Machine learning in economics and finance

P Gogas, T Papadimitriou - Computational Economics, 2021 - Springer
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” …

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 …

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 …

The selection of appropriate Ro-Ro Vessel in the second-hand market using the WASPAS'Bonferroni approach in type 2 neutrosophic fuzzy environment

ÖF Görçün, D Pamucar, R Krishankumar… - … applications of artificial …, 2023 - Elsevier
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 …

Newbuilding ship price forecasting by parsimonious intelligent model search engine

R Gao, J Liu, Q Zhou, O Duru, KF Yuen - Expert Systems with Applications, 2022 - Elsevier
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 …

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 …

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 …

Evaluation of the second-hand LNG tanker vessels using fuzzy MCGDM approach based on the Interval type-2 fuzzy ARAS (IT2F–ARAS) technique

ÖF Görçün, P Kundu, H Küçükönder, S Senthil - Ocean Engineering, 2024 - Elsevier
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 …

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 …

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 …