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A Convolutional Neural Network-based gradient boosting framework for prediction of the band gap of photo-active catalysts - ScienceDirect
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Machine learning and cyber security
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A Convolutional Neural Network-based gradient boosting framework for prediction of the band gap of photo-active catalysts - ScienceDirect
6YY-230B hydraulic oil presser www.hnlewin.com-Henan Lewin Industrial Development Co., Ltd.
A Convolutional Neural Network-based gradient boosting framework for prediction of the band gap of photo-active catalysts - ScienceDirect
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Lossless multi-scale constitutive elastic relations with artificial intelligence | npj Computational Materials
AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates - ScienceDirect
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Lossless multi-scale constitutive elastic relations with artificial intelligence | npj Computational Materials
Energies | Free Full-Text | Improving Machine-Learning Diagnostics with Model-Based Data Augmentation Showcased for a Transformer Fault
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AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates - ScienceDirect
Lossless multi-scale constitutive elastic relations with artificial intelligence | npj Computational Materials
A Convolutional Neural Network-based gradient boosting framework for prediction of the band gap of photo-active catalysts - ScienceDirect
Energies | Free Full-Text | Improving Machine-Learning Diagnostics with Model-Based Data Augmentation Showcased for a Transformer Fault
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