The rapid advancement of smart cities, driven by innovative communication and information technologies (ICT), has transformed urban management. This paper introduces the Robust SmartCityAI Lakehouse, a hybrid framewor...
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The work hereby suggests the use of machine learning toward the prediction of concrete workability based on the available large dataset from literature studies. Of the four ML models, the XGBoost Regressor gives the b...
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Converter valve-side single-phase-to-ground (SPG) faults are among the most critical issues affecting the secure operation of modular multilevel converters (MMCs). However, the fault characteristics of these faults in...
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This paper presents the design and development of an educational game application aimed at introducing transportation vocabulary in English to early childhood education students. The application development follows a ...
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This paper presents the critical challenge of phishing attacks by using advanced machine learning (ML) approaches to efficiently identify and mitigate malicious websites. Phishing websites betray users by impersonatin...
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Named Data Networking as an alternative network for 5G network traffic is required to be able to provide better performance compared to other networks such as internet protocol networks. In NDN wireless, it is known t...
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Millimeter wave (mmWave) Device-to-Device (D2D) communication networks suffer high path loss and dynamic physical obstructions. Meanwhile, eavesdroppers can intercept confidential information by residing in the main o...
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Human activity degrades natural environments, and wildlife protection is crucial. Recent technological advances have improved animal monitoring and preservation activities. This research provides a real-time wildlife ...
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Cervical cancer, which is ranked fourth among cancers affecting women, is highly treatable when detected early through the pap smear test. Deep Learning (DL) models, particularly Convolutional Neural Networks (CNNs), ...
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Deep learning, a cutting-edge approach of machine learning, surpasses classical machine learning when it comes to detecting particular structures in complicated, high-dimensional data in the area of computer vision. T...
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