Zobrazeno 1 - 10
of 58
pro vyhledávání: '"K, Karunakar A"'
The recent and rapid growth in Unmanned Aerial Vehicles (UAVs) deployment for various computer vision tasks has paved the path for numerous opportunities to make them more effective and valuable. Object detection in aerial images is challenging due t
Externí odkaz:
http://arxiv.org/abs/2203.10194
Publikováno v:
IEEE Access, Vol 12, Pp 140699-140714 (2024)
This research article presents an in-depth empirical study and optimization approach for enhancing person detection in UAV (Unmanned Aerial Vehicle) color images. The study focuses on fine-tuning the state-of-the-art object detection algorithms, main
Externí odkaz:
https://doaj.org/article/080ae55ce384422c8df19cc758370512
Autor:
Karthik K Karunakar, Punniyakoti V Thanikachalam, Swetha M Dhanalakshmi, Prashant Kesharwani, Binoy Varghese Cheriyan
Publikováno v:
Pharmacological Research - Modern Chinese Medicine, Vol 10, Iss , Pp 100410- (2024)
Introduction: Gentamicin (GEN) is a nephrotoxic aminoglycoside antibiotic, Hinokitiol, also known as (sng yóu chn) in traditional Chinese medicine (TCM), is a natural substance derived from the wood of certain coniferous trees, whereas hinokitiol (H
Externí odkaz:
https://doaj.org/article/616ab4202cb2437495012a116e49e8ec
Publikováno v:
In Biotechnology Notes 2024 5:64-79
Autor:
Siva Ganesh Malla, Heybet Kılıç, Shreyas Kalantri, Musa Yilmaz, B. K. Karunakar Rao, Kumar B. M. Kiran, M. Emin Asker
Publikováno v:
Renewable Resources and Energy Management ISBN: 9781003361312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e9e355f0808224601b069402befff48
https://doi.org/10.1201/9781003361312-15
https://doi.org/10.1201/9781003361312-15
Publikováno v:
The Visual Computer. 39:557-567
Automated crowd behaviour analysis and monitoring is a challenging task due to the unpredictable nature of the crowd within a particular scene and across different scenes. The prior knowledge of the type of scene under consideration is a crucial mid-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8fc524d6a7a8e59e737134e4953075c
https://doi.org/10.1007/s00371-021-02356-3
https://doi.org/10.1007/s00371-021-02356-3
Autor:
Shavantrevva Bilakeri, A. K. Karunakar
Publikováno v:
Proceedings of International Conference on Data Science and Applications ISBN: 9789811966330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::521e4f62923ee1585c891cfbb4578871
https://doi.org/10.1007/978-981-19-6634-7_31
https://doi.org/10.1007/978-981-19-6634-7_31
Publikováno v:
Pattern Recognition Letters. 150:17-25
Identification of image provenance is one of the crucial tasks to be tackled in the field of image forensics. Due to the rapid growth in technology, a huge amount of digital images are shared among users through social networks which facilitates many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c2307b790dbe5f4dcfdde5864986971
https://doi.org/10.1016/j.patrec.2021.06.019
https://doi.org/10.1016/j.patrec.2021.06.019
Publikováno v:
Human-Centric Smart Computing ISBN: 9789811954023
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2562df0daead8d97de52a27fbe2306d3
https://doi.org/10.1007/978-981-19-5403-0_26
https://doi.org/10.1007/978-981-19-5403-0_26
Publikováno v:
Information and Communication Technology for Competitive Strategies (ICTCS 2021) ISBN: 9789811900945
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::264faff657a25374759efa0b55382683
https://doi.org/10.1007/978-981-19-0095-2_31
https://doi.org/10.1007/978-981-19-0095-2_31