Zobrazeno 1 - 10
of 332
pro vyhledávání: '"M, Sridevi"'
Essential tasks in autonomous driving includes environment perception, detection and tracking, path planning and action control. This paper focus on path planning, which is one of the challenging task as it needs to find optimal path in highly comple
Externí odkaz:
http://arxiv.org/abs/2402.12129
Face Warping Deepfake Detection and Localization in a Digital Video using Transfer Learning Approach
Autor:
M Sridevi, Rachel Dhanaraj
Publikováno v:
Journal of Metaverse, Vol 4, Iss 1, Pp 11-20 (2024)
Generative AI (GenAI) can generate high-resolution and complex content mimicking the creativity of humans, thereby benefiting industries such as gaming, entertainment, and product design. In recent times, AI-generated fake videos, commonly referred t
Externí odkaz:
https://doaj.org/article/157651bfa9ad4f5387ba8b49d0dac512
Autor:
T, Sugirtha, M, Sridevi, Santhakumar, Khailash, Liu, Hao, Kiran, B Ravi, Gauthier, Thomas, Yogamani, Senthil
Modern object detection architectures are moving towards employing self-supervised learning (SSL) to improve performance detection with related pretext tasks. Pretext tasks for monocular 3D object detection have not yet been explored yet in literatur
Externí odkaz:
http://arxiv.org/abs/2206.12738
Publikováno v:
Results in Chemistry, Vol 9, Iss , Pp 101653- (2024)
The purpose of this article is to investigate the activation energy associated with bioconvection nano flow propagation via Riga plate with Arrhenius impact. Electricity flows through the fluid with a Lorentz force that alters in vertical direction.
Externí odkaz:
https://doaj.org/article/7903604ffc08434cb686498fb6fcc187
Autor:
T, Sugirtha, M, Sridevi, Santhakumar, Khailash, Kiran, B Ravi, Gauthier, Thomas, Yogamani, Senthil
Data augmentation is a key component of CNN based image recognition tasks like object detection. However, it is relatively less explored for 3D object detection. Many standard 2D object detection data augmentation techniques do not extend to 3D box.
Externí odkaz:
http://arxiv.org/abs/2104.10786
Publikováno v:
Computer Science Journal of Moldova, Vol 31, Iss 2(92), Pp 183-199 (2023)
Most literature on hashing functions speaks in terms of hashing functions being either ‘good’ or ‘bad’. In this paper, we demonstrate how a hashing function that gives good results for one key set, performs badly for another. We also demonstr
Externí odkaz:
https://doaj.org/article/5941d22c9149409a8e6faa894acdbab4
Autor:
Akshay Bhuvaneswari Ramakrishnan, M. Sridevi, Shriram K. Vasudevan, R. Manikandan, Amir H. Gandomi
Publikováno v:
Informatics in Medicine Unlocked, Vol 44, Iss , Pp 101436- (2024)
A brain tumour is a malignant condition that spreads extremely quickly and requires rapid detection. In recent years, it has become apparent that deep learning is a promising technique for classifying brain tumours. To identify these tumours, this wo
Externí odkaz:
https://doaj.org/article/7a55e2947eff46099711b0eb054a1806
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 16, Iss 4, Pp 2826-2835 (2022)
In search of novel endophytic bacteria capable of producing plant growth promoting phytohormones and providing tolerance against biotic and abiotic stress to the plant, present study was carried out during 2021-22. For this, endophytic bacteria were
Externí odkaz:
https://doaj.org/article/e72d22abb2d542fc93fa5943f682478c
Autor:
Madichetty, Sreenivasulu, M., Sridevi
Publikováno v:
In Future Generation Computer Systems March 2021 116:440-454
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 7, Iss 1, Pp 1-11 (2021)
Abstract Background In modern therapeutics, various human pathological disturbances were treated with the plant-based products. Waltheria indica Linn, a perennial herb, was commonly used in traditional medicine worldwide against various ailments such
Externí odkaz:
https://doaj.org/article/c58058f96ca249c8974eb8ab4fe55fab