Search Results - (( model validation learning algorithm ) OR ( based construction based algorithm ))*
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1
Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system
Published 2022“…In this study, the Deep Belief Network algorithm was optimized and constructed to design an effective NIDS anomaly model. …”
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A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
Published 2021“…The results obtained from the resulting rollout policy with CPLEX execution during rollout are also presented to validate the reduced model and the matheuristic algorithm. …”
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3
A robust firefly algorithm with backpropagation neural networks for solving hydrogeneration prediction
Published 2018“…The objective of this study, first, a firefly algorithm (FA) based on the k-fold cross-validation of BPNN has been suggested to predict data for keeping rapid learning and prevents the exponential increase in operating parts. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…The study on related work and comparison of algorithm also has been done in this phase. In Design phase, the use case diagram, whole system flowchart and subsystem flowchart has been constructed to assist the development of this web tool. …”
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5
Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat
Published 2024“…This is due to the data generated from the numerical model possess the pattern for the ML algorithm ease of prediction. …”
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6
Enhancement Of Static Code Analysis Malware Detection Framework For Android Category-Based Application
Published 2021“…The result shows that the detection of malware within application category achieves higher accuracy compared to application with non-category based. In increasing the reliability, the results obtained are then validated by using statistical analysis procedure which each machine learning classification algorithm are iterate 50 times. …”
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7
A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata
Published 2019“…A new model in news selection is proposed based on sub-modularity model. …”
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8
Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms
Published 2023“…The transformed data is then modelled using machine learning algorithms such as Naïve Bayes classifier and Support Vector Machine to predict the overall sentiment of tweets, in which the finding depicted an overall positive sentiment surrounding the issue. …”
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Final Year Project Report / IMRAD -
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Time series modeling of water level at Sulaiman Station, Klang River, Malaysia
Published 2010“…The estimation of parameters of the model is accomplished using the hybrid learning algorithm consisting of standard neural network backpropagation algorithm and least squares method. …”
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10
A deep learning Lora-based indoor localization technique
Published 2026“…The collected dataset is used to train the deep learning model. To increase accuracy, techniques like data augmentation and cross-validation were included. …”
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Proceeding Paper -
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe
Published 2024“…However, when risk degrees were closely matched, the integrated model with weight adjustments based on base models outperformed ANN. …”
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12
Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…ML models were constructed using 302 patients and 54 input variables from the Malaysian National Cardiovascular Disease Database. …”
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Power allocation with non-orthogonal multiple access for 5G heterogeneous network
Published 2023“…An algorithm is constructed based on the deep learning coordinated multi-point to simulate the performance of the downlink 5G. …”
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Machine Learning based Predictive Modelling of Cybersecurity Threats Utilising Behavioural Data
Published 2023“…The algorithms are used to construct, test, and validate three categories of cybercrime threat (Malware, Social Engineering, and Password Attack) predictive models. …”
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Polytechnic science lecturers’ intention to use ICT as a tool in northeast Nigeria: a smart PLS approach
Published 2017“…The Bootstrapping Algorithm with SmartPLS was applied for modelling interaction with 269 subjects from the targeted populations of 715 science lecturers from Northeast Nigeria. …”
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Artificial intelligence-driven anticancer peptide discovery
Published 2025“…Therefore, we presented a comprehensive ACP screening framework based on AI models. The presented framework includes data collection and organization, feature extraction, model construction, model interpretability analysis, and experimental validation. …”
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EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…Wavelet Packet Decomposition (WPD), mean of amplitude, coherence, crosscorrelation, hjorth parameter and mutual information were used construct the proposed person authentication model. …”
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Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics
Published 2022“…The model proposed is based on Markov Decision Processes (MDP) modelling framework as part of reinforcement learning (RL) solution approach. …”
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Performance evaluation of hospital site suitability using multilayer perceptron MLP and analytical hierarchy process AHP models in Malacca, Malaysia
Published 2022“…The outcome of the predicted site models was validated utilizing CFS 10-fold cross-validation, as well as ROC curve (receiver operating characteristic curve). …”
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