Triangles capture higher-order structures in graphs and are fundamental to applications such as clustering and network analysis. To enable efficient use of such structures at scale, we study the probl...
Fisheries can strongly alter marine ecosystem dynamics, influencing the ecology and behaviour of top predators such as cetaceans. At the Tiber River estuary (Tyrrhenian Sea, Western Mediterranean), bo...
Microplastics (MPs) have emerged as pervasive contaminants in marine ecosystems; however, their vertical distribution within the Arabian Sea water column remains poorly understood. This study investig...
Analysts routinely use Bayesian hierarchical models to understand natural processes. The no-U-turn sampler (NUTS) is the most widely used algorithm to sample high-dimensional, continuously differentia...
Probabilistic forecasts are essential for inventory management, where decisions depend on the full distribution of future demand. While probabilistic forecast combination is widely used to improve sta...
In this paper we study optimal exit strategies of gamblers with cumulative prospect theory (CPT) preferences in games where the expected payoff is strictly negative at each play, and formulate the pro...
Decentralized stochastic optimization is a fundamental paradigm for large-scale learning over networks, where agents communicate only with their neighbors and no central coordinator is required. For s...
Conventional robot social behavior generation has been limited in flexibility and autonomy, relying on predefined motions or human feedback. This study proposes CRISP (Critique-and-Replan for Interact...
Online misinformation is one of the most challenging issues lately, yielding severe consequences, including political polarization, attacks on democracy, and public health risks. Misinformation manife...
The kelp Laminaria digitata uses iodide as a unique inorganic antioxidant to protect its surface and apoplastic space, with implications for atmospheric and marine chemistry as well as regional climat...
Understanding the transport of inorganic mercury (Hg) and the bioaccumulative neurotoxin methylmercury (MeHg) from land into coastal waters is essential for the people and wildlife of the Arctic. Here...
Interferometric synthetic aperture sonar (InSAS), a new high-resolution three-dimensional imaging device, is broadly utilized in underwater exploration. Interferogram noise removal is a necessary stag...
Marine litter has been quantified in several deep-sea environments, including complex habitats such as submarine canyons that host Vulnerable Marine Ecosystems. However, a standardized method for its ...
Effective collaborative data entry and transparency are foundational for building robust databases and high-quality data synthesis. Yet researchers often face inconsistent data entries, inadvertently ...
Quantitative susceptibility mapping (QSM) has been increasingly applied in longitudinal studies of neurodegenerative diseases and aging to assess temporal alterations in brain iron and myelin. The acc...
We propose a score test for dependence predictability in conditional copulas that is robust to temporal instabilities. Our semiparametric procedure accommodates flexible dynamics in the marginal proce...
In this paper, we present three neural network architectures designed for real-time classification of weather conditions (sunny, rain, snow, fog) from images. These models, inspired by recent advances...
Speckle noise is a multiplicative noise commonly encountered in coherent imaging modalities such as synthetic aperture radar, optical coherence tomography, and digital holography. Although deep learni...
Solea aegyptiaca gelatin (GSA) is a promising alternative to conventional gelatin. With a yield of 9.64% after 9 h, it was produced by alkali pretreatment followed by acid extraction. GSA exhibited a ...
Video world models that maintain 3D spatial consistency across generated frames typically rely on explicit point cloud memory constructed in RGB space. This design is both computationally expensive, r...
🌊
