taken by the algorithm.In teaching of the machine learning algorithms, such processes need to be explained especially to the beginner in introductory level.This paper discusses the development the tool that addresses the process by certain algorithm to produce a hypothesis or output based on given data.This tool can also be used in teaching and learning purposes.The explanation of processes by the algorithms is demonstrated through simple simulation.The source of the algorithms was adapted from Mitchell book [1] that cover popular algorithms in machine learning for teaching and learning such as Concept Learning, Decision Tree, Bayesian Learning, Neural Networks, and Instance based Learning.The tool also used several classes of Weka (Waikato Environment for Knowledge Analysis) as a basis for the design and implementation of the new tool that focuses on explaining the processes taken by certain algorithm.…”
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6
An improved algorithm for iris classification by using support vector machine and binary random machine learning
Published 2018“…The second objective is to conduct a supervised and binary ensemble machine learning technique for classification. This is done by using method of RF and RNN that share the same ensemble concept. …”
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Machine learning cases in clinical and biomedical domains
Published 2018“…To better understand the machine learning concept, hypothetical data of glaucoma cases are presented. …”
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Conceptual instrumentation of washing machine for conformity to the Islamic laws of Syarak
Published 2013“…The concept of today’s washing machine that uses control technology to clean clothing is based on clothing weight factor proportionately to the amount of water used irrespective of the nature of the contaminants. …”
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Multi-step time series prediction using recurrent kernel online sequential extreme learning machine / Liu Zongying
Published 2019“…However, the problems with traditional offline and online learning algorithms in machine learning algorithms are usually faced with parameter dependency, concept drift handling problem, connectionless of neural net and unfixed reservoir. …”
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10
Conceptual instrumentation of washing machine for conformity to the Islamic laws of Syarak
Published 2013“…The concept of today’s washing machine that uses control technology to clean clothing is based on clothing weight factor proportionately to the amount of water used irrespective of the nature of the contaminants. …”
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Modeling and optimization of multi-holes drilling path using Particle Swarm Optimization
Published 2018“…This research aim to reduce the machining time by minimizing the tool path using metaheuristics algorithms. …”
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Research Report -
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Optimization of multi-holes drilling toolpath using tiki-taka algorithm
Published 2024“…The study aims to model the MDMT toolpath using the Traveling Salesman Problem (TSP) concept, apply TTA to optimize this model, and validate the model and algorithm through machining experiments on this problem. …”
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13
Rao-SVM machine learning algorithm for intrusion detection system
Published 2020“…In the proposed IDS, Rao Optimization Algorithm, Support Vector Machine (SVM), Extreme Learning Machine (ELM), and Logistic Regression (LR) (feature selection and weighting) were combined with NTLBO algorithm with supervised ML techniques (for feature subset selection (FSS). …”
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Machine learning for data classification in construction project planning
Published 2023“…Machine Learning is a tool of Artificial Intelligence to use the algorithms and statistical models to enable a machine to learn the concept and make predictions or decision as an outcome. …”
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Final Year Project / Dissertation / Thesis -
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Conceptual instrumentation of washing machine for conformity to the Islamic laws of Syarak
Published 2013“…The concept of today’s washing machine that uses control technology to clean clothing is based on clothing weight factor proportionately to the amount of water used irrespective of the nature of the contaminants. …”
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Intruder detection in camera networks using the one-class neighbor machine
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An optimized multi-layer ensemble framework for sentiment analysis
Published 2019“…The ensemble concept is used to improve classification accuracy by combining the decision of multiple classifiers. …”
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Improved intrusion detection algorithm based on TLBO and GA algorithms
Published 2021“…Optimization algorithms are widely used for the identification of intrusion. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…ITLBO with supervised machine learning (ML) technique was used for feature subset selection (FSS). …”
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