Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

During the process of determining the arrival directions and beam conformation at the antennas, different types of algorithms can be used, namely deterministic algorithms and heuristics. Genetic ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

An Optimizing Diffusion Kernel-Based Binary Encoding Strategy With Genetic Algorithm for Fringe Projection Profilometry ...

Riding the wave to memory-forming genetics Study identifies the key genes in the brain involved in encoding memories Date: March 10, 2021 Source: UT Southwestern Medical Center Summary: Scientists ...

Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

Based on binary encoding and dynamic parameter encoding methods, taking advantages of the binary logical operation characteristic of computer, a dynamic byte encoding genetic algorithm (DBE-GA) is ...