Search Results - (( learner extraction using algorithm ) OR ( java adaptation optimization algorithm ))
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1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
An automated learner for extracting new ontology relations
Published 2013“…Also we present a novel approach of learning based on the best lexical patterns extracted, besides two new algorithms the CIA and PS that provide the final set of rules for mining causation to enrich ontologies.…”
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3
Static code analysis of permission-based features for android malware classification using apriori algorithm with particle swarm optimization
Published 2015“…This paper presents a classification approach on android malware using candidate detectors generated from an unsupervised association rule of Apriori Algorithm. …”
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4
Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
Published 2014“…In this method, features were extracted from Android applications byte-code through static code analysis, selected and were used to train supervised classifiers. …”
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Proceeding Paper -
5
A new descriptor for smile classification based on cascade classifier in unconstrained scenarios
Published 2021“…In this paper, an adaptive model for smile classification is suggested that integrates a row-transform-based feature extraction algorithm and a cascade classifier to increase the precision of facial recognition. …”
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6
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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7
Development of predictive modeling and deep learning classification of taxi trip tolls
Published 2022“…In this work, let’s use the classification learner to create classification models, compare their performance, and export the findings for additional study. …”
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DEVELOPMENT OF PREDICTIVE MODELING AND DEEP LEARNING CLASSIFICATION OF TAXI TRIP TOLLS
Published 2023“…In this work, let�s use the classification learner to create classification models, compare their performance, and export the findings for additional study. …”
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An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions
Published 2025“…These results indicate the developed of KMS achieved level good and suitable for use category and does not need revision. A survey from 95 learners HEIs adopted from TAM revealed that KMS was significantly accepted for implementation of OBE via personalized learning and hence, be able to improve learners' learning. …”
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Thesis -
10
EMOTION RECOGNITION USING GALVANIC SKIN RESPONSE (GSR) SIGNAL
Published 2022“…The classified affective GSR signals with labels were obtained from the arousal seven-point emotional scale approach using machine learning algorithms. Features and class labels can import into the Classification Learner application in MATLAB software to train and test various classifiers. …”
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Final Year Project Report / IMRAD -
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Development of rheumatoid arthritis classification from electronic image sensor using ensemble method
Published 2020“…These ensemble classifiers use k-NN (K-nearest neighbours) and Random forest (RF) as the base learners of the ensemble classifiers. …”
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Statistics Easy Tool (SET) / Noor Aisyah Idris and Nurdia Azlin Ghazali
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Conference or Workshop Item -
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Identification Of Flow Blockage Levels In Centrifugal Pump By Machine Learning
Published 2021“…Furthermore, the statistical features are extracted and trained by multiple classifiers available in Classification Learner, MATLAB R2020b and validated by 5-fold cross-validation. …”
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Monograph -
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تعلم اللغة العربية بمساعدة الحاسب عن طريق الكلمات المتشابهة = Computer assisted language learning for Arabic using cognates
Published 2023“…The analytical approach will be used to study the methods and algorithms used to find similarities between different languages, and then developing a new algorithm to find similarities between Arabic and English languages, and this method is considered one of the Natural Language Processing techniques.…”
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