Few studies have been conducted to systematically assess post-earthquake condition of structures using vibration measurements. This paper presents system identification and finite element (FE) ...

Abstract: Structural damage identification (SDI) is of paramount importance for ensuring the long-term safety and effectiveness of various structures. However, existing identification methods require ...

Department of Control Problems, MIREARussian Technological University, Moscow, Russia. Examples [18] are known when BWM parameters estimations do not coincide with results obtained for other inputs.

Abstract: Due to the risk of data leakage while training deep learning models in a shared environment, we propose a new privacy-preserving deep learning (PPDL) method using a structural image ...

Petroleum and Environmental Geochemistry Group, Biogeochemistry Research Centre, Plymouth University, Plymouth, Devon PL4 8AA, U.K. *Phone: +44 (0)1752 584557. Fax: +44(0)1752 584710. E-mail: [email ...

The vast array of molecular isomerisms which form the complex molecular structure of carbohydrates is the foundation of their biological versatility but defies the analytical chemist. Hyphenations of ...

Closed-form model expression is commonly required for parametric data assimilation (e.g., model updating, damage quantification, and so on). However, epistemic bias due to fixing the model class is a ...

Human chromosome structural variants (SVs) are balanced/unbalanced genomic abnormalities that include translocation, inversion, insertion and deletion/duplication events with a size of >50bp. The ...

This is the official implementation of MG-SCR model presented by "Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification". The codes are ...