Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Rutuja Rajendra Patil"'
Autor:
Prerna Kulkarni, Nidhi Sarwe, Abhishek Pingale, Yash Sarolkar, Rutuja Rajendra Patil, Gitanjali Shinde, Gagandeep Kaur
Publikováno v:
MethodsX, Vol 13, Iss , Pp 103034- (2024)
Oral cancer can result from mutations in cells located in the lips or mouth. Diagnosing oral cavity squamous cell carcinoma (OCSCC) is particularly challenging, often occurring at advanced stages. To address this, computer-aided diagnosis methods are
Externí odkaz:
https://doaj.org/article/e1820ece0e1f484ebcd41bd426fbcc4f
Autor:
Rutuja Rajendra Patil, Sumit Kumar
Publikováno v:
IEEE Access, Vol 10, Pp 87698-87714 (2022)
Rice disease classification is vital during the cultivation of rice crops. However, rice diseases were initially detected by visual examination from agricultural experts. Later the detection process progressed to automation, which involved images. Th
Externí odkaz:
https://doaj.org/article/0e46bb93d2894c99b71609c062f6eaaf
Autor:
Abhay Singh, Ankush Ganesh, Rutuja Rajendra Patil, Sumit Kumar, Ruchi Rani, Sanjeev Kumar Pippal
Publikováno v:
Applied System Innovation, Vol 6, Iss 4, p 70 (2023)
Voting is a democratic process that allows individuals to choose their leaders and voice their opinions. However, the current situation with physical voting involves long queues, paper-based ballots, and security challenges. Blockchain-based voting m
Externí odkaz:
https://doaj.org/article/5fc8f4001b0e466a8aedbccc7d0b32cf
Publikováno v:
Applied System Innovation, Vol 6, Iss 1, p 27 (2023)
Agriculture has observed significant advancements since smart farming technology has been introduced.The Green Movement played an essential role in the evolution of farming methods. The use of smart farming is accelerating at an unprecedented rate be
Externí odkaz:
https://doaj.org/article/12220705c6974daab2b5eaf2ec1bd427
Autor:
Nakul Desai, Y N Sudhakar, Rutuja Rajendra Patil, Achania Chandran, Nidhin M, Ananya S Agnihotri
Publikováno v:
Materials Research Express, Vol 10, Iss 12, p 125505 (2023)
In this study, we developed a multi-layered electrode as an efficient nanocomposite electrochemical sensor for detecting carcinogenic hydrazine in water. Nano-cobalt ferrite (CoFe _2 O _4 ) was prepared using poly (vinylpyrrolidone) (PVP), mixed with
Externí odkaz:
https://doaj.org/article/4a3ed5a87b6f4a6a9f4bffb92f9fefd8
Publikováno v:
Agriculture, Vol 13, Iss 1, p 47 (2022)
The pathogens such as fungi and bacteria can lead to rice diseases that can drastically impair crop production. Because the illness is difficult to control on a broad scale, crop field monitoring is one of the most effective methods of control. It al
Externí odkaz:
https://doaj.org/article/04b8003f2e954609975ee11933f99808
Autor:
Rutuja Rajendra Patil, Sumit Kumar
Publikováno v:
PeerJ Computer Science, Vol 7, p e687 (2021)
With the aid of a plant disease forecasting model, the emergence of plant diseases in a given region can be predicted ahead of time. This makes it easier to take proactive steps to reduce losses before they occur. The proposed model attempts to find
Externí odkaz:
https://doaj.org/article/87332d0870294b64b43ccc5b84815142
Autor:
Rutuja Rajendra Patil, SUMIT KUMAR
Publikováno v:
IEEE Access, Vol 10, Pp 5207-5222 (2022)
Rice leaf infections are a common hazard to rice production, affecting many farmers all over the world. Early detection and treatment of rice leaf infection are critical for promoting healthy rice plant growth and ensuring adequate supply for the fas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb1ec87e0130468686ea4932340fdd29
https://ieeexplore.ieee.org/document/9672157/
https://ieeexplore.ieee.org/document/9672157/
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811965807
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ae872190a02f8a490e7eb4e40d30630
https://doi.org/10.1007/978-981-19-6581-4_2
https://doi.org/10.1007/978-981-19-6581-4_2
Publikováno v:
International Journal of Electrical and Computer Engineering (IJECE). 13:4633
Classification and regression tree (CART) data mining models have been used in several scientific fields for building efficient and accurate predictive models. Some of the application areas are prediction of disease, targeted marketing, and fraud det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01676c9f63c986ac2e9ed808b4fba53a
https://doi.org/10.11591/ijece.v13i4.pp4633-4639
https://doi.org/10.11591/ijece.v13i4.pp4633-4639