Results 141 to 150 of about 185,534 (230)
Uncertainties exist in computational fluid dynamics (CFD) modeling of complex metallurgical processes, even when partly validated by laboratory experiments. rCFD enables computationally efficient prediction of long‐term RH degassing and can be adapted to vary flow conditions.
Xiaomeng Zhang +3 more
wiley +1 more source
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
wiley +1 more source
Organizational Principles of Biological Systems. [PDF]
Navarro-Quiroz RC +16 more
europepmc +1 more source
Vertical Deformation Mapping: Steering Optimiser Toward Flat Minima
ABSTRACT Standard deep learning optimisation is typically conducted on shape‐fixed loss surfaces. However, shape‐fixed loss surfaces may impede optimisers from reaching flat regions closely associated with strong generalisation. In this work, we propose a new paradigm named deformation mapping to deform the loss surface during optimisation.
Liangming Chen +4 more
wiley +1 more source
Quantifying and comparing causal patterns in stochastic chemical reaction networks. [PDF]
Kahramanoğulları O.
europepmc +1 more source
ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li +5 more
wiley +1 more source
Molecular Dissipative Structuring: The Fundamental Creative Force in Biology. [PDF]
Michaelian K.
europepmc +1 more source
Partial seasonal migration is rarely considered in a metapopulation context. Here, Haaland et al. use an eco‐evolutionary model revealing how partially migratory metapopulations may arise and be maintained, and how seasonal migrants may cause effects of local extreme climatic events to percolate through metapopulations across diverging temporal and ...
Thomas R. Haaland +7 more
wiley +1 more source
Harnessing non-equilibrium forces to optimize work extraction. [PDF]
Olsen KS +3 more
europepmc +1 more source
The Political Economy of Patent Buyouts
ABSTRACT Incentivizing innovation through buyouts may alleviate the social costs associated with patent power, but the political economy and feasibility of this potentially important financing mechanism have been understudied. We study an international setting of countries with different innovation and financing capabilities, and where financing ...
Amal Ahmad +2 more
wiley +1 more source

