Abstract.With increasing traffic demand and growing environmental complexity, traditional signal control methods struggle with low efficiency and poor adaptability. This study proposes a reinforcement learning-based framework integrating edge computing and intelligent reflecting surfaces (IRS) to enhance traffic signal control. The framework is validated through simulation and optimized via an improved Proximal Policy Optimization (PPO) algorithm with multi-step returns and entropy-based adaptive regularization, ensuring better convergence and stability. Experiments on a 5×5 intersection network in … Read more →

Abstract.Colon polyps are one of the common intestinal lesions in clinical practice and also the most typical type of precancerous lesions for colorectal cancer. Accurate segmentation is crucial for computer-aided diagnosis systems. Deep learning methods based on convolutional neural networks (CNNs) have been applied to the automatic segmentation of colorectal polyps, but they still face challenges such as inter-polyp differences, intra-polyp variations, and changes in imaging environments. These issues make it difficult to meet the clinical requirements for segmentation accuracy. Therefore, … Read more →

Abstract.Facial Expression Recognition (FER) is a key technology in fields such as human-computer interaction and mental health assessment. However, its performance is constrained by the subtleties and dynamics of expressions, as well as the complexity arising from individual differences and environmental variations. To overcome the limitations of traditional Convolutional Neural Networks (CNNs), such as their restricted receptive fields, and the high computational complexity of Transformers, this paper proposes a Multiscale Enhanced Visual State Space Model (MS-VSSM) based on the Visual State Space … Read more →

Abstract.In response to the problems of insufficient physiological adaptation and complex cognitive operations in current intelligent interactive products, covering common categories such as smart bracelets, car navigation, and smart home terminals, this article takes a dual perspective of ergonomics (physiological adaptation) and user experience (psychological perception) - the former focuses on the physiological laws of the human body, while the latter pays attention to the psychological needs of users. The two complement each other to solve the shortcomings of a single perspective design. Combining … Read more →

Abstract.Globally, the computer game industry has a history of over three decades. After more than three decades of rapid development, the computer game industry has become one of the entertainment industries that are on par with film and television, music, and others. The emergence of the Internet has provided another fascinating carrier and tool for computer games, injecting fresh blood into the further development of the entire industry. In particular, online games, as an emerging industry, have developed rapidly in recent years. Online games, with their features such as real-time interaction, have … Read more →