Automated detection of entry and exit nodes in traffic networks of irregular shape

2021 ◽  
Vol 11 (2) ◽  
pp. 143
Author(s):  
Simon Plakolb ◽  
Christian Hofer ◽  
Georg Jäger ◽  
Manfred Füllsack
Keyword(s):  
Automated Detection ◽  
Irregular Shape ◽  
Traffic Networks ◽  
Entry And Exit

Automated detection of entry and exit nodes in traffic networks of irregular shape

2021 ◽  
Vol 11 (2) ◽  
pp. 143
Author(s):  
Manfred Füllsack ◽  
Georg Jäger ◽  
Christian Hofer ◽  
Simon Plakolb
Keyword(s):  
Automated Detection ◽  
Irregular Shape ◽  
Traffic Networks ◽  
Entry And Exit

Automated detection of epithelial changes in colorectal carcinoma

2012 ◽  
Vol 50 (05) ◽  
Author(s):  
G Valcz ◽  
I Bándi ◽  
B Wichmann ◽  
A Patai ◽  
D Szabó ◽  
...  
Keyword(s):  
Colorectal Carcinoma ◽  
Automated Detection

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

Business processes in the insurance company: The method of operation through separating the key areas of activities

2020 ◽  
Vol 23 (11) ◽  
pp. 1269-1290
Author(s):  
A.A. Turgaeva
Keyword(s):  
Business Process ◽  
Business Processes ◽  
Systems Approach ◽  
Insurance Company ◽  
Entry And Exit ◽  
Control Procedures ◽  
Selection Of

Subject. This article analyzes the business processes in the insurance company, using the method of their operation with the selection of key areas of activity. Objectives. The article aims to describe certain business processes in insurance, highlighting participants, lines of activity, and the sequence of procedures. It analyzes the business process Settlement of Losses, which is one of the significant business processes in the insurance company. Methods. For the study, I used the methods of induction and deduction, analogy, and the systems approach. Results. Based on the analysis and description of business processes in the insurance company and the identification of key elements and steps in terms of the effectiveness of decisions, the article identifies the checkpoints of Entry and Exit, activity direction, and resources of the Settlement of Losses process. Conclusions. The application of the categories that split business processes makes it possible to develop step regulation for all processes and acceptable control procedures for different operations. The presented checkpoints at different steps of the business process will help identify weaknesses and eliminate them by re-checking the point.

The morphology and ultrastructure of pollen grains of Scutasporites nanuki Utting (Sashiniaceae, Coniferales) from the Permian of the East-European Platform

Palaeobotany ◽  
2012 ◽  
Vol 3 ◽  
pp. 5-11
Author(s):  
A. V. Gomankov ◽  
V. F. Tarasevich
Keyword(s):  
East European Platform ◽  
Central Body ◽  
Pollen Grains ◽  
Irregular Shape ◽  
East European ◽  
Sem And Tem

Dispersed bisaccate pollen grains of Scutasporites nanuki were studied by means of LM, SEM and TEM. Sacci ultrastructure of these pollen grains was rather peculiar. Sacci were like a thin fi lmy fringe attached to the central body near the equator. They were fi lled with sporopollenin elements of irregular shape and various dimensions with equally various cavities between them. Such an ultrastructure is called as spongy. The morphology and ultrastructure of S. nanuki is discussed in the context of the evolution of early conifers.

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