We propose a method for non-parametric conditional distribution estimation based on partitioning covariate-sorted observations into contiguous bins and using the within-bin empirical CDF as the predic...
GitHub hosts hundreds of millions of public repositories, but the platform exposes no native mapping from repositories to standardized industry sectors. This gap limits empirical work on the geography...
We introduce Teleodynamic Learning, a new paradigm for machine learning in which learning is not the minimization of a fixed objective, but the emergence and stabilization of functional organization u...
Generative artificial intelligence (AI) is increasingly integrated into the online platforms where humans exchange opinions; large language models (LLMs) now polish users' posts on LinkedIn and provid...
When a video model generates physically incorrect motion, did it fail to learn the correct motion, or did it learn it but fail to use it? We show the latter: the correct motion remains available insid...
Antimicrobial resistance is expected to claim 10 million lives per year by 2050, and resource-limited regions are most affected. Raman spectroscopy is a novel pathogen diagnostic approach promising ra...
We introduce the CLUSTER algorithm (\textbf{c}oordinate-\textbf{l}evel \textbf{u}pdate \textbf{s}trategy for \textbf{t}rust-region step \textbf{e}valuation \textbf{r}efinement) for local derivative-fr...
This paper investigates "free lunch" strategies to boost the performance of lidar semantic scene completion (SSC) without requiring complex architectural redesigns. We first demonstrate that endowing ...
To address the problems of high-power consumption, large weight-on-bit, significant disturbance, and difficulties in sealing and waterproofing in the traditional Deep-sea Seafloor Drill, a novel piezo...
Microplastic contamination in aquatic ecosystems has emerged as a major environmental concern due to its potential impact on marine organisms and human health. The present study investigates the abund...
Underwater tactile force sensing is crucial for achieving nondestructive and stable object manipulation in ocean robotics, especially in deep-sea environments where traditional vision-based methods ar...
Electrochemical turning is an efficient machining method for machining Ti80 pressure-resistant structures owing to its low tool cost and high machining flexibility. However, research has yet to explor...
Despite the remoteness of their breeding sites, subantarctic seabirds are susceptible to anthropogenic pollutants (e.g. microplastics) and other chemical stressors (e.g. plastic additives) that are re...
Earth observation satellites transform our understanding of Earth's biological, atmospheric, and surface systems. The Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission, launched in 2024, repres...
Aquaculture is the fastest-growing food-producing sector globally, yet intensive farming in China has led to severe ecological degradation of coastal marine pastures, including habitat loss, disease o...
This paper proposes a robust navigation method based on a robust square-root cubature Kalman filter (RSRCKF) to address the accuracy divergence of integrated navigation systems caused by drilling-indu...
Uncertainty estimation for Vision-Language-Navigation (VLN) models is a critical task since it can help identify ambiguous and unreliable predictions, enabling agents to make safer navigation decision...
Polyunsaturated fatty acids (PUFAs) play critical roles in human growth and development, visual and neurological function, and cardiovascular health, and are widely used in the food, pharmaceutical, a...
In this work, we address the problem of validating the reconstruction of a stochastic system from noisy data. We demonstrate the limitations of criteria based solely on the loss function or on standar...
Secondary adaptation of amphibians to marine environments is exceptionally rare. The crab-eating frog, Fejervarya cancrivora, is the only known amphibian capable of completing its life cycle in intert...