Stock price prediction: Long short-term memory vs. Autoformer and time series foundation model
The authors looked the ability to predict future stock prices using various machine learning models.
Read More...Deep dive into predicting insurance premiums using machine learning
The authors looked at different factors, such as age, pre-existing conditions, and geographic region, and their ability to predict what an individual's health insurance premium would be.
Read More...The effect of calcium on mealworm iron metabolism
The authors looked at the impact of calcium on iron absorption in mealworms, hypothesizing that calcium would inhibit iron absorption.
Read More...Identifying anxiety and burnout from students facial expressions and demographics using machine learning
The authors used machine learning to predict the presence of anxiety and burnout in students based on facial expressions and demographic information.
Read More...Reinforcement learning in 2-D space with varying gravitational fields
In this study the authors looked at the ability to navigate planes in space between randomly placed planets. They used machine and reinforcement learning to run simulations and found that they were able to identify optimal paths for travel. In the future these techniques may allow for safer travel in unknown spaces.
Read More...How artificial intelligence deep learning models can be used to accurately determine lung cancers
The authors looked at the ability of different deep learning models to predict the presence of lung cancer from chest CT scans. They found that a pre-trained CNN model performed better than an autoencoder model.
Read More...Risk-adjusted return measures for selecting optimal mutual fund investment portfolios
The authors looked at different combinations of risk-adjusted return measures to determine which combination would provide an optimal return for investors. They found that different combinations performed better dependent on investment timeframe.
Read More...Class distinctions in automated domestic waste classification with a convolutional neural network
Domestic waste classification using convolutional neural network
Read More...Exploration of the density–size correlation of celestial objects on various scales
Building on previous work by earlier astronomers, the authors investigate the correlation between the density and size of celestial objects in the universe, including neutron stars, galaxies, and galaxy clusters.
Read More...Forecasting air quality index: A statistical machine learning and deep learning approach
Here the authors investigated air quality forecasting in India, comparing traditional time series models like SARIMA with deep learning models like LSTM. The research found that SARIMA models, which capture seasonal variations, outperform LSTM models in predicting Air Quality Index (AQI) levels across multiple Indian cities, supporting the hypothesis that simpler models can be more effective for this specific task.
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