Search Results - (( location prediction model algorithm ) OR ( based classification issues algorithm ))*
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Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi
Published 2020“…This thesis proposes a classification model to detect water leakage, focusing on finding water leakage’s location and size, using K-Nearest Neighbour (K-NN) classification method. …”
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…In order to further validate the position of the tagging in the pallet box of the Random Forest model developed, a different predefined location was used to validate the model. …”
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Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…Outlier detection and classification are critical issues that affect prediction accuracy if not handled correctly. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…This work examines the location determination techniques by attempting to determine the location of mobile users by taking advantage of SS and SQ history data and modeling the locations using the ELM algorithm. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…This work examines the location determination techniques by attempting to determine the location of mobile users by taking advantage of SS and SQ history data and modeling the locations using the ELM algorithm. …”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification
Published 2024“…Recently, the swarm-based hybrid algorithms have given significant performance in cancer classification. …”
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Ant colony optimization algorithm for rule based classification: Issues and potential
Published 2018“…This paper presents a review of related work of ACO rule classification which emphasizes the types of ACO algorithms and issues. …”
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Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza
Published 2024“…Second objective is to develop the prototype of daisy species classification based on image using CNN algorithm. The last objective is to evaluate the accuracy of CNN model in the daisy species classification based on image. …”
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Classification model for hotspot occurrences using a decision tree method
Published 2011“…The model can be used to predict hotspot occurrences in new locations for fire prediction.…”
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An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…Henceforth, to achieve the aim, current research work proposed an enhancement of discretization algorithm based on Binning Discretization in RST to improve classification performance and to enhance the strategy of generation rules in RST to improve classification performance. …”
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Mutable composite firefly algorithm for gene selection in microarray based cancer classification
Published 2022“…Evaluation was performed based on two metrics: classification accuracy and size of feature set. …”
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Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes
Published 2013“…Location-based Solar Energy Potential Prediction Algorithm (LOSEPPA) takes as input, the geographic latitude and longitude of the location of interest to compute the Solar Irradiance Factor (SIF). …”
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High voltage transmission line fault classification based on neural network trained by particle swarm optimization
Published 2017“…New approach has been made based on artificial neural network (ANN) for the fault classification. …”
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Implementation of machine learning algorithms for streamflow prediction of Dokan dam
Published 2023“…The first scenario is to apply inflow data as model input for predicting inflow (output). The second scenario is to apply inflow and rainfall data as model inputs to predict inflow (output). …”
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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…The objective of this study is to propose a prediction model based on bio-inspired algorithm for talent knowledge discovery through some experiments. …”
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Artificial neural network model for predicting windstorm intensity and the potential damages / Mohd Fatruz Bachok
Published 2019“…The other 11 prediction processes which utilised ANN model algorithms (fitting tool), gave R-values for all the algorithms higher than 0.900 except one algorithm equal to 0.8661, meanwhile MSE between 0.22 to 116.41. …”
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