Results 61 to 70 of about 5,402 (301)
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone+7 more
wiley +1 more source
Strong endomorphism kernel property for monounary algebras [PDF]
All monounary algebras which have strong endomorphism kernel property are described.
Emília Halušková
doaj +1 more source
To handle nonlinearity and feature coupling, a data‐driven aging model is proposed, employing dual Gaussian Process Regressions and transfer learning to enhance model efficiency and accuracy. Adaptive filtering refines the model by integrating aging features and output capacity, resulting in a closed‐loop data fusion framework for SOH estimation ...
Zhiqiang Lyu+3 more
wiley +1 more source
Auctions versus bookbuilding: The effects of IPO regulation in Japan
Abstract We analyze a regulatory change in the Japanese IPO market that created an abrupt shift from hybrid price‐discriminatory auctions to bookbuilding. We find that bookbuilding leads to higher underpricing than hybrid price‐discriminatory auctions.
Timo Lehmann, Matthias Weber
wiley +1 more source
Asymptotics of lattice walks via analytic combinatorics in several variables [PDF]
We consider the enumeration of walks on the two-dimensional non-negative integer lattice with steps defined by a finite set S ⊆ {±1, 0}2 . Up to isomorphism there are 79 unique two-dimensional models to consider, and previous work in this area has used ...
Stephen Melczer, Mark C. Wilson
doaj +1 more source
Analysis of density matrix embedding theory around the non‐interacting limit
Abstract This article provides the first mathematical analysis of the Density Matrix Embedding Theory (DMET) method. We prove that, under certain assumptions, (i) the exact ground‐state density matrix is a fixed‐point of the DMET map for non‐interacting systems, (ii) there exists a unique physical solution in the weakly‐interacting regime, and (iii ...
Eric Cancès+4 more
wiley +1 more source
On the solution of the convolution equation with a sum-difference kernel
The paper deals with the integral equations of the second kind with a sumdifference kernel. These equations describe a series of physical processes in a medium with a reflective boundary.
Ani G Barseghyan
doaj +1 more source
In magnetic resonance imaging, the fidelity of image reconstruction is an important criterion. It has been suggested that the infinite-extent sinc kernel is the ideal interpolation kernel for ensuring the reconstruction quality of non-Cartesian ...
Sangwoo Kim, Chulhyun Lee
doaj +1 more source