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Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma
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Advancements in thermochemical predictions: a multi-output thermodynamics-informed neural network approach
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Machine learning based disruption prediction using long short-term memory in KSTAR
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PalmPred: an SVM based palmitoylation prediction method using sequence profile information.
Published 2014-01-01“…All the source datasets, standalone and web-server are available at http://14.139.227.92/mkumar/palmpred/.…”
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Computational-Based Approaches for Predicting Biochemical Oxygen Demand (BOD) Removal in Adsorption Process
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Nonlinear Autoregressive Neural Network and Extended Kalman Filters for Prediction of Financial Time Series
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An Ultrashort-Term Wind Power Prediction Method Based on a Switching Output Mechanism
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Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations.
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning
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A sentiment-driven three-stage approach for multi-scale carbon price prediction
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Imaging‐Based Prediction of Ki‐67 Expression in Hepatocellular Carcinoma: A Retrospective Study
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Prediction of Time-evolving Radial Magnetic Fields on the Solar Surface Using Deep Learning
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Machine learning-driven prediction of hospital admissions using gradient boosting and GPT-2
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Seismic Response Prediction of Buildings with Base Isolation Using Advanced Soft Computing Approaches
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Grey Wolf Optimizer-Based ANNs to Predict the Compressive Strength of Self-Compacting Concrete
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