Background Introduction Lung cancer, as one of the most prevalent and deadly malignant tumors worldwide, continues to pose many challenges in modern healthcare. According to literature statistics, the five-year survival rate for lung cancer patients is extremely low, consistently ranking it among the top three causes of cancer death globally. Due t...

Deep Learning, as a crucial branch of artificial intelligence, has achieved significant progress in recent years across various fields such as computer vision and natural language processing. However, the success of deep learning largely depends on the choice of loss functions and performance metrics. Loss functions are used to measure the differen...

A New Approach to Emotion Recognition in Conversations Based on Graph Neural Networks Research Background Emotion recognition (ER) is an important component of human-computer interaction (HCI), aiming to identify human emotional states by analyzing multimodal data such as speech, text, and video. This technology has broad application prospects in f...

Neuroscientific Research Report on “Domain-General Arousal” Academic Background Arousal is a core concept in neuroscience, referring to fluctuations in brain and body states that underpin motivated behavior. Despite the widespread use of the term “arousal,” its definition has remained ambiguous, with differing interpretations in various textbooks. ...

Efficient Implementation of RNN Activation Functions: Breakthroughs in CORDIC Algorithms and FPGA Hardware Acceleration Background and Research Significance In recent years, with the rapid advancement of deep learning technologies, Recurrent Neural Networks (RNNs), particularly Long Short-Term Memory (LSTM) networks, have demonstrated powerful capa...