Search Results - "Sowan, Bilal"

Enhancing Small Medical Dataset Classification Performance Using GAN by Alauthman, Mohammad, Al-qerem, Ahmad, Sowan, Bilal, Alsarhan, Ayoub, Eshtay, Mohammed, Aldweesh, Amjad, Aslam, Nauman

“…Developing an effective classification model in the medical field is challenging due to limited datasets. To address this issue, this study proposes using a…”
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Examination of students’ acceptance and intention to use a New LMS during COVID-19 pandemic by Qattous, Hazem, Alghanim, Firas, Omar, Firas, Al-Oudat, Mohammad, Shkoukani, Mohammad, Sowan, Bilal

“…The aim of this research is to study the acceptance of university students to use Microsoft Teams e-Learning system and their intention to use it as a Learning…”
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Hybrid PSO feature selection-based association classification approach for breast cancer detection by Sowan, Bilal, Eshtay, Mohammed, Dahal, Keshav, Qattous, Hazem, Zhang, Li

“…Breast cancer is one of the leading causes of death among women worldwide. Many methods have been proposed for automatic breast cancer diagnosis. One popular…”
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Video deepfake detection using Particle Swarm Optimization improved deep neural networks by Cunha, Leandro, Zhang, Li, Sowan, Bilal, Lim, Chee Peng, Kong, Yinghui

“…As complexity and capabilities of Artificial Intelligence technologies increase, so does its potential for misuse. Deepfake videos are an example. They are…”
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Ensembling validation indices to estimate the optimal number of clusters by Sowan, Bilal, Hong, Tzung-Pei, Al-Qerem, Ahmad, Alauthman, Mohammad, Matar, Nasim

“…In unsupervised learning tasks, one of the most significant and challenging aspects is how to estimate the optimal number of clusters (NC) for a particular set…”
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Fuzzy association rule mining approaches for enhancing prediction performance by Sowan, Bilal, Dahal, Keshav, Hossain, M.A., Zhang, Li, Spencer, Linda

“…•Two new prediction models are proposed and compared to demonstrate their merits.•First model is an integration of Fuzzy C-Means (FCM) and the Apriori…”
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Evaluating Models Performance for Credit Risk Detection for Imbalanced Data by Matar, Nasim, Sowan, Bilal, Al-Jaber, Amneh

“…This study looks at the effect of unbalanced datasets on machine learning models and assesses the effectiveness of the Synthetic Minority Over-sampling…”
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Diversification of Fuzzy Association Rules to improve prediction accuracy by Sowan, Bilal I, Dahal, Keshav P, Hossain, Alamgir M, Alam, Mohammad S

“…Reliability of the Fuzzy Association Rules (FARs) extraction is a challenging research in knowledge discovery and data mining. Reliability refers to the…”
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Mitigating the OWASP Top 10 For Large Language Models Applications using Intelligent Agents by Fasha, Mohammad, Rub, Faisal Abul, Matar, Nasim, Sowan, Bilal, Al Khaldy, Mohammad, Barham, Hussam

“…Large Language Models (LLMs) have emerged as a transformative and disruptive technology, enabling a wide range of applications in natural language processing,…”
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Securing Digital Finance: Applying Machine Learning for Fraud Analysis by Al Khaldy, Mohammad, Aburub, Faisal, Matar, Nasim, Nofal, Muhmmad Islam, Sowan, Bilal, Fasha, Mohammed

“…The Fintech industry has grown quickly, resulting forward a revolution in financial transactions and improving user convenience and efficiency. But this quick…”
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Evaluation of Class Decomposition based on Clustering Validity and K-means Algorithm by Sowan, Bilal, Matar, Nasim, Omar, Firas, Alauthman, Mohammad, Eshtay, Mohammed

“…A class decomposition is one of the possible solutions and the most important factors of success for the improvement of classification performance. The idea is…”
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A Framework for Using Blockchain-Enabled Supply Chain Management to Enhance Transparency, Traceability, and Trust by Nofal, Mohammed I., Matar, Nasim, Mukred, Muaadh, Khaldy, Mohammad Al, Sowan, Bilal, Almalahmeh, Trad M.

“…Supply chain management faces challenges like lack of visibility, inadequate information sharing, and stakeholder trust issues. Emerging blockchain technology…”
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PDF Malware Detection: A Hybrid Approach Using Random Forest and K-Nearest Neighbors by Sowan, Bilal, Matar, Nasim, Aburub, Faisal, Fasha, Mohammed, Al Khaldy, Mohammad, Nofal, Muhmmad Islam, Al-Jaber, Amneh

“…The rise of Portable Document Format (PDF) malware poses a significant threat to organizations and individuals. Traditional signature-based detection methods…”
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Enhancing fuzzy associative rule mining approaches for improving prediction accuracy: integration of fuzzy clustering, apriori and multiple support approaches to develop an associative classification rule base by Sowan, Bilal Ibrahim

“…Building an accurate and reliable model for prediction for different application domains, is one of the most significant challenges in knowledge discovery and…”
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