Zobrazeno 1 - 10
of 136 794
pro vyhledávání: '"Pradeep BE"'
Publikováno v:
IET Wireless Sensor Systems, Vol 14, Iss 5, Pp 181-194 (2024)
Abstract The 5G‐enabled sensor network systems make it possible to connect cyber and real ‘things’ in many ways. Even so, the flow of data between 5G‐enabled sensor devices brings big data environment problems, such as huge amounts of data, d
Externí odkaz:
https://doaj.org/article/07282bcc02eb4fccae9fd184d4df3d56
Autor:
Saurabh Dawra, Pradeep Behl, Sharad Srivastava, Manish Manrai, Alok Chandra, Anupam Kumar, Ankit Kumar, Manveer Singh Tevatia
Publikováno v:
The Egyptian Journal of Internal Medicine, Vol 35, Iss 1, Pp 1-9 (2023)
Abstract The spectrum of gastrointestinal (GI) issues in the older population varies from common physiological age-related changes to devastating, less common sinister pathological illness. GI system has direct exposure to external environment. Thus,
Externí odkaz:
https://doaj.org/article/f3e3ddc7d3ca4dd3a4170c8638d2863e
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 6, Iss 5, Pp 1391-1405 (2021)
Eigen-frequencies (EF) of non–radial modes (NRM) of pulsations of differentially rotating (D R) and tidally distorted (T D) stellar models by considering the effect of mass variation (MV) on its equi-potentials surfaces inside a star. The method ut
Externí odkaz:
https://doaj.org/article/acfa3d8861a64d8c964c23fb2f84e76d
Recent advances have demonstrated that large language models (LLMs) excel as listwise rerankers, but their high computational demands remain a barrier to widespread adoption. Further, the traditional language modeling (LM) objective is not ideally su
Externí odkaz:
http://arxiv.org/abs/2411.05508
Autor:
Pakkiam, Prasanna, Kumar, N. Pradeep, Chiu, Chun-Ching, Sommers, David, Pletyukhov, Mikhail, Fedorov, Arkady
We experimentally realise the theoretical proposal for in-situ tunable photonic edge states emerging from qubits coupled to a waveguide with a photonic bandgap. These edge states are directional, exhibiting theoretically zero population in the opposi
Externí odkaz:
http://arxiv.org/abs/2411.05271
Publikováno v:
Frontiers in Artificial Intelligence and Applications, vol. 392, ECAI 2024, pp. 2919-2926
Multi-objective reinforcement learning (MORL) is used to solve problems involving multiple objectives. An MORL agent must make decisions based on the diverse signals provided by distinct reward functions. Training an MORL agent yields a set of soluti
Externí odkaz:
http://arxiv.org/abs/2411.04784
Autor:
Kumar, Shashi, Thorbecke, Iuliia, Burdisso, Sergio, Villatoro-Tello, Esaú, E, Manjunath K, Hacioğlu, Kadri, Rangappa, Pradeep, Motlicek, Petr, Ganapathiraju, Aravind, Stolcke, Andreas
Recent research has demonstrated that training a linear connector between speech foundation encoders and large language models (LLMs) enables this architecture to achieve strong ASR capabilities. Despite the impressive results, it remains unclear whe
Externí odkaz:
http://arxiv.org/abs/2411.03866
Multi-object multi-part scene segmentation is a challenging task whose complexity scales exponentially with part granularity and number of scene objects. To address the task, we propose a plug-and-play approach termed OLAF. First, we augment the inpu
Externí odkaz:
http://arxiv.org/abs/2411.02858
Autor:
Kayshap, Pradeep, Young, Peter R.
The center-to-limb variations (CLV) of transition region line Gaussian fit parameters in solar plage are reported for the first time. The Si iv 1402.77 A line observed by Interface Region Imaging Spectrograph (IRIS) is used. The spectral intensity in
Externí odkaz:
http://arxiv.org/abs/2411.01838
Recent trends in lower precision, e.g. half-precision floating point, training have shown improved system performance and reduced memory usage for Deep Learning while maintaining accuracy. However, current GNN systems cannot achieve such goals for GN
Externí odkaz:
http://arxiv.org/abs/2411.01109