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Deep learning-based approach for modeling threshold curves
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Deep learning-based prototyping of android GUI from hand-drawn mockups
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Deep neural network and meta-learning-based reactive sputtering with small data sample counts
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Deep Q-Learning Based Reinforcement Learning Approach for Network Intrusion Detection
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Defect diagnosis in power transformer using explainable AI: A semi-supervised learning-based Partial discharge pattern approach
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Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder
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Correlation feature and instance weights transfer learning for cross project software defect prediction
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Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis
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Decentralized control for parallel distributed generation units in flexible microgrid integrating PV quasi-Z-source inverter
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Data-Driven Modeling of Grid-Forming Inverter Dynamics Using Power Hardware-in-the-Loop Experimentation
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Counter-example generation procedure for path-based equivalence checkers
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