Results 201 to 210 of about 55,665 (307)

Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation

Advanced Intelligent Systems, EarlyView.
SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang, Chong Wang, Yingao Xu, Shihan Wang, Houping Wu, Yulian Peng, Hongbo Wang   +6 more
wiley   +1 more source

Development and Evaluation of Geostatistical Methods for Non-Euclidean-Based Spatial Covariance Matrices. [PDF]

Math Geosci, 2019
Davis BJK, Curriero FC.
europepmc   +1 more source

Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques

Advanced Intelligent Systems, EarlyView.
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali, Derya Demir, Kutsev B. Ozyoruk, Yasin Almalioglu, Emre C. Kose, Drew F. K. Williamson, Gurdeniz Serin, G. Evren Keles, Banu S. Kumbaraci, Ceren Utku, Uguray P. Hacisalihoglu, Ilknur Turkmen, Figen Ozturk, Kayhan Basak, Yavuz Nuri Ertas, Mehmet Turan   +15 more
wiley   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

Uncovering renewable energy policy impact channels on land values, the local farm structure, and farmland heterogeneity

American Journal of Agricultural Economics, EarlyView.
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt, Stefan Seifert, Saskia Wolff, Tobia Lakes, Marten Graubner, Axel Werwatz, Silke Hüttel   +6 more
wiley   +1 more source

Video based object representation and classification using multiple covariance matrices. [PDF]

PLoS One, 2017
Zhang Y, Liu Q.
europepmc   +1 more source

The role of venture‐financed startups in innovation for US agriculture

American Journal of Agricultural Economics, EarlyView.
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff, Charles A. W. de Grazia, Nicholas E. Rada   +2 more
wiley   +1 more source

TESTING HIGH-DIMENSIONAL COVARIANCE MATRICES, WITH APPLICATION TO DETECTING SCHIZOPHRENIA RISK GENES. [PDF]

Ann Appl Stat, 2017
Zhu L, Lei J, Devlin B, Roeder K.
europepmc   +1 more source

Frequency‐ and Network‐Specific Changes in Functional Connectivity Reflect Pathophysiological Mechanisms across Parkinson's Disease Stages

Annals of Neurology, EarlyView.
Objective Parkinson's disease (PD) is increasingly conceptualized as a disorder of large‐scale brain networks, yet whether and how frequency‐specific functional connectivity reorganizes across stages remains poorly understood. In this study, we used high‐density electroencephalography (EEG) to characterize cortico‐cortical functional connectivity ...
Matteo Conti, Valentina D'Onofrio, Luca Lorenzon, Laura Ludovica Grassi, Davide Mascioli, Valerio Ferrari, Clara Simonetta, Sofia Pavan, Francesca Di Giuliano, Mariangela Pierantozzi, Tommaso Schirinzi, Diego Centonze, Maurizio Corbetta, Angelo Antonini, Alessandro Stefani, Andrea Guerra   +15 more
wiley   +1 more source

Computing Multivariate Effect Sizes and Their Sampling Covariance Matrices With Structural Equation Modeling: Theory, Examples, and Computer Simulations. [PDF]

Front Psychol, 2018
Cheung MW.
europepmc   +1 more source