Reset
Showing 20 of 100 academic articles

Does economic policy uncertainty affect insurance premiums? Fresh empirical evidence

Saeed Sazzad Jeris, Shahriar Frances, Mst Taskia Akter, Majed Alharthi • Heliyon (2023)

Economic Policy Uncertainty (EPU) is the level of uncertainty or unpredictability arising from government policy on topics such as taxes, trade, monetary policy, and regulation. Exploring the relationship between EPU and insurance premiums ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2023.e16122

The extent of perceived exposure to economic crime in public and private business: Survey research in Norway

Petter Gottschalk • Journal of Economic Criminology (2023)

Half of all finance and insurance firms in Norway report that they are exposed to economic crime, particularly fraud, every year. On the other hand, only eighteen percent in public administration and defense perceive similar exposure to eco...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jeconc.2023.100037

Hyperuricemia and dementia – a case-control study

Bettina Engel, Willy Gomm, Karl Broich, Wolfgang Maier et al. • BMC Neurology (2018)

Abstract Background There is evidence that uric acid may have antioxidant and neuroprotective effects and might therefore alter the risk for neurodegenerative diseases such as dementia. So far, the relation between serum uric acid (SUA) lev...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12883-018-1136-y

Estimates for Lyme borreliosis infections based on models using sentinel canine and human seroprevalence data

Michael J. Cook, Basant K. Puri • Infectious Disease Modelling (2020)

Two models were developed to estimate Lyme borreliosis (LB) cases. One was based on the seroprevalence of Borrelia infections in human samples. This model used corrections for false negative and false positive results from published test se...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.idm.2020.10.004

Transitioning to a Hyperledger Fabric Quantum-Resistant Classical Hybrid Public Key Infrastructure

Robert Campbell • The Journal of The British Blockchain Association (2019)

This research has two parts; the first is to identify enterprise Hyperledger Fabric (HLF) blockchain cybersecurity vulnerabilities, threats, and legal obligations in a Post-Quantum Cryptography (PQC) world. HLF is a permissioned blockchain ...

DOAJ Open Access (DOAJ) DOI: 10.31585/jbba-2-2-(4)2019

Industry quantum computing applications

Andreas Bayerstadler, Guillaume Becquin, Julia Binder, Thierry Botter et al. • EPJ Quantum Technology (2021)

Abstract Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, and machine learning problems. Europe and Germany are in the process of successfully establishing resea...

OPENALEX cc-by DOI: https://doi.org/10.1140/epjqt/s40507-021-00114-x

Endorsements, licensing, and insurance for distributed system services

Gennady Medvinsky, Charlie Lai, Clifford Neuman • ACM SIGSAC Conference on Computer and Communications Security (CCS) (1994)

Clients in a distributed system place their confidence in many servers, and servers themselves rely on other servers for file storage, authentication, authorization, and payment. When a system spans administrative boundaries it becomes hard...

OPENALEX Open Access DOI: https://doi.org/10.1145/191177.191215

Cybersecurity

Ishaani Priyadarshini, Chase Cotton • Apple Academic Press eBooks (2022)

"This book is the first of its kind to introduce the integration of ethics, laws, risks, and policies in cyberspace. The book will advance understanding of the ethical and legal aspects of cyberspace followed by the risks involved along wit...

OPENALEX DOI: https://doi.org/10.1201/9781003187127

Introduction on Cybersecurity

Ishaani Priyadarshini • Wiley eBooks (2019)

This chapter contains sections titled: Introduction to Cybersecurity Cybersecurity Objectives Cybersecurity Infrastructure and Internet Architecture (NIST) Cybersecurity Roles Cybercrimes Security Models Computer Forensics Cyber Insurance F...

OPENALEX DOI: https://doi.org/10.1002/9781119488330.ch1

Cyber risk and cybersecurity: a systematic review of data availability

Frank Cremer, Barry Sheehan, Michael Fortmann, Arash Negahdari Kia et al. • The Geneva Papers on Risk and Insurance Issues and Practice (2022)

Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020, indicating an increase of more than 50% since 2018. With the average cyber insurance claim rising from USD 145,000 in 2019 to USD 359,000 in 2020, th...

OPENALEX cc-by DOI: https://doi.org/10.1057/s41288-022-00266-6 PMC: 8853293

Cybersecurity Risks in a Pandemic

Christina Meilee Williams, Rahul Chaturvedi, Krishnan V Chakravarthy • Journal of Medical Internet Research (2020)

Cybersecurity threats are estimated to cost the world US $6 trillion a year by 2021, and the number of attacks has increased five-fold after COVID-19. Although there is substantial literature on the threats technological vulnerabilities hav...

OPENALEX cc-by DOI: https://doi.org/10.2196/23692 PMC: 7528623

Blockchain Metamorphosis: Transforming Traditional Finance through Decentralization and Transparency

Mays Moneer Abd Ali, Bashar M. Nema • Iraqi Journal for Computers and Informatics (2024)

This study investigates how decentralization and transparency offered by blockchain technology could revolutionize traditional finance. Even with the rise of well-known cryptocurrencies such as Bitcoin and Ethereum, a general understanding ...

DOAJ Open Access (DOAJ) DOI: 10.25195/ijci.v50i1.481

Analysis of Customer Churn Classification for Sinarmas Syariah Lhokseumawe Insurance Services Using Deep Learning Tabnet and Explainable AI

Syarifah Muliana, Taufiq Taufiq, Munirul Ula • Journal of Applied Informatics and Computing (2026)

Customer churn is a major challenge in the insurance industry because it directly affects customer retention, business sustainability, and company profitability. Early identification of customers at risk of churn is therefore essential for ...

DOAJ Open Access (DOAJ) DOI: 10.30871/jaic.v10i3.12864

A Survey on Deep Learning for Steering Angle Prediction in Autonomous Vehicles

Usman Manzo Gidado, Haruna Chiroma, Nahla Aljojo, Saidu Abubakar et al. • IEEE Access (2020)

Steering angle prediction is critical in the control of Autonomous Vehicles (AVs) and has attracted the attention of researchers, manufacturers, and insurance companies in the automotive industry. Different Deep Learning (DL) architectures ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3017883

Deep Learning in Mammography

Anton S. Becker, Magda Marcon, Soleen Ghafoor, Moritz C. Wurnig et al. • Investigative Radiology (2017)

OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mam...

OPENALEX DOI: https://doi.org/10.1097/rli.0000000000000358

A review of machine learning in obesity

K. W. DeGregory, Patrick K. Kuiper, Thomas DeSilvio, James D. Pleuss et al. • Obesity Reviews (2018)

Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical health records and insurance data can bring new insights for understanding, preventing and treating obesity. For such large datasets, machine lea...

OPENALEX Open Access DOI: https://doi.org/10.1111/obr.12667 PMC: 8176949

Risk of Ischemic Heart Disease in Patients With Postpancreatectomy Diabetes and Pancreatic Cancer: A Population‐Based Study

Daegwang Yoo, Minsun Kang, Jaehun Jung • Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (2023)

Background Postpancreatectomy diabetes can be caused by resection of functioning pancreatic tissue and is associated with postoperative pancreatic islet cell mass loss and subsequent endocrine dysfunction. Diabetes is a well‐known risk fact...

DOAJ Open Access (DOAJ) DOI: 10.1161/JAHA.123.031321