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prediction algorithm » prediction algorithms (Expand Search), detection algorithm (Expand Search), selection algorithm (Expand Search)
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prediction algorithm » prediction algorithms (Expand Search), detection algorithm (Expand Search), selection algorithm (Expand Search)
learning prediction » learning predictions (Expand Search)
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Integration of Transfer Learning and Multitask Learning To Predict the Potential of Per/Polyfluoroalkyl Substances in Activating Multiple Nuclear Receptors Associated with Hepatic...
Published 2025“…There herein, a transfer-learning multitask deep neural network (TL-MT-DNN) was implemented to transfer knowledge from the A-data set to the C-data set, which greatly improved the prediction performance with an average AUC of 0.886 and F1 of 0.665. …”
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Integration of Transfer Learning and Multitask Learning To Predict the Potential of Per/Polyfluoroalkyl Substances in Activating Multiple Nuclear Receptors Associated with Hepatic...
Published 2025“…There herein, a transfer-learning multitask deep neural network (TL-MT-DNN) was implemented to transfer knowledge from the A-data set to the C-data set, which greatly improved the prediction performance with an average AUC of 0.886 and F1 of 0.665. …”
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Multi-Task Learning in Analyzing the Working capacity of MOFs
Published 2025“…In addition, we provide our in-house multitask learning (MTL) algorithm for predicting the gravimetric and volumetric working capacities of MOFs.…”
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NiO/ZnO Nanocomposites for Multimodal Intelligent MEMS Gas Sensors
Published 2025“…These sensors demonstrate enhanced responses to ethylene glycol (EG) and limonene (LM) at different operating temperatures, demonstrating material-specific selectivity. Additionally, a multitask deep learning model is employed for real-time, quantitative detection of VOCs, accurately predicting their concentration and type. …”
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NiO/ZnO Nanocomposites for Multimodal Intelligent MEMS Gas Sensors
Published 2025“…These sensors demonstrate enhanced responses to ethylene glycol (EG) and limonene (LM) at different operating temperatures, demonstrating material-specific selectivity. Additionally, a multitask deep learning model is employed for real-time, quantitative detection of VOCs, accurately predicting their concentration and type. …”
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NiO/ZnO Nanocomposites for Multimodal Intelligent MEMS Gas Sensors
Published 2025“…These sensors demonstrate enhanced responses to ethylene glycol (EG) and limonene (LM) at different operating temperatures, demonstrating material-specific selectivity. Additionally, a multitask deep learning model is employed for real-time, quantitative detection of VOCs, accurately predicting their concentration and type. …”