Search alternatives:
whale optimization » swarm optimization (Expand Search)
event detection » defect detection (Expand Search), object detection (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based whale » based whole (Expand Search), baleen whale (Expand Search), based halide (Expand Search)
based event » based segment (Expand Search), based agents (Expand Search)
whale optimization » swarm optimization (Expand Search)
event detection » defect detection (Expand Search), object detection (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based whale » based whole (Expand Search), baleen whale (Expand Search), based halide (Expand Search)
based event » based segment (Expand Search), based agents (Expand Search)
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Data_Sheet_1_Calcium Spark Detection and Event-Based Classification of Single Cardiomyocyte Using Deep Learning.pdf
Published 2021“…In the present study, we developed a deep residual convolutional neural network method to detect Ca<sup>2+</sup> sparks. Compared to traditional detection methods with arbitrarily defined thresholds to distinguish signals from noises, our new method detected more Ca<sup>2+</sup> sparks with lower amplitudes but similar spatiotemporal distributions, thereby indicating that our new algorithm detected many very weak events that are usually omitted when using traditional detection methods. …”
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Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models
Published 2022“…Ovulation, pregnancy, and live birth are three sequentially nested binary outcomes, typically analyzed separately. However, the separate models may lose power in detecting the treatment effects and influential variables for live birth, due to decreased sample sizes and unbalanced event counts. …”
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Table 1_Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study.docx
Published 2025“…Apnea-hypopnea index (AHI) is then computed based on the detected apnea events (using a random forest classifier) from the identified apnea-suspected episodes. …”