Search Results - (( program among normalization algorithm ) OR ( java application force algorithm ))
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Dynamic force-directed graph with weighted nodes for scholar network visualization
Published 2022“…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones
Published 2023Conference Paper -
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…The studies show beyond technical algorithms, physical aspects plays a big rule in client server model. …”
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4
Neural network based model predictive control for a steel pickling process
Published 2009“…The baths exhibit the normal features of an industrial system such as nonlinear dynamics and multi-effects among variables. …”
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Development of MATLAB® GUI for infant cry signal analysis using FFT / Suzilawati Muhamud @ Kayat
Published 2008“…FFT analysis and Hilbert transformation were used to extract information embedded in both cry signals Algorithms and programming utilizing MATLAB R2007b were written to search for the fundamental frequency of each cry signal and to identify the type of signal uniquely according to its fundamental frequency. …”
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6
Heartbeat disease diagnosis using text-based approaches
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7
Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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8
Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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Nearfield Electromagnetic Imaging Technique For Brain Tumour Detection
Published 2019“…Brain tumour is among the deadliest disease that is fatal if left untreated. …”
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11
Analyzing the cost-effectiveness of enhancement approaches for rehabilitating water distribution network
Published 2021“…Then, Cronbach’s alpha, mean score ranking, normalization value, and agreement analysis were carried in the data analysis phase. …”
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12
A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…Flash crowd attack is the most challenging problem among the attacks which targeting the web server during the Flash Events (FEs). …”
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