Results 201 to 210 of about 10,369,018 (353)

Deep learning-based parameter estimation in fetal diffusion-weighted MRI

, 2021
Davood Karimi, Camilo Jaimes, Fedel Machado‐Rivas, Lana Vasung, Shadab Khan, Simon K. Warfield, Ali Gholipour   +6 more
openalex   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

Deep-learning-based single-domain and multidomain protein structure prediction with D-I-TASSER [PDF]

Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Chunxiang Peng, Yong‐Guan Zhu, Lydia Freddolino, Yang Zhang   +8 more
openalex   +1 more source

Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data

, 2021
Bolu Oluwalade, Sunil Neela, Judy Wawira, Tobiloba Adejumo, Saptarshi Purkayastha   +4 more
openalex   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Segmentation of Multiple Tree Leaves Pictures with Natural Backgrounds using Deep Learning for Image-Based Agriculture Applications [PDF]

, 2019
Jaime Giménez-Gallego, Juan D. González-Teruel, Manuel Jiménez Buendía, Ana Toledo, F. Soto, Roque Torres-Sánchez   +5 more
openalex   +1 more source

Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation

, 2021
Jhabindra Khanal, Hilal Tayara, Quan Zou, Kil To Chong   +3 more
openalex   +1 more source

Deep Learning Algorithms for Automatic COVID-19 Detection on Chest X-Ray Images [PDF]

, 2022
Sergio Cannata, Annunziata Paviglianiti, Eros Pasero, Giansalvo Cirrincione, Maurizio Cirrincione   +4 more
openalex   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source