Results 121 to 130 of about 552,282 (301)

Application of deep learning for division of petroleum reservoirs

MATEC Web of Conferences, 2018
Traditional methods of dividing petroleum reservoirs are inefficient, and the accuracy of onehidden-layer BP neural network is not ideal when applied to dividing reservoirs.
Qin Yaqiong, Ye Zhaohui, Zhang Conghui
doaj   +1 more source

Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection [PDF]

, 2014
Haibo Wang, Ángel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi   +8 more
openalex   +1 more source

Independent Wavefront Multiplexing with Metasurfaces via Non‐Injective Transformation

Advanced Materials, EarlyView.
In this work, a universal metasurface multiplexing strategy is presented based on non‐injective transformation. By jointly optimizing two metasurfaces, multiplexed channels achieve independent wavefront control, overcoming crosstalk limits of single‐layer designs.
Xiao Jin, Thomas Zentgraf
wiley   +1 more source

Soft and Strong: Elastic Conductors with Bio‐Inspired Self‐Protection

Advanced Materials, EarlyView.
A general reverse‐engineering approach is demonstrated for designing functional yarns that uses woven fabric architecture as a structural framework. The fabric‐based stretchable conductive yarns combine flexibility, high elasticity, low stiffness, self‐protection, and weavability with conventional textile processes. By fine‐tuning the number of elastic
Chenglong Zhang, Xiulun Yin, Chris Zhou, Xin Lu, Siying Wu, Ying Li, Addie Bahi, Sukhneet Kaur Dhillon, Orlando J. Rojas, Jinhua Jiang, Nanliang Chen, Frank K. Ko, John D. W. Madden   +12 more
wiley   +1 more source

Multifunctional Micro/Nanostructured Interfaces, Fabrication Technologies, Wetting Control, and Future Prospects

Advanced Materials Interfaces, EarlyView.
This review explores recent developments in micro/nanostructured surfaces, with a focus on cavity‐based and reentrant geometries for enhanced liquid repellency and interfacial control. The review discusses fabrication strategies, structural design principles, and application trends, providing a balanced perspective on opportunities and ongoing ...
Seo Rim Park, Myung Seo Kim, Seong Min Yoon, Seo Na Yoon, Yu Ju Han, Sun Hye Yoon, Jun Ho Song, Na Ye Jang, Chae Hyeok Yoon, Woo Young Kim, Seok Kim, Young Tae Cho   +11 more
wiley   +1 more source

Deep Learning Analysis of Solid‐Electrolyte Interphase Microstructures in Lithium‐Ion Batteries

Advanced Materials Interfaces, EarlyView.
A transformer‐based deep learning model is developed for segmenting and analyzing high‐resolution TEM images of the solid‐electrolyte interphase (SEI) in lithium‐ion batteries. The model is trained on DFT‐based simulated images and predicts SEI grain and grain boundaries, revealing key microstructural features that govern ion transport and degradation.
Ishraque Zaman Borshon, Vahid Jabbari, Todd A. Kingston, Reza Shahbazian‐Yassar, Vitaliy Yurkiv   +4 more
wiley   +1 more source

Application of Graph Spatio-Temporal Convolutional Neural Network in Motor Intention Recognition of Stroke Patients

康复学报
ObjectiveTo evaluate the decoding accuracy and model performance of a graph spatio-temporal convolutional neural network (G-STCNN) in motor intention recognition of stroke patients.MethodsWe developed a novel G-STCNN model by integrating graph ...
XU Hui, MA Jun, ZHANG Jingjing, ZHANG Tao, ZHAO Zhiwei, SHAN Chunlei   +5 more
doaj  

Recent Progress in Memristor Array‐Based Neuromorphic Computing for on‐Chip Vector‐Matrix Multiplication

Advanced Materials Technologies, EarlyView.
Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
wiley   +1 more source

Lower limb motor function assessment based on TensorFlow convolutional neural network and kernel entropy component analysis–local tangent space alignment [PDF]

, 2014
Yan Zhang, Sining Li, Ying Zhou, Jian Liu   +3 more
openalex   +1 more source

Advanced Ceramics in Aerospace and Defense: The Interrelationship between Traditional and Additive Manufacturing Approaches

Advanced Materials Technologies, EarlyView.
Additive manufacturing revolutionizes production by enabling on‐demand, customized, and sustainable manufacturing with streamlined supply chains. While metal and polymer AM are well‐established, advanced ceramic AM is rapidly emerging, overcoming traditional material challenges.
Kateryna Oleksandrivna Shvydyuk, Senentxu Lanceros‐Mendez, Abílio Pereira Silva   +2 more
wiley   +1 more source