Search Results - (( framework convention learning algorithm ) OR ( java data normalization algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…Even a normal people using clustering to grouping their data. …”
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Thesis -
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Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space
Published 2021“…Thus, subspace learning techniques are employed to reduce the dimensionality of the data prior to employing other learning algorithms. …”
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SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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Machine-Learning Based QoE Prediction For Dash Video Streaming
Published 2021“…The framework is further improved by integrating ensemble learning in the prediction phase. …”
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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…Lastly, (i) a single-based solution representation, (ii) a switchable mutation scheme, (iii) a vector-based estimation of the mutation factor, and (iv) an optional crossover strategy are proposed in the VDEO framework. The overall performances of the three proposed frameworks have been compared with several current state-of-the-art clustering algorithms on 15 benchmark datasets from the UCI repository. …”
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Distributed learning based energy-efficient operations in small cell networks
Published 2023“…The thesis proposed a solution that employs unique characteristics of machine learning and game-theoretic framework to enable a model-free and energy-efficient small cell network. …”
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Overhead view based person counting using deep learning
Published 2022“…Third, the accurate tracking of each detected person is performed using the deep learning based tracking framework, known as DeepSORT. …”
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Final Year Project / Dissertation / Thesis -
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Adapting robot kinematics for human-arm motion recognition
Published 2007“…This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. Contrary to the prior art methods, this research develops a framework for human-arm motion recognition where qualitative normalised templates (QNTs) is proposed to replace the conventional approaches. …”
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An improved directed random walk framework for cancer classification using gene expression data
Published 2020“…SDW achieves an accuracy of 95.03% in average which is higher by 8.97% compare to conventional DRW for all cancer datasets. This study provides a foundation for further studies and research on early diagnosis of cancer with machine learning technique. …”
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Predictive maintenance framework for hard disk media production
Published 2009“…This paper proposes a novel framework for the implementation of predictive maintenance in hard disk media production.A novel technique to visualize the temporal data into pattern that can be trained with machine learning algorithm is introduced. …”
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Conference or Workshop Item -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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Constrained–Optimization-based Bayesian posterior probability extreme learning machine for pattern classification
Published 2023“…Using random computational hidden neurons, ELM shows faster learning speed over the traditional learning algorithms. …”
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Hyperparameter tuning in deep learning using NSGA-III: a Multi-Objective perspective
Published 2025“…This thesis proposes and implements a novel framework: the Multi-Objective NSGA-III-DL model, wherein the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) is directly infused into the deep learning optimization process. …”
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Enhancing loan approval decision-making: an interpretable machine learning approach using LightGBM for digital economy development / Teuku Rizky Noviandy, Ghalieb Mutig Idroes and...
Published 2024“…We incorporated the Shapley Additive exPlanations (SHAP) framework to address the challenge of interpretability in machine learning. …”
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Advances in materials informatics: A review
Published 2024“…Progress of MI depends on the strength of database and artificial intelligence protocols comprising machine learning (ML) and deep learning (DL) frameworks. Conventional ML models are simple and interpretable, relying on statistical techniques and algorithms to learn patterns and make predictions with limited data. …”
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Optimization-driven extreme learning machine for floating photovoltaic power prediction: A teaching learning-based approach
Published 2025“…This study presents a novel Teaching–Learning-Based Optimization enhanced Extreme Learning Machine (TLBO-ELM) framework that achieves optimal parameter configuration without algorithmic tuning while maintaining computational efficiency for real-time deployment. …”
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