Results 101 to 110 of about 8,808,649 (394)
Collision‐Resilient Winged Drones Enabled by Tensegrity Structures
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui +5 more
wiley +1 more source
Research on the Contagion Mechanism of Associated Credit Risk in the Supply Chain
In recent years, the credit crisis of Hainan Airlines Holding Co., Ltd., (HNA), Suntech, Bogang, Dunan, Chengxing and other enterprises, as well as the fact that many enterprises and financial institutions in the supply chain suffer heavy losses caused ...
Xiaofeng Xie +3 more
doaj +1 more source
Dimensions Of The Credit Risk Analysis Process And Credit Risk [PDF]
The credit analysis represents the crediting risk evaluation process. The crediting risk must be considered based on what the bank expects achieve as a result of the crediting activities. The credit analyze process has two sides, a quantitative one and a qualitative one. The risk existence produces a risk exposure.
openaire +2 more sources
e-Quarterly Research Bulletin (Vol. 5, No. 1) [PDF]
[Excerpt] Macro financial risk propagation and its implications on financial stability have emerged as major concerns of governments and financial institutions, particularly those with large financial asset pools. The global financial crisis in 2008–2009
Asian Development Bank
core +2 more sources
Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka +4 more
wiley +1 more source
Credit Risk Analysis Using Machine and Deep Learning Models
Due to the hyper technology associated to Big Data, data availability and computing power, most banks or lending financial institutions are renewing their business models.
P. Addo, D. Guégan, Bertrand K. Hassani
semanticscholar +1 more source
Characterization and Reporting Protocols for Structural Power Composites: A Perspective
Here, the issues for testing and reporting on structural power composites are described: multifunctional materials that can carry loads while providing electrical energy. As well as proposing best practice, the development of a “universal coupon” is recommended for studying these materials and any interactions that occur between the two functions ...
Emile S. Greenhalgh +13 more
wiley +1 more source
Network based credit risk models
Peer-to-Peer lending platforms may lead to cost reduction, and to an improved user experience. These improvements may come at the price of inaccurate credit risk measurements, which can hamper lenders and endanger the stability of a financial system.
Paolo Giudici +2 more
semanticscholar +1 more source
Toward Complete CO2 Electroconversion: Status, Challenges, and Perspectives
Electrocatalytic CO2 reduction and CO2 batteries face challenges in achieving complete CO2 conversion with high conversion rates and Faradaic efficiency simultaneously. Existing systems compromise one for the other with incomplete CO2 conversion and inefficiencies, hindering practical applications. This perspective highlights state‐of‐the‐art progress,
Changfan Xu +5 more
wiley +1 more source
Associated Credit Risk Contagion with Incubatory Period: A Network-Based Perspective
Associated credit risk is a kind of credit risk among the associated credit entities formed by credit-related entities. Focusing on this hot topic of associated credit risk and the relevant contagion and considering the latent entities and their ...
Kai Xu +5 more
doaj +1 more source

