Results 201 to 210 of about 7,295,761 (348)
Data sources used in bibliometrics 1978–2022: From proprietary databases to the great wide open
Abstract Traditionally, the bibliometric community has relied heavily on secondary data sources, most prominently the Science Citation Index. By analyzing three key journals, we detected trends in the data sources used over a 45‐year period (1978–2022).
Camilla Hertil Lindelöw+2 more
wiley +1 more source
Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review. [PDF]
Paz Á+7 more
europepmc +1 more source
This Concept describes a virtual reality application called Battery Manufacturing Metaverse which is designed to train students on using a battery manufacturing pilot line. It allows trainers and trainees to join the metaverse from different locations in the world and take part in the training.
Soorya Saravanan+8 more
wiley +1 more source
Research on credit risk of listed companies: a hybrid model based on TCN and DilateFormer. [PDF]
Shen C, Wu J.
europepmc +1 more source
Business and Default Cycles for Credit Risk [PDF]
Siem Jan Koopman, André Lucas
openalex +1 more source
Abstract Variability in fossil fuel prices and a commitment to reducing greenhouse gas (GHG) emissions have driven the US pulp and paper (P&P) industry to adopt technologies that decrease reliance on fossil fuels. In this regard, enhancing energy efficiency is crucial to the decarbonization of the sector.
Rodrigo Buitrago‐Tello+5 more
wiley +1 more source
The impact of liquidity risk and credit risk on bank profitability during COVID-19. [PDF]
Haris M, Yao H, Fatima H.
europepmc +1 more source
In sickness and in debt: The COVID-19 impact on sovereign credit risk. [PDF]
Augustin P+3 more
europepmc +1 more source
Abstract Biochar has attracted considerable attention in recent years for its wide‐ranging applications, particularly its role in carbon sequestration as a strategy to mitigate greenhouse gas emissions. Its emerging uses within the circular bioeconomy also position it as a valuable tool for environmental management, and ongoing research continues to ...
Jean Agustin Velasquez‐Pinas+6 more
wiley +1 more source
A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment. [PDF]
Yu T, Huang W, Tang X, Zheng D.
europepmc +1 more source