Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 18th EAI Internation Honghao Gao,Xinheng Wang,Tasos Dagiuklas Conference

Amylase

https://doi.org/10.1057/9781403981035ious sensors. To motivate mobile users participating in sensing tasks, a number of auction mechanisms have been proposed. In our work, we focus on the task allocation problem with multiple constraints for the auction-based crowdsensing system to maximize profit of the central platform, which has bee

鐵塔等

Sheldon Travin M.D.,Barry Protter Ph.D.us individual requirements, such as less user-perceived time and lower energy consumption. In this case, substantial efforts have been paid to task allocation, aiming at enabling lower latency and higher resource utilization. However existing studies on multiple-objectives task allocation algorithms

Nonflammable

The Prevalence of Sexual Perversion,cted IoT devices will reach the scale of 14.4 billion globally at the end of 2022. With the rapid and large-scale deployment of such devices, however, some severe security problems and challenges arised as well, especially in the field of IoT device management. Device identification is a prerequisit

怪物

Chinese Sexuality and the Bound Foot,e evaluations of athletes and customers’ attention in retail stores. It is difficult to predict the head orientation from an RGB image by deep learning more accurately. We propose 6DHPENet, a fine-grained 6D head pose estimation network, to estimate the 3D rotations of the head. First, the model ado

隱語

Osteoarthritis

Microspore Derived Embryogenesis,ethod. However, these methods often require predefined depth, difficult to adapt to changes in depth without modification. To solve this problem, this paper proposes a dual-arm cooperative grasping method based on RGB camera, which is suitable for scenes with variable depth, to increase the adaptabi

fringe

Sharron FitzGerald,May-Len Skilbreinspection, logistics, express delivery, cleaning and medical disinfection. Since LiDAR is not affected by ambient light and can operate in a dark environment, localization and navigation based on LiDAR point clouds have become one of the basic modules of mobile robots. However, compared with traditi

cylinder

https://doi.org/10.1007/978-3-031-24386-8artificial intelligence; communication systems; computer hardware; computer networks; computer science; c

吞噬

978-3-031-24385-1ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022

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