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Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms
Published 2023“…Although the PSO-Fuzzy model has the best performance of all the compared models, the developed PSO-ANN based model possesses the advantage of easy implementation in addition to its moderate performance.…”
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Article -
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Validation of combine white noise using simulated data
Published 2016“…The same generated EGARCH data are transformed to obtain CWN data and VAR data for the estimation of CWN and VAR.Each CWN results outperformed every result of the existing models.These results confirm that CWN is the appropriate model for estimation.The CWN model fit best in the transformed 200 sample sizes of EGARCH generated data with moderate leverage and moderate skewness. …”
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A Predictive Classification Model For Running Injury
Published 2022“…Studies have yet to develop a good predictive classification model for running injury. …”
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Monograph -
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Design of Improved Stream Cipher Algorithms for GSM Communication
Published 2024thesis::master thesis -
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Development of generic algorithm in wheel-typed hybrid rocket grain design for performance estimation
Published 2012“…To investigate the characteristics of hybrid rocket performance we develop generic algorithm code. This script may serve as a valuable teaching resource in hybrid rocket motor design. …”
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Proceeding Paper -
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Development of nonlinear model for continuous stirred tank reactor (CSTR)
Published 2010“…As a conclusion,the suitable nonlinear model for CSTR system has been developed and analysis shown the compatibility of the model with experimental result.…”
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Undergraduates Project Papers -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Robust backpropagation neural network using date palm seed growth algorithm for stock market prediction
Published 2025“…Results from simulated analysis shows that the new model performed well at all levels of data contamination with configuration moderate lags input and lowest hidden nodes. …”
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Thesis -
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Examining leadership style and ethical reasoning in Nigeria public sector
Published 2016“…Findings also showed that the relationship between transformational leadership and post conventional cognitive moral development was found to be significantly moderated by religiosity commitment and vertical individualism and collectivism. …”
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Analysis of Traffic Accident Patterns Using Association Rule Mining
Published 2024“…The processed rules can be a foundation for developing predictive models or decision-making tools to mitigate accident risks. …”
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Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Thesis -
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Development of noise induced hearing loss prediction model using artificial neural network / Siti Fairus Mohd Zain
Published 2019“…It also embedded with 10 hidden layers in the prediction models using Levenberg-Marquardt algorithm as a transfer function from input vectors to the five binary outputs. …”
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Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum
Published 2023“…The purpose of this study is to identify the characteristics and terms, develop and evaluate the Hybrid Neural Network Model (HNNM) for determining degree of injury based on Visum et Repertum (VeR) data. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility
Published 2024“…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. …”
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Moving vehicle noise classification using backpropagation algorithm
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Working Paper -
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Benchmarking Robust Machine Learning Models Under Data Imperfections in Real-World Data Science Scenarios
Published 2026“…Multiple classical machine learning algorithms and deep learning models were assessed across diverse benchmark datasets. …”
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GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms
Published 2021“…Nevertheless, the two algorithms with the best performance (XGBoost and RF) indicate that a high percentage of the air quality is moderate. …”
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A cluster analysis of population based cancer registry in Brunei Darussalam : an exploratory study
Published 2022“…Six distinct demographic subgroups were consistently found by three algorithms while model-based clustering solution were not considered for deeper analysis as highly imbalanced clusters were produced. …”
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Moderating effects of government support on the relationship between organizational innovativeness, culture and sustainable construction among Malaysian contractors
Published 2016“…The data collected were initially screened using SPSS (version 21), while Partial Least Squares Structural Equation Modeling (PLS-SEM) algorithm and bootstrap techniques were employed to test the hypothesized paths in this study. …”
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