Results 51 to 60 of about 27,852 (244)
An Efficient Algorithm for Direction Finding against Unknown Mutual Coupling
Sensors, 2014 In this paper, an algorithm of direction finding is proposed in the presence of unknown mutual coupling. The preliminary direction of arrival (DOA) is estimated using the whole array for high resolution.
Weijiang Wang +3 more
doaj +1 more source
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
Advanced Science, EarlyView.ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
Substation Equipment 3D Identification Based on KNN Classification of Subspace Feature Vector
Journal of Intelligent Systems, 2017 Aiming to realize rapid and efficient three-dimensional (3D) identification of substation equipment, this article proposes a new method in which the 3D identification of substation equipment is based on K-nearest neighbor (KNN) classification of subspace
Guo Weiying, Ji Yong, Luo Yong, Zhou Yan
doaj +1 more source
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Convolutional neural networks (CNNs) have become a key asset to most of fields in AI. Despite their successful performance, CNNs suffer from a major drawback. They fail to capture the hierarchy of spatial relation among different parts of an entity. As a remedy to this problem, the idea of capsules was proposed by Hinton.
Edraki, Marzieh +2 more
openaire +3 more sources
Advanced Science, EarlyView.A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li +3 more
wiley +1 more source
Acoustic signal localization through the use of Head Related Transfer Functions [PDF]
Journal of Systemics, Cybernetics and Informatics, 2004 An acoustic image of space is an acoustically described visual image intended to help blind people orient themselves in space. Description is made with the aid of spatial sounds created using HRTF filters. HRTF filters are empirically acquired FIR filter
Jaka Sodnik, Rudolf Susnik, Saso Tomazic
doaj
Beyond the Non‐Hermitian Skin Effect: Scaling‐Controlled Topology from Exceptional‐Bound Bands
Advanced Science, EarlyView.ABSTRACT We establish a novel mechanism for topological transitions in non‐Hermitian systems that are controlled by the system size. Based on a new paradigm known as exceptional‐bound (EB) band engineering, its mechanism hinges on the unique critical scaling behavior near an exceptional point, totally unrelated to the well‐known non‐Hermitian skin ...
Mengjie Yang, Ching Hua Lee
wiley +1 more source
Michigan Mathematical Journal, 1996 Let \(T\) and \(D\) be the translation and unitary dilation operators on \(L^2(\mathbb{R})\) given by \((Tf)(t)= f(t- 1)\) and \((Df)(t)=\sqrt 2f(2t)\). An orthogonal wavelet for a subspace \(X\) of \(L^2(\mathbb{R})\) is a unit vector \(\psi\in X\) such that \(\{D^nT^m\psi: n,m\in\mathbb{Z}\}\) is an orthonormal basis of \(X\).
Dai, Xingde, Lu, Shijie
openaire +3 more sources
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
Advanced Science, EarlyView.ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
Staged Diversity‐Constrained Machine Learning for High‐Dimensional Reaction Condition Optimization
Angewandte Chemie, EarlyView.Staged diversity‐constrained modeling enables efficient navigation of high‐dimensional reaction spaces, validated on cross‐coupling HTE data and applied to ruthenium‐catalyzed meta‐C─H functionalization. ABSTRACT Optimizing reaction conditions in high‐dimensional chemical spaces remains a central challenge in modern synthesis.
Shu‐Wen Li +5 more
wiley +2 more sources