Search Results - (( development process matter algorithm ) OR ( java implication based algorithm ))
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Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop
Published 2016“…The percentage level 5% under original bandwidth used is developed on policing and shaping algorithms to control bandwidth used. …”
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Development of algorithm of time and space domain for chlorophyll-a (Chl-a) and total suspended sediment (TSS) at Teluk Lipat Terengganu Coastline / Fathinul Najib Ahmad Sa’ad
Published 2023“…However, the developed algorithms are highly regional dependence. …”
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Does the height matter? a case for wi-fi based wireless positioning system
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Comparison of anonymous tracker algorithms / Nur Shafikah Mat Daud
Published 2014“…By using the IP Address, can help easily to track location of anonymous. Then, time processing and accuracy which one is the best of algorithms will be determine. …”
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Waste management using machine learning and deep learning algorithms
Published 2020“…Waste management is one of the essential issues that the world is currently facing, and it does not matter if the country is developed or underdeveloped. …”
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Biologically-Inspired Modeling of Filtering Noise in Signal Sound
Published 2009“…The main objective of this research is to develop a process to remove signal noise using concurrent algorithm. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Pso-svr algorithm for accurate ZnO energy band gap prediction
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E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam
Published 2020“…First, the hadith data and the user query will go through the pre-processing method. Next, the TF-IDF algorithm is performed on the processed data to find the relevant hadith based on the user’s query. …”
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Local and global measures for measuring performance of big data analytics process
Published 2019“…Then, a prototype was developed as a proof of concept. Two subject-matter experts viewed the prototype and confirmed that it was in alignment with the proposed model. …”
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Simplified algorithm for a constant speed missile
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Air quality measurement using remote sensing and digital images processing techniques / Lim, H. S. … [et al.]
Published 2004“…The newly developed algorithm produced a high degree of accuracy with the correlation coefficient (R) of 0.9001 and the root-mean-square error (RMS) of 5.1008 µg/m³ for PM10. …”
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Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum
Published 2023“…The development phase begins with utilizing Analytical Hierarchical Process (AHP) to validate the ranking for each of weight on the critical features from the experts’ opinion. …”
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GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms
Published 2021“…Although some studies have predicted air pollutants such as particulate matter (PM) using machine learning algorithms (MLAs), there is a paucity of studies on spatial hazard assessment with respect to the air quality index (AQI). …”
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Handbook of Machine Learning for Computational Optimization: Applications and Case Studies
Published 2021“…This handbook focuses on new machine learning developments that can lead to newly developed applications. …”
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An expert knowledge based decommissioning alternative selection system for fixed oil and gas assets in the South China Sea
Published 2017“…A comprehensive framework is proposed to establish a practical working philosophy for the developed algorithm. © 2016 Elsevier Ltd…”
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Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm
Published 2015“…A recurrent neural network (RNN) based on non-linear autoregressive with exogenous inputs (NARX) model has been used to develop the dynamic model of the system. The data for the training was obtained from empirical model of a spray tower system which involved 500 data sets representing the process input and the output PM concentration. …”
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