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Using Black-Box Optimization Techniques to Solve Shape Optimization Problems in Fluid Mechanics
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Oracle Embeddings for Chemical Data Generation
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Iterative Models for Machine Learning in the Physical Sciences
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Design And Evaluation Of Robotic Needle Steering Methods For Clinical Application
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FSL-LFMG: Few-shot Learning with Augmented Latent Features and Multitasking Generation for Enhancing Multiclass Classification on Tabular Data: Existing and New Concepts
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Detection of Degradation Phenomena Using a Custom Spectrophotometric Device
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Novel Photocatalytic Approaches for the Construction of Bioactive Molecules
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Decentralized Collective Transport of Unknown Complex Objects Using Global State Prediction
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Exploring Internal Representations Learned by Autoencoders for Sleep EEG
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Nuances in Efficacy of Computer-Based Learning Platforms: Understanding the Interplay between Instructional Design, Engagement, and Learning
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