Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Santosh, Pawar"'
Publikováno v:
Cybernetics and Systems. :1-12
Publikováno v:
Cybernetics and Systems. :1-15
Publikováno v:
AI and IoT-based Intelligent Health Care & Sanitation ISBN: 9789815136531
Nowadays, an image must be verified or analyzed keenly for further processing methods. Few numbers of images can be analyzed manually for a particular object or a human being. But when millions and millions of images are present in a dataset, and eve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19299fcd03ccd9ab28796c45db08fc7f
https://doi.org/10.2174/9789815136531123010016
https://doi.org/10.2174/9789815136531123010016
The demand for distributed computing administration has increased due to the cloud's high degree of change and adaptability. To address this, the electrical energy efficiency of cloud server farms needs to be improved more. This proposal suggests and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3028bac99c2b34c18c987103b252f1ab
The major purpose of this study is to evaluate whether a Deep Learning (DL) model can perform better in image processing when it comes to identifying the presence of a disease in a pomegranate leaf.For this, a collection of 559 images from the Mendel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::485825bec4d7b875bf97d2c71aba6d03
Publikováno v:
2022 5th International Conference on Contemporary Computing and Informatics (IC3I).
Publikováno v:
2022 Smart Technologies, Communication and Robotics (STCR).
Publikováno v:
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC).
Autor:
Om Prakash Singh, Dr. Santosh Pawar
Publikováno v:
IARJSET. 8:221-225
Autor:
Santosh Pawar, P. Lokeshwara Reddy
Publikováno v:
Materials Today: Proceedings. 33:4666-4670
The Multispectral images appear to give a more true representation of real-world scenes to improve the efficiency of many tasks involving computer vision and object extraction, identification and quantification, tagging operations and imagery segment