Hospital financial deficits due to INA-CBG claim discrepancies pose a critical challenge to healthcare sustainability in Indonesia. The difference bet...
This study develops a facial expression recognition system based on Facial Action Units (AU) data using a Bidirectional Long Short-Term Memory (BiLSTM...
This paper addresses a critical challenge in facial expression recognition: the creation of temporally consistent and accurately labeled datasets, par...
This study compared the performance of nine machine learning algorithms in predicting heart disease using a dataset dating back to 1988 and consisting...
This study, titled "Komparasi Model Ensemble dan Algoritma Machine Learning Untuk Memprediksi Penyakit Jantung," presents a comprehensive comparative...
Personalizing music recommendations has become a significant challenge on music streaming platforms such as Spotify due to the vast number of availabl...
This paper addresses the significant challenge of personalizing music recommendations on platforms like Spotify, acknowledging the limitations of trad...
The growth of affiliate marketing on digital platforms, particularly TikTok and Shopee, has led to a rapid increase in consumer reviews that can be le...
The extreme volatility and non-linear patterns of Solana (SOL) data, driven by its unique consensus mechanism and massive transaction volume, demand a...
Automatic sign language recognition using deep learning, particularly Convolutional Neural Networks (CNNs), has shown significant potential. The ResNe...
The increasing number and complexity of Android malware require detection systems that are accurate, efficient, and capable of handling high-dimension...
This paper presents a timely and relevant investigation into enhancing Android malware detection, a critical area given the escalating threat landscap...
Chronic Kidney Disease (CKD) is a global health issue characterized by low early detection rates and high diagnostic costs. Artificial intelligence, p...
This study presents a timely and relevant comparative analysis of K-Nearest Neighbor (K-NN) and Naïve Bayes (NB) algorithms for early-stage Chronic Ki...
This study aims to determine how accurate machine learning predictions are for predicting Bitcoin prices using the SVR With RBF Kernel and Random Fore...
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