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Recent Trends in Image Processing and Pattern Recognition - Third International Conference, RTIP2R 2020, Aurangabad, India, January 3-4, 2020, Revised Selected Papers, Part I (Paperback, 1st ed. 2021)
K. C. Santosh, Bharti Gawali
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R3,092
Discovery Miles 30 920
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Ships in 10 - 15 working days
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This two-volume set constitutes the refereed proceedings of the
Third International Conference on Recent Trends in Image Processing
and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India,
in January 2020.The 78 revised full papers presented were carefully
reviewed and selected from 329 submissions. The papers are
organized in topical sections in the two volumes. Part I: Computer
vision and applications; Data science and machine learning;
Document understanding and Recognition. Part II: Healthcare
informatics and medical imaging; Image analysis and recognition;
Signal processing and pattern recognition; Image and signal
processing in Agriculture.
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Recent Trends in Image Processing and Pattern Recognition - Third International Conference, RTIP2R 2020, Aurangabad, India, January 3-4, 2020, Revised Selected Papers, Part II (Paperback, 1st ed. 2021)
K. C. Santosh, Bharti Gawali
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R1,612
Discovery Miles 16 120
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Ships in 10 - 15 working days
|
This two-volume set constitutes the refereed proceedings of the
Third International Conference on Recent Trends in Image Processing
and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India,
in January 2020.The 78 revised full papers presented were carefully
reviewed and selected from 329 submissions. The papers are
organized in topical sections in the two volumes. Part I: Computer
vision and applications; Data science and machine learning;
Document understanding and Recognition. Part II: Healthcare
informatics and medical imaging; Image analysis and recognition;
Signal processing and pattern recognition; Image and signal
processing in Agriculture.
Weather forecasting and climate behavioral analysis have
traditionally been done using complicated physics models and
accompanying atmospheric variables. However, the traditional
approaches lack common tools, which can lead to incomplete
information about the weather and climate conditions, in turn
affecting the prediction accuracy rate. To address these problems,
the advanced technological aspects through the spectrum of
artificial intelligence of things (AIoT) models serve as a budding
solution. Further study on artificial intelligence of things and
how it can be utilized to improve weather forecasting and climatic
behavioral analysis is crucial to appropriately employ the
technology. Artificial Intelligence of Things for Weather
Forecasting and Climatic Behavioral Analysis discusses practical
applications of artificial intelligence of things for
interpretation of weather patterns and how weather information can
be used to make critical decisions about harvesting, aviation, etc.
This book also considers artificial intelligence of things issues
such as managing natural disasters that impact the lives of
millions. Covering topics such as deep learning, remote sensing,
and meteorological applications, this reference work is ideal for
data scientists, industry professionals, researchers, academicians,
scholars, practitioners, instructors, and students.
Weather forecasting and climate behavioral analysis have
traditionally been done using complicated physics models and
accompanying atmospheric variables. However, the traditional
approaches lack common tools, which can lead to incomplete
information about the weather and climate conditions, in turn
affecting the prediction accuracy rate. To address these problems,
the advanced technological aspects through the spectrum of
artificial intelligence of things (AIoT) models serve as a budding
solution. Further study on artificial intelligence of things and
how it can be utilized to improve weather forecasting and climatic
behavioral analysis is crucial to appropriately employ the
technology. Artificial Intelligence of Things for Weather
Forecasting and Climatic Behavioral Analysis discusses practical
applications of artificial intelligence of things for
interpretation of weather patterns and how weather information can
be used to make critical decisions about harvesting, aviation, etc.
This book also considers artificial intelligence of things issues
such as managing natural disasters that impact the lives of
millions. Covering topics such as deep learning, remote sensing,
and meteorological applications, this reference work is ideal for
data scientists, industry professionals, researchers, academicians,
scholars, practitioners, instructors, and students.
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