Search Results - (( developing formative learning algorithm ) OR ( java classification problems algorithm ))
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1
Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…Increase of hearth problem in this world is rising each day. Classification system for heart disease is a system that able to justify whether a patient has heart problem or not. …”
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2
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
3
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. Recently, various techniques based on different algorithms have been developed. …”
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4
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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5
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…So, the integration of Artificial Neural Network (ANN) with an Expert System for material classification was explored. The computational tool, Matlab was proposed for classification with Levenberg-Marquardt training algorithm, which provided faster rate of convergence for feed forward network. …”
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6
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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7
Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…In conclusion, a deep reinforcement learning algorithm was successfully developed for the substrate feeding rate optimisation in the fed-batch baker’s yeast fermentation process. …”
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8
Object-Oriented Programming semantics representation utilizing agents
Published 2011“…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Article -
9
Multi-Agent Reinforcement Learning For Swarm Robots Formation
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Monograph -
10
Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). …”
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11
A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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Conference or Workshop Item -
12
Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address this issue, this study incorporated joint graph learning from the gmc algorithm into swmcan, creating a new algorithm called swmcan-jg. …”
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13
Feature-based stereo vision relative positioning strategy for formation control of unmanned aerial vehicles
Published 2019“…In addition, several different techniques and approaches for developing the algorithm is discussed as well. As per system requirements and conducted study, the algorithm that is developed for this Vision System is based on Tracking and On-Line Machine Learning approach. …”
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Article -
14
Hybrid BLEU Algorithm For Structured Exam Management System
Published 2008“…Due to this problem, "Hybrid BLEU algorithm for Structured Exam Management System " is develop to aid the lecturers during assessment in the construction of quiz and test. …”
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15
A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…A comparison of deep learning convolutional neural network and artificial neural network algorithms was also performed, with findings revealing that convoluted input formation was less stochastic than feedforward formation, particularly for a more complicated series and vice versa, due to its capacity to attract features. …”
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16
Video content adaptation based on user preferences and network bandwidth / Badariyah Bakhtiar
Published 2007“…System architecture was designed and implement in video adaptation algorithms development. Through the algorithm, rule-based technique was used. …”
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17
Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours
Published 2010“…An enhanced Bucket Brigade Algorithm (BBA) is developed to avoid the problem of choosing classifiers with high strength value but with incorrect behaviour. …”
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18
Handwritten character recognition system for online learning using Recurrent Neural Network (RNN) / Nur Nabilah Shafiqah Rosli
Published 2022“…The purpose of this research to develop handwritten character recognition system by using Recurrent Neural Network (RNN) algorithm. …”
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Student Project -
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment
Published 2022“…In this background, the current study develops Intelligent Multiverse Optimization with Deep Learning Enabled Intrusion Detection System (IMVO-DLIDS) for IoT environment. …”
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Article -
20
Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal
Published 2004“…Interactive Learning Package for Artificial Neural Network (Demonstration Module) is a learning package that allow the users to learn and enhance the understanding of the ANN subject in more detailed way and apply in the demonstration parts. …”
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