Results 11 to 20 of about 3,488,226 (327)
Graph Neural Networks and Open-Government Data to Forecast Traffic Flow
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control.
Petros Brimos +3 more
doaj +1 more source
The Impact of Accounting Information Systems on Performance Management in the Banking Sector
This study investigated the impact of Accounting Information Systems (AIS) on performance management in Thailand’s banking sector. The study was necessitated by the need to understand the financial performance of banks in Thailand in application of ...
Bilal Khalid, M. Kot
semanticscholar +1 more source
Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods
Dynamic data (including environmental, traffic, and sensor data) were recently recognized as an important part of Open Government Data (OGD). Although these data are of vital importance in the development of data intelligence applications, such as ...
Areti Karamanou +3 more
doaj +1 more source
Background Cancer registries collect patient-specific information about cancer diseases. The collected information is verified and made available to clinical researchers, physicians, and patients.
Philipp Röchner, Franz Rothlauf
doaj +1 more source
Integrated Curriculum for a Bachelor of Science in Business Information Systems Design (BISD 2010)
Sven A. Carlsson +2 more
openalex +3 more sources
Goal: This study aims to examine the mediating role of strategic orientations in the relationship between entrepreneurial orientation and performance of small and medium enterprises (SMEs) in Saudi Arabia.
Mohammed Abdulrab +5 more
doaj +1 more source
People are increasingly getting type II diabetes mellitus (T2DM) due to unhealthy food styles, decreased outdoor activities caused by the COVID-19 pandemic, and unawareness of type II diabetes risk factors.
Fatemeh Navazi, Yufei Yuan, Norm Archer
doaj +1 more source
With the growing availability and complexity of time-series sequences, scalable and robust machine learning approaches are required that overcome the sampling challenge of quantitatively sufficient training data.
Jan Gross +2 more
doaj +1 more source
Artificial intelligence—friend or foe in fake news campaigns
In this paper the impact of large language models (LLM) on the fake news phenomenon is analysed. On the one hand decent text‐generation capabilities can be misused for mass fake news production.
Węcel Krzysztof +6 more
doaj +1 more source
Societal Responsibility of Business and Information Systems [PDF]
In this chapter, we present the development of the (CSR) corporate social responsibility as a factor of development of the use of the IS. First, we examine in detail how companies can seek to optimize the (positive or negative) externalities associated with ICTs in their lifecycle.
Poissonnier, Hugues +3 more
openaire +4 more sources

