I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. Most scientific algorithms live in MATLAB - image processing and analysis, machine learning ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...

Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact ...

The November 2024 core update took three weeks to complete. With the update complete, now is the time to analyze traffic changes. Recovery from ranking drops can take several months with no guaranteed ...