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View article: Scalable Asynchronous Federated Modeling for Spatial Data
Scalable Asynchronous Federated Modeling for Spatial Data Open
Spatial data are central to applications such as environmental monitoring and urban planning, but are often distributed across devices where privacy and communication constraints limit direct sharing. Federated modeling offers a practical …
View article: Soil erosion resilience under climate extremes: Disentangling the impacts of vegetation restoration and rainfall intensification across China
Soil erosion resilience under climate extremes: Disentangling the impacts of vegetation restoration and rainfall intensification across China Open
Soil erosion is a global and interconnected biogeochemical process whose mechanisms are being profoundly altered by the interactions between climate change and vegetation dynamics. A critical scientific question is addressed in this study:…
View article: Weak persistence and extinction of a stochastic epidemic model with distributed delay and Ornstein-Uhlenbeck process
Weak persistence and extinction of a stochastic epidemic model with distributed delay and Ornstein-Uhlenbeck process Open
A stochastic distributed delay epidemic model with Markovian switching and Allee effect is constructed, where the infectious disease transmission rate follows a mean-reverting Ornstein-Uhlenbeck process. Hybrid dynamic effects of Ornstein-…
View article: Research on Multi-Scale Vector Road-Matching Model Based on ISOD Descriptor
Research on Multi-Scale Vector Road-Matching Model Based on ISOD Descriptor Open
In geographic information data processing, the matching of road data at different scales is crucial. Due to scale differences, road features can change, posing a challenge to multi-scale matching. Spatial relationship is the key to matchin…
View article: Robust Spectral Fuzzy Clustering of Multivariate Time Series with Applications to Electroencephalogram
Robust Spectral Fuzzy Clustering of Multivariate Time Series with Applications to Electroencephalogram Open
Clustering multivariate time series (MTS) is challenging due to non-stationary cross-dependencies, noise contamination, and gradual or overlapping state boundaries. We introduce a robust fuzzy clustering framework in the spectral domain th…
View article: Dynamic experimental study on water droplet erosion damage behavior of composite coating structures for supersonic aircraft
Dynamic experimental study on water droplet erosion damage behavior of composite coating structures for supersonic aircraft Open
The composite skin coating structure of the front edge of the supersonic aircraft body is deformed, cracked and even stripped due to the continuous impact of raindrops. The coating material used in this paper is based on carbon fiber T300 …
View article: RCOMPSs: A Scalable Runtime System for R Code Execution on Manycore Systems
RCOMPSs: A Scalable Runtime System for R Code Execution on Manycore Systems Open
R has become a cornerstone of scientific and statistical computing due to its extensive package ecosystem, expressive syntax, and strong support for reproducible analysis. However, as data sizes and computational demands grow, native R par…
View article: A Stock Price Prediction Model Based on MLP
A Stock Price Prediction Model Based on MLP Open
This paper proposes a stock price prediction model based on a multilayer perceptron (MLP) network, using NVDA (NVIDIA Corporation) stock as the research subject. First, the fundamental principles and structure of the MLP network are introd…
View article: How does digital financial inclusion respond to the urban-rural income gap in counties: effect and mechanism test
How does digital financial inclusion respond to the urban-rural income gap in counties: effect and mechanism test Open
Given that counties encompass approximately 90% of the agricultural population, enhancing agricultural income levels and bridging the urban-rural income (URI) gap constitute fundamental prerequisites for achieving common prosperity. Utiliz…
View article: Value and Path: The Role of Commercial Health Insurance in Constructing a Multi-level Healthcare Security System
Value and Path: The Role of Commercial Health Insurance in Constructing a Multi-level Healthcare Security System Open
In recent years, with strong support from relevant national policies and guidance from the government, the commercial health insurance market has expanded, and the variety and services of products have become increasingly rich. Its develop…
View article: Fuzzy Clustering of Circular Time Series With Applications to Wind Data
Fuzzy Clustering of Circular Time Series With Applications to Wind Data Open
In environmental science, practitioners often deal with data recorded sequentially along time, such as time series of wind direction or wind speed. In this context, clustering of time series is a useful tool to carry out exploratory analys…
View article: Collaborative swarm robotics for sustainable environment monitoring and exploration: Emerging trends and research progress
Collaborative swarm robotics for sustainable environment monitoring and exploration: Emerging trends and research progress Open
This study explores the application of swarm robotics and swarm and evolutionary computing techniques in environmental management and sustainability, a highly specific and increasingly demanding niche research area. Through a bibliometric …
View article: Decentralized Inference for Spatial Data Using Low-Rank Models
Decentralized Inference for Spatial Data Using Low-Rank Models Open
Advancements in information technology have enabled the creation of massive spatial datasets, driving the need for scalable and efficient computational methodologies. While offering viable solutions, centralized frameworks are limited by v…
View article: GPU-Accelerated Modified Bessel Function of the Second Kind for Gaussian Processes
GPU-Accelerated Modified Bessel Function of the Second Kind for Gaussian Processes Open
Modified Bessel functions of the second kind are widely used in physics, engineering, spatial statistics, and machine learning. Since contemporary scientific applications, including machine learning, rely on GPUs for acceleration, providin…
View article: Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes
Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes Open
Detecting anomalies in crowded video scenes is critical for public safety, enabling timely identification of potential threats. This study explores video anomaly detection within a Functional Data Analysis framework, focusing on the applic…
View article: Enhancing fault detection in wastewater treatment plants: a multi-scale principal component analysis approach with the Kantorovich distance
Enhancing fault detection in wastewater treatment plants: a multi-scale principal component analysis approach with the Kantorovich distance Open
Wavelet-based filtering combined with PCA effectively denoises data. The KD-driven method offers a reliable metric for detecting deviations from normal conditions without needing labelled data, making it suitable for anomaly detection.
View article: Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes
Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes Open
Detecting anomalies in crowded video scenes is critical for public safety, enabling timely identification of potential threats. This study explores video anomaly detection within a Functional Data Analysis framework, focusing on the applic…
View article: ROBCPCA: A Robust Multivariate Time Series Clustering Method Based on Common Principal Component Analysis
ROBCPCA: A Robust Multivariate Time Series Clustering Method Based on Common Principal Component Analysis Open
Multivariate time series (MTS) clustering is crucial for analyzing complex temporal data across various fields. Principal component analysis (PCA)-based methods are popular for their effectiveness in dimensionality reduction, but they are …
View article: Visualization and Assessment of Copula Symmetry
Visualization and Assessment of Copula Symmetry Open
Visualization and assessment of copula structures are crucial for accurately understanding and modeling the dependencies in multivariate data analysis. In this article, we introduce an innovative method that employs functional boxplots and…
View article: Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations Open
Gaussian Processes (GPs) are vital for modeling and predicting irregularly-spaced, large geospatial datasets. However, their computations often pose significant challenges in large-scale applications. One popular method to approximate GPs …
View article: PLS-based hellinger distance method for fault detection in chemical engineering systems
PLS-based hellinger distance method for fault detection in chemical engineering systems Open
Fault detection is vital in chemical engineering systems to maintain operational efficiency, product quality, and safety through timely identification and correction of deviations from expected behavior. Although partial least squares (PLS…
View article: Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study
Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study Open
Accurate wind power prediction is critical for efficient grid management and the integration of renewable energy sources into the power grid. This study presents an effective deep-learning approach that improves short-term wind power forec…