Optimizing thermoelectric energy harvesting using deep reinforcement learning for dynamic energy management and system efficiency. [PDF]
Chaudhari CN +6 more
europepmc +1 more source
Multi-actor Engagement and Co-development
Report analysing multi-actor engagement and co-development in the B-GOOD project, documenting the components that engendered the B-GOOD learning and innovation system and its ability to deliver beneficial outcomes.
openaire +1 more source
Guided by the golden ratio, a class of aperiodic architected metamaterials is introduced to address the intrinsic trade‐off between strength and toughness. By unifying local geometric heterogeneity with global order, the golden‐ratio‐guided aperiodic architecture promotes spatial delocalization of damage tolerence regions, leading to more tortuous ...
Junjie Deng +9 more
wiley +1 more source
AoI-Aware Data Collection in Heterogeneous UAV-Assisted WSNs: Strong-Agent Coordinated Coverage and Vicsek-Driven Weak-Swarm Control. [PDF]
Huang L, Li L, Zhao S, Qu D, Xu J.
europepmc +1 more source
Methodology to generate landscape configurations for use in multi-actor plan-making processes [PDF]
Bregt, A.K. +3 more
core +1 more source
COGEniX: an industrial informatics framework for cognitive energy forecasting and carbon-aware scheduling in smart zones. [PDF]
Al Mazroa A.
europepmc +1 more source
Task Offloading and Resource Allocation for ICVs in Vehicular Edge Computing Networks Based on Hybrid Hierarchical Deep Reinforcement Learning. [PDF]
Liu J, Zou Y, Du G, Zhang X, Wu J.
europepmc +1 more source
Multi-actor collaboration in value chains: An avenue to innovation? [PDF]
Akello, B. +10 more
core
GAPO: A Graph Attention-Based Reinforcement Learning Algorithm for Congestion-Aware Task Offloading in Multi-Hop Vehicular Edge Computing. [PDF]
Zhao H, Li X, Li C, Yao L.
europepmc +1 more source
Multi-Agent DDPG-Based Multi-Device Charging Scheduling for IIoT Smart Grids. [PDF]
Zeng H +5 more
europepmc +1 more source

