McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction https://arxiv.org/abs/2409.06710 #cs.CV #cs.GR
Quantized neural network for complex hologram generation https://arxiv.org/abs/2409.06711 #cs.CV #cs.GR
A Meta-analysis of College Students' Intention to Use Generative Artificial Intelligence https://arxiv.org/abs/2409.06712 #cs.CY
Tailoring Chatbots for Higher Education: Some Insights and Experiences https://arxiv.org/abs/2409.06717 #cs.CY
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
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