Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Sachin B. Jadhav"'
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 16, Iss 3, Pp LC06-LC10 (2022)
Introduction: To mitigate an inevitable phenomenon of population ageing, which has impact on nation’s development as well as on quality of life of population, health seeking behaviour and health service utilisation need to be increased, especially
Externí odkaz:
https://doaj.org/article/116ea7dab7304191b997013d5727d0cf
Autor:
Shivshakti D Pawar, Jayashri D Naik, Priya Prabhu, Gajanan M Jatti, Sachin B Jadhav, B K Radhe
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 6, Iss 1, Pp 120-125 (2017)
Context: India is currently becoming capital for diabetes mellitus. This significantly increasing incidence of diabetes putting an additional burden on health care in India. Unfortunately, half of diabetic individuals are unknown about their diabetic
Externí odkaz:
https://doaj.org/article/6205ba023af84454840dbfdd7c8b746e
Autor:
Sachin B Jadhav
Publikováno v:
MedPulse International Journal of Community Medicine. 18:24-30
Background: Hypertension is a leading risk factor for cardiovascular diseases. WHO has drawn attention to the fact that, Hypertension and related cardiovascular diseases are our modern epidemic. This contributes to high morbidity, cardiovascular disa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe26858d155a827bc2f768830557ce4
https://doi.org/10.26611/10111823
https://doi.org/10.26611/10111823
Publikováno v:
International Journal of Information Technology. 13:2461-2470
Plant pathologists desire an accurate and reliable soybean plant disease diagnosis system. In this study, we propose an efficient soybean diseases identification method based on a transfer learning approach by using pretrained AlexNet and GoogleNet c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1751c664785496fae4de771ad97f8fe4
https://doi.org/10.1007/s41870-020-00437-5
https://doi.org/10.1007/s41870-020-00437-5
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811679841
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f0e5f31f51003bf484fde877216b228
https://doi.org/10.1007/978-981-16-7985-8_75
https://doi.org/10.1007/978-981-16-7985-8_75
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030518585
In this work, a novel soybean leaf disease classification technique related to pre-trained GoogleNet deep convolutional neural networks (CNN) architecture proposed. The proposed GoogleNet architecture trained on a database of 550 image samples of unh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55bea758b125021584f1a232dc9d2392
https://doi.org/10.1007/978-3-030-51859-2_68
https://doi.org/10.1007/978-3-030-51859-2_68
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030518585
This paper exhibits the detection and classification framework of soybean leaflet diseases. Identification and classification were performed utilizing an k-means algorithm and a multiclass support vector machine (SVM). Healthy and unhealthy leaflets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a627e6def7767ab238c0f85c21c2c67
https://doi.org/10.1007/978-3-030-51859-2_65
https://doi.org/10.1007/978-3-030-51859-2_65
Autor:
Sachin B Jadhav, Jayashri D Naik, Gajanan M Jatti, B K Radhe, Priya Prabhu, Shivshakti D Pawar
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 6, Iss 1, Pp 120-125 (2017)
Journal of Family Medicine and Primary Care
Journal of Family Medicine and Primary Care
Context: India is currently becoming capital for diabetes mellitus. This significantly increasing incidence of diabetes putting an additional burden on health care in India. Unfortunately, half of diabetic individuals are unknown about their diabetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ee84e19ea105433f830a5d7c4a456bb
http://www.jfmpc.com/article.asp?issn=2249-4863
http://www.jfmpc.com/article.asp?issn=2249-4863
Soybean fungal diseases such as Blight, Frogeye leaf spot and Brown Spot are a significant threat to soybean plant due to the severe symptoms and lack of treatments. Traditional diagnosis of the thease diseases relies on disease symptom identificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f104bb7ee8c0392b0da5586d425271f1
https://zenodo.org/record/4072417
https://zenodo.org/record/4072417
Publikováno v:
IAES International Journal of Artificial Intelligence (IJ-AI). 8:328
Plant pathologists desire soft computing technology for accurate and reliable diagnosis of plant diseases. In this study, we propose an efficient soybean disease identification method based on a transfer learning approach by using a pre-trained convo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80867b292bd16c9c93e20c6e2a8ef160
https://doi.org/10.11591/ijai.v8.i4.pp328-341
https://doi.org/10.11591/ijai.v8.i4.pp328-341