Zobrazeno 1 - 10
of 16 008
pro vyhledávání: '"A. Srinath"'
Publikováno v:
Frattura ed Integrità Strutturale, Vol 18, Iss 70 (2024)
This study examines the influence of graphene nanoplatelets (GNPs) and multi-walled carbon nanotubes (MWCNTs) on the mechanical properties of SiO2-loaded epoxy-polylactic acid (PLA) composites. Epoxy and PLA were mixed to form the matrix with fillers
Externí odkaz:
https://doaj.org/article/3459d64b5f8f4f45bf3ce0f8ba495dd9
Autor:
K. Dileep, A. Srinath
Publikováno v:
Frattura ed Integrità Strutturale, Vol 17, Iss 64, Pp 229-239 (2023)
This work investigated the effects of graphene and SiO2 addition on the mechanical and fracture properties of epoxy (80%) � Poly Lactic acid (PLA) (20 %) composites. Epoxy-PLA composites were loaded with graphene and SiO2 (0.1-0.5 wt. % with equal
Externí odkaz:
https://doaj.org/article/0fdfb5f95c0d49f9908976a0441c150c
Gathering visual information effectively to monitor known environments is a key challenge in robotics. To be as efficient as human surveyors, robotic systems must continuously collect observational data required to complete their survey task. Inspect
Externí odkaz:
http://arxiv.org/abs/2408.12513
Current and future trends in computer hardware, in which the disparity between available flops and memory bandwidth continues to grow, favour algorithm implementations which minimise data movement even at the cost of more flops. In this study we revi
Externí odkaz:
http://arxiv.org/abs/2408.07436
The ability to quantify how well an action is carried out, also known as action quality assessment (AQA), has attracted recent interest in the vision community. Unfortunately, prior methods often ignore the score rubric used by human experts and fall
Externí odkaz:
http://arxiv.org/abs/2408.02138
Autor:
Rai, Aashish, Sridhar, Srinath
We introduce EgoSonics, a method to generate semantically meaningful and synchronized audio tracks conditioned on silent egocentric videos. Generating audio for silent egocentric videos could open new applications in virtual reality, assistive techno
Externí odkaz:
http://arxiv.org/abs/2407.20592
Next-generation wireless networks aim to deliver data speeds much faster than 5G. This requires base stations with lots of antennas and a large operating bandwidth. These advanced base stations are expected to serve several multiantenna user-equipmen
Externí odkaz:
http://arxiv.org/abs/2407.16483
Improving the reliability and spectral efficiency of wireless systems is a key goal in wireless systems. However, most efforts have been devoted to improving data channel capacity, whereas control-plane capacity bottlenecks are often neglected. In th
Externí odkaz:
http://arxiv.org/abs/2407.16319
The ability to efficiently explore high-dimensional state spaces is essential for the practical success of deep Reinforcement Learning (RL). This paper introduces a new exploration technique called Random Latent Exploration (RLE), that combines the s
Externí odkaz:
http://arxiv.org/abs/2407.13755
Autor:
Buturovic, Ljubomir, Mayhew, Michael, Luethy, Roland, Choi, Kirindi, Midic, Uros, Damaraju, Nandita, Hasin-Brumshtein, Yehudit, Pratap, Amitesh, Adams, Rhys M., Fonseca, Joao, Srinath, Ambika, Fleming, Paul, Pereira, Claudia, Liesenfeld, Oliver, Khatri, Purvesh, Sweeney, Timothy
We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosis of acute infections and sepsis in emergency departments. Our solution consists of a Myrna (TM) Instrument and embedded TriVerity (TM) classifiers. The
Externí odkaz:
http://arxiv.org/abs/2407.02737