Search Results - empirical research algorithm
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Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
Published 2014“…Past researchers have typically tested these algorithms on centralized networks where all images are transmitted to a central control room. …”
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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A survey on signal processing methods in fiber optic sensor for oxidized carbon steel
Published 2019“…Next, we discuss the advantages of each of the algorithms based on recent and credible research papers and articles. …”
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A survey on signal processing methods in fiber optic sensor for oxidized carbon steel
Published 2019“…Next, we discuss the advantages of each of the algorithms based on recent and credible research papers and articles. …”
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On the exploration and exploitation in popular swarm-based metaheuristic algorithms
Published 2018“…Among such algorithms are swarm-based methods like particle swarm optimization and ant colony optimization which are increasingly attracting new researchers. …”
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User interface and interactivity design guidelines of algorithm visualization on mobile platform
Published 2019“…This study adopted the Design Science Research methodology as the framework of the research process. …”
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Quantifying usability prioritization using K-means clustering algorithm on hybrid metric features for MAR learning
Published 2023Conference Paper -
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Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour
Published 2014“…Language processing algorithms were used to calculate the semantic similarity among all items in state-of-the-art surveys from Organisational Behaviour research. …”
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An Empirical Evaluation of Artificial Intelligence Algorithm for Hand Posture Classification
Published 2022“…In this study, exhaustive empirical research of the machine learning algorithm for hand posture classification has been established. …”
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Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG
Published 2017“…In this research work, the cubic Hermite spline interpolation (CHSI) and the Akima spline interpolation (ASI) are investigated for their performance and their ability to retain the decomposition accuracy compared to the classical EMD algorithm. …”
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Reverse migration prediction model based on machine learning / Azreen Anuar
Published 2024“…To fulfil this aim, this research proposed three (3) objectives. The first objective is to identify the factors influencing reverse migration based on the statistics from previous empirical studies through a systematic literature review. …”
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Price prediction model of green building based on machine learning algorithms / Nur Syafiqah Jamil
Published 2021“…To obtain the best combination of these approaches for a good green building pricing model, it is important to identify what require extensive empirical experiments to work with identifying the best parameter configurations, techniques, and algorithms. …”
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Development of symbolic algorithms for certain algebraic processes
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Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim
Published 2021“…Then, three processes conducted in this study: Process A, B and C connecting to the research objective. First, Process A will identify the best empirical-based method among the six method use: Single Band Algorithm for blue band (SBA-Blue), Single Band Algorithm for green band (SBA-Green), Green Band Algorithm (GBA), Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Log-ratio Transform (LR) and utilizing three types of atmospheric correction approaches, namely, no atmospheric correction, Dark Object Subtraction (DOS), and Fast Line-of-sight Atmospheric Analysis of Hypercubes (FLAASH), to diversify the SDB quality result. …”
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Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
Published 2024“…Finally, to address the related issues that would motivate researchers in their future work, an empirical study was utilized to assess the performance of several machine learning algorithms. � 2013 IEEE.…”
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Examining performance of aggregation algorithms for neural network-based electricity demand forecasting
Published 2015“…The aim of this research is to examine the efficiency of different aggregation algorithms to the forecasts obtained from individual neural network (NN) models in an ensemble. …”
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Automated surveillance in distributed, wireless visual networks: a comparative study
Published 2013“…Past researchers have tested these algorithms on centralized networks where all images are transmitted to a central control room. …”
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Proceeding Paper -
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Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator
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