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Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The results of the practicality test show that this VR product is practical to use based on the indicators of convenience, attractiveness, efficiency, and benefits. …”
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On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…Combinatorial interaction testing is a practical approach aims to detect defects due to unwanted and faulty interactions. …”
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Sequence t-way test generation using the barnacles mating optimizer algorithm
Published 2021“…More precisely, we focus on the generation of test cases due to the ordering of inputs (or sequence) using the newly developed Barnacles Mating Optimizer (BMO) Algorithm. …”
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Comparative study of machine learning algorithms in data classification
Published 2025“…The results will help with real-world data mining applications of machine learning and be a useful guide for further study and practical applications.…”
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Final Year Project / Dissertation / Thesis -
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African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions
Published 2022“…The use of meta-heuristics in Combinatorial Interaction Testing (CIT) is becoming more and more popular due to their effectiveness and efficiency over the traditional methods especially in authenticating electronic payment (e�payment) transactions. …”
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A practical and interactive web-based software for online Qur’anic Arabic learning
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Proceeding Paper -
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African Buffalo Optimization Algorithm Based T-Way Test Suite Generation Strategy for Electronic-Payment Transactions
Published 2021“…The use of meta-heuristics in Combinatorial Interaction Testing (CIT) is becoming more and more popular due to their effectiveness and efficiency over the traditional methods espe-cially in authenticating electronic payment (e-payment) transactions. …”
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…This study aims to explore the potential of implementing multi-agent-based Genetic Algorithm (GA) with interactive metamodel to acquire regular optimisation on dynamic characteristic of traffic flow. …”
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A practical and interactive web-based software for online Qur'anic Arabic learning
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Thyroid Insight: navigating disease data through interactive visualization with prediction
Published 2025“…The dashboard employs Microsoft Power BI for visualizations and the Random Forest algorithm for predictive modelling. Evaluation using the Technology Acceptance Model (TAM) with 35 respondents produced encouraging results across dimensions such as Perceived Ease of Use (4.28), Perceived Usefulness (4.61), Attitude (4.54), and Intention to Use (4.50). …”
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Application of inerter in passenger vehicle suspension systems / Soong Ming Foong
Published 2015“…In the second part, the use of semi-active switching algorithm on an inerter showed greater ride improvement of up to 12 % than that brought by passive inerter, while the non-linearity which was also modeled as switching law for the inerter managed better sprung mass transient response. …”
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Thesis -
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How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation
Published 2022“…In contrast, social media usage has been practical to improve public resilience. However, the impacts of social media crisis response and social interaction have not been fully addressed. …”
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HABC: Hybrid artificial bee colony for generating variable T-way test sets
Published 2020“…One of the effective software testing techniques used for detecting faults of interactions between components is combinatorial testing (CT). …”
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HABC: Hybrid artificial bee colony for generating variable T-way test sets
Published 2020“…One of the effective software testing techniques used for detecting faults of interactions between components is combinatorial testing (CT). …”
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Characterisation of essential proteins in proteins interaction networks
Published 2013“…The proposed method, namely EP3NN (Essential Proteins Prediction using Probabilistic Neural Network), employed a machine learning algorithm called Probabilistic Neural Network as a classifier to identify essential proteins of the organism of interest. …”
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'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Al...
Published 2024“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
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