Stock market prediction via deep learning techniques: A survey

J Zou, Q Zhao, Y Jiao, H Cao, Y Liu, Q Yan… - arXiv preprint arXiv …, 2022 - arxiv.org
Existing surveys on stock market prediction often focus on traditional machine learning
methods instead of deep learning methods. This motivates us to provide a structured and …

A comprehensive review of machine learning for financial market prediction methods

RM Dhokane, OP Sharma - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Financial market prediction is an important task for placing an investor's hard-earned money
in the financial market to earn profit. Many parameters affect the financial market's valuation …

A sustainable deep learning based computationally intelligent seafood monitoring system for fish species screening

J Rasheed - … International conference on artificial intelligence of …, 2021 - ieeexplore.ieee.org
Seafood being one of the major source of omega-3 fatty acid, is widely consumed around
the world, thus at the same time affects baby-growth due to high mercury. Therefore, an …

Stock prediction based on twitter sentiment extraction using BiLSTM-attention

DH Fudholi, RAN Nayoan… - Indonesian Journal of …, 2022 - section.iaesonline.com
A profitable stock price prediction will yield a large profit. According to behavioural
economics, other people's emotions and viewpoints have a significant impact on business …

LSTM and Prophet Model Fusion Framework for Bitcoin Candlestick Visualization and Price Prediction Forecasting

S Periketi, R Kulkarni… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Bitcoin is a decentralized digital currency that has climbed substantially in recent years,
reflecting the fact about the amount of rise in its price. Even though investors and traders pay …

Bitcoin cryptocurrency price prediction using long short-term memory recurrent neural network

AB Wardak, J Rasheed - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Due to its growing popularity and commercial acceptance, cryptocurrency is playing an
increasingly essential role in altering the financial system. While many people are investing …

Hybrid Machine Learning Model for Predicting NASDAQ Composite Index

Z Zouaghia, ZK Aouina, LB Said - … International Symposium on …, 2023 - ieeexplore.ieee.org
Financial markets are dynamic and open systems. They are subject to the influence of
environmental changes. For this reason, predicting stock market prices is a difficult task for …

[HTML][HTML] Quantitative Stock Selection Model Using Graph Learning and a Spatial–Temporal Encoder

T Cao, X Wan, H Wang, X Yu, L Xu - Journal of Theoretical and Applied …, 2024 - mdpi.com
In the rapidly evolving domain of finance, quantitative stock selection strategies have gained
prominence, driven by the pursuit of maximizing returns while mitigating risks through …

Composition of Feature Selection for Time-Series Prediction with Deep Learning

R Kumar - Procedia Computer Science, 2024 - Elsevier
The concept of predictions has gained much attention over the last few years. Research on
prediction based on experience is error-prone. Usually, a lot of data has been available with …

[PDF][PDF] A machine learning-based intrusion detection of DDoS attack on IoT devices

S Mohammed - Int. J, 2021 - academia.edu
DDoS attack aims to prevent legitimate users from getting access to a targeted system
service by exhausting the resources, bandwidth and so on. Though, there are different …