Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Multiple mobile robot task and motion planning: A survey
With recent advances in mobile robotics, autonomous systems, and artificial intelligence,
there is a growing expectation that robots are able to solve complex problems. Many of …
there is a growing expectation that robots are able to solve complex problems. Many of …
A review of machine scheduling: Complexity, algorithms and approximability
The scheduling of computer and manufacturing systems has been the subject of extensive
research for over forty years. In addition to computers and manufacturing, scheduling theory …
research for over forty years. In addition to computers and manufacturing, scheduling theory …
Edge-assisted multi-layer offloading optimization of LEO satellite-terrestrial integrated networks
Sixth-Generation (6G) technologies will revolutionize the wireless ecosystem by enabling
the delivery of futuristic services through satellite-terrestrial integrated networks (STINs). As …
the delivery of futuristic services through satellite-terrestrial integrated networks (STINs). As …
Joint load balancing and offloading in vehicular edge computing and networks
The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …
it quite a challenge for vehicles to be able to provide the required level of computation …
Service placement and request scheduling for data-intensive applications in edge clouds
Mobile edge computing provides the opportunity for wireless users to exploit the power of
cloud computing without a large communication delay. To serve data-intensive applications …
cloud computing without a large communication delay. To serve data-intensive applications …
Joint computation offloading and user association in multi-task mobile edge computing
Computation intensive and delay-sensitive applications impose severe requirements on
mobile devices of providing required computation capacity and ensuring latency. Mobile …
mobile devices of providing required computation capacity and ensuring latency. Mobile …
Fair algorithms for clustering
We study the problem of finding low-cost {\em fair clusterings} in data where each data point
may belong to many protected groups. Our work significantly generalizes the seminal work …
may belong to many protected groups. Our work significantly generalizes the seminal work …
Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …
Online scheduling via learned weights
Online algorithms are a hallmark of worst case optimization under uncertainty. On the other
hand, in practice, the input is often far from worst case, and has some predictable …
hand, in practice, the input is often far from worst case, and has some predictable …
D2D fogging: An energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration
In this paper, we propose device-to-device (D2D) Fogging, a novel mobile task offloading
framework based on network-assisted D2D collaboration, where mobile users can …
framework based on network-assisted D2D collaboration, where mobile users can …