Zobrazeno 1 - 10
of 47 436
pro vyhledávání: '"A. KARTHIKEYAN"'
Autor:
V. Abilasha, A. Karthikeyan
Publikováno v:
IEEE Access, Vol 12, Pp 161185-161202 (2024)
Cognitive Radio Sensor Network (CRSN) provides effective utilization of spectrum, using dynamic spectrum allocation that incorporates multi-hop clustering and routing algorithms for energy-efficient data delivery. The existing clustering and routing
Externí odkaz:
https://doaj.org/article/45b6f9e3d927493b8b789e5c041f08e1
Autor:
T. R. Dinesh Kumar, A. Karthikeyan
Publikováno v:
Automatika, Vol 64, Iss 4, Pp 1280-1295 (2023)
3D ICs, a novel technology, might significantly impact multicore NoCs with hundreds or thousands of processing components on a single chip. Multiple 2D chips can be stacked vertically to create multiple active processing elements at various levels. A
Externí odkaz:
https://doaj.org/article/3c4e7e75a03e4ff88a7df22032d035e5
Publikováno v:
Measurement: Sensors, Vol 31, Iss , Pp 100976- (2024)
With the development of targeted therapies, many treatments are based on molecular studies, which require sampling tumor tissue from paraffin blocks for sequencing. An automated solution could potentially reduce the workload of pathologists by acting
Externí odkaz:
https://doaj.org/article/63c5482490f34984bf500c5593052cec
Autor:
A. Karthikeyan, A. Kalpana
Publikováno v:
Journal of Natural Fibers, Vol 19, Iss 16, Pp 15202-15212 (2022)
This paper investigates the influence of fiber length and fiber surface modification on the flexural properties of coir fiber-reinforced epoxy composites. The fiber lengths and concentration of sodium hydroxide (NaOH) solution for fiber treatment are
Externí odkaz:
https://doaj.org/article/7f966ea9a4264e53b5048b73f79b6384
Our work aims to minimize interaction in secure computation due to the high cost and challenges associated with communication rounds, particularly in scenarios with many clients. In this work, we revisit the problem of secure aggregation in the singl
Externí odkaz:
http://arxiv.org/abs/2410.22303
Autor:
Dasgupta, Arpan, Jain, Gagan, Suggala, Arun, Shanmugam, Karthikeyan, Tambe, Milind, Taneja, Aparna
Mobile health (mHealth) programs face a critical challenge in optimizing the timing of automated health information calls to beneficiaries. This challenge has been formulated as a collaborative multi-armed bandit problem, requiring online learning of
Externí odkaz:
http://arxiv.org/abs/2410.21405
Mechanistic interpretability aims to provide human-understandable insights into the inner workings of neural network models by examining their internals. Existing approaches typically require significant manual effort and prior knowledge, with strate
Externí odkaz:
http://arxiv.org/abs/2410.16484
Autor:
Mukherjee, Arpan, Ubaru, Shashanka, Murugesan, Keerthiram, Shanmugam, Karthikeyan, Tajer, Ali
This paper considers the problem of combinatorial multi-armed bandits with semi-bandit feedback and a cardinality constraint on the super-arm size. Existing algorithms for solving this problem typically involve two key sub-routines: (1) a parameter e
Externí odkaz:
http://arxiv.org/abs/2410.10679
With the boom of machine learning (ML) techniques, software practitioners build ML systems to process the massive volume of streaming data for diverse software engineering tasks such as failure prediction in AIOps. Trained using historical data, such
Externí odkaz:
http://arxiv.org/abs/2410.09190
We propose a novel mechanism, dark matter internal pair production (DIPP), to detect dark matter candidates at beam dump facilities. When energetic dark matter scatters in a material, it can create a lepton-antilepton pair by exchanging a virtual pho
Externí odkaz:
http://arxiv.org/abs/2410.07624