Fundamental analysis involves gathering and understanding a wide variety of information, like financial numbers, company earnings, industry trends, government filings, global events, and public ...

We're a long way from having extensive powers of crime prediction, but that's not to say that it makes no sense to consider ...

Abstract: In this article, an energy-efficient autonomous driving framework combining adaptive soft actor-critic (ASAC) evaluation reinforcement learning (RL), and model predictive control (MPC) ...

A Comprehensive Analysis on Enhancing Multi-Objective Evolutionary Algorithms Using Chaotic Dynamics and Dominant Relationship-Based Search Strategies Abstract: In optimization and decision-making, ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...