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The authors compare current machine learning algorithms with a new Explainable AI algorithm that produces a human-comprehensible decision tree alongside predictions.

Investigation of the largest rigid shape that can be moved through a circular hallway of unit width with an arbitrary turn angle

Using machine learning to predict the risk of algae bloom

Impact of carbon tax and dividend on financial security

In this study the authors looked at the ability of the Discrete Fourier Transform (DFT) to analyze different musical elements. They found that DFT is a powerful method to analyze recorded music.

Domestic waste classification using convolutional neural network

Predicting antibody structures and antibody-antigen complexes using AlphaFold

This study used an improved CMS-seq method to profile 5hmC in ormalin-fixed and paraffin-embedded (FFPE) samples from HNC tumors and adjacent normal tissues, identifying three genes (PRKD2, HADHA, and AIPL1) with promising potential as biomarkers for Head and neck cancer (HNC) diagnosis.

Utilization of neural network to analyze Free Word Association to predict accurately age, gender, first language, and current country.

This study examines how anchoring—providing numerical suggestions like "2 for $4"—can influence consumer purchasing decisions and increase revenue. The researchers tested three types of price anchors on 29 high school students shopping in a mock store.