Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Quadrotors are one of the popular unmanned aerial vehicles (UAVs) due to their versatility
and simple design. However, the tuning of gains for quadrotor flight controllers can be …

Recent advancement of deep learning has been elevated the multifaceted nature in various
applications of this field. Artificial neural networks are now turning into a genuinely old …

Reinforcement Learning (RL) is a branch of machine learning (ML) that is used to train
artificial intelligence (AI) systems and find the optimal solution for problems. This tutorial …

The processes involved in the metallurgical industry consume significant amounts of energy
and materials, so improving their control would result in considerable improvements in the …

The challenging field of scene text detection requires complex data annotation, which is time-
consuming and expensive. Techniques, such as weak supervision, can reduce the amount …

Deep reinforcement learning research in a single-task environment has made remarkable
achievements. However, it is often plagued by catastrophic forgetting, prohibitively low …

In the previous paper, diverse data acquisition methods based on data types for condition
monitoring wind turbines is explored. The present study investigates advanced signal …

区域金融风险防控(RFRP) 无论在管理区域传统金融风险(TFR) 还是坚守不发生区域金融系统
风险(FSR) 中都是不可或缺的. 随着大数据规模的持续增长, 金融风险形态变化的不确定性 …

Maintaining product and machine safety while lowering maintenance costs has recently
become a serious concern. Predictive maintenance (PdM) is one of the important strategies …