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In this study the authors develop an app for faster chess game entry method to help chess learners improve their game. This culminated in the Augmented Reality Chess Analyzer (ARChessAnalyzer) which uses traditional image and vision techniques for chess board recognition and Convolutional Neural Networks (CNN) for chess piece recognition.

Chess engines, or computer programs built to play chess, outperform even the best human players. Kaushikan and Park investigate the inner workings of these chess engines by studying popular chess engines' evaluations of which side of a chess match is most likely to win, and how this is affected by the number of pieces and controlled squares on each side.

The authors looked at how different factors related to practicing and playing chess would impact a player's rating.

White pieces make the first move in chess games, and there are several opening strategies and consequent defense strategies that white and black pieces, respectively, can take . The author of this paper investigated whether taking a specific opening and defense strategy, as well as playing as white vs. black, can increase the chances of winning the game, by playing against various human and computer opponents.

To best identify tuberculosis and pneumonia diagnoses in chest x-rays, the authors compare different deep learning convolution neural networks.

The authors test various machine learning models to improve the accuracy and efficiency of pneumonia diagnosis from X-ray images.

The authors developed and tested machine learning methods to diagnose tuberculosis from pulmonary X-ray scans.

The authors studied the accuracy of two commonly used explainable AI techniques for detecting pneumonia in chest x-rays.

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.

This study investigated whether thiamine (vitamin B1) could mitigate the harmful effects of lead contamination on plant growth. Using garden cress (Lepidium sativum), we found that lead exposure reduced plant growth and biomass, while thiamine treatment partially alleviated these effects, improving shoot length and overall plant length. These findings highlight the potential of thiamine as a simple strategy to improve plant resilience to heavy metal stress, with implications for agricultural productivity and food security.