This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
Accurate predictions of earthquakes are crucial for disaster preparedness and risk mitigation. Conventional machine learning models like Random Forest, SVR, and XGBoost are frequently used for seismic ...
Background: Artificial intelligence (AI) can diagnose a wide array of cardiac conditions from electrocardiograms (ECGs). Wearable and portable ECG devices may enable expanded AI-based screening for ...
1 Department of Artificial Intelligence, Rare Sense Inc, Covina, CA, United States 2 Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, United Kingdom ...
👋 Welcome to the Hand Gesture 2 Robot repository, where you can find an image classification vision-language encoder model specifically designed for recognizing hand gestures and mapping them to ...
Which label maker is best? Label makers are an organizer’s best tool. You can separate your closet into seasons, color-code your office space or organize pretty much anything. Modern label makers come ...
End-to-end (E2E) neural networks have emerged as flexible and accurate models for multilingual automatic speech recognition (ASR). However, as the number of supported languages increases, particularly ...
Abstract: Cross-modal hashing encodes different modalities of multimodal data into low-dimensional Hamming space for fast cross-modal retrieval. In multi-label cross-modal retrieval, multimodal data ...
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