Search Results - (( developing function method algorithm ) OR ( data implementation phase algorithm ))
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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…Therefore, we develop a Parallel Fuzzy C-Median Clustering Algorithm Using Spark for Big Data that can handle large datasets while maintaining high accuracy and scalability. …”
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Article -
2
Jogging activity recognition using k-NN algorithm
Published 2022“…The k-NN algorithm is a simple and easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. …”
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Academic Exercise -
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E-Raser: file shredder application with content replacement by using random words function
Published 2018“…Data shredding indicates a process of irreversible file destruction while file shredder is the program designed to render computer-based files unreadable by implementing overwriting method to destroy data in the content of a file. …”
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Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method
Published 2024“…Then in terms of methodology, the Enhanced Henry Gas Solubility Optimization (EHGSO) algorithm is combined with the Sine-Cosine mutualism phase of Symbiotic Organisms Search (SOS) for efficiently estimating the unknown parameters of PV models. …”
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Design and implementation of multimedia digital matrix system
Published 2005“…The hybrid-reset algorithm is successfully solved the most well known problem of channel synchronization in data oversampling method. …”
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Conference or Workshop Item -
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Smart Routing For Solid Waste Collection
Published 2023“…Testing is conducted to validate the functionality and performance of the system. Finally, the conclusion highlights the accomplishments of the project, including the successful development of the route optimization algorithm and the web-based application. …”
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Final Year Project Report / IMRAD -
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Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model
Published 2004“…A typical or fixed sigmoid function method is used in learning phase. In the recognition phase, an adaptive sigmoid function is employed. …”
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Thesis -
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Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…Nevertheless, AC is not required for LCM if the original multi-spectral image is used. The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
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Enhanced PAPR reduction and channel estimation techniques in multi-carrier wireless communication system
Published 2016“…The search algorithm was used to solve the convex problem in selecting PAPR-RPS best phase shift factor based on the cost of computational complexity. …”
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Thesis -
10
Inventory tracker with estimation
Published 2024“…Key features include inventory tracking, estimation algorithms based on historical data, and integration with communication tools like WhatsApp for seamless order management. …”
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Final Year Project / Dissertation / Thesis -
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Drone-based surveillance of palm tress ecosystems
Published 2024“…The study aims to improve the accuracy and efficiency of palm health detection by integrating MATLAB's initial object recognition with advanced deep learning algorithms. The initial phase of the research focuses on elucidating the challenges associated with detecting palm tree health issues using conventional image processing methods in MATLAB. …”
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Mathematical model for predicting the performance of photovoltaic system with delayed solar irradiance
Published 2023“…The numerical solution is obtained by adopting the Runge Kutta method coupled with a parameter fitting technique, the Nelder Mead algorithm, which is implemented by using MATLAB software. …”
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Thesis -
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Mathematical model for predicting the performance of photovoltaic system with delayed solar irradiance
Published 2024“…The numerical solution is obtained by adopting the 4th-order Runge Kutta method coupled with a parameter fitting technique, the Nelder Mead algorithm, which is implemented by using MATLAB software. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Implementation frequency translation by adapting digital phase shifter for WCDMA using XILINX
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Student Project -
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Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…The methodology of this project is divided into several phases. The phases are information gathering, system requirement, data collection, system design and implementation, result analysis. …”
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A new superimposed topology for single phase wireless power transfer / Azman Ab Malik
Published 2018“…Size of coil had been explored by increasing the diameter size. 16cm and 160cm diamater size of coil had been explored using algorithm approach by Taguchi method. Result shows that by increasing the diameter size the distance had been improved by 500%. …”
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A new superimposed topology for single phase wireless power transfer / Azman Ab Malik
Published 2018“…Size of coil had been explored by increasing the diameter size. 16cm and 160cm diamater size of coil had been explored using algorithm approach by Taguchi method. Result shows that by increasing the diameter size the distance had been improved by 500%. …”
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Book Section -
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An enhanced Blowfish Algorithm based on cylindrical coordinate system and dynamic permutation box
Published 2014“…The enhanced BA is known as Ramlan Ashwak Faudziah (RAF) algorithm. The implementation phase involved performing key expansion, data encryption, and data decryption. …”
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Thesis
