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Machine learning in economics and finance
The term Machine Learning (ML) was introduced by Arthur Samuel while working for IBM in
1959, mainly to describe the pattern recognition tasks that delivered the “learning” …
1959, mainly to describe the pattern recognition tasks that delivered the “learning” …
Integration of flexible touch panels and machine learning: applications and techniques
J Zheng, Y Chen, Z Wu, Y Wang… - Advanced Intelligent …, 2024 - Wiley Online Library
The rapid advancement of mobile devices and human–machine interaction technologies
has ushered in a new era for flexible touch panels as a novel input interface. This article …
has ushered in a new era for flexible touch panels as a novel input interface. This article …
Monthly ship price forecasting based on multivariate variational mode decomposition
Z Wang, L Chen, H Chen, N ur Rehman - Engineering Applications of …, 2023 - Elsevier
Accurate and reliable ship price forecasts can assist ship** firms, investors, and other
participants to withstand risks and make profits in a highly volatile ship** market …
participants to withstand risks and make profits in a highly volatile ship** market …
The selection of appropriate Ro-Ro Vessel in the second-hand market using the WASPAS'Bonferroni approach in type 2 neutrosophic fuzzy environment
The second-hand vessel market has quite different dynamics than the market of the new-
building vessel, and highly complicated and conflicting criteria and many uncertainties affect …
building vessel, and highly complicated and conflicting criteria and many uncertainties affect …
Newbuilding ship price forecasting by parsimonious intelligent model search engine
Asset prices play a significant role in the financial survival and profitability of ship-owning
firms. In a highly volatile ship** market, prices of newbuilding ships must be predicted to …
firms. In a highly volatile ship** market, prices of newbuilding ships must be predicted to …
Which forecasting models are employed in the ship** industry? Identifying key themes and future directions through an integrative review
CS Fiskin, AG Cerit - International Journal of Maritime …, 2021 - intmaritimeengineering.org
Develo** accurate forecasting models provides the capability of handling the uncertain,
volatile, and complex nature of the ship** industry. The outcome of the forecasts directly …
volatile, and complex nature of the ship** industry. The outcome of the forecasts directly …
Enhancing financial time series forecasting in the ship** market: A hybrid approach with Light Gradient Boosting Machine
X Song, ZS Chen - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Accurately forecasting financial time series in the dynamic ship** market is vital for
stakeholders, such as shipowners, investors, brokers, and shipyards. This paper introduces …
stakeholders, such as shipowners, investors, brokers, and shipyards. This paper introduces …
Evaluation of the second-hand LNG tanker vessels using fuzzy MCGDM approach based on the Interval type-2 fuzzy ARAS (IT2F–ARAS) technique
Selecting appropriate LNG tankers is paramount in the maritime sector. Opting for suitable
second-hand LNG vessels is a significant and efficient strategy for managing transportation …
second-hand LNG vessels is a significant and efficient strategy for managing transportation …
Machine learning-assisted wide-gamut fluorescence visual test paper for propazine determination in fish and seawater samples
H Liu, J You, C Liu, Z Zhang, A Sun, G Hao… - Sensors and Actuators B …, 2024 - Elsevier
Molecularly imprinted polymer (MIP-QDs) with fluorescence quenching ability toward
propazine was synthesized for propazine detection. b (Blue)-MIP-QDs were prepared using …
propazine was synthesized for propazine detection. b (Blue)-MIP-QDs were prepared using …
A new strategy for short-term stock investment using bayesian approach
T Vo-Van, H Che-Ngoc, N Le-Dai… - Computational …, 2022 - Springer
In this paper, an application of the Bayesian classifier for short-term stock trend prediction is
presented. In order to use Bayesian classifier effectively, we transform the daily stock price …
presented. In order to use Bayesian classifier effectively, we transform the daily stock price …