arXiv Computer Science @arxiv_cs@qoto.org

QoS Based Contract Design for Profit Maximization in IoT-Enabled Data Markets. (arXiv:2301.04691v1 [eess.SY]) http://arxiv.org/abs/2301.04691

Learning Continuous Mesh Representation with Spherical Implicit Surface. (arXiv:2301.04695v1 [cs.CV]) http://arxiv.org/abs/2301.04695

Analogical Relevance Index. (arXiv:2301.04134v1 [cs.LG]) http://arxiv.org/abs/2301.04134

Application of machine learning to gas flaring. (arXiv:2301.04141v1 [cs.LG]) http://arxiv.org/abs/2301.04141

Conservation properties of a leapfrog finite-difference time-domain method for the Schr\"odinger equation. (arXiv:2301.04142v1 [cs.CE]) http://arxiv.org/abs/2301.04142

The Basis of Design Tools for Quantum Computing: Arrays, Decision Diagrams, Tensor Networks, and ZX-Calculus. (arXiv:2301.04147v1 [quant-ph]) http://arxiv.org/abs/2301.04147

Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines. (arXiv:2301.04168v1 [astro-ph.IM]) http://arxiv.org/abs/2301.04168

schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments. (arXiv:2301.04182v1 [cs.LG]) http://arxiv.org/abs/2301.04182

ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. (arXiv:2301.04195v1 [cs.RO]) http://arxiv.org/abs/2301.04195

Extending FAIR to FAIREr: Cognitive Interoperability and the Human Explorability of Data and Metadata. (arXiv:2301.04202v1 [cs.DB]) http://arxiv.org/abs/2301.04202

A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. (arXiv:2301.04204v1 [math.OC]) http://arxiv.org/abs/2301.04204

Quantitative Verification of Scheduling Heuristics. (arXiv:2301.04205v1 [cs.LO]) http://arxiv.org/abs/2301.04205

Network Message Field Type Classification and Recognition for Unknown Binary Protocols. (arXiv:2301.03584v1 [cs.CR]) http://arxiv.org/abs/2301.03584

Refining Network Message Segmentation with Principal Component Analysis. (arXiv:2301.03585v1 [cs.CR]) http://arxiv.org/abs/2301.03585

Machine Learning Applied to Peruvian Vegetables Imports. (arXiv:2301.03587v1 [cs.LG]) http://arxiv.org/abs/2301.03587

Multiscale Metamorphic VAE for 3D Brain MRI Synthesis. (arXiv:2301.03588v1 [eess.IV]) http://arxiv.org/abs/2301.03588

Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar. (arXiv:2301.03589v1 [eess.IV]) http://arxiv.org/abs/2301.03589

PatentsView-Evaluation: Evaluation Datasets and Tools to Advance Research on Inventor Name Disambiguation. (arXiv:2301.03591v1 [cs.DL]) http://arxiv.org/abs/2301.03591

Efficient Intra-Rack Resource Disaggregation for HPC Using Co-Packaged DWDM Photonics. (arXiv:2301.03592v1 [cs.DC]) http://arxiv.org/abs/2301.03592

Fast, Cheap and Good: Lightweight Methods Are Undervalued. (arXiv:2301.03593v1 [cs.CR]) http://arxiv.org/abs/2301.03593