Zobrazeno 1 - 10 of 149 pro vyhledávání: '"M. Punithavalli"'
1
Akademický článek
A reappraisal of internode borer (Chilo sacchariphagus indicus) impact on sugarcane
Autor: J Srikanth, N Geetha, M. Punithavalli, P. Mahesh, L. Saravanan, B. Singaravelu, K P Salin, C. Yogambal
Publikováno v: Journal of Sugarcane Research, Vol 12, Iss 1 (2023)
Damage due to internode borer Chilo sacchariphagus indicus (Kapur) (Lepidoptera: Crambidae) in sugarcane (cv Co 86032) was assessed at harvest in three crop seasons (2019-2022). Attacked canes were segregated into seven infestation categories based o
Externí odkaz: https://doaj.org/article/29dcc629413443e2b49f58ebcd3db0fa
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2
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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3
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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4
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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6
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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7
Akademický článek
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8
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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10
A field-release device and protocol for dispensing cocoons of Cotesia flavipes against sugarcane borers
Autor: R. Jayanthi, K. P. Salin, J. Srikanth, M. Punithavalli, K. Subadra Bai, P. Mahesh
Publikováno v: Phytoparasitica. 48:785-800
A field-liberation technique for cocoons of the parasitoid Cotesia flavipes Cameron (Hymenoptera: Braconidae) against sugarcane borers was developed in two stages: (i) laboratory standardization of a gravimetric method to enumerate cocoons for field
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da0348e0e25eda597e8664e5166cb8f2
https://doi.org/10.1007/s12600-020-00827-2
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