[HTML][HTML] Operational research and artificial intelligence methods in banking
Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …
operational research (OR) and artificial intelligence (AI) methods. This article provides a …
A review of the applications of genetic algorithms to forecasting prices of commodities
K Drachal, M Pawłowski - Economies, 2021 - mdpi.com
This paper is focused on the concise review of the specific applications of genetic algorithms
in forecasting commodity prices. Genetic algorithms seem relevant in this field for many …
in forecasting commodity prices. Genetic algorithms seem relevant in this field for many …
Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …
intensive applications but they only have limited resources, including CPU, memory, battery …
A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector
With the manufacturing reshoring to the US, increasing attention are focus on its energy
consumption and environmental effects and accurate prediction of carbon emissions is vital …
consumption and environmental effects and accurate prediction of carbon emissions is vital …
A hybrid model of internet of things and cloud computing to manage big data in health services applications
Over the last decade, there has been an increasing interest in big data research, especially
for health services applications. The adoption of the cloud computing and the Internet of …
for health services applications. The adoption of the cloud computing and the Internet of …
Bezier curve based path planning in a dynamic field using modified genetic algorithm
M Elhoseny, A Tharwat, AE Hassanien - Journal of Computational Science, 2018 - Elsevier
Mobile robots have been used in different applications such as assembly, transportation,
and manufacturing. Although, the great work to get the optimum robot's path, traditional path …
and manufacturing. Although, the great work to get the optimum robot's path, traditional path …
Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm
Path planning algorithms have been used in different applications with the aim of finding a
suitable collision-free path which satisfies some certain criteria such as the shortest path …
suitable collision-free path which satisfies some certain criteria such as the shortest path …
An explainable AI decision-support-system to automate loan underwriting
Widespread adoption of automated decision making by artificial intelligence (AI) is
witnessed due to specular advances in computation power and improvements in …
witnessed due to specular advances in computation power and improvements in …
A novel real-time penetration path planning algorithm for stealth UAV in 3D complex dynamic environment
Z Zhang, J Wu, J Dai, C He - Ieee Access, 2020 - ieeexplore.ieee.org
In recent years, stealth aircraft penetration path planning has been a significant research
subject in the field of low altitude combat. However, previous works have mainly …
subject in the field of low altitude combat. However, previous works have mainly …
Prediction of compressive strength of geopolymer concrete using entirely steel slag aggregates: Novel hybrid artificial intelligence approaches
DV Dao, SH Trinh, HB Ly, BT Pham - Applied Sciences, 2019 - mdpi.com
Geopolymer concrete (GPC) is applied successfully in the construction of civil engineering
structures. This outcome confirmed that GPC can be used as an alternative material to …
structures. This outcome confirmed that GPC can be used as an alternative material to …