scholarly journals Online Transfer Learning and Organic Computing for Deep Space Research and Astronomy

2019 ◽  
Author(s):  
Sadanandan Natarajan
Keyword(s):  
Transfer Learning ◽  
Space Research ◽  
Deep Space ◽  
Organic Computing

Prospects for the application of artificial intelligence methods in space research tasks

2019 ◽  
Vol 24 (3-4) ◽  
pp. 17-26
Author(s):  
Pisarenko V. ◽  
◽  
Pisarenko U. ◽  
Gulchak O. ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Space Exploration ◽  
Space Missions ◽  
Space Research ◽  
Space Environment ◽  
Deep Space ◽  
Successful Completion ◽  
Deep Space Exploration ◽  
Artificial Intelligence Methods

Modern ideas of security problems are being described which are being associated with the implementation of manned flights into "deep space". The analysis of approaches to the development of criteria for the successful completion of space missions, to assess the risks of exposure to adverse factors of the space environment. The classification of risks to the health and life of astronauts in long space missions is carried out, the rationale for the conclusion about the prospects of the widespread use of robotics with elements of artificial intelligence in the tasks of deep space exploration is given.

scholarly journals Online transfer learning and organic computing for deep space research and astronomy

2019 ◽  
Author(s):  
Sadanandan Natarajan
Keyword(s):  
Transfer Learning ◽  
Outer Space ◽  
Space Vehicle ◽  
Analysis Data ◽  
Learning Task ◽  
Deep Space ◽  
Target Domain ◽  
Space Analysis ◽  
Deep Space Exploration ◽  
Amount Of Knowledge

Deep space exploration is the pillars within the field of outer space analysis and physical science. The amount of knowledge from numerous space vehicle and satellites orbiting the world of study are increasing day by day. This information collected from numerous experiences of the advanced space missions is huge. These information helps us to enhance current space knowledge and the experiences can be converted and transformed into segregated knowledge which helps us to explore and understand the realms of the deep space.. Online Transfer Learning (OTL) is a machine learning concept in which the knowledge gets transferred between the source domain and target domain in real time, in order to help train a classifier of the target domain. Online transfer learning can be an efficient method for transferring experiences and data gained from the space analysis data to a new learning task and can also routinely update the knowledge as the task evolves.

scholarly journals Online transfer learning and organic computing for deep space research and astronomy

2019 ◽  
Author(s):  
Sadanandan Natarajan
Keyword(s):  
Transfer Learning ◽  
Outer Space ◽  
Space Vehicle ◽  
Analysis Data ◽  
Learning Task ◽  
Deep Space ◽  
Target Domain ◽  
Space Analysis ◽  
Deep Space Exploration ◽  
Amount Of Knowledge

Deep space exploration is the pillars within the field of outer space analysis and physical science. The amount of knowledge from numerous space vehicle and satellites orbiting the world of study are increasing day by day. This information collected from numerous experiences of the advanced space missions is huge. These information helps us to enhance current space knowledge and the experiences can be converted and transformed into segregated knowledge which helps us to explore and understand the realms of the deep space.. Online Transfer Learning (OTL) is a machine learning concept in which the knowledge gets transferred between the source domain and target domain in real time, in order to help train a classifier of the target domain. Online transfer learning can be an efficient method for transferring experiences and data gained from the space analysis data to a new learning task and can also routinely update the knowledge as the task evolves.

RECENT DEVELOPMENTS IN THE APPLICATION OF THE FABRY-PEROT INTERFEROMETER TO SPACE RESEARCH

1967 ◽  
Vol 28 (C2) ◽  
pp. C2-280-C2-286 ◽  
Author(s):  
D. J. BRADLEY ◽  
B. BATES ◽  
C . O. L. JUULMAN ◽  
T. KOHNO
Keyword(s):  
Space Research ◽  
Fabry Perot ◽  
Recent Developments

C. S. Lewis and the Truth about Angels

2013 ◽  
Vol 3 (2) ◽  
pp. 97-110
Author(s):  
Janice Brown
Keyword(s):  
Renaissance Literature ◽  
Scholarly Work ◽  
Deep Space ◽  
The Subject

Lewis’s perspective on angels is apparent in The Discarded Image, his scholarly work on medieval and Renaissance literature. His preface to The Screwtape Letters reveals the seriousness with which he approaches the subject: it proposes that a mistaken view of angelic beings is more dangerous than ignorance of them. The space trilogy seeks to avert that danger. In it we are confronted by angelic eldila—inscrutable and holy beings inhabiting “deep space” who relentlessly accomplish the purposes of the Almighty. Characterized by absolute goodness and archetypal charity, they are serene yet they pulsate with energy. Lewis’s intense interest in angels is further apparent in a number of his poems. Throughout his work he depicts angels as real beings, inhabiting an actual universe, who actually participate our lives. They represent mysterious eternal realities, yet they are part of God’s daily providence.

A virtual informational environment for collaborative space research project development

2005 ◽  
Vol 11 (3-4) ◽  
pp. 100-102
Author(s):  
N.M. Kussul ◽  
◽  
A.M. Lavrenyuk ◽  
A.Yu. Shelestov ◽  
O.G. Lobunets ◽  
...  
Keyword(s):  
Space Research ◽  
Project Development ◽  
Research Project ◽  
Collaborative Space ◽  
Informational Environment

Development of research and educational program for involving Ukraine's young people in space research

2006 ◽  
Vol 12 (4) ◽  
pp. 104-108
Author(s):  
A.P. Alpatov ◽  
◽  
V.S. Zevako ◽  
O.V. Pylypenko ◽  
P.P. Khorolskyi ◽  
...  
Keyword(s):  
Young People ◽  
Educational Program ◽  
Space Research
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