Results 121 to 130 of about 5,326,339 (296)

Improving the Seismic Impedance Inversion by Fully Convolutional Neural Network

Journal of Marine Science and Engineering
Applying deep neural networks (DNNs) to broadband seismic wave impedance inversion is challenging, especially in generalizing from synthetic to field data, which limits the exploitation of their nonlinear mapping capabilities. While many research studies
Liurong Tao, Zhiwei Gu, Haoran Ren
doaj   +1 more source

An End-to-End Human Segmentation by Region Proposed Fully Convolutional Network

IEEE Access, 2019
Person segmentation in images has various applications, for example, smart home, human-computer interaction, and scene perception for self-driving cars, which are a key feature of the Internet of Things.
Xiaoyan Jiang, Yongbin Gao, Zhijun Fang, Peng Wang, Bo Huang   +4 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting

, 2020
Forecasting the traffic flow is a critical issue for researchers and practitioners in the field of transportation. Using the graph convolutional network (GCN) is widespread in traffic flow forecasting. Existing GCN-based methods mostly rely on undirected
Zhaoyang Li, Li, Lin, Lin Li, Tao, Xiaohui, Yuquan Peng, Li, Zhaoyang, Peng, Yuquan, Xiaohui Tao   +7 more
core   +1 more source

Turbo NOC: a framework for the design of Network-on-Chip-basedturbo decoder architectures [PDF]

, 2010
This paper proposes a general framework for the design and simulation of network-on-chip-based turbo decoder architectures. Several parameters in the design space are investigated, namely, network topology, parallelism degree, the rate at which messages ...
Masera, Guido, Martina, Maurizio
core   +1 more source

Microscopic Insights into Magnetic Warping and Time‐Reversal Symmetry Breaking in Topological Surface States of Rare‐Earth‐Doped Bi2Te3

Advanced Materials, EarlyView.
Magnetic doping of the topological insulator Bi2Te3 with erbium adatoms induces out‐of‐plane magnetism and breaks time‐reversal symmetry, opening a Dirac gap and driving a Fermi surface transition from hexagonal to star‐of‐David geometry. Microscopy, spectroscopy, and magnetic dichroism reveal atomically controlled magnetic interactions that tailor the
Beatriz Muñiz Cano, Fabián Calleja, Ji Dai, Massimo Tallarida, Vera Marinova, Alessandro Barla, Marc G. Cuxart, Pierluigi Gargiani, Gonzalo N. Molina, José Angel Silva‐Guillén, Adriana I. Figueroa, Kevin García‐Díez, Sergio O. Valenzuela, Aitor Mugarza, Amadeo L. Vázquez de Parga, Rodolfo Miranda, Francisco Guinea, Manuela Garnica, Miguel A. Valbuena   +18 more
wiley   +1 more source

Resolving the Structural Duality of Graphene Grain Boundaries

Advanced Materials, EarlyView.
Cantilever ncAFM resolves the atomic structure of grain boundaries in graphene, revealing coexisting stable and metastable types. Both contain pentagon/heptagon defects, but metastable GBs show irregular geometries. Modeling shows metastable GBs form under compression, exhibiting vertical corrugation, while stable GBs are flat.
Haojie Guo, Emiliano Ventura‐Macías, Mariano D. Jiménez‐Sánchez, Nicoleta Nicoara, Pierre Mallet, Jean‐Yves Veuillen, Vincent T. Renard, Antonio J. Martínez‐Galera, Pablo Pou, Julio Gómez‐Herrero, Rubén Pérez, Iván Brihuega   +11 more
wiley   +1 more source

Look-behind fully convolutional neural network for computer-aided endoscopy

, 2019
In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images.
Diamantis D.E., Iakovidis D.K., Koulaouzidis A.
core   +1 more source

Memristor-Based Design of Sparse Compact Convolutional Neural Network

, 2021
© 2013 IEEE. Memristor has been widely studied for hardware implementation of neural networks due to the advantages of nanometer size, low power consumption, fast switching speed and functional similarity to biological synapse.
Huang, T, Wen, S, Yan, Z, Yang, Y, Wei, H, Chen, Y, Guo, Z   +6 more
core   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source