Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

Discover how integrating spatiotemporal resilience into unmanned systems can enhance their adaptability and performance. A ...

Abstract: Background subtraction in videos is a core challenge in computer vision, aiming to accurately identify moving objects. Robust principal component analysis (RPCA) has emerged as a promising ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Scientists are engineering electromagnetic waves to retrace their temporal paths, a breakthrough in wave physics. This 'time ...

Accurate estimation of the ionosphere is essential for reliable Global Navigation Satellite System (GNSS) positioning, timing ...

The question of whether invasive or noninvasive methods provide the best possible outcomes for patients with ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Spatiotemporal Variability, Geospatial Analysis, Sustainable Development Goals (SDGs) Share and Cite: Hart, L. , Garuba, L. , ...

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new ...

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new information.

Molmo 2 is an 8B-parameter model that surpasses the 72B-parameter Molmo in accuracy, temporal understanding, and pixel-level ...