arXiv Computer Science @arxiv_cs@qoto.org

SpecGaussian with Latent Features: A High-quality Modeling of the View-dependent Appearance for 3D Gaussian Splatting https://arxiv.org/abs/2409.05868 #cs.CV

Using Process Mining to Improve Digital Service Delivery https://arxiv.org/abs/2409.05869 #cs.CY

Enabling Distributed Generative Artificial Intelligence in 6G: Mobile Edge Generation https://arxiv.org/abs/2409.05870 #math.IT #cs.IT

Multi-feature Compensatory Motion Analysis for Reaching Motions Over a Discretely Sampled Workspace https://arxiv.org/abs/2409.05871 #cs.RO #cs.LG

CSRec: Rethinking Sequential Recommendation from A Causal Perspective https://arxiv.org/abs/2409.05872 #cs.IR #cs.LG

Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars https://arxiv.org/abs/2409.05874 #stat.AP #cs.CE

Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation https://arxiv.org/abs/2409.05875 #cs.CV

Exploring and Visualizing COVID-19 Trends in India: Vulnerabilities and Mitigation Strategies https://arxiv.org/abs/2409.05876 #cs.CY #cs.HC

The Impact of Virtual Achievements on Online Learning Applications https://arxiv.org/abs/2409.05877 #cs.HC

CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems https://arxiv.org/abs/2409.05878 #cs.IR #cs.LG

Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems https://arxiv.org/abs/2409.04446 #eess.SY #cs.SY

Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled Samples https://arxiv.org/abs/2409.04447 #eess.AS #cs.SD #cs.AI

On the computational power of $C$-random strings https://arxiv.org/abs/2409.04448 #cs.CC

Process Trace Querying using Knowledge Graphs and Notation3 https://arxiv.org/abs/2409.04452 #cs.DB #cs.AI

ARSecure: A Novel End-to-End Encryption Messaging System Using Augmented Reality https://arxiv.org/abs/2409.04457 #cs.CR

WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks https://arxiv.org/abs/2409.04459 #cs.CR #cs.CL #cs.LG

New parametric identification method for a preference model https://arxiv.org/abs/2409.04462 #eess.SY #cs.CE #cs.SY

Discovering Governing equations from Graph-Structured Data by Sparse Identification of Nonlinear Dynamical Systems https://arxiv.org/abs/2409.04463 #eess.SY #cs.CE #cs.LG #cs.SY

Leveraging Large Language Models for Solving Rare MIP Challenges https://arxiv.org/abs/2409.04464 #math.OC #cs.CL #cs.AI #cs.LG

Here's Charlie! Realising the Semantic Web vision of Agents in the age of LLMs https://arxiv.org/abs/2409.04465 #cs.AI