Zobrazeno 1 - 10
of 21 411
pro vyhledávání: '"P Murali"'
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 93, Iss 7 (2023)
A field experiment was conducted at Tamil Nadu Agricultural University, Coimbatore during kharif (rainy) and rabi (winter) seasons of 2022 and 2023 to evaluate the efficiency, energy and economics of drone-based herbicide application in direct-seeded
Externí odkaz:
https://doaj.org/article/0cc6c9f7f3d447d7b894f13371cad76e
Autor:
NARAYANASWAMY JEEVAN, SELLAPERUMAL PAZHANIVELAN, RAMALINGAM KUMARAPERUMAL, KALIAPERUMAL RAGUNATH, P MURALI ARTHANARI, N SRITHARAN, A KARTHIKKUMAR, S MANIKANDAN
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 93, Iss 7 (2023)
A field experiment was conducted at the Agricultural Research Station, Tamil Nadu Agricultural University, Bhavanisagar, during 2021–23 to study the effect of spray volume (SV) on deposition characteristics of a fuel-operated UAV sprayer (25 L/ha,
Externí odkaz:
https://doaj.org/article/230b7d1b2a7a493d94ce82c151c80beb
Publikováno v:
SRM Journal of Research in Dental Sciences, Vol 13, Iss 3, Pp 109-114 (2022)
Background: The process of tooth eruption is influenced by local, systemic, and genetic factors. Any disturbances in these factors might lead to abnormalities in the eruption of the tooth. Aim: The aim of this narrative review is to classify and disc
Externí odkaz:
https://doaj.org/article/33b4845342a64f579c5f1aa715918ef9
Autor:
Chitty-Venkata, Krishna Teja, Raskar, Siddhisanket, Kale, Bharat, Ferdaus, Farah, Tanikanti, Aditya, Raffenetti, Ken, Taylor, Valerie, Emani, Murali, Vishwanath, Venkatram
Large Language Models (LLMs) have propelled groundbreaking advancements across several domains and are commonly used for text generation applications. However, the computational demands of these complex models pose significant challenges, requiring e
Externí odkaz:
http://arxiv.org/abs/2411.00136
Autor:
Zhang, Chaoyun, Yao, Randolph, Qin, Si, Li, Ze, Agrawal, Shekhar, Mishra, Binit R., Tran, Tri, Ma, Minghua, Lin, Qingwei, Chintalapati, Murali, Zhang, Dongmei
The presence of unhealthy nodes in cloud infrastructure signals the potential failure of machines, which can significantly impact the availability and reliability of cloud services, resulting in negative customer experiences. Effectively addressing u
Externí odkaz:
http://arxiv.org/abs/2410.17709
Autor:
Huang, Huang, Sundaralingam, Balakumar, Mousavian, Arsalan, Murali, Adithyavairavan, Goldberg, Ken, Fox, Dieter
Running optimization across many parallel seeds leveraging GPU compute have relaxed the need for a good initialization, but this can fail if the problem is highly non-convex as all seeds could get stuck in local minima. One such setting is collision-
Externí odkaz:
http://arxiv.org/abs/2410.16727
As cloud-based ML expands, ensuring data security during training and inference is critical. GPU-based Trusted Execution Environments (TEEs) offer secure, high-performance solutions, with CPU TEEs managing data movement and GPU TEEs handling authenti
Externí odkaz:
http://arxiv.org/abs/2410.15240
In this work, we consider the problem of learning end to end perception to control for ground vehicles solely from aerial imagery. Photogrammetric simulators allow the synthesis of novel views through the transformation of pre-generated assets into n
Externí odkaz:
http://arxiv.org/abs/2410.14177
When annotators disagree, predicting the labels given by individual annotators can capture nuances overlooked by traditional label aggregation. We introduce three approaches to predicting individual annotator ratings on the toxicity of text by incorp
Externí odkaz:
http://arxiv.org/abs/2410.12217
Autor:
Abreu, Rui, Murali, Vijayaraghavan, Rigby, Peter C, Maddila, Chandra, Sun, Weiyan, Ge, Jun, Chinniah, Kaavya, Mockus, Audris, Mehta, Megh, Nagappan, Nachiappan
Release engineering has traditionally focused on continuously delivering features and bug fixes to users, but at a certain scale, it becomes impossible for a release engineering team to determine what should be released. At Meta's scale, the responsi
Externí odkaz:
http://arxiv.org/abs/2410.06351