Zobrazeno 1 - 10
of 56 932
pro vyhledávání: '"A. Om"'
Publikováno v:
Energy Sci Eng. 2022; 10: 3397-3410
This paper proposes an improved deep learning based maximum power point tracking (MPPT) in solar photovoltaic cells considering various time series based environmental inputs. Generally, artificial neural network based MPPT algorithms use basic neura
Externí odkaz:
http://arxiv.org/abs/2409.16342
Many existing models struggle to predict nonlinear behavior during extreme weather conditions. This study proposes a multi-scale temporal analysis for failure prediction in energy systems using PMU data. The model integrates multi-scale analysis with
Externí odkaz:
http://arxiv.org/abs/2411.02857
Autor:
Chayapathy, Dhruva, Siebert, Tavis, Spangher, Lucas, Moharir, Akshata Kishore, Patil, Om Manoj, Rea, Cristina
Machine Learning guided data augmentation may support the development of technologies in the physical sciences, such as nuclear fusion tokamaks. Here we endeavor to study the problem of detecting disruptions i.e. plasma instabilities that can cause s
Externí odkaz:
http://arxiv.org/abs/2410.11065
Large ASR models can inadvertently leak sensitive information, which can be mitigated by formal privacy measures like differential privacy (DP). However, traditional DP training is computationally expensive, and can hurt model performance. Our study
Externí odkaz:
http://arxiv.org/abs/2410.01948
Self-supervised learning (SSL) methods for large speech models have proven to be highly effective at ASR. With the interest in public deployment of large pre-trained models, there is a rising concern for unintended memorization and leakage of sensiti
Externí odkaz:
http://arxiv.org/abs/2409.13953
Autor:
Gabrielli, Francesco, Boco, Lumen, Ghirlanda, Giancarlo, Salafia, Om Sharan, Salvaterra, Ruben, Spera, Mario, Lapi, Andrea
The stellar initial-mass function (IMF) represents a fundamental quantity in astrophysics and cosmology, describing the mass distribution of stars from low to very-high masses. It is intimately linked to a wide variety of topics, including stellar an
Externí odkaz:
http://arxiv.org/abs/2409.09118
Autor:
Chwiedziuk, Ondřej, Doležálek, Matěj, Hlavinková, Simona, Pěchoučková, Emma, Pezlar, Zdeněk, Prakash, Om, Růžičková, Anna, Zindulka, Mikuláš
We consider generalized quadratic forms over real quadratic number fields and prove, under a natural positive-definiteness condition, that a generalized quadratic form can only be universal if it contains a quadratic subform that is universal. We als
Externí odkaz:
http://arxiv.org/abs/2409.07941
Autor:
Bhardwaj, Om Prakash, Saha, Kamalesh
Some recent investigations indicate that for the classification of Cohen-Macaulay binomial edge ideals, it suffices to consider biconnected graphs with some whiskers attached (in short, `block with whiskers'). This paper provides explicit combinatori
Externí odkaz:
http://arxiv.org/abs/2409.01639
While machine learning has advanced in medicine, its widespread use in clinical applications, especially in predicting breast cancer metastasis, is still limited. We have been dedicated to constructing a DFNN model to predict breast cancer metastasis
Externí odkaz:
http://arxiv.org/abs/2408.15498
The problem of checking whether a recursive query can be rewritten as query without recursion is a fundamental reasoning task, known as the boundedness problem. Here we study the boundedness problem for Unions of Conjunctive Regular Path Queries (UCR
Externí odkaz:
http://arxiv.org/abs/2407.20782