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 ...

The merit of evolutionary algorithms (EA) to solve convex optimization problems is widely acknowledged. In this paper, a genetic algorithm (GA) optimization based waveform design framework is used to ...

Pramad, K. (2013) Phase Only Pattern Synthesis for Antenna Array using Genetic Algorithms for Radar Applications. Indian Journal of Radio and Space Physics, 42, 259-264.

This paper proposes a Random Forest grid fault prediction model based on Genetic Algorithm optimization (GA-RF) to classify the grid fault types, which improves the distribution network fault ...

Genetic algorithms evaluate potential solutions by evolving them over many generations and keeping the ones which work best each time.

By generating a promising initial population and constructing a tailored fragment library, our method enables a targeted initialization of the genetic algorithm, referred to as warm-start. The ...

Engineers have developed a new signal analysis technology that enhances radar range resolution and is applicable to various radar systems.

We present an artificial intelligence-guided approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs a genetic algorithm (GA) that ...

Real-time optimization of the waveform is achieved using a genetic algorithm that leverages CFAR evaluations to refine the jamming approach. The robustness against varying radar emissions and ...