针对DS (Dempster-Shafer) 证据理论中的冲突因子k 不能有效度量证据之间的冲突程度的问题,
首先提出了证据冲突强度量函数需要满足的期望特征, 然后提出了一种新的基于推土机距离的 …

Edge intelligence (EI) has received a lot of interest because it can reduce latency, increase
efficiency, and preserve privacy. More significantly, as the Internet of Things (IoT) has …

Flexible wearable electronic skin (e-skin) has great potential in health monitoring, human–
computer interaction, and other fields. However, traditional devices are often unable to …

In this study, a data-driven adaptive iterative learning Kalman consensus filtering (DD-
AILKCF) method is designed for high-speed trains to address the parameter identification …

Deep learning technology has been widely used in edge computing. However, pandemics
like covid-19 require deep learning capabilities at mobile devices (detect respiratory rate …

In recent years, with the acceleration of urbanization and the implementation of compulsory
education, the pressure on students' study and life has increased, and the phenomenon of …

In today's world, as population is at high peak and due to changing life style of people,
individuals are suffering from various chronic disease. With shift towards modern …

Traditional Chinese medicine is characterized by numerous chemical constituents, complex
components, and unpredictable interactions among constituents. Therefore, a single …

The information generated by the multifaceted and multilevel processing of the data of
multiple sensors is more meaningful than the information obtained by a single sensor and …

Satellite signals are easily lost in urban areas, which causes difficulty in vehicles being
located with high precision. Visual odometry has been increasingly applied in navigation …