A Personalized Task Allocation Strategy in Mobile Crowdsensing for Minimizing Total Cost. [PDF]
Gao H, Zhao H.
europepmc +1 more source
Two‐dimensional CuInP2S6 nanosheets are incorporated into a P(VDF‐TrFE) matrix to induce polarization‐cooperative ferroelectric coupling. The resulting P(VDF‐TrFE)/CuInP2S6 hybrid film exhibits reinforced ferroelectric ordering and reduced coercive electric fields compared with pristine P(VDF‐TrFE).
Yeonsu Jeong +10 more
wiley +1 more source
A Hierarchical Framework and Marginal Return Optimization for Dynamic Task Allocation in Heterogeneous UAV Networks. [PDF]
Guo A +5 more
europepmc +1 more source
Production Task Allocation Decision Based on Cloud Robot Cell-Line. [PDF]
Du Y, Wang Y, Wang J, Zhang T.
europepmc +1 more source
Study on the Reaction Mechanism of RuOx and Its Enhanced Hydrogen Evolution Reaction Activity
In situ Raman spectroscopy and DFT calculations reveal that, prior to the onset of HER, the surface of RuOx undergoes reversible reduction and structural reconstruction. The resulting Ru(II)O/Ru(IV)O2 configuration is identified as the true catalytically active species.
Liquan Zhang +9 more
wiley +1 more source
Task allocation and coordination process in distributed agile software development: an ontology based approach. [PDF]
Nundlall C, Nagowah SD.
europepmc +1 more source
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
A novel swarm intelligence optimization method for efficient task allocation in industrial wireless sensor networks. [PDF]
Wang C, Yu F, Cao Q, Pan Y.
europepmc +1 more source
When being flexible matters: Ecological underpinnings for the evolution of collective flexibility and task allocation. [PDF]
Staps M, Tarnita CE.
europepmc +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source

