-
541
A modified single-vector based FCS-MPC with delayed and suboptimal switching for VSI
Published 2025-10-01Get full text
Article -
542
Research on the Quality Variation Patterns During the Fermentation Process of Coffee-Grounds Craft Beer
Published 2025-03-01Get full text
Article -
543
SonarNet: Global Feature-Based Hybrid Attention Network for Side-Scan Sonar Image Segmentation
Published 2025-07-01Get full text
Article -
544
-
545
-
546
Vegetation Dynamics and Response to Climate Change in Yarlung Tsangpo River Basin During 1981–2020
Published 2025-02-01Get full text
Article -
547
A METHOD AND APPLICATION TO IDENTIFY REASONS FOR DECREASING VEHICLES’ DRIVING SPEED IN CITIES
Published 2018-03-01“…The results can be useful for traffic management authorities, municipal traffic, road planning departments and mobile apps designers.…”
Get full text
Article -
548
Design and Study of Walking Mechanism of Deformable Wheel-legged Robot
Published 2021-01-01“…The working principle of the wheel with variable structure is introduced. The mechanism executes wheeled mode on the flat road, and walks in wheel mode when encountering obstacles, it switches to a petals-type mode to cross obstacles. …”
Get full text
Article -
549
Damage Constitutive Model of Microcrack Rock under Tension
Published 2020-01-01Get full text
Article -
550
Sarco-Osteoporosis: Prevalence and Association with Frailty in Chinese Community-Dwelling Older Adults
Published 2015-01-01Get full text
Article -
551
Optimization Study on Stakeholder Capability Configuration in Green Construction
Published 2024-10-01Get full text
Article -
552
Examination of analytical shear stress predictions for coastal dune evolution
Published 2025-01-01Get full text
Article -
553
-
554
-
555
Machine learning-based identification and assessment of snow disaster risks using multi-source data: Insights from Fukui prefecture, Japan
Published 2025-04-01“…We employed four machine learning models—Decision Tree, Random Forest, Multilayer Perceptron (MLP), and Extreme Gradient Boosting (XGBoost)—to capture complex nonlinear relationships among influencing factors and applied SHAP (SHapley Additive exPlanations) theory to interpret variable contributions. The results reveal that: (1) compared to Random Forest, Decision Tree, and MLP models, the XGBoost model demonstrates superior performance with a prediction accuracy of 0.8225; (2) factors such as elevation, slope, road density, and road width exhibit significant nonlinear impacts and threshold effects on snowstorm impact occurrence; (3) Urban areas with elevation below 51.9m, slopes exceeding 9.9°, a density of major roads (Road Type 1) less than 443.75m/km2, a density of minor roads (Road Type 2) less than 550.25m/km2, and where rural roads (Road Type 3) are nearly absent, along with population fluctuations ranging between −0.25,0, are particularly vulnerable to snow disasters. …”
Get full text
Article -
556
-
557
-
558
Mouse Brain PSA-NCAM Levels Are Altered by Graded-Controlled Cortical Impact Injury
Published 2012-01-01Get full text
Article -
559
-
560