Results 81 to 90 of about 10,590 (247)
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
Advanced Intelligent Systems, EarlyView.METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Test function: A new approach for covering the central subspace
, 2011 In this paper we offer a complete methodology for sufficient dimension reduction called the test function (TF). TF provides a new family of methods for the estimation of the central subspace (CS) based on the introduction of a nonlinear transformation of the response.
Portier, François, Delyon, Bernard
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Advanced Intelligent Systems, EarlyView.The method presented in this paper provides a practical sensorless solution for estimating both contact force and contact location using only standard joint encoders and an available robot dynamic model. By reformulating the contact estimation problem using a single scalar equivalent contact parameter, the approach enables fast and robust computation ...
Thanh‐Quan Ta, Shyh‐Leh Chen
wiley +1 more source
Quantum estimation with state symmetry-induced optimal measurements
Nature CommunicationsA central challenge in quantum metrology is identifying optimal measurements that saturate the quantum Cramér-Rao bound under realistic constraints, e.g., local measurements.
Jia-Xuan Liu +3 more
doaj +1 more source
Dynamic determinants of the uncontrolled manifold during human quiet stance
Frontiers in Human Neuroscience, 2016 Human postural sway during stance arises from coordinated multi-joint movements. Thus, a sway trajectory represented by a time-varying postural vector in the multiple-joint-angle-space tends to be constrained to a low-dimensional subspace.
Yasuyuki Suzuki +4 more
doaj +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Carbon Energy, EarlyView.Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
From Data to Dimers: Engineering Acene Derivatives for Photovoltaic Singlet Fission
Chemistry – A European Journal, EarlyView.Excited‐state energies of acene derivatives are predicted using a ChemBERTa‐based regression model and subsequently used to screen candidates for photovoltaic singlet fission using dimer–monomer benchmarked energetic criteria. Promising candidates are predominantly 5‐ and 6‐fused heteroacenes, which offer enhanced stability and higher triplet energies ...
Alexander J. Cross +2 more
wiley +1 more source
Stochastic hierarchical data-driven optimization: application to plasma-surface kinetics
Machine Learning: Science and TechnologyThis work introduces a stochastic hierarchical optimization framework inspired by sloppy model theory for the efficient calibration of physical models. Central to this method is the use of a reduced Hessian approximation, which identifies and targets the
José Afonso, Vasco Guerra, Pedro Viegas
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Central kernels of subspaces of
Journal of Mathematical Analysis and Applications, 2007 For any closed subspace \(L\) of a complex Banach space \(A\), there exists a greatest M-ideal \(k_n(L)\) of \(A\) contained in \(L\). The space \(k_n (L)\) is called the norm central kernel of \(L\) in \(A\). When \(A\) is a dual space and \(L\) is a weak*-closed subspace, there exists a greatest M-summand \(k(L)\) of \(A\) contained in \(A\). \(k(L)\)
Edwards, C, Hoskin, C
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Revisiting Fisher's n‐D statistical vision: From algebraic abstraction to modern visualization
Canadian Journal of Statistics, EarlyView.Abstract We revisit early foundational results in mathematical statistics derived by Ronald A. Fisher. They involve sampling distributions of statistics calculated from independent and identically distributed Normal observations, namely the root mean square deviation; the mean absolute deviation, conditional on already knowing the value of the root ...
James A. Hanley
wiley +1 more source