Results 51 to 60 of about 149,590 (309)
Prediction of default probability in banking industry using CAMELS index: A case study of Iranian banks [PDF]
Management Science Letters, 2013 This study examines the relationship between CAMELS index and default probability among 20 Iranian banks. The proposed study gathers the necessary information from their financial statements over the period 2005-2011.
Mohammad Khodaei Valahzaghard +1 more
doaj
A study on detection and defence of malicious code under network security over biomedical devices
The Journal of Engineering, 2022 With the proliferation of massive varieties and unknown malicious viruses, it is difficult to achieve effective and timely defence by anti‐virus technology with virus signature matching as the core.
Tianqing Liu +3 more
doaj +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Estimation of Default Probabilities with Support Vector Machines [PDF]
SSRN Electronic Journal, 2006 Predicting default probabilities is important for firms and banks to operate successfully and to estimate their specific risks. There are many reasons to use nonlinear techniques for predicting bankruptcy from financial ratios. Here we propose the so called Support Vector Machine (SVM) to estimate default probabilities of German firms.
Shiyi Chen +2 more
openaire +2 more sources
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Competing Risk Models of Default in the Presence of Early Repayments
Ekonometria, 2019 One of the central tasks of credit institutions is credit risk assessment, in which the estimation of the probability of default is an important element.
Ewa Wycinka
doaj
Are there macroeconomic predictors of Point-in-Time PD? Results based on default rate data of the Association of Serbian Banks [PDF]
Bankarstvo, 2019 Internal models that banks use to assess the creditworthiness of their borrowers, as a rule, give estimates of the probability of default that cover the entire business cycle.
Božović Miloš
doaj
Risks, 2019 We propose an alternative approach to the modeling of the positive dependence between the probability of default and the loss given default in a portfolio of exposures, using a bivariate urn process.
Dan Cheng, Pasquale Cirillo
doaj +1 more source
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Estimating the Probability of Default for No-Default and Low-Default Portfolios
SSRN Electronic Journal, 2018 SummaryThe paper proposes a sequential Bayesian updating approach to estimate default probabilities on rating grade level for no- and low-default portfolios. Bayesian sequential updating enables default probabilities to be obtained also for those rating grades for which no defaults have been observed. The advantage of this approach is that it preserves
openaire +2 more sources