Results 101 to 110 of about 10,524 (182)
A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement. [PDF]
Hassani S, Dackermann U.
europepmc +1 more source
A novel method for generating public keys involving matrix operations. [PDF]
Sun X, Han J, Lv B, Sun C, Zeng C.
europepmc +1 more source
Visual thinking and simplicity of proof. [PDF]
Cain AJ.
europepmc +1 more source
Utility of local capillary supply indices: Insights from computational image‐based modelling
Abstract figure legend Local capillary distribution and fibre geometry influence oxygen availability in skeletal muscle. Image‐based modelling of tissue PO2${{P}_{{{{\mathrm{O}}}_2}}}$ shows that area‐based measures of capillary supply – the local capillary density (LCDi) and local maximum diffusion distance (Dmax,i) – most accurately represent the ...
Abdullah A. Al‐Shammari +6 more
wiley +1 more source
Solving Max-Cut Problem Using Spiking Boltzmann Machine Based on Neuromorphic Hardware with Phase Change Memory. [PDF]
Kang YG +12 more
europepmc +1 more source
How to have more things by forgetting how to count them†. [PDF]
Karagila A, Schlicht P.
europepmc +1 more source
Abstract This paper introduces a novel heuristic method, the smart selective navigator (SSN), for addressing arc routing problems (ARPs) with a focus on integrating hard turn restrictions in urban winter operations. Addressing a significant gap in existing ARP methodologies, SSN seamlessly incorporates common side constraints, such as vehicle ...
Farhad Baghyari, Jaho Seo
wiley +1 more source
Integrated routing of heavy electrical and diesel trucks in forest transports
Abstract Fossil‐free forestry transports are important to reach climate goals. In Sweden, road transports account for around 50% of the industry's CO2 emissions and almost 20% of the road freight volumes. Previous studies have shown that electrification is a cost‐effective way for carbon abatement, while at the same time the requirements for ...
Mikael Rönnqvist +4 more
wiley +1 more source
Abstract This paper presents a two‐stage model for planning a renewable energy portfolio by balancing economic, social and environmental sustainability goals. The first stage addresses a multi‐objective problem where conflictive impacts generated by the energy portfolios should be optimised according to the corresponding economic, social or ...
Amelia Bilbao‐Terol +2 more
wiley +1 more source
Graph‐based imitation and reinforcement learning for efficient Benders decomposition
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source

