arXiv EE and SS @arxiv_eess@qoto.org

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach https://arxiv.org/abs/2412.10554 #eess.SY #cs.SY

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems https://arxiv.org/abs/2412.10615 #eess.SY #stat.ML #cs.SY

An Active Parameter Learning Approach to The Identification of Safe Regions https://arxiv.org/abs/2412.10627 #eess.SY #cs.SY

Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement https://arxiv.org/abs/2412.10629 #eess.IV #cs.AI #cs.CV

Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB https://arxiv.org/abs/2412.10644 #eess.SP #cs.AI

Online Adaptive Real-Time Beamforming Design for Dynamic Environments in Cell-Free Systems https://arxiv.org/abs/2412.09629 #eess.SP #math.IT #cs.IT #cs.NI

A Novel Wavelet-base Algorithm for Reconstruction of the Time-Domain Impulse Response from Band-limited Scattering Parameters with Applications https://arxiv.org/abs/2412.09633 #eess.SP #math.IT #cs.IT

RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-Resolution https://arxiv.org/abs/2412.09646 #eess.IV #cs.CV #cs.GR #cs.LG

DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models https://arxiv.org/abs/2412.09648 #eess.IV #cs.CV #cs.GR #cs.LG

Importance Sampling With Stochastic Particle Flow and Diffusion Optimization https://arxiv.org/abs/2412.09778 #eess.SP

V2Sim: An Open-Source Microscopic V2G Simulation Platform in Urban Power and Transportation Network https://arxiv.org/abs/2412.09808 #eess.SY #cs.SY

AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models https://arxiv.org/abs/2412.09839 #eess.SP #math.IT #cs.IT

A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method https://arxiv.org/abs/2412.09846 #eess.IV #cs.CV

Deep Learning for Spectrum Prediction in Cognitive Radio Networks: State-of-the-Art, New Opportunities, and Challenges https://arxiv.org/abs/2412.09849 #eess.SP #cs.AI

CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls https://arxiv.org/abs/2412.09887 #eess.AS #eess.SP #cs.AI #cs.SD

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder https://arxiv.org/abs/2412.07804 #eess.IV #cs.AI #cs.CV

Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning https://arxiv.org/abs/2412.07806 #eess.IV #cs.AI #cs.CV #cs.LG

FastDDS-Based Middleware System for Remote X-Ray Image Classification Using Raspberry Pi https://arxiv.org/abs/2412.07818 #eess.IV #cs.AI #cs.CV

Derivative-Based Mir Spectroscopy for Blood Glucose Estimation Using Pca-Driven Regression Models https://arxiv.org/abs/2412.07821 #physics.med-ph #eess.IV #cs.LG

Predicting NOx emissions in Biochar Production Plants using Machine Learning https://arxiv.org/abs/2412.07881 #eess.SP #cs.LG