Deep reinforcement learning for the agile earth observation satellite scheduling problem
The agile earth observation satellite scheduling problem (AEOSSP) is a combinatorial
optimization problem with time-dependent constraints. Recently, many construction …
optimization problem with time-dependent constraints. Recently, many construction …
Planning approach for integrating charging stations and renewable energy sources in low-carbon logistics delivery
To achieve green and low-carbon development in the logistics industry, logistics operators
are promoting the electrification of logistics fleets, which imposes requirements for well …
are promoting the electrification of logistics fleets, which imposes requirements for well …
A survey on applications of reinforcement learning in spatial resource allocation
The challenge of spatial resource allocation is pervasive across various domains such as
transportation, industry, and daily life. As the scale of real-world issues continues to expand …
transportation, industry, and daily life. As the scale of real-world issues continues to expand …
Prediction of Hippocampal Signals in Mice Using a Deep Learning Approach for Neurohybrid Technology Applications
The increasing growth in knowledge about the functioning of the nervous system of
mammals and humans, as well as the significant neuromorphic technology developments in …
mammals and humans, as well as the significant neuromorphic technology developments in …