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Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks. (arXiv:2106.09719v1 [cs.LG]) arxiv.org/abs/2106.09719

Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis. (arXiv:2106.09759v1 [eess.IV]) arxiv.org/abs/2106.09759

Multi-mode Transformer Transducer with Stochastic Future Context. (arXiv:2106.09760v1 [eess.AS]) arxiv.org/abs/2106.09760

On Use of the Moore-Penrose Pseudoinverse for Evaluating the RGA of Non-Square Systems. (arXiv:2106.09766v1 [eess.SY]) arxiv.org/abs/2106.09766

Is Channel Estimation Necessary to Select Phase-Shifts for RIS-Assisted Massive MIMO?. (arXiv:2106.09770v1 [cs.IT]) arxiv.org/abs/2106.09770

Topological Indoor Mapping through WiFi Signals. (arXiv:2106.09789v1 [cs.NI]) arxiv.org/abs/2106.09789

PixInWav: Residual Steganography for Hiding Pixels in Audio. (arXiv:2106.09814v1 [cs.MM]) arxiv.org/abs/2106.09814

Intrusion Detection and Localization for Networked Embedded Control Systems. (arXiv:2106.09826v1 [eess.SY]) arxiv.org/abs/2106.09826

On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. (arXiv:2106.09831v1 [cs.LG]) arxiv.org/abs/2106.09831

Hybrid graph convolutional neural networks for landmark-based anatomical segmentation. (arXiv:2106.09832v1 [eess.IV]) arxiv.org/abs/2106.09832

Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder. (arXiv:2106.09070v1 [cs.LG]) arxiv.org/abs/2106.09070

A Hands-on Comparison of DNNs for Dialog SeparationUsing Transfer Learning from Music Source Separation. (arXiv:2106.09093v1 [eess.AS]) arxiv.org/abs/2106.09093

Impact of Communication Loss on MPC based Cooperative Adaptive Cruise Control and Platooning. (arXiv:2106.09094v1 [eess.SY]) arxiv.org/abs/2106.09094

Safe Reinforcement Learning Using Advantage-Based Intervention. (arXiv:2106.09110v1 [cs.LG]) arxiv.org/abs/2106.09110

Convex Optimization for Trajectory Generation. (arXiv:2106.09125v1 [math.OC]) arxiv.org/abs/2106.09125

EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. (arXiv:2106.09135v1 [cs.LG]) arxiv.org/abs/2106.09135

Mungojerrie: Reinforcement Learning of Linear-Time Objectives. (arXiv:2106.09161v1 [cs.LG]) arxiv.org/abs/2106.09161

LiRA: Learning Visual Speech Representations from Audio through Self-supervision. (arXiv:2106.09171v1 [cs.LG]) arxiv.org/abs/2106.09171

Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery. (arXiv:2106.09211v1 [cs.LG]) arxiv.org/abs/2106.09211

Layer Pruning on Demand with Intermediate CTC. (arXiv:2106.09216v1 [eess.AS]) arxiv.org/abs/2106.09216

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