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1
Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
Published 2014“…Recently, the “hybrid AI-based” classification models have gained more attraction due to the inefficiency of conventional “single AI-based” models in accurate classification. …”
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2
Knowledge base processing method based on text classification algorithm
Published 2023“…The text classification algorithm's knowledge base processing method utilizes existing data from the knowledge base to guide the construction and training of the classification model. …”
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3
An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Differing from other complex and difficult classification models, rules-based classification algorithms produce models which are understandable for users. …”
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4
Affective state classification through CMAC-based model of affects (CCMA) using SVM
Published 2017“…Thus, in this paper CMAC-based Computational Model of Affects (CCMA) is proposed as feature extraction for the classification task. …”
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Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition
Published 2024“…Finally, the proposed FPA-ANN classification model is analysed based on generated confusion matrix and evaluated performance of the classification model in terms of precision, sensitivity, specificity, F-score and accuracy.…”
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A Novel Method for Fashion Clothing Image Classification Based on Deep Learning
Published 2023“…This paper suggested a deep learning-based image classification technique based on a CNN model and improved convolutional and pooling layers. …”
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Folktale conceptual model based on folktale classification system of type, motif, and function
Published 2013“…This paper elaborates a study conducted to propose a folktale conceptual model based on folktale classification systems of type, motif, and function.Globally, three distinguish folktale classification systems exist and have been used for many years nonetheless not actually converge and achieve agreement on classification issues. …”
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8
Systematic Literature Review of Mixed Variables Classification
Published 2023“…A total of 70 articles were chosen through the systematic review processes based on the related studies’ topics. The studies had been reviewed and discussed under the topic of classification, location model and smoothed location model in different data situations. …”
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Scene Recognition and Classification Model Based on Human Pre-attentive Visual Attention
Published 2021“…The proposed model achieves a higher average accuracy percentage than a standard approach model, which classifies based on one whole image. …”
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10
Automated frequency-based statistical and linguistic feature process models for financial news sentiment classification
Published 2017“…This research proposes two feature process models, Ngram-based and the NgramPOS-based models for the sentiment classification of financial news. …”
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11
Vision-based vehicle classification using deep learning model
Published 2025“…Predictive analytics can be used to predict traffic congestion based on the types of vehicles on the road. In this research, the reliability of deep learning based models for vision-based vehicle classification is investigated. …”
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Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza
Published 2024“…The last objective is to evaluate the accuracy of CNN model in the daisy species classification based on image. …”
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13
New learning algorithm based on Hidden Markov Model (HMM) as stochastic modelling for pattern calssification
Published 2009“…This study investigates the use discriminative training methods of minimum classification error (MCE) to estimate the parameter of hidden Markov model (HMM). …”
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Biomechanical Markerless Motion Classification Based On Stick Model Development For Shop Floor Operator
Published 2021“…The markerless motion classification model is still underdeveloped in the manufacturing industry. …”
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…The performance of the proposed model was compared with thirteen well-known classification models based on seven datasets. …”
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Stock market classification model using sentiment analysis based on hybrid naive bayes classifiers
Published 2019“…The appropriateness of the classifiers to the data features and domain is also another factor, which affect the classification accuracy. In this research, a model for stock market classification based on sentiment analysis is constructed. …”
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17
New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…The accuracy of the classification rules by the proposed models was high compared to other models.…”
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18
Customer churn classification in telecommunication company using rough set theory
Published 2016“…In conclusion, the results proved that the classification model based on Rough Set Theory had been capable to classify customer chum compared to the existing model.…”
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A survey of fuzzy min max neural networks for pattern classification: variants and applications
Published 2018“…Among the existing hybrid models, the family of Fuzzy Min-Max (FMM) neural networks offers a premier model for undertaking pattern classification problems. …”
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Several Robust Techniques In Two-Groups Unbiased Linear Classification
Published 2013“…Contamination models and control variables were used to investigate the classification performance of these linear classification rules. …”
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