Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
Data science in economics: comprehensive review of advanced machine learning and deep learning methods
This paper provides a comprehensive state-of-the-art investigation of the recent advances in
data science in emerging economic applications. The analysis is performed on the novel …
data science in emerging economic applications. The analysis is performed on the novel …
Financial time series forecasting with the deep learning ensemble model
K He, Q Yang, L Ji, J Pan, Y Zou - Mathematics, 2023 - mdpi.com
With the continuous development of financial markets worldwide to tackle rapid changes
such as climate change and global warming, there has been increasing recognition of the …
such as climate change and global warming, there has been increasing recognition of the …
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain
H Moayedi, M Salari, AA Dehrashid, BN Le - … Environmental Research and …, 2023 - Springer
In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …
that efficient and accurate optimization approaches may assist in solving the multiple …
Machine learning in business and finance: a literature review and research opportunities
This study provides a comprehensive review of machine learning (ML) applications in the
fields of business and finance. First, it introduces the most commonly used ML techniques …
fields of business and finance. First, it introduces the most commonly used ML techniques …
Employment of an electronic tongue combined with deep learning and transfer learning for discriminating the storage time of Pu-erh tea
Z Yang, N Miao, X Zhang, Q Li, Z Wang, C Li, X Sun… - Food Control, 2021 - Elsevier
Pu-erh tea is a famous Chinese fermented tea, and its quality and flavor are closely related
to the storage time used for its fermentation. This paper puts forward one method to …
to the storage time used for its fermentation. This paper puts forward one method to …
Research on the feasibility of applying GRU and attention mechanism combined with technical indicators in stock trading strategies
MC Lee - Applied Sciences, 2022 - mdpi.com
The vigorous development of Time Series Neural Network in recent years has brought many
potential possibilities to the application of financial technology. This research proposes a …
potential possibilities to the application of financial technology. This research proposes a …
Remaining Useful Life Prediction of Lithium-Ion Battery Using ICC-CNN-LSTM Methodology
C Rincón-Maya, F Guevara-Carazas… - Energies, 2023 - mdpi.com
In recent years, lithium-ion batteries have gained significant attention due to their crucial role
in various applications, such as electric vehicles and renewable energy storage. Accurate …
in various applications, such as electric vehicles and renewable energy storage. Accurate …
A deep network-based trade and trend analysis system to observe entry and exit points in the forex market
In the Forex market, trend trading, where trend traders identify trends and attempt to capture
gains through the analysis of an asset's momentum in a particular direction, is a great way to …
gains through the analysis of an asset's momentum in a particular direction, is a great way to …
Sulfur dioxide emissions in Portugal: Prediction, estimation and air quality regulation using machine learning
VM Ribeiro - Journal of Cleaner Production, 2021 - Elsevier
Latest reports of the European Environment Agency and Agência Portuguesa do Ambiente
raise a reasonable doubt on the satisfaction of 2030 targets imposed by supranational …
raise a reasonable doubt on the satisfaction of 2030 targets imposed by supranational …