Sports Department of Zhejiang A & F University, Hangzhou, Zhejiang, China Introduction: In recent years, with advancements in wearable devices and biosignal analysis technologies, sports performance analysis has become an increasingly popular research field, particularly due to the growing demand for real-time monitoring of athletes’ conditions in sports training and competitive events. Traditional methods of sports performance analysis typically rely on video data or sensor data for motion recognition.

Department of Information Engineering, Shanghai Maritime University, Shanghai, China Introduction: RGB-T Salient Object Detection (SOD) aims to accurately segment salient regions in both visible light and thermal infrared images. However, many existing methods overlook the critical complementarity between these modalities, which can enhance detection accuracy. Methods: We propose the Edge-Guided Feature Fusion Network (EGFF-Net), which consists of cross-modal feature extraction, edge-guided feature

Department of Fine Arts, Bozhou University, Bozhou, Anhui, China Introduction: Segmentation tasks in computer vision play a crucial role in various applications, ranging from object detection to medical imaging and cultural heritage preservation. Traditional approaches, including convolutional neural networks (CNNs) and standard transformer-based models, have achieved significant success; however, they often face challenges in capturing fine-grained details and maintaining efficiency across diverse

1 Huzhou Key Laboratory of Green Energy Materials and Battery Cascade Utilization, School of Intelligent Manufacturing, Huzhou College, Huzhou, China 2 State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation. They are easy to use and do not require surgery, particularly in the area of motor imagery electroencephalography (EEG). However, motor imagery

1 BYD Company Limited, Shenzhen, China 2 School of Statistics, Renmin University of China, Beijing, China 3 School of Computer Science and Technology, Xinjiang University, Urumqi, China The user perception of mobile game is crucial for improving user experience and thus enhancing game profitability. The sparse data captured in the game can lead to sporadic performance of the model. This paper proposes a new method, the balanced graph factorization machine (BGFM), based on existing algorithms, considering

1 VisLab, Department of Electrical and Computer Engineering, Institute for Systems and Robotics (ISR-Lisboa), Instituto Superior T é cnico, Lisbon, Portugal 2 LaSEEB, Department of Bioengineering, Institute for Systems and Robotics (ISR-Lisboa), Instituto Superior T é cnico, Lisbon, Portugal As robots become integral to various sectors, improving human-robot collaboration is crucial, pa rticularly in anticipating human actions to enhance safety and efficiency. Electroencephalographic (EEG) signals offer

1 Fanli Business School, Nanyang Institute of Technology, Nanyang, Henan, China 2 Hospitality Management Department, Tourism College of Zhejiang, Hangzhou, Zhejiang, China Introduction: With the rapid development of the tourism industry, the demand for accurate and personalized travel route recommendations has significantly increased. However, traditional methods often fail to effectively integrate visual and sequential information, leading to recommendations that are both less accurate and less personaliz

In recent years, with the rapid development of artificial intelligence technology, the field of music education has begun to explore new teaching models. Tra…