arXiv EE and SS @arxiv_eess@qoto.org

Training End-to-End Unrolled Iterative Neural Networks for SPECT Image Reconstruction. (arXiv:2301.09710v1 [eess.SP]) http://arxiv.org/abs/2301.09710

Performance Analysis of Active RIS-aided Systems in the Face of Imperfect CSI and Phase Shift Noise. (arXiv:2301.09716v1 [cs.IT]) http://arxiv.org/abs/2301.09716

Reconfigurable Intelligent Surface Aided Amplitude- and Phase-Modulated Downlink Transmission. (arXiv:2301.09717v1 [cs.IT]) http://arxiv.org/abs/2301.09717

Long-term stable Electromyography classification using Canonical Correlation Analysis. (arXiv:2301.09729v1 [cs.LG]) http://arxiv.org/abs/2301.09729

Minimally Invasive Live Tissue High-fidelity Thermophysical Modeling using Real-time Thermography. (arXiv:2301.09733v1 [physics.med-ph]) http://arxiv.org/abs/2301.09733

A fair Peer-to-Peer Electricity Market model for Residential Prosumers. (arXiv:2301.09745v1 [eess.SY]) http://arxiv.org/abs/2301.09745

CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution. (arXiv:2301.08749v1 [eess.IV]) http://arxiv.org/abs/2301.08749

Optimized learned entropy coding parameters for practical neural-based image and video compression. (arXiv:2301.08752v1 [eess.IV]) http://arxiv.org/abs/2301.08752

Is Boeing 737-MAX Still Safe? Analysis and Prevention of MCAS-Induced Crashes. (arXiv:2301.08779v1 [eess.SY]) http://arxiv.org/abs/2301.08779

Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation. (arXiv:2301.08782v1 [eess.IV]) http://arxiv.org/abs/2301.08782

On the optimal measurement of conversion gain in the presence of dark noise. (arXiv:2301.08790v1 [physics.optics]) http://arxiv.org/abs/2301.08790

Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future Improvement. (arXiv:2301.08794v1 [cs.RO]) http://arxiv.org/abs/2301.08794

Evaluating the Possibility of Integrating Augmented Reality and Internet of Things Technologies to Help Patients with Alzheimer's Disease. (arXiv:2301.08795v1 [cs.HC]) http://arxiv.org/abs/2301.08795

DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels. (arXiv:2301.08798v1 [eess.IV]) http://arxiv.org/abs/2301.08798

Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions. (arXiv:2301.08810v1 [cs.CL]) http://arxiv.org/abs/2301.08810

Integration of Data Driven Technologies in Smart Grids for Resilient and Sustainable Smart Cities: A Comprehensive Review. (arXiv:2301.08814v1 [eess.SY]) http://arxiv.org/abs/2301.08814

Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug. (arXiv:2301.08252v1 [eess.IV]) http://arxiv.org/abs/2301.08252

The application of Nano-silica gel in sealing well micro-annuli and cement channeling. (arXiv:2301.08288v1 [physics.flu-dyn]) http://arxiv.org/abs/2301.08288

The role of noise in denoising models for anomaly detection in medical images. (arXiv:2301.08330v1 [eess.IV]) http://arxiv.org/abs/2301.08330

A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration. (arXiv:2301.08350v1 [eess.SY]) http://arxiv.org/abs/2301.08350