Abstract: As a representative deep learning network, convolutional neural network (CNN) has been widely used in bearing fault diagnosis and achieved many good results. The input images of CNN are ...

This study reports a valuable method to predict the capacity of a candidate probiotic bacterium to metabolically outcompete a bacterial pathogen in the ecological niche of the murine respiratory tract ...

In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them successful.

BioRender helps scientists draw biological diagrams more easily and communicate more efficiently. It’s used by half a million ...

Euler and Venn diagrams are used to visualise the relationships between sets. Both typically employ circles to represent sets, and areas where two circles overlap represent subsets common to both ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Over the past decades, many research teams worldwide have started working on electronic fibers. These are yarn-like components with electronic properties that can be weaved or assembled to create new ...

Abstract: Long Short-Term Memory (LSTM) and its variants have been widely adopted in many sequential learning tasks, such as speech recognition and machine translation. The low-latency and ...

GFXDraw is a powerful and easy-to-use GUI library for Arduino. It offers simple elements, powerful path-based vector drawings, ready to use widgets and visual effects. The library is made especially ...