AIMC Topic: Forecasting

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Artificial intelligence-based forecasting model for incinerator in sulfur recovery units to predict SO emissions.

Environmental research Feb 5, 2024
Pollutant emissions from chemical plants are a major concern in the context of environmental safety. A reliable emission forecasting model can provide important information for optimizing the process and improving the environmental performance. In th...
Models, Theoretical Environmental Monitoring Machine Learning Forecasting Incineration Sulfur Dioxide Air Pollutants Sulfur Neural Networks, Computer Artificial Intelligence
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Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2024
We introduce the Discrete-Temporal Sobolev Network (DTSN), a neural network loss function that assists dynamical system forecasting by minimizing variational differences between the network output and the training data via a temporal Sobolev norm. Th...
Forecasting Neural Networks, Computer Learning Algorithms
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A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China.

Journal of environmental management Jan 23, 2024
Accurately predicting carbon trading prices using deep learning models can help enterprises understand the operational mechanisms and regulations of the carbon market. This is crucial for expanding the industries covered by the carbon market and ensu...
Deep Learning China Forecasting Carbon Reproducibility of Results Industry
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Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016.

BMC women's health Jan 23, 2024
BACKGROUND: An unintended pregnancy is a pregnancy that is either unwanted or mistimed, such as when it occurs earlier than desired. It is one of the most important issues the public health system is currently facing, and it comes at a significant co...
Pregnancy, Unplanned Pregnancy Female Ethiopia Black People Humans Machine Learning Forecasting
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An enhanced drought forecasting in coastal arid regions using deep learning approach with evaporation index.

Environmental research Jan 10, 2024
Coastal arid regions are similar to deserts, where it receives significantly less rainfall, less than 10 cm. Perhaps the world's worst natural disaster, coastal area droughts, can only be detected using reliable monitoring systems. Creating a reliabl...
Forecasting Temperature Machine Learning Deep Learning Droughts
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Forecasting stock prices changes using long-short term memory neural network with symbolic genetic programming.

Scientific reports Jan 3, 2024
This study introduces an augmented Long-Short Term Memory (LSTM) neural network architecture, integrating Symbolic Genetic Programming (SGP), with the objective of forecasting cross-sectional price returns across a comprehensive dataset comprising 45...
Humans Neural Networks, Computer Forecasting Cross-Sectional Studies
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Forecasting emergent risks in advanced AI systems: an analysis of a future road transport management system.

Ergonomics Jan 2, 2024
Artificial Intelligence (AI) is being increasingly implemented within road transport systems worldwide. Next generation of AI, Artificial General Intelligence (AGI) is imminent, and is anticipated to be more powerful than current AI. AGI systems will...
Artificial Intelligence Humans Technology Forecasting
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Meteorological factors cannot be ignored in machine learning-based methods for predicting dengue, a systematic review.

International journal of biometeorology Dec 27, 2023
In recent years, there has been a rapid increase in the application of machine learning methods about predicting the incidence of dengue fever. However, the predictive factors and models employed in different studies vary greatly. Hence, we conducted...
Meteorological Concepts Humans Machine Learning Incidence Forecasting Dengue
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Prediction of early-onset colorectal cancer mortality rates in the United States using machine learning.

Cancer medicine Dec 27, 2023
INTRODUCTION: The current study, focusing on a significant US (United States) colorectal cancer (CRC) burden, employs machine learning for predicting future rates among young population.
Humans Middle Aged United States Female Colorectal Neoplasms Age of Onset Adult Machine Learning Young Adult Male Forecasting
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The rise of artificial intelligence and the future of scientific publication.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Dec 18, 2023
Humans Artificial Intelligence Forecasting
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