Chemistry Postdoctoral Research Station at Hebei Normal University, Hebei Technology Innovation Center for Energy Conversion Materials and Devices, Hebei Key Laboratory of Inorganic Nanomaterials, ...

Abstract: Deep learning is a subset of machine learning based on artificial neural networks in which multiple layers of processing are used to extract progressively higher-level features from data.

With the aging of the global population, the prevalence of neurodegenerative diseases is increasing and these diseases bring a huge burden to the healthcare system. However, accurately diagnostic ...

I know this question is over a year old. Just adding a response for posterity. I think the thing you're missing is the transform operator. It allows you to update (add/edit) and remove (delete) keys ...

Abstract: Edge Detection is one of the most popular techniques in image processing, where it finds the boundaries of objects in an image. Edge detection place a vital role in different areas like ...

In steel plants, estimation of the production system characteristic is highly critical to adjust the system parameters for best efficiency. Although the system parameters may be tuned very well, due ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

We introduce a new method to generate an amplified signal in CRISPR-Cas-based detection. Target recognition activates a CRISPR-Cas complex, leading to catalytic cleavage of horseradish peroxidase (HRP ...

(Nanowerk News) Transparent objects have their drawbacks: It is not without reason that we have stickers of birds’ silhouettes on big glass windows in order to protect their real-life conspecifics ...

I have to perform image processing on slice images of a voxel model (for the slices, I am using capturing screenshots in XY view and saving them as NumPy arrays) and convert those post-processed ...