Chengdu University of Technology

Real-time multi-station microseismic event detection via transfer learning of computer vision deep learning model

Summary With the shale gas exploration and development into deep strata (> 3500 m in depth), weak signal detection becomes more challenging and vital in surface-based microseismic monitoring. Most existing deep learning approaches are trained on synthetic or single-station data,...

Thermal Regulation of Urban Waterfront Spaces Across Functional Districts: A Multi-Scale Analysis of Morphological Influences in Chengdu, China Effect

Urban waterfront spaces play an increasingly important role in mitigating urban heat and supporting climate-resilient urban development. However, previous studies have primarily focused on individual waterfront sites or local microclimatic simulations, with comparatively limited...

Multi-Level Kinematic Spectral Response of a Floating Offshore Wind Turbine: Baseline Analysis Using Field Measurement Data

Floating offshore wind turbines (FOWTs) experience coupled aero–hydro–servo-elastic excitations that produce structurally distinct kinematic responses at different measurement heights. While field monitoring campaigns increasingly deploy multi-level inertial sensors, the quantita...

Gray Langurs Optimizer-Optimized Feature Mode Decomposition for Adaptive Denoising of Multi-Source Monitoring Data from Floating Offshore Wind Turbines

Feature Mode Decomposition (FMD) adaptively decomposes signals into band-limited modes through an adaptive finite impulse response (FIR) filter bank optimized via correlated kurtosis (CK) maximization, yet its denoising performance is highly sensitive to four hyperparameters—the...

A Novel Multi-Scale Dual-Modality CNN Approach Leveraging Light and Dark Fingerprints for RSS-Based Indoor Positioning

Traditional indoor localization using received signal strength (RSS) fingerprinting commonly uses measured RSS values as location-related inputs. This paper investigates a paired light–dark representation of an RSS fingerprint image and a cross-modality multi-scale fusion model f...

Ecological Health Assessment of the Yuejiang River in Sichuan Province Based on the PCA–Entropy Weight Method

River-health assessment in small rural watersheds requires the integration of multiple environmental indicators, yet correlated variables may be repeatedly represented when they are weighted independently. This study evaluated the ecological health of the Yuejiang River in Dongpo...

Deep structure and tectonic controls of the Majiaoba area inferred from gravity and magnetics data by multi-criteria-evaluation-driven adaptive focusing Inversion

Abstract The Majiaoba area, on the northwestern margin of the Longmen Mountains within the Sichuan Basin, exposes a complete Silurian–Triassic succession. Silurian–Devonian strata are widespread, Carboniferous–Triassic formations are well developed, and metamorphic or igneous roc...

COVID-19 Mathematical Modeling During the First Five Years: A Comprehensive Review of Classical, Stochastic, and Fractional Approaches

Mathematical modeling has played a crucial role in epidemiological research, its importance amplified during the COVID-19 pandemic. This comprehensive review provides a five-year analysis of mathematical models developed to understand and control COVID-19 transmission. The review...

Shear Mechanical Behavior of Lunar Regolith Simulant with Different Relative Densities Under Thermal–Mechanical Coupling

The mechanical behavior of lunar regolith is crucial for lunar exploration projects, particularly drilling and sampling equipment. However, the extremely limited quantity of returned lunar regolith is insufficient for systematic macroscopic mechanical testing. Lunar regolith simu...

Does Smart City Policy Widen the Urban–Rural Income Gap? Evidence from the Yangtze River Delta Using a Double Machine Learning Approach

The urban–rural income gap remains a major obstacle to achieving common prosperity and poses a key challenge for developing countries undergoing modernization. Smart city initiatives may reshape wealth creation and income distribution while promoting urban development. Using pane...

Early development of anoxia prior to the main euxinic phase of the Jenkyns Event on the margin of the Western Tethys (Sachrang Basin, Eastern Alps)

ABSTRACT Although the global expansion of oxygen‐depleted marine environments during the Early Toarcian Jenkyns Event (or Toarcian Oceanic Anoxic Event) is primarily inferred from successions in the NW European epicontinental basins, the timing of the expansion of anoxia in Tethy...

Motivational Trajectories of Chinese Secondary School EFL Learners: Understanding Demotivation and Remotivation Through a Bioecological Lens

This study drew on bioecological systems theory to investigate factors influencing demotivation and remotivation among Chinese secondary school EFL learners. Adopting a sequential explanatory mixed-methods design, 129 Grade-12 students were asked to create motivational change gra...

Cerium isotopic behavior during gabbro weathering in a tropical climate

Cerium (Ce) is a redox-sensitive element, making it an effective tracer for continental weathering processes. To elucidate mechanisms of Ce isotopic fractionation during chemical weathering processes, we analyzed Ce isotopic compositions across a well-developed latosol profile de...

Managing hydraulic fracturing-induced seismicity in the Duvernay shale: Triggering mechanisms, influencing factors, and practice-oriented mitigation strategies

Abstract This review provides a Duvernay-focused synthesis of hydraulic fracturing (HF)-induced seismicity, integrating geological datasets, case studies of significant events, coupled poroelastic simulations, and machine-learning-based factor ranking. While the three underlying...

Evidence driven dual granularity cross modal reasoning for cultural heritage visual language understanding

This paper addresses a critical limitation in vision-language models for cultural heritage understanding, namely the lack of explicit evidence-centered reasoning mechanisms. Existing approaches typically treat visual evidence as a post hoc explanation rather than an intrinsic com...

Encoder Choice Outweighs Modular Refinement in U-Net Architectures for Globally Distributed Coseismic Landslide Segmentation

Rapid post-earthquake landslide mapping is critical for emergency response, yet the quantitative hierarchy of architectural choices in U-Net-based segmentation remains unresolved. Using the Globally Distributed Coseismic Landslide Dataset (GDCLD; nine earthquakes, four continents...

Multi-Year Variation Characteristics and Driving Forces of Groundwater Levels in the Yibin Area, Southern Sichuan, China

To support groundwater protection and sustainable utilization in southern Sichuan, this study aims to clarify the multi-year variation characteristics of groundwater levels (GWLs) and identify their main driving factors in the Yibin region. In this paper, 2019–2024 GWL monitoring...

Health-related fitness mediates the longitudinal association between engagement in fundamental movement skill-related activities and social interaction abilities in the ABCD study

Under the Know it-Do it-Love it (KDL) framework, structured physical activity is expected to support adolescents’ social development. Guided by the KDL concept, this study examined the longitudinal association between engagement in fundamental movement skill (FMS)-related activit...

Gamma-Irradiation-EnhancedReduction of 99Tc(VII) and Re(VII) by Natural Pyrite

Abstract Reductive immobilization of 99Tc(VII) to sparingly soluble TcO2-type phases is a key process limiting 99Tc transport in the environment. However, the reactivity of natural pyrite toward 99Tc(VII) under conditions relevant to nuclear waste repositories remains poorly unde...

Landslide Susceptibility Assessment Using a Machine Learning Model with VAE-CDM Sample Augmentation: A Case Study of Southeastern Xizang

Landslide susceptibility mapping in alpine regions with limited data has two persistent obstacles: too few recorded landslide cases and the questionable reliability of non-landslide samples. We address these issues with a hybrid generative framework—a Variational Autoencoder (VAE...