scholarly journals Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials

2021 ◽  
Author(s):  
Daniil A. Boiko ◽  
Evgeniy O. Pentsak ◽  
Vera A. Cherepanova ◽  
Evgeniy G. Gordeev ◽  
Valentine P. Ananikov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Analysis ◽  
Carbon Material ◽  
Deep Neural Network ◽  
Carbon Materials ◽  
Material Surface ◽  
Neural Network Analysis ◽  
Pd Nanoparticle ◽  
Sem Imaging

Defectiveness of carbon material surface is a key issue for many applications. Pd-nanoparticle SEM imaging was used to highlight “hidden” defects and analyzed by neural networks to solve order/disorder classification and defect segmentation tasks.

scholarly journals Quantitative Dynamics Effects of Belt and Road Economies Trade Using Structural Gravity and Neural Networks

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110326
Author(s):  
Koffi Dumor ◽  
Li Yao ◽  
Jean-Paul Ainam ◽  
Edem Koffi Amouzou ◽  
Williams Ayivi
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Analysis ◽  
Bilateral Trade ◽  
Belt And Road Initiative ◽  
Neural Network Analysis ◽  
Analysis Techniques ◽  
Belt And Road ◽  
The Impact ◽  
Trade Partners

Recent research suggests that China’s Belt and Road Initiative (BRI) would improve the bilateral trade between China and its partners. This article uses detailed bilateral export data from 1990 to 2017 to investigate the impact of China’s BRI on its trade partners using neural network analysis techniques and structural gravity model estimations. Our main findings suggest that the BRI countries would raise exports by a modest 5.053%. This indicates that export and network upgrades should be considered from economic and policy perspectives. The results also show that neural networks is more robust compared with structural gravity framework.

Real-time tumor tracking using fluoroscopic imaging with deep neural network analysis

2019 ◽  
Vol 59 ◽  
pp. 22-29 ◽  
Author(s):  
Ryusuke Hirai ◽  
Yukinobu Sakata ◽  
Akiyuki Tanizawa ◽  
Shinichiro Mori
Keyword(s):  
Neural Network ◽  
Network Analysis ◽  
Real Time ◽  
Deep Neural Network ◽  
Neural Network Analysis ◽  
Tumor Tracking ◽  
Fluoroscopic Imaging

scholarly journals Estimating China’s Trade with Its Partner Countries within the Belt and Road Initiative Using Neural Network Analysis

2019 ◽  
Vol 11 (5) ◽  
pp. 1449 ◽  
Author(s):  
Koffi Dumor ◽  
Li Yao
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
International Trade ◽  
Network Analysis ◽  
Gravity Model ◽  
Accurate Estimation ◽  
Belt And Road Initiative ◽  
Neural Network Analysis ◽  
Belt And Road ◽  
The Belt And Road

The Belt and Road Initiative (BRI) under the auspices of the Chinese government was created as a regional integration and development model between China and her trade partners. Arguments have been raised as to whether this initiative will be beneficial to participating countries in the long run. We set to examine how to estimate this trade initiative by comparing the relative estimation powers of the traditional gravity model with the neural network analysis using detailed bilateral trade exports data from 1990 to 2017. The results show that neural networks are better than the gravity model approach in learning and clarifying international trade estimation. The neural networks with fixed country effects showed a more accurate estimation compared to a baseline model with country-year fixed effects, as in the OLS estimator and Poisson pseudo-maximum likelihood. On the other hand, the analysis indicated that more than 50% of the 6 participating East African countries in the BRI were able to attain their predicted targets. Kenya achieved an 80% (4 of 5) target. Drawing from the lessons of the BRI and the use of neural network model, it will serve as an important reference point by which other international trade interventions could be measured and compared.

Smoking causes early biological aging: a deep neural network analysis of common blood test results

2018 ◽  
Author(s):  
Neil Skjodt ◽  
Polina Mamoshina ◽  
Kirilli Kochetov ◽  
Franco Cortese ◽  
Anna Kovalchuk ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Analysis ◽  
Blood Test ◽  
Deep Neural Network ◽  
Biological Aging ◽  
Test Results ◽  
Neural Network Analysis

scholarly journals Bankruptcy in Indian Private Sector Banks: A Neural Network Analysis

2020 ◽  
Vol 19 (3) ◽  
pp. 89-114
Author(s):  
Surbhi Dhama
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Analysis ◽  
Private Sector ◽  
Financial Institutions ◽  
Economic Condition ◽  
Banking Industry ◽  
Financial Data ◽  
Neural Network Analysis ◽  
Private Banks

This paper aims to predict the bankruptcy in Indian private banks using financial ratios such as ROA, GNPA, EPS, PAT, and GNP of the country. This paper also explains the importance of Ohlson’s number, Graham’s number and Zmijewski number as the major predictors of bankruptcy while developing a model using neural networks. For the prediction, the financial data for private sector banks of India such as HDFC, HDFC, ICICI, AXIS, YES bank, KOTAK MAHINDRA Bank, FEDERAL BANK, INDUSIND Bank, RBL and KARUR VYSYA for the last 10 years from 2010-2019 have been analysed. The model developed during the research will help the financial institutions and banks in India to understand the economic condition of the banking industry.

Variety identification of wheat using mass spectrometry with neural networks and the influence of mass spectra processing prior to neural network analysis

2002 ◽  
Vol 16 (12) ◽  
pp. 1232-1237 ◽  
Author(s):  
Helle Aagaard Sørensen ◽  
Maria Maddalena Sperotto ◽  
Marianne Petersen ◽  
Can Keşmir ◽  
Louise Radzikowski ◽  
...  
Keyword(s):  
Neural Network ◽  
Mass Spectrometry ◽  
Neural Networks ◽  
Network Analysis ◽  
Mass Spectra ◽  
Variety Identification ◽  
Neural Network Analysis ◽  
Spectra Processing

Identification of smokingstatus from routine blood test results using deep neural network analysis.

2018 ◽  
Author(s):  
Neil Skjodt ◽  
Polina Mamoshina ◽  
Kirill Kochetov ◽  
Franco Cortese ◽  
Anna Kovalchuk ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Analysis ◽  
Blood Test ◽  
Deep Neural Network ◽  
Test Results ◽  
Neural Network Analysis ◽  
Routine Blood ◽  
Routine Blood Test
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