Results 91 to 100 of about 249,692 (322)
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Advanced Science, EarlyView.Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source
NAPE: Numbering as a Position Encoding in Graphs
IEEE AccessDeep learning has been instrumental in feature extraction from various data types, such as images and sequences, which inherently possess oriented structures.
Olayinka Ajayi, Hongkai Wen, Tanaya Guha
doaj +1 more source
Differentiable roots, eigenvalues, and eigenvectors
, 2013 We determine the conditions for the existence of $C^p$-roots of curves of monic complex polynomials as well as for the existence of $C^p$-eigenvalues and $C^p$-eigenvectors of curves of normal complex matrices.Comment: 18 pages, some typos corrected ...
Rainer, Armin
core +1 more source
A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation
Advanced Science, EarlyView.We introduce a statistical mechanics framework to decode the genomic crosstalk governing plant grafting. By integrating evolutionary game theory with transcriptomics, we reconstruct idopNetworks (informative, dynamic, omnidirectional, and personalized networks) that map scion–rootstock interactions.
Ang Dong +4 more
wiley +1 more source
Improved complete neighbourhood preserving embedding for face recognition
IET Computer Vision, 2013 Complete neighbourhood preserving embedding (CNPE) is a recently proposed approach to overcome the drawbacks of neighbourhood preserving embedding (NPE) which is difficult to directly apply to face recognition because of computational complexity. However,
Gui‐Fu Lu, Yong Wang, Jian Zou
doaj +1 more source
An Example of Symmetry Exploitation for Energy-related Eigencomputations
, 2009 One of the most used approaches in simulating materials is the tight-binding approximation. When using this method in a material simulation, it is necessary to compute the eigenvalues and eigenvectors of the Hamiltonian describing the system. In general,
Bientinesi, Paolo +2 more
core
Discriminative Features via Generalized Eigenvectors [PDF]
, 2013 Representing examples in a way that is compatible with the underlying classifier can greatly enhance the performance of a learning system. In this paper we investigate scalable techniques for inducing discriminative features by taking advantage of simple
Karampatziakis, Nikos, Mineiro, Paul
core
Advanced Science, EarlyView.A thermally programmable two‐port non‐Hermitian acoustic metastructure is presented, where temperature acts as a non‐geometric tuning variable. Thermal modulation reconfigures impedance matching and loss‐leakage coupling, enabling exceptional‐point driven, broadband, and direction‐dependent sound absorption without requiring geometric reconfiguration ...
Zichao Guo +6 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT Social tensions and resource depletion pose significant challenges to the agri‐food sector, highlighting the need for coordinated strategies to ensure sustainability in supply chains. Despite its critical importance, the relationship between coordination mechanisms and sustainability performance remains underexplored.
Carlos Moreno‐Miranda, Liesbeth Dries
wiley +1 more source
Energies, 2017 State monitoring is very important for the safe operation of high-voltage transformers. A non-contact vibro-acoustic detection method based on the Blind Source Separation (BSS) was proposed in this paper to promote the development of transformer on-line ...
Liang Zou +4 more
doaj +1 more source