output
19942026
most citedThe phase transition in inhomogeneous random graphs

554 citations

Showing 2025Show all

15 papers · 1 filter

cs.CV2025

A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments

Anthony Dontoh, Stephanie Ivey, Armstrong Aboah

Despite increasing interest in computer vision-based distracted driving detection, most existing models rely exclusively on driver-facing views and overlook crucial environmental c…

cs.CV2025★ 2 cited

PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification

Blessing Agyei Kyem, Joshua Kofi Asamoah, Anthony Dontoh +3

Automated pavement defect detection often struggles to generalize across diverse real-world conditions due to the lack of standardized datasets. Existing datasets differ in annotat…

physics.optics2025

Leveraging Plasmonic Nanocavity Arrays Forming Metasurfaces to Boost Second Harmonic Generation due to Surface Effects

Sky Semone, Matthew J. Brandsema, Thang Hoang +1

Plasmonic metasurfaces have emerged as a promising platform for enhancing a range of nonlinear optical processes, offering compact geometry and flexibility in light manipulation. S…

astro-ph.GA2025★ 1 cited

The Formation of Dwarf Galaxy Disks

Robel Geda, Akaxia Cruz, Anna C. Wright +5

Dwarf galaxies are dark matter-dominated systems that are sensitive to feedback and display a diversity of baryonic morphologies. This makes them excellent probes for understanding…

cs.HC2025★ 1 cited

How Many Times Do People Usually Experience Different Kinds of Stressors Each Day?

Sameer Neupane, Mithun Saha, David M. Almeida +1

Understanding how frequently people experience different kinds of daily stressors is crucial for interpreting stress exposure and informing mental health care. But it can't be dire…

cs.CL2025★ 9 cited

A Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives

Hanshu Rao, Weisi Liu, Haohan Wang +3

Synthetic data generation using large language models (LLMs) demonstrates substantial promise in addressing biomedical data challenges and shows increasing adoption in biomedical r…