Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 17th EAI Internation Honghao Gao,Xinheng Wang Conference proceedings 202

Peak-Bone-Mass

設(shè)施

LAIR

patriarch

膝蓋

Recommendation Model Based on Social Homogeneity Factor and Social Influence Factora contextual multi-armed bandit to weigh the interaction between the two domains. We have conducted extensive comparative experiments and ablation experiments on two real public datasets. The experimental results show that the performance of our proposed model in the rating prediction task is better than other social recommendation model.

BILK

Multi-UAV Cooperative Exploring for?the?Unknown Indoor Environment Based on?Dynamic Target Trackings. Moreover, the method can also draw the boundary-contour map of the entire environment at last. Once extended to the real world, this method can be applied to dangerous buildings after earthquakes, hazardous gas factories, underground mines, or other search and rescue scenarios.

克制

Conference proceedings 2021andling and human recognition & Edge Computing; Edge Computing; Edge Computing & Collaborative working; Collaborative working & Deep Learning and application; Deep Learning and application; Deep Learning and application; Deep Learning and application & UVA..

成份

阻擋

南極

Failure” Service Pattern Mining for Exploratory Service Composition trial-and-error manner. A large number of service composition processes are generated, which can be learned to improve the reusability of the service composition processes. By mining these service composition processes and abstracting the mining results to service patterns, the efficiency of servic