AI+Science

Monitoring Method for Ship Imitation Behavior Based on XGBoost

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Monitoring Method for Ship Imitation Behavior Based on XGBoost

Previous Review Recommended Article: Complexity of Xi’an Approach Airspace Based on Aircraft and Route Network Recommended Article: Lightweight Massive Spatiotemporal Data Processing and Analysis Service Framework This article was published in “Command Information Systems and Technology”, 2022, Issue 5 Authors:Sui Yuan,Duan Ran,Bai Zheng Citation Format:Sui Yuan, Duan Ran, Bai Zheng. Monitoring Method for Ship Imitation … Read more

Anomaly Detection Method for Ship Trajectories Based on Transformer-LSTM

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Anomaly Detection Method for Ship Trajectories Based on Transformer-LSTM

In the field of maritime transportation, ensuring the safe navigation of vessels is crucial. To prevent maritime accidents, Professor Guo Jian’s team from the Information Engineering University of the People’s Liberation Army of China has developed a novel anomaly detection technology for ship trajectories based on artificial intelligence. This technology utilizes a model known as … Read more

KAN 1.0 to 2.0: Building a New Neural Network Structure

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KAN 1.0 to 2.0: Building a New Neural Network Structure

Introduction In April this year, Max Tegmark’s team released a brand new deep learning network structure called the Kolmogorov-Arnold Network (KAN), which quickly caused a sensation. First author Liu Ziming detailed the team’s latest work at the AI+Science reading club of the Jizhi Club (See: Liu Ziming’s Live Summary: The Capability Boundaries and Outstanding Problems … Read more