Results 21 to 30 of about 3,666,543 (317)
An efficient security risk estimation technique for risk-based access control model for IoT [PDF]
, 2019 The need to increase information sharing in the Internet of Things (IoT) applications made the risk-based access control model to be the best candidate for both academic and commercial organizations. Risk-based access control model carries out a security
Atlam, Hany F. +2 more
core +1 more source
Local Linear Approximation Algorithm for Neural Network
Mathematics, 2022 This paper aims to develop a new training strategy to improve efficiency in estimation of weights and biases in a feedforward neural network (FNN). We propose a local linear approximation (LLA) algorithm, which approximates ReLU with a linear function at
Mudong Zeng +3 more
doaj +1 more source
An Entropic Approach for Pair Trading
Entropy, 2017 In this paper, we derive the optimal boundary for pair trading. This boundary defines the points of entry into or exit from the market for a given stock pair.
Daisuke Yoshikawa
doaj +1 more source
Credit Risk Model Based on Central Bank Credit Registry Data [PDF]
, 2021 Data science and machine-learning techniques help banks to optimize enterprise operations, enhance risk analyses and gain competitive advantage. There is a vast amount of research in credit risk, but to our knowledge, none of them uses credit registry as
Fisnik Doko +5 more
core +1 more source
Integrating Blue Energy in Maritime Spatial Planning of Mediterranean Regions
Frontiers in Energy Research, 2022 Blue Energy (BE) is expected to play a strategic role in the energy transition of Europe, particularly toward the 2050 horizon. It refers to a set of Marine Energy Sources (MES), including offshore wind, waves, tides, marine currents, sea thermal energy,
Riccardo Maria Pulselli +22 more
doaj +1 more source
SSRN Electronic Journal, 2016 44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Kakushadze, Zura, Yu, Willie
openaire +2 more sources
Ensemble Risk Model of Emergency Admissions (ERMER) [PDF]
, 2017 Introduction About half of hospital readmissions can be avoided with preventive interventions. Developing decision support tools for identification of patients’ emergency readmission risk is an important area of research. Because, it remains unclear how
Mesgarpour, M. +2 more
core +1 more source
Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates [PDF]
Natural Hazards and Earth System SciencesProbabilistic tsunami hazard assessment and probabilistic tsunami risk assessment (PTHA and PTRA) are vital methodologies for computing tsunami risk and prompt measures to mitigate impacts. However, their application across extensive coastlines, spanning
N. Ragu Ramalingam +4 more
doaj +1 more source
Digital Health, 2023 Objective Continuous physiological measurements during a laboratory-based exercise test can provide physiological biomarkers, such as heart rate (HR) and oxygen uptake (V̇O 2 ) kinetics, that carry clinically relevant information.
Joren Buekers +6 more
doaj +1 more source
Model Risk in Portfolio Optimization
Risks, 2014 We consider a one-period portfolio optimization problem under model uncertainty. For this purpose, we introduce a measure of model risk. We derive analytical results for this measure of model risk in the mean-variance problem assuming we have ...
David Stefanovits +2 more
doaj +1 more source