Sailing through the COVID‐19 Crisis by Using AI for Financial Market Predictions

GD Sharma, B Erkut, M Jain, T Kaya… - Mathematical …, 2020 - Wiley Online Library
The outbreak of COVID‐19 has brought the world to an unprecedented position where
financial and mental resources are drying up. Livelihoods are being lost, and it is becoming …

Using machine learning algorithms to develop a clinical decision-making tool for COVID-19 inpatients

A Vepa, A Saleem, K Rakhshan… - International journal of …, 2021 - mdpi.com
Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths.
Although multiple risk factors for COVID-19 have been identified, using this data to improve …

Copula-based probabilistic assessment of intensity and duration of cold episodes: A case study of Malayer vineyard region

O Chatrabgoun, R Karimi, A Daneshkhah… - Agricultural and Forest …, 2020 - Elsevier
Frost, particularly during the spring, is one of the most damaging weather phenomena for
vineyards, causing significant economic losses to vineyards around the world each year …

Topic modelling in precision medicine with its applications in personalized diabetes management

C Ni Ki, A Hosseinian‐Far, A Daneshkhah… - Expert …, 2022 - Wiley Online Library
Abstract Advances in Internet of Things (IoT) and analytic‐based systems in the past decade
have found several applications in medical informatics, and have significantly facilitated …

Stochastic modeling of hydroclimatic processes using vine copulas

G Pouliasis, GA Torres-Alves, O Morales-Napoles - Water, 2021 - mdpi.com
The generation of synthetic time series is important in contemporary water sciences for their
wide applicability and ability to model environmental uncertainty. Hydroclimatic variables …

Risk assessment of supply-chain systems: a probabilistic inference method

X Zheng, L Zhang - Enterprise Information Systems, 2020 - Taylor & Francis
The probability of occurrence, occurrence time and holding time make the estimation of the
multiresource, multidimensional, transmissible and dynamic characteristics of supply-chain …

Enhanced prediction of stock markets using a novel deep learning model PLSTM-TAL in urbanized smart cities

S Latif, N Javaid, F Aslam, A Aldegheishem, N Alrajeh… - Heliyon, 2024 - cell.com
Accurate predictions of stock markets are important for investors and other stakeholders of
the equity markets to formulate profitable investment strategies. The improved accuracy of a …

A proper scoring rule for minimum information bivariate copulas

Y Chen, T Sei - Journal of Multivariate Analysis, 2024 - Elsevier
Two-dimensional distributions whose marginal distributions are uniform are called bivariate
copulas. Among them, the one that satisfies given constraints on expectation and is closest …

Economic evaluation of mental health effects of flooding using Bayesian networks

T Sedighi, L Varga, A Hosseinian-Far… - International journal of …, 2021 - mdpi.com
The appraisal of appropriate levels of investment for devising flooding mitigation and to
support recovery interventions is a complex and challenging task. Evaluation must account …

Evaluating the bovine tuberculosis eradication mechanism and its risk factors in England's cattle farms

T Sedighi, L Varga - International Journal of Environmental Research and …, 2021 - mdpi.com
Controlling bovine tuberculosis (bTB) disease in cattle farms in England is seen as a
challenge for farmers, animal health, environment and policy-makers. The difficulty in …