Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Supriya Addanke"'
Publikováno v:
International Journal of Reliable and Quality E-Healthcare. 11:1-18
Any human face image expression naturally identifies expressions of happy, sad etc.; sometimes human facial image expression recognition is complex, and it is a combination of two emotions. The existing literature provides face emotion classification
Publikováno v:
International Journal on Recent and Innovation Trends in Computing and Communication. 10:88-95
Advancements in IoT-based applications have become the cutting-edge technology among researchers due to the wide availability of the Internet. In order to make the application more user-friendly, Android-based and Web-based technologies have become i
Publikováno v:
2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).
Autor:
Supriya Addanke, Mangalapalli Vamsi Krishna, Pradeep K V, Khel Prakash Jayant, Karlygash Ilyassova, Kalya Lakshmi Sainath
Publikováno v:
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI).
Autor:
Karan Singh Gill, Aiman Assvlbekova, Supriya Addanke, Amaresh Jha, Isa Mishra, Lvazzat Nurkusheva
Publikováno v:
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS).
Publikováno v:
Advances in Wireless Technologies and Telecommunication
House price predictions are a crucial reflection of the economy; sometimes house prices include the land prices and demand of the place and location. The house price and land price are two different things, but both are important for both buyers and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcd1926c89b5fea22d023fabd49b55da
https://doi.org/10.4018/978-1-7998-7685-4.ch005
https://doi.org/10.4018/978-1-7998-7685-4.ch005
Publikováno v:
Advances in Wireless Technologies and Telecommunication
This chapter introduces the novel approach in deep learning for diabetes prediction. The related work described the various ML algorithms in the field of diabetic prediction that has been used for early detection and post examination of the diabetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2656a75f43c745b24ae81017aa432d96
https://doi.org/10.4018/978-1-7998-7685-4.ch007
https://doi.org/10.4018/978-1-7998-7685-4.ch007