Search Results - (( model evaluation study algorithm ) OR ( writer identification _ algorithm ))*
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1
Improved random forest for feature selection in writer identification
Published 2015“…Writer Identification (WI) is a process to determine the writer of a given handwriting sample. …”
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Thesis -
2
A New Swarm-Based Framework for Handwritten Authorship Identification in Forensic Document Analysis
Published 2014“…The key concern in Writer Identification is in acquiring the features reflecting the author of handwriting. …”
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Book Chapter -
3
A new swarm-based framework for handwritten authorship identification in forensic document analysis
Published 2014“…The key concern in Writer Identification is in acquiring the features reflecting the author of handwriting. …”
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Book Chapter -
4
Discretization of integrated moment invariants for writer identification
Published 2008“…Hence, in this study, an integrated scaling formulation of Aspect Scaling Invariant is presented in Writer Identification to hunt for the individuality perseverance. …”
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Conference or Workshop Item -
5
Invariants discretization for individuality representation in handwritten authorship
Published 2008“…Writer identification is one of the areas in pattern recognition that have created a center of attention by many researchers to work in. …”
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6
Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
Published 2013“…Knowledge of pore-water pressure responses to rainfall is vital in slope failure and slope hydrological studies. The performance of four artificial neural network (ANN) training algorithms was evaluated to identify the training algorithm appropriate for modeling the dynamics of soil pore-water pressure responses to rainfall patterns using multilayer perceptron (MLP) ANN. …”
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Citation Index Journal -
7
Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market
Published 2024“…Therefore, this study focused to contribute on evaluating different algorithm models such as traditional ML and deep learning models with big stock data of multiple parameters from selected companies in Bursa Malaysia. …”
thesis::master thesis -
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Unifying the evaluation criteria of many objectives optimization using fuzzy Delphi method
Published 2021“…Thus, unify a set of most suitable evaluation criteria of the MaOO is needed. This study proposed a distinct unifying model for the MaOO evaluation criteria using the fuzzy Delphi method. …”
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9
Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary
Published 2024“…To evaluate the model, the model accuracy, precision, recall, F1- score, and confusion matrix were used. …”
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10
Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting
Published 2013“…In this study an ensemble of 100 NN models are constructed with a heterogeneous architecture. …”
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11
Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network
Published 2016“…This study evaluates the performance of eye blink EEG signal peak detection algorithm for four different peak models which are Dumpala's, Acir's, Liu's, and Dingle's peak models. …”
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Multistep forecasting for highly volatile data using new algorithm of Box-Jenkins and GARCH
Published 2018“…This study is proposing a new algorithm of Box-Jenkins and GARCH (or BJ-G) in evaluating the multistep forecasting performance of the BJ-G model for highly volatile time series data. …”
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13
A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…The purpose of this project are to construct and provide guidelines to develop a simulation model to evaluate cryptography algorithm in terms of encryption speed and descryption speed on UUM portal. …”
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14
Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network
Published 2016“…This study evaluates the performance of eye blink EEG signal peak detection algorithm for four different peak models which are Dumpala’s, Acir’s, Liu’s, and Dingle’s peak models. …”
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15
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…The BMA algorithm also demonstrates the best performance amongst aggregation algorithms investigated in this study. …”
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16
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…The BMA algorithm also demonstrates the best performance amongst aggregation algorithms investigated in this study. …”
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…The BMA algorithm also demonstrates the best performance amongst aggregation algorithms investigated in this study. …”
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18
Evaluating machine learning algorithms for sentiment analysis: a comparative study to support data-driven decision making
Published 2025“…Upon evaluating the models, the findings reveal notable differences in accuracy. …”
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Prediction of football club winning rate using Bayesian model algorithm / Adam Khairul Anuar
Published 2023“…The methodology includes preliminary studies, model prototyping, and evaluation using data from sources like Kaggle. …”
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