arXiv EE and SS @arxiv_eess@qoto.org

Tensor-Based Channel Estimation for RIS-Assisted Networks Operating Under Imperfections. (arXiv:2206.03557v1 [eess.SP]) http://arxiv.org/abs/2206.03557

A Model-Based Reinforcement Learning Approach for PID Design. (arXiv:2206.03567v1 [eess.SY]) http://arxiv.org/abs/2206.03567

Control Barrier Functions and Input-to-State Safety with Application to Automated Vehicles. (arXiv:2206.03568v1 [cs.SY]) http://arxiv.org/abs/2206.03568

Restricted Domain Compressive Sensing for Antenna Metrology. (arXiv:2206.03572v1 [eess.SP]) http://arxiv.org/abs/2206.03572

Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning. (arXiv:2206.03596v1 [cs.LG]) http://arxiv.org/abs/2206.03596

A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. (arXiv:2206.03603v1 [eess.IV]) http://arxiv.org/abs/2206.03603

Model Predictive Loitering and Trajectory Tracking of Suspended Payloads in Cable-Driven Balloons Using UGVs. (arXiv:2206.03606v1 [cs.RO]) http://arxiv.org/abs/2206.03606

Predictive Modeling of Charge Levels for Battery Electric Vehicles using CNN EfficientNet and IGTD Algorithm. (arXiv:2206.03612v1 [cs.CV]) http://arxiv.org/abs/2206.03612

Can autism be diagnosed with AI?. (arXiv:2206.02787v1 [eess.IV]) http://arxiv.org/abs/2206.02787

FedNST: Federated Noisy Student Training for Automatic Speech Recognition. (arXiv:2206.02797v1 [eess.AS]) http://arxiv.org/abs/2206.02797

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. (arXiv:2206.02834v1 [cs.LG]) http://arxiv.org/abs/2206.02834

EVC-Net: Multi-scale V-Net with Conditional Random Fields for Brain Extraction. (arXiv:2206.02837v1 [eess.IV]) http://arxiv.org/abs/2206.02837

Invertible Sharpening Network for MRI Reconstruction Enhancement. (arXiv:2206.02838v1 [eess.IV]) http://arxiv.org/abs/2206.02838

Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery. (arXiv:2206.02850v1 [cs.CV]) http://arxiv.org/abs/2206.02850

Low Complexity Beam Searching Using Trajectory Information in Mobile Millimeter-wave Networks. (arXiv:2206.02862v1 [cs.IT]) http://arxiv.org/abs/2206.02862

A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees. (arXiv:2206.02880v1 [eess.SY]) http://arxiv.org/abs/2206.02880

Machine Learning Prediction for Phase-less Millimeter-Wave Beam Tracking. (arXiv:2206.02899v1 [eess.SP]) http://arxiv.org/abs/2206.02899

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data. (arXiv:2206.02909v1 [eess.SP]) http://arxiv.org/abs/2206.02909

A review of machine learning approaches, challenges and prospects for computational tumor pathology. (arXiv:2206.01728v1 [eess.IV]) http://arxiv.org/abs/2206.01728

Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs. (arXiv:2206.01731v1 [eess.IV]) http://arxiv.org/abs/2206.01731