embeddings

Method for Recognizing the Characteristic Elements of Protein Secondary Structure From the Llm of Its Amino Acid Sequence

The spatial structure of a protein determines its biochemical properties and, consequently, its function. The same applies to elements of secondary structure, which adopt shapes of helices, coiled coils, strands, sheets and other formations in three-dimensional space. Automatic detection of such formations based on their corresponding amino acid sequences in the protein will enable the cataloging of these sequence fragments, examining and systematizing their correspondence to spatial protein formations.

FACE RECOGNITION METHODS IN VIDEO SURVEILLANCE SYSTEMS USING MACHINE LEARNING

The article is dedicated to the investigation of face identification methods and aims to determine the most suitable one for a security system based on facial recognition from surveillance cameras. The time costs of these methods and their robustness against geometric scale distortions and rotations in various planes have been analyzed. Custom datasets have been generated for experimentation purposes.