Results 131 to 140 of about 5,414 (291)

Randomized Quadrature with Periodic Kernels:  Applications to Cavalieri Volume Estimation

Image Analysis and Stereology
This paper studies randomized algorithms for unbiased numerical integration of d-dimensional periodic functions using kernel-based quadrature rules, with particular emphasis on rules induced by periodic radial basis function (RBF) kernels.
Francisco Javier Soto Sánchez
doaj   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Comportamento estocástico do algoritmo kernel least-mean-square [PDF]

, 2012
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Algoritmos baseados em kernel têm-se tornado populares no processamento não-linear de sinais.
Parreira, Wemerson Delcio
core  

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Reproducing kernel Hilbert spaces

, 2011
Hinter der Konstruktion von Hilberträumen mit reproduzierendem Kern verbirgt sich eine Theorie von Bijektionen bzw. Transformationen, die einen positiv definiten Kern mit einem Hilbertraum von Funktionen verbindet.
Bartokos, Stephanie
core  

Application of Reproducing Kernel Particle Method to Large Deformation Contact Analysis of Elastomers

, 1998
A meshless formulation based on the Reproducing Kernel Particle Method (RKPM) is applied to the large deformation and contact analysis of elastomeric components.
Chunhui Pan, Jiun-Shyan Chen, Cheng-Tang Wu   +2 more
core   +1 more source

Achieving High‐Density and Stress‐Resilient Maize Breeding Via Germplasm Innovation

Advanced Science, EarlyView.
Global population growth and climate change have exacerbated the global food crisis. This perspective presents a conceptual framework focusing on enhancing population advantages. Several novel breeding objectives are proposed to improve density tolerance and stress resistance for yield improvement.
Xinlong Li, Yongqiang Chen, Dong Ding, Xuehai Zhang, Xuxiang Jia, Zhanhui Zhang, Yafei Wang, Weihua Li, Hui Zhang, Jihua Tang   +9 more
wiley   +1 more source

A Correlative SICM‐OPM Platform for Surface and Volumetric Imaging in Live Cells

Advanced Science, EarlyView.
A multifunctional correlative imaging platform integrating Scanning Ion Conductance Microscopy (SICM) with Oblique Plane Microscopy (OPM) enables simultaneous surface topography, mechanical mapping, and 3D volumetric fluorescence imaging in live cells.
Wenzhi Hong, Ziwei Zhang, Ao Li, Ting Sun, Yunzhao Wu, Devkee M. Vadukul, Dylan Jones, Bing Li, Fengjie Liu, Francesco A. Aprile, Yuri Korchev, Julia Gorelik, David Klenerman, Andrew Shevchuk   +13 more
wiley   +1 more source

Reproducing Kernel Krein Spaces of Analytic Functions and Inverse Scattering

, 1985
The purpose of this thesis is to study certain reproducing kernel Krein spaces of analytic functions, the relationships between these spaces and an inverse scattering problem associated with matrix valued functions of bounded type, and an operator model.
Alpay, Daniel
core  

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

Advanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar, Hanrui Li, Divyanshu Divyanshu, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Amit Singh, Abdul Momin Syed, Selma Amara, Gianluca Setti, Nazek El‐Atab   +9 more
wiley   +1 more source