Results 211 to 220 of about 50,658,620 (345)

Deep learning based CT images automatic analysis model for active/non-active pulmonary tuberculosis differential diagnosis. [PDF]

Front Mol Biosci, 2022
Nijiati M, Zhou R, Damaola M, Hu C, Li L, Qian B, Abulizi A, Kaisaier A, Cai C, Li H, Zou X.   +10 more
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

AUTOMATIC CHROMOSOME ANALYSIS

British Medical Bulletin, 1968
openaire   +3 more sources

Automatic Fiscal Stabilisers: Implications for New Zealand [PDF]

Automatic fiscal stabilisers, or the cyclical components of the budget balance, are larger in New Zealand than in the average OECD country, reflecting both higher sensitivity to the conomic cycle, and a more volatile cycle. Fiscal vigilance is especially
Julie Tam, Heather Kirkham
core  

AI-based fully automatic analysis of retinal vascular morphology in pediatric high myopia. [PDF]

BMC Ophthalmol
Zhao Y, Zhao Z, Yang J, Li L, Nasseri MA, Zapp D.   +5 more
europepmc   +1 more source

From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output. [PDF]

Front Pharmacol, 2022
Baltrukevich H, Podlewska S.
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Automatic time series forecasting: the forecast package for R. [PDF]

Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. We describe two automatic forecasting algorithms that have been implemented in the forecast package for R.
Rob J. Hyndman, Yeasmin Khandakar
core  

Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning. [PDF]

Poult Sci
Oso OM, Mejia-Abaunza N, Bodempudi VUC, Chen X, Chen C, Aggrey SE, Li G.   +6 more
europepmc   +1 more source

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees. [PDF]

Appl Soft Comput, 2023
Custode LL, Mento F, Tursi F, Smargiassi A, Inchingolo R, Perrone T, Demi L, Iacca G.   +7 more
europepmc   +1 more source