Results 141 to 150 of about 32,905 (294)
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Research on the location model of emergency rescue facilities based on disaster risk-A Case study of earthquake disaster. [PDF]
Li Q +6 more
europepmc +1 more source
This study employs a nanochain engineering approach combined with an in situ oxidation strategy to fabricate self‐insulating iron‐based magnetic nanochains, addressing the challenge of balancing magnetic coupling and electrical insulation in soft magnetic materials.
Dingrong Zuo +8 more
wiley +1 more source
Risk assessment of geologic hazards in county-slope units based on RF-AER-AHP combined models. [PDF]
Wen Y +5 more
europepmc +1 more source
Mitigation of Underground Engineering Disaster
Zhanguo Ma, Jian Sun, Ray Ruichong Zhang
openaire +2 more sources
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Temporal Trends and Geographic Clustering of U.S. Weather-Related Disasters (1989-2019): A Foundational Baseline for Healthcare Preparedness. [PDF]
Lavin R +14 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Bibliometric analysis of scientific research development on drinking water supply in natural disaster-affected areas. [PDF]
Saeid BG, Hesam S, Sajjad R, Mohsen D.
europepmc +1 more source
The symmetry‐driven coexistence of altermagnetism and (anti)ferroelectricity in perovskites shows a strong dimensional dependence. Upon reducing the system from bulk to the two‐dimensional limit, only C‐type antiferromagnetic order retains ferroelectrically switchable altermagnetism, whereas A‐ and G‐type orders become conventional antiferromagnets ...
Zhou Cui +6 more
wiley +1 more source

