Search Results - (( java implementation path algorithm ) OR ( program during normalization 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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5
Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…The prototype has been tested on a laboratory scale for its functionality by measuring the electrical parameters using heating elements as the load, and its ability in transferring data through three communications and monitoring as well as communicating with the SEM from DIS. Index test on the algorithm performance is carried out at different locations and atmospheric for example in an indoor area of KEE 009 laboratory (normal weather), the outdoor area of KEE 009 laboratory in normal weather, multi storey building and during thunderstorm weather. …”
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Enhanced dynamic security assessment for power system under normal and fake tripping contingencies.
Published 2019“…The training dataset is built by applying all possible contingencies during normal and fake tripping scenarios to the test system models. …”
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A review of classification techniques for electromyography signals
Published 2023“…To detect neuromuscular abnormalities, these test is very useful.EMG can measures the electrical activity of muscle during rest, slight and forceful contraction. Normally, during rest our muscle tissue does not produce electrical signals. …”
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Protection Coordination Toward Optimal Network Reconfiguration and DG Sizing
Published 2019“…The validity of the proposed method is analyzed on three commonly used IEEE 33-bus, 69-bus and 118-bus distribution systems, employing the firefly algorithm (FA) and evolutionary programming (EP) algorithm. …”
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Academic Achievement Prediction Model Using Neural Networks
Published 2002“…The system can predict the result of Programming I subject based on the student's background during the Sijil Pelajaran Malaysia (SPM) examination. …”
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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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Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques
Published 2007“…Comparisons of different performances of ANFIS models showed that data normalization can improve the model performances during training and testing. …”
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Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…Since the proposed models (like similar models in the literature) are likely to fall into local optimum points, a Branch and Bound based heuristic, a hybrid Simulated Annealing and Genetic algorithm, a hybrid Tabu search and Simulated Annealing, a hybrid Genetic algorithm and Simulated Annealing, a hybrid Ant Colony Optimization and Simulated Annealing and a hybrid Multi-layer Perceptron and Simulated Annealing algorithms are developed. …”
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AI chatbot system for educational institutions
Published 2023“…Despite facing challenges such as data insufficiency and overfitting during implementation, innovative solutions like data augmentation and Batch Normalization are employed to significantly improve model performance. …”
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Final Year Project / Dissertation / Thesis -
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows
Published 2026“…Preprocessing removes noise from text data, normalizes sentiment word lists and undertakes temporal transformation. …”
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Ump Intelligent Chatbot Using Dialogflow
Published 2022“…To create such a chatbot, a machine learning algorithm is used to learn the human language that is mainly used during such conversations. …”
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Undergraduates Project Papers -
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Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken fiom the vehicle during driving on highway, by using MATLAB programming. …”
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Vision-based autonomous vehicle driving control system
Published 2005“…Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken from the vehicle during driving on highway, by using MATLAB programming. …”
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Back end process yield improvement by verification of seeder bulk erase quality for 3.5" reowrk hard disk drive
Published 2014“…The process of writing servo sector patterns is known as Servo Track Writing (STW). During the STW process, interaction between the software command and hardware performance normally will cause several errors and imperfection in the process. …”
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Analytical model for partially prestressed concrete beam-column elements
Published 2017“…The results of numerical and experimental models indicated that application of the partially prestressed concrete members in structural systems effectively increased the strength and safety of the structure during dynamic loading. Also, the developed FEM program was able to successfully identify damage occurrence in PPC structural element during applied dynamic loads. …”
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