Výsledky vyhledávání - "M Punithavalli"

Akademický článek

CLASSIFICATION OF CERVICAL CANCER IN WOMEN USING CONVOLUTIONAL NEURAL NETWORK

Autor: M Ramkumar, R Manikandan, M Punithavalli, V S Akshaya, Shanmugaraj Madasamy

Publikováno v: ICTACT Journal on Image and Video Processing, Vol 11, Iss 4, Pp 2470-2474 (2021)

Cervical cancer is regarded as a serious threats to humanity, globally and this is a vital disease with huge spreading of virus that affects the health of humans. The virus is spreading at a rapid rate through mosquitoes that even may kill the one wh

Externí odkaz: https://doaj.org/article/3e63b3a6f94e4b4187c16dcaafc730f2

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Spatial Distribution of Proteinase Inhibitors among Diverse Groups of Sugarcane and their Interaction with Sugarcane Borers

Autor: M Punithavalli

Publikováno v: Indian Journal of Entomology. :1-4

Profiling of proteinase inhibitors (PIs) was done on the diverse group of sugarcane viz., exotic clones, hybrids and Erianthus arundinaceus. Their inhibitory activity against commercial trypsin enzyme and midgut protease of sugarcane borers was inves

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2f52dc17ba84a8c76903c489ec6dd39c
https://doi.org/10.55446/ije.2021.319

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Stress emotion classification using optimized convolutional neural network for online transfer learning dataset

Autor: G, Linda Rose, M, Punithavalli

Publikováno v: Computer Methods in Biomechanics and Biomedical Engineering. 25:1576-1587

Nowadays, deep learning methods with transfer learning (TL) makes ease of stress emotion classification tasks. Amongst, an optimized convolutional neural network with TL (OCNNTL) executes OCNN-based classification on emotion and stress data domains t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fce1171bafb9e59ffc0b26065e6210bb
https://doi.org/10.1080/10255842.2021.2024169

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Curriculum 4.0 for Incorporating Industry 4.0 Tools in Higher Education

Autor: P. Kaliraj, T. Devi, V. Bhuvaneswari, T. Amudha, R. Rajeswari, J. Satheeshkumar, M. Punithavalli, S. Sarala

Publikováno v: Industry 4.0 Technologies for Education ISBN: 9781003318378

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::94eb9b590af7aac00fcc9a665a561af8
https://doi.org/10.1201/9781003318378-15

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Defensive responses of Erianthus arundinaceus against sugarcane shoot borer, Chilo infuscatellus (Snellen) (Crambidae: Lepidoptera)

Autor: A. Jebamalaimary, M. Punithavalli, K. P. Salin

Publikováno v: International Journal of Pest Management. :1-11

A total of eight field screened Erianthus arundinaceus genotypes against sugarcane shoot borer, Chilo infuscatellus was further screened under laboratory conditions along with a ruling variety Co 8...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::30e1a9b8ad69751f34d3c057be8c3e42
https://doi.org/10.1080/09670874.2021.1980243

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Akademický článek

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A Review of Deep Learning and Machine Learning Methods for Analyzing Covid-19 Stress

Autor: V.Suganthi, Dr. M. Punithavalli

The COVID-19 (C-19) pervasive had impacted negatively on environmental health in a number of nations, with a substantial number of cases and deaths reported to far. C-19 produces not only serious bodily issues, but also a range of psychiatric disease

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba9b2300c930281ff8edebe8c6df3c56

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