Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis
SMB Shahabi‐Haghighi, H Hamidifar - Hydrological Processes, 2023 - Wiley Online Library
Effective drought monitoring is of paramount importance in hydrology. It aids in mitigating the
detrimental effects of water scarcity, facilitates sustainable resource management, and …
detrimental effects of water scarcity, facilitates sustainable resource management, and …
Deep learning and stock market trends: an experiment with food companies in Morocco
I Ouaadi, A Ibourk - International Conference on Artificial Intelligence & …, 2023 - Springer
In this work, we attempt to introduce recurrent neural network techniques that can be used
as a way to address climate change issues and their impact on the stock market. Through …
as a way to address climate change issues and their impact on the stock market. Through …
Can LSTM Model Predict the Moroccan GDP Growth Using Health Expenditure Features?
I Ouaadi, A Ibourk - … Conference on Emerging Technologies and Intelligent …, 2022 - Springer
In this work we attempt to introduce recurrent neural network algorithms that can be used as
means to treat healthcare expenditures and their impact on economic growth, and through …
means to treat healthcare expenditures and their impact on economic growth, and through …
Machine Learning Algorithms and the Prediction of the Direction of Movement of Moroccan Agribusiness Stock
I Ouaadi, A Ibourk - The Proceedings of the International Conference on …, 2022 - Springer
In this paper, we attempt to introduce machine learning algorithms that can be used as a
way to address climate change issues and their impact on the stock market, and through …
way to address climate change issues and their impact on the stock market, and through …
Comparative Analysis of ARIMA, VAR, and Linear Regression Models for UAE GDP Forecasting
PJ McCloskey, R Malheiros Remor - 2024 - mpra.ub.uni-muenchen.de
Forecasting GDP is crucial for economic planning and policymaking. This study compares
the performance of three widely-used econometric models—ARIMA, VAR, and Linear …
the performance of three widely-used econometric models—ARIMA, VAR, and Linear …
Machine Learning Algorithms and the Prediction of the Direction of Movement of Moroccan Agribusiness Stock
V Mohammed - Innovations in Smart Cities Applications Volume 6 …, 2023 - books.google.com
In this paper, we attempt to introduce machine learning algorithms that can be used as a
way to address climate change issues and their impact on the stock market, and through …
way to address climate change issues and their impact on the stock market, and through …
Analysis and Forecasting of GDP Using the ARIMA Model
Y Ma - Information Systems and Economics, 2024 - clausiuspress.com
Gross domestic product (GDP) is an important indicator to measure the development of the
national economy, which is important for promoting economic growth and assisting relevant …
national economy, which is important for promoting economic growth and assisting relevant …