Search Results - (( affecting implementation phase algorithm ) OR ( java application matching algorithm ))
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Rabbit breed classification using CNN / Aishah Nabila Mohd Zaid
Published 2024“…The design and implementation phase focus on prototype development, while the evaluation phase assesses classification performance. …”
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Message based random variable length key encryption algorithm.
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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Mitigation of harmonic current for balanced three-phase power system based on Extended Fryze Adaptive notch filter
Published 2023“…The proposed algorithm also improved the design by eliminating the needs of low pass filter as others time domain algorithms. …”
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Published 2014“…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Published 2014“…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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Final Year Project -
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Design and statistical analysis of initial solution construction approach in curriculum based course timetabling problem
Published 2017“…This process is a crucial task because it can affect the convergence speed and also the quality of the final solution (Rahnamayan, Tizhoosh, & Salama, 2007).This study able to produce a set of initial solution, therefore it is able to contribute to the improvement phase of approach that uses population of initial solutions such as ant colony optimization (ACO) (Socha, Joshua, & Michael, 2002), genetic algorithm (GA) (Lewis & Paechter, 2005), and harmony search algorithm (HSA) (Al-Betar & Khader, 2010).The approach in this study also shows that a feasible timetable can be found for numerous data set problems.…”
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Band-Limited Phase-Only Correlation (Blpoc) Using Fpga For Finger Vein Recognition System
Published 2013“…In the last few years, a number of finger vein recognition algorithms have been proposed. Most of the proposed methods were implemented in software-based on a general-purpose processor, which have limitations on the processing speed, size and power consumption. …”
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Performance optimization method in OFDM based on majorization and minimization technique
Published 2019“…Another type of noise is known as Additive White Gaussian Noise (AWGN) or thermal noise whose effect is negligible comparing to phase noise. In this paper, we demonstrate and simulate a practical algorithm to mitigate phase noise which induces ICI .This algorithm is termed as Tight Quadratic Majorization (TQM) and is derived for phase noise estimation. …”
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Traffic management algorithms for LEO satellite networks
Published 2016“…Those two algorithms are combined together due to the strong possibilities of being unable to achieve the optimal results when implemented separately. …”
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Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum
Published 2023“…Then, the selection of the critical features is chosen via Neural Network (NN) as classification algorithm and Genetic Algorithm (GA) as an optimization technique. …”
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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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Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir
Published 2019“…Mood is a psychological state that responsible for emotional feeling in human mind and it deeply affected by premenstrual symptoms (PMS). Large part of women community undergoes that phase. …”
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan
Published 2017“…The research methodology for this project consists of five phases which are, preliminary study, data collection, system design and implementation and result analysis. …”
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