Search alternatives:
process optimization » model optimization (Expand Search)
warm optimization » swarm optimization (Expand Search), art optimization (Expand Search), whale optimization (Expand Search)
prone process » whole process (Expand Search), phase process (Expand Search)
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final model » animal model (Expand Search)
model warm » model were (Expand Search), model care (Expand Search)
process optimization » model optimization (Expand Search)
warm optimization » swarm optimization (Expand Search), art optimization (Expand Search), whale optimization (Expand Search)
prone process » whole process (Expand Search), phase process (Expand Search)
binary prone » binary people (Expand Search)
final model » animal model (Expand Search)
model warm » model were (Expand Search), model care (Expand Search)
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…However, manual annotation proved inefficient and error-prone. To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…”
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
Published 2020“…The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…”
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Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100)
Published 2025“…Using 80% of the data for training and 20% for testing, we employed 5-fold cross-validation to determine the feature subset that maximized the average R², ensuring optimal model performance. Additionally, a Genetic Algorithm (GA) was applied in each iteration to optimize the hyperparameters of the XGBoost model, which is crucial for enhancing both the efficiency and robustness of the model (Zhong and Liu, 2024; Zou et al., 2024). …”