Results 151 to 160 of about 10,242,979 (306)

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation. [PDF]

J Med Syst, 2022
Suri JS, Agarwal S, Saba L, Chabert GL, Carriero A, Paschè A, Danna P, Mehmedović A, Faa G, Jujaray T, Singh IM, Khanna NN, Laird JR, Sfikakis PP, Agarwal V, Teji JS, R Yadav R, Nagy F, Kincses ZT, Ruzsa Z, Viskovic K, Kalra MK.   +21 more
europepmc   +1 more source

Deep representation learning with target coding

, 2015
© Copyright 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. We consider the problem of learning deep representation when target labels are available. In this paper, we show that there exists intrinsic
Luo, Ping, Shum, Kenneth W., Tang, Xiaoou, Yang, Shuo, Loy, Chen Change   +4 more
core  

National Security Commission on Artificial Intelligence: Initial Report [PDF]

, 2019
A brief report summarizing the National Security Commission on Artificial Intelligence's activities, meetings, relationships with the U.S.
National Security Commission on Artificial Intelligence (U.S.)
core  

Culinary Chemistry as a Platform for Interfacial Materials Design

Advanced Materials Interfaces, EarlyView.
Culinary processes control interfaces through heating, shear, gelation, and molecular transport. This Review connects selected gastronomic examples with food‐derived nanomaterials, plasmonic sensing, anthocyanin photovoltaics, and intelligent packaging. Original agar‐based plasmonic films illustrate the proposed translation.
Josep Moreno, I. Brian Becerril‐Castro, Irene Calderon‐Gonzalez, Jaslyn Ru Ting Chen, Zhiming Wang, Alexander O. Govorov, José Manuel Romo‐Herrera, Neus Feliu, Wolfgang J. Parak, Miguel A. Correa‐Duarte, In Yee Phang, Xing Yi Ling, Ramón A. Alvarez‐Puebla   +12 more
wiley   +1 more source

Deep learning for chemoinformatics

大数据, 2017
Deep learning have been successfully used in computer vision，speech recognition and natural language processing，leading to the rapid development of artificial intelligence.The key technology of deep learning was also applied to chemoinformatics，speeding ...
Youjun XU, Jianfeng PEI
doaj  

Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models. [PDF]

Diagnostics (Basel), 2022
Nillmani, Jain PK, Sharma N, Kalra MK, Viskovic K, Saba L, Suri JS.   +6 more
europepmc   +1 more source

Beyond Passivation: Designing Structurally Tailored Artificial Interphases for High‐Energy Lithium‐Based Anodes

Advanced Materials Interfaces, EarlyView.
This review outlines critical engineering design rules for building artificial protective coatings on next‐generation lithium metal and silicon battery anodes. It highlights how balancing structural flexibility with strict electronic and ionic transport limits prevents early battery failure.
Surin Gupte, Vilas G. Pol
wiley   +1 more source

COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models. [PDF]

Diagnostics (Basel), 2021
Suri JS, Agarwal S, Pathak R, Ketireddy V, Columbu M, Saba L, Gupta SK, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Frence N, Ruzsa Z, Gupta A, Naidu S, Kalra M.   +39 more
europepmc   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Deep Learning Artificial Intelligence Model for Assessment of Hip Dislocation Risk Following Primary Total Hip Arthroplasty From Postoperative Radiographs. [PDF]

J Arthroplasty, 2021
Rouzrokh P, Ramazanian T, Wyles CC, Philbrick KA, Cai JC, Taunton MJ, Maradit Kremers H, Lewallen DG, Erickson BJ.   +8 more
europepmc   +1 more source