Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Abstract: Genetic algorithm is a commonly used bio-heuristic optimization algorithm in machine learning, with inherent hidden parallelism and good global optimization capability. In this paper, ...

In this tutorial, we will guide you through building an advanced financial data reporting tool on Google Colab by combining multiple Python libraries. You’ll learn how to scrape live financial data ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...

This study proposes a genetic algorithm-based feature point resampling module to address uneven feature distribution in SLAM. Integrated with ORB-SLAM2, GeneA-SLAM optimizes RMSE of APE/RPE by up to ...

Abstract: In the present paper, a trading strategy based on pattern recognition is optimized by means of a genetic algorithm. The genetic algorithm is used to determine decisions of buy/sell based on ...

An investigation of genetic algorithms was conducted varying the population size, probability of mutation, probability of random selection, percentage retained, fitness functions, and selection ...

Collagen is the most abundant structural protein in humans and as such, is often used in biomedical applications for tissue repair and regeneration. Designing de novo collagen to maintain its ...