A conceptual model of investment-risk prediction in the stock market using extreme value theory with machine learning: a semisystematic literature review
The COVID-19 pandemic has been an extraordinary event, the type of event that rarely
occurs but that has major impacts on the stock market. The pandemic has created high …
occurs but that has major impacts on the stock market. The pandemic has created high …
[HTML][HTML] Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids
Electrical power grid insulators installed outdoors are exposed to environmental conditions,
such as the accumulation of contaminants on their surface. The contaminants increase the …
such as the accumulation of contaminants on their surface. The contaminants increase the …
Forecasting stock market indices using the recurrent neural network based hybrid models: CNN-LSTM, GRU-CNN, and ensemble models
H Song, H Choi - Applied Sciences, 2023 - mdpi.com
Various deep learning techniques have recently been developed in many fields due to the
rapid advancement of technology and computing power. These techniques have been …
rapid advancement of technology and computing power. These techniques have been …
[HTML][HTML] Stock price prediction using the Sand Cat Swarm Optimization and an improved deep Long Short Term Memory network
B Gülmez - Borsa Istanbul Review, 2024 - Elsevier
Stock price prediction remains a complex challenge in financial markets. This study
introduces a novel Long Short-Term Memory (LSTM) model optimized by Sand Cat Swarm …
introduces a novel Long Short-Term Memory (LSTM) model optimized by Sand Cat Swarm …
Application of Empirical Mode Decomposition and Hodrick Prescot filter for the prediction single step and multistep significant wave height with LSTM
V Domala, T Kim - Ocean Engineering, 2023 - Elsevier
The study discusses the application of the Empirical Model Decomposition (EMD) and
Hodrick Prescot (HP) filter for significant wave height prediction. Long Short-Term Memory …
Hodrick Prescot (HP) filter for significant wave height prediction. Long Short-Term Memory …
[PDF][PDF] Stock Market Prediction Using Generative Adversarial Networks (GANs): Hybrid Intelligent Model.
The key indication of a nation's economic development and strength is the stock market.
Inflation and economic expansion affect the volatility of the stock market. Given the multitude …
Inflation and economic expansion affect the volatility of the stock market. Given the multitude …
Federated learning-based joint radar-communication mmWave beamtracking with imperfect CSI for V2X communications
S Bhardwaj, DS Kim - 2023 Fourteenth International …, 2023 - ieeexplore.ieee.org
Robust beamforming is used to ensure communication quality, particularly for vehicle-to-
everything (V2X) communications. Moreover, millimeter waves (mmWaves) are used in a …
everything (V2X) communications. Moreover, millimeter waves (mmWaves) are used in a …
[PDF][PDF] Forecasting stock prices using a novel filtering-combination technique: Application to the Pakistan stock exchange
Forecasting stock prices using a novel filtering-combination technique: Application to the
Pakistan stock exchange Page 1 http://www.aimspress.com/journal/Math AIMS Mathematics, 9(2) …
Pakistan stock exchange Page 1 http://www.aimspress.com/journal/Math AIMS Mathematics, 9(2) …
Water quality ensemble prediction model for the urban water reservoir based on the hybrid long short-term memory (LSTM) network analysis
The water quality of drinking water reservoirs directly impacts the water supply safety for
urban residents. This study focuses on the Da Jing Shan Reservoir, a crucial drinking water …
urban residents. This study focuses on the Da Jing Shan Reservoir, a crucial drinking water …
A study of hybrid deep learning model for stock asset management
Y Huo, M Jin, S You - PeerJ Computer Science, 2024 - peerj.com
Crafting a lucrative stock trading strategy is pivotal in the realm of investments. However, the
task of devising such a strategy becomes challenging task the intricate and ever-changing …
task of devising such a strategy becomes challenging task the intricate and ever-changing …