arXiv EE and SS @arxiv_eess@qoto.org

Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns https://arxiv.org/abs/2504.07145 #eess.IV

VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing https://arxiv.org/abs/2504.07146 #eess.IV

Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model https://arxiv.org/abs/2504.07148 #eess.IV

Multi-Agent Trustworthy Consensus under Random Dynamic Attacks https://arxiv.org/abs/2504.07189 #eess.SY #cs.SY

Compositional design for time-varying and nonlinear coordination https://arxiv.org/abs/2504.07226 #eess.SY #math.OC #cs.SY

Dual Deep Learning Approach for Non-invasive Renal Tumour Subtyping with VERDICT-MRI https://arxiv.org/abs/2504.07246 #eess.IV

Can Carbon-Aware Electric Load Shifting Reduce Emissions? An Equilibrium-Based Analysis https://arxiv.org/abs/2504.07248 #eess.SY #cs.SY

MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-Resolution https://arxiv.org/abs/2504.07308 #eess.IV #cs.CV

Going beyond explainability in multi-modal stroke outcome prediction models https://arxiv.org/abs/2504.06299 #eess.IV #stat.AP #cs.CV #cs.LG

Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression https://arxiv.org/abs/2504.06301 #eess.IV #cs.CV

Restoring Feasibility in Power Grid Optimization: A Counterfactual ML Approach https://arxiv.org/abs/2504.06369 #eess.SY #cs.SY

A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior https://arxiv.org/abs/2504.06372 #eess.SY #stat.ME #stat.ML #cs.SY

Review, Definition and Challenges of Electrical Energy Hubs https://arxiv.org/abs/2504.06373 #eess.SY #cs.SY

A Scalable Automatic Model Generation Tool for Cyber-Physical Network Topologies and Data Flows for Large-Scale Synthetic Power Grid Models https://arxiv.org/abs/2504.06396 #eess.SY #cs.SY

Panoptic: True Joint mmWave Communication and Sensing with Compressive Sidelobe Forming https://arxiv.org/abs/2504.06400 #eess.SP

Leveraging Non-Steady-State Frequency-Domain Data in Willems' Fundamental Lemma https://arxiv.org/abs/2504.06403 #eess.SY #math.OC #cs.SY

Physical spline for denoising object trajectory data by combining splines, ML feature regression and model knowledge https://arxiv.org/abs/2504.06404 #eess.SY #cs.AI #cs.SY

Retuve: Automated Multi-Modality Analysis of Hip Dysplasia with Open Source AI https://arxiv.org/abs/2504.06422 #eess.IV #cs.CV

Real-Time Model Predictive Control for the Swing-Up Problem of an Underactuated Double Pendulum https://arxiv.org/abs/2504.05363 #eess.SY #cs.RO #cs.SY

Physics-informed Modularized Neural Network for Advanced Building Control by Deep Reinforcement Learning https://arxiv.org/abs/2504.05397 #eess.SY #cs.SY