Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Prabira Kumar Sethy"'
Autor:
Aradhana Soni, Prabira Kumar Sethy, Amit Kumar Dewangan, Aziz Nanthaamornphong, Santi Kumari Behera, Baishnu Devi
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Problem Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer globally, leading to the loss of structural integrity within the oral cavity layers and membranes. Despite its high prevalence, early diagnosis is crucial for ef
Externí odkaz:
https://doaj.org/article/ba23bd76a23d4bd0a86027b1513a82a6
Autor:
Gyana Ranjana Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera, Manoj Gupta, Farhan A. Alenizi, Aziz Nanthaamornphong
Publikováno v:
IEEE Access, Vol 12, Pp 88913-88926 (2024)
This paper introduces an innovative methodology to disrupt deep-learning (DL) surveillance systems by implementing an adversarial framework strategy, inducing misclassification in live video objects and extending attacks to real-time models. Focusing
Externí odkaz:
https://doaj.org/article/f653a224d1784682b5fac07207476be2
Autor:
Gyana Ranjana Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera, Manoj Gupta, Farhan A. Alenizi, Pannee Suanpang, Aziz Nanthaamornphong
Publikováno v:
IEEE Access, Vol 12, Pp 83043-83056 (2024)
Contemporary culture presents a substantial obstacle for cyber security experts in the shape of software vulnerabilities, which, if taken advantage of, can jeopardize the Confidentiality, Integrity, and Availability (CIA) of any system. Data-driven a
Externí odkaz:
https://doaj.org/article/5918fd4439814bc8bccff76e10edfbb5
Autor:
Nabin Kumar Naik, M. Venkata Subbarao, Prabira Kumar Sethy, Santi Kumari Behera, Gyana Ranjan Panigrahi
Publikováno v:
Journal of Agriculture and Food Research, Vol 18, Iss , Pp 101397- (2024)
Rice, which has the highest production and consumption rates worldwide, is one of the main nutrients in our country because it is economical and nutritious. Rice undergoes various stages of production from the field to the dinner tables, with the cle
Externí odkaz:
https://doaj.org/article/aa245e8ab7d84fbf82f3100522d2038b
Publikováno v:
Journal of Agriculture and Food Research, Vol 15, Iss , Pp 100943- (2024)
Automatic identification of Indian lentils requires the selection of a suitable classification model among various CNN models. The CNN models are the most effective for image classification. However, more than one CNN model occasionally performs clos
Externí odkaz:
https://doaj.org/article/0e3b43cc16c24d428bd6b5edd0dc014a
Publikováno v:
Journal of Agriculture and Food Research, Vol 15, Iss , Pp 100929- (2024)
Rice (Oryza sativa) is extensively taken and sold throughout the world. The most common primitive paddy are Goswami, Jamuna, Jamut, Mamata, Pooja, Rambanbas, Sanghmitra, Sanjeevani, Sadhana, and Sannasriya. The primary objective of this study is to e
Externí odkaz:
https://doaj.org/article/7b6f9e9ed4084ee88a31e84c035113cd
Publikováno v:
Journal of Agriculture and Food Research, Vol 14, Iss , Pp 100824- (2023)
In recent times, maize diseases have become widespread globally, adversely impacting agricultural productivity and causing significant financial losses. Recognizing these diseases in maize leaves presents formidable challenges due to the complexities
Externí odkaz:
https://doaj.org/article/b0946711a3f5433785ae6f451c70210f
Publikováno v:
Cancer Informatics, Vol 22 (2023)
The second most frequent malignancy in women worldwide is cervical cancer. In the transformation(transitional) zone, which is a region of the cervix, columnar cells are continuously converting into squamous cells. The most typical location on the cer
Externí odkaz:
https://doaj.org/article/eb70a68719914db0ac2a1d873936b19f
Publikováno v:
Informatics in Medicine Unlocked, Vol 42, Iss , Pp 101363- (2023)
Maize stalk rot infection is one of the most important causes of production loss in some regions of India. However, it is difficult to diagnose maize disease on a wide scale due to a lack of human competency and limitations in standard image-recognit
Externí odkaz:
https://doaj.org/article/35101e240d4a42a6911f879b432219d2
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 15, Pp 1388-1406 (2021)
Accurate prediction of crop prices assists farmers to decide the best time to sell their produce so as to get maximum benefit and assists Government for post-harvest storage and management of the produce so as to stabilize the price volatility throug
Externí odkaz:
https://doaj.org/article/8a69046a673f4a98ad19442cce021ee9