Results 61 to 70 of about 7,295,761 (348)
This article examines the relationship between implementing sustainable development measures and financial risk in the context of global companies and the recycling economy.
Lazar A. Badalov+3 more
doaj +1 more source
Explainable Machine Learning in Credit Risk Management
The paper proposes an explainable Artificial Intelligence model that can be used in credit risk management and, in particular, in measuring the risks that arise when credit is borrowed employing peer to peer lending platforms.
N. Bussmann+3 more
semanticscholar +1 more source
Credit risk prediction in an imbalanced social lending environment [PDF]
Credit risk prediction is an effective way of evaluating whether a potential borrower will repay a loan, particularly in peer-to-peer lending where class imbalance problems are prevalent.
Anahita Namvar+3 more
semanticscholar +1 more source
Water impacting, freezing, melting, and being mechanically removed from the designed dielectric surfaces generates a triboeletric signal that can be used to detect various icing and de‐icing scenarios. The charge transferred directly scales with the interfacial fracture mechanism, further validating triboelectricity as an excellent ice‐detection ...
Kamran Alasvand Zarasvand+12 more
wiley +1 more source
Recycling and Sustainable Design for Smart Textiles − A Review
The article reviews recycling strategies and sustainable design approaches for smart textiles, emphasizing eco‐friendly materials, mechanical and chemical recycling methods, and circular economy principles. It explores challenges in separating embedded electronics and highlights recent innovations in sustainable textile technology.
Melkie Getnet Tadesse+3 more
wiley +1 more source
A network model of stress contagion: evidence from the vocational classroom
Purpose Our study focuses on stress contagion in vocational school classes, examining how students’ stress experiences affect their spatial classmates.
Tobias Kärner+2 more
doaj +1 more source
Data-Driven Approach for Credit Risk Analysis Using C4.5 Algorithm
Credit risk is bad credit, resulting in bank losses due to non-receipt of disbursed funds and unacceptable interest income. However, credit services still have to be done to achieve profit. The absence of an approach that can assist in making policies to
Muhammad Iqbal, Syahril Efendi
doaj +1 more source
Credit Risk Transfers and the Macroeconomy [PDF]
The recent financial crisis has highlighted the limits of the 'originate to distribute' model of banking, but its nexus with the macroeconomy and monetary policy remains unexplored. I build a DSGE model with banks (along the lines of Holmström and Tirole [28] and Parlour and Plantin [39]) and examine its properties with and without active secondary ...
openaire +8 more sources
Fintech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk
Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion.
Majid Bazarbash
semanticscholar +1 more source
This study evaluates the environmental trade‐offs of different rice husk management strategies using a life cycle assessment (LCA) approach. It compares biochar production for water treatment and soil improvement with direct incineration for energy generation.
José Lugo‐Arias+7 more
wiley +1 more source