Zobrazeno 1 - 10
of 14 010
pro vyhledávání: '"Aravinda"'
Autor:
Widarta D.A., Widagda I G.N.J.A.
Publikováno v:
Eurasia: Economics & Business, Vol 74, Iss 8, Pp 85-94 (2023)
This study tries to clarify how trust influences repurchase intention by mediating the effects of product quality and e-women. Purposive sampling was employed in this investigation, which had a sample size of 170 participants. In this study, survey a
Externí odkaz:
https://doaj.org/article/817ca0c58ce44b8f8856de49d7a758ca
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2019 Jul 01. 116(28), 14384-14384.
Externí odkaz:
https://www.jstor.org/stable/26761026
Autor:
Davis, Tinsley H.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2019 May . 116(22), 10608-10610.
Externí odkaz:
https://www.jstor.org/stable/26707114
Together with industry experts, we are exploring the potential of head-mounted augmented reality to facilitate safety inspections on high-rise construction sites. A particular concern in the industry is inspecting perimeter safety screens on higher l
Externí odkaz:
http://arxiv.org/abs/2412.01273
Autor:
V, Rahul, Aravinda, S.
Multipartite entanglement is a fundamental aspect of quantum mechanics, crucial to advancements in quantum information processing and quantum computation. Within this field, Genuinely Multipartite Entanglement (GME), being entangled in all bipartitio
Externí odkaz:
http://arxiv.org/abs/2410.15864
Autor:
PN, Aravinda Reddy, Ramachandra, Raghavendra, Venkatesh, Sushma, Rao, Krothapalli Sreenivasa, Mitra, Pabitra, Krishna, Rakesh
Face recognition systems (FRS) can be compromised by face morphing attacks, which blend textural and geometric information from multiple facial images. The rapid evolution of generative AI, especially Generative Adversarial Networks (GAN) or Diffusio
Externí odkaz:
http://arxiv.org/abs/2410.07625
Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection
Autor:
PN, Aravinda Reddy, Ramachandra, Raghavendra, Rao, Krothapalli Sreenivasa, Rathod, Pabitra Mitra Vinod
Deepfakes pose a critical threat to biometric authentication systems by generating highly realistic synthetic media. Existing multimodal deepfake detectors often struggle to adapt to diverse data and rely on simple fusion methods. To address these ch
Externí odkaz:
http://arxiv.org/abs/2410.06543
Autor:
Jatavallabha, Aravinda
This case study delves into the ethical ramifications of an incident involving Tesla's Autopilot, emphasizing Tesla Motors' moral responsibility. Using a seven-step ethical decision-making process, it examines user behavior, system constraints, and r
Externí odkaz:
http://arxiv.org/abs/2409.17380
Understanding pedestrian behavior is crucial for the safe deployment of Autonomous Vehicles (AVs) in urban environments. Traditional pedestrian behavior models often fall into two categories: mechanistic models, which do not generalize well to comple
Externí odkaz:
http://arxiv.org/abs/2409.14522
Random coalescent processes and branching processes are two fundamental constructs in the field of stochastic processes, each with a rich history and a wide range of applications. Though developed within distinct contexts, in this note we present a n
Externí odkaz:
http://arxiv.org/abs/2409.06910