[PDF][PDF] Deep learning based modeling of groundwater storage change

MA Haq, AK Jilani, P Prabu - CMC-Computers, Materials …, 2021 - cdn.techscience.cn
The understanding of water resource changes and a proper projection of their future
availability are necessary elements of sustainable water planning. Monitoring GWS change …

[PDF][PDF] CDLSTM: A novel model for climate change forecasting.

MA Haq - Computers, Materials & Continua, 2022 - researchgate.net
Water received in rainfall is a crucial natural resource for agriculture, the hydrological cycle,
and municipal purposes. The changing rainfall pattern is an essential aspect of assessing …

[PDF][PDF] Stock Market Forecasting with Different Input Indicators using Machine Learning and Deep Learning Techniques: A Review.

S Verma, SP Sahu, TP Sahu - Engineering Letters, 2023 - researchgate.net
Machine Learning and Deep Learning-based stock market prediction models are in trend.
Various methods and algorithms are there to deal with stock market analysis. However, an …

[PDF][PDF] The COVID-19 pandemic and stock market performance of transportation and travel services firms: a cross-country study

U Farooq, A Nasir, MF Bashir - Economic research-Ekonomska …, 2022 - hrcak.srce.hr
The COVID-19 pandemic and stock market performance of transportation and travel
services firms: a cr Page 1 Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=rero20 …

A new approach to forecasting Islamic and conventional oil and gas stock prices

MG Asl, OB Adekoya, MM Rashidi, JA Oliyide… - International Review of …, 2024 - Elsevier
In order to make more informed investment decisions, it becomes increasingly critical to
forecast stock prices. Given the abnormality of financial markets, predicting the stock market …

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 …

Multi-Cluster Graph (MCG): A Novel Clustering-based Multi-Relation Graph Neural Networks for Stock Price Forecasting

Y Ansari - IEEE Access, 2024 - ieeexplore.ieee.org
Stock price forecasting is one of the indispensable challenges, as financial markets are
increasingly becoming volatile due to the complex, noisy, dynamic, and chaotic nature of …

Predicting the stock market prices using a machine learning-based framework during crisis periods

Z Zouaghia, Z Kodia, L Ben Said - Multimedia Tools and Applications, 2024 - Springer
Stock markets are highly volatile, complex, non-linear, and stochastic. Therefore, predicting
stock market behavior is one of finance's most complex challenges. Recently, political …

Performance evaluation of stock price prediction models using EMAGRU

E Erizal, M Diqi - Applied Computer Science, 2023 - yadda.icm.edu.pl
Stock price prediction is an exciting issue and is very much needed by investors and
business people to develop their assets. The main difficulties in predicting stock prices are …

Predicting stock market by sentiment analysis and deep learning

S ÖZÖĞÜR AKYÜZ, PK Ataş… - … Research and Decisions, 2024 - cejsh.icm.edu.pl
The stock market may be unpredictable; understanding when to purchase and sell can
greatly assist businesses and individuals in maximizing profits and minimizing losses. Many …