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Self-similar network traffic using Successive Random Addition (SRA) algorithm / Hani Hamira Harun
Published 2006“…In this project, we have used the Successive random algorithm (SRA). Then, we have decided to use Variance time plot and R/S statistics as our statistical analysis tools. …”
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The comparative study of model-based and appearance based gait recognition for leave bag behind
Published 2018“…Meanwhile, the accuracy and misclassification rate (MER) of Model-based approaches obtained is 97.00% and 3.00% respectively tested on SVM classifier then the accuracy and misclassification rate (MER) of Model-based approaches is 99.00% and 1.00% respectively tested on KNN algorithm. …”
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Comparison between Levenberg-Marquardt and scaled conjugate gradient training algorithms for ionosphere condition using Multilayer Perceptrons / Mohd Sharif Ibrahim
Published 2010“…This paper described the examinations of two training algorithms which are Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) of Multilayer Perceptrons (MLPs) using MATLAB R2009a. …”
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The comparative study of model-based and appearance Based gait recognition for leave bag behind
Published 2018“…Meanwhile, the accuracy and misclassification rate (MER) of Model-based approaches obtained is 97.00% and 3.00% respectively tested on SVM classifier then the accuracy and misclassification rate (MER) of Model-based approaches is 99.00% and 1.00% respectively tested on KNN algorithm. …”
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Suicide and self-harm prediction based on social media data using machine learning algorithms
Published 2023“…In combined with robust machine learning algorithms, social networking data may provide a potential path ahead. …”
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State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
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Optimization Method Using Modified Harmony Search For Coverage And Energy Efficiency In Wireless Sensor Network
Published 2018“…However,the sink node position and size of data transmitted will not affect the performance of coverage area.This is because the coverage area value is fluctuated as the parameters value increases.Throughout the experiment conducted,sensor nodes deployed using Modified Harmony Search algorithm (MHS) gives better coverage area compared to other existing methods.The average coverage area percentage obtained by Modified Harmony Search is 63 %.The average coverage area percentage obtained by Modified Random is 48 % and the average coverage area percentage obtained by Harmony Search is 46 %.The highest coverage area recorded for Modified Harmony Search is 70 %.To enhance the energy efficiency,shortest path distance finder is added to each method.Throughout the research,Modified Harmony Search with shortest path distance finder gives optimum results.…”
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A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
Published 2005“…The Gene Selection Techniques Include Fisher Criterion, Golub Signal-To-Noise, Traditional T-Test And Mann-Whitney Rank Sum Statistic. The Classification Algorithms Include Support Vector Machines (Svms) With Several Kernels And K-Nearest Neighbor(K-Nn). …”
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques
Published 2021“…In the next step, after taking the filtering steps, the Buildings Footprint was created and was saved as a vector file in the output path by keeping the first reflectance, filtering the nearest neighbor, filtering based on intensity, creating a new network, applying the height filter, filtering based on a closed range, applying the size filter, creating the initial boundary, performing noise removal at the boundary, correcting boundary fluctuations, and finally using the decision tree. …”
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Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…The result is a spatial decision tree with 276 leaves with distance from target objects to the nearest river as the first test layer and the accuracy on the training set of 87.69%. …”
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Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…In this study comparing the performance classification techniques of Support Vector Machine (SVM) and C4.5 algorithms. The attributes used consist of Leaves, Stems, and Fruits. …”
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Effective gene selection techniques for classification of gene expression data
Published 2005“…Various k-means clustering algorithms and model-based clustering algorithms are proposed to group the genes. …”
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Hybrid Balance Artificial Potential Field Navigation System For An Autonomous Surface Vessel In Riverine Environment
Published 2019“…There are two issues related to ASV autonomous riverine navigation; river environment modelling and autonomous path planning and obstacles avoidance. Thus, the objectives of the research are: to develop a riverbanks identification algorithm for ASV navigation; and to develop a marine traffic rules compliant navigation and obstacles avoidance algorithm for ASV in the unstructured riverine environment. …”
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Real-time interpolator of CNC parametric curves with chord-error and feed-rateconstraints
Published 2025“…The chord-error constraints comprise geometric and kinematic properties of different parametric curves, coveringbends and sharp turns. The resulting algorithm was executed both in real-time, online mode by driving the CNC machine directly, and in an offline mode by using a stored RS274/NGC G-code file. …”
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How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation
Published 2022“…The assessments of the reflective measurement models based on path analysis in PLS-SEM are reliable and valid. …”
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Expansion power system transmission using ant colony optimization: article / Izzataswad Ibrahim
Published 2015“…The main objective this proposal to find the lowest investment total cost transmission network. A 24 bus reliability test using in transmission expansion analysis, the results show that the algorithm is capable to deliver good solutions for relatively large systems[1]. …”
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