LSTM + Attention Mechanism is very useful for improving the prediction accuracy of models when processing long sequence data, making it a powerful tool! For example, the MALS-Net model combines these two elements, achieving a significant accuracy improvement of 47.7% in predictions. The main advantage lies in LSTM’s ability to learn long-term dependencies, making it … Read more
In today’s fast-developing information technology landscape, neural network technology is applied across various industries, playing a crucial role in various predictions in public transport, mainly in vehicle travel time prediction, passenger flow prediction, and comprehensive evaluation prediction of public transport. This enables accurate predictions in public transport and enhances the management level of public transport … Read more
K-Nearest Neighbor (KNN) classification algorithm is a theoretically mature method and one of the simplest machine learning algorithms. The idea behind this method is: in the feature space, if the majority of the k nearest samples (i.e., the closest samples in the feature space) around a sample belong to a certain category, then that sample … Read more
Recently, Huawei Wireless CTO Dr. Tong Wen delivered a report at the Abu Dhabi 6G summit, explaining the design and evolution of the 6G core network. The 6G public account (ID: sixgmobile) learned that Dr. Tong proposed considering reconstructing the 6G core based on Agentic-AI technology. He introduced the 6G core network called A-Core based … Read more
XGBoost: A Super Useful Python Library! XGBoost is quite renowned in the machine learning community! It’s particularly useful for data mining and predictions. Why? Because it’s accurate! And it’s fast! Today, I’ll chat with you about XGBoost, ensuring you understand it right away! What is XGBoost? XGBoost, short for Extreme Gradient Boosting, sounds quite mysterious, … Read more
Continuous casting is an important link in steel production, and its process parameters directly affect the quality of the casting and the economic benefits of enterprises. However, the continuous casting production involves complex nonlinear heat transfer and mass transfer processes, and traditional numerical simulation and laboratory testing optimization methods are inefficient and difficult to meet … Read more
