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pro vyhledávání: '"Singh, Rajat"'
Autor:
Singh, Rajat, Bedathur, Srikanta
Tabular data comprising rows (samples) with the same set of columns (attributes, is one of the most widely used data-type among various industries, including financial services, health care, research, retail, and logistics, to name a few. Tables are
Externí odkaz:
http://arxiv.org/abs/2302.11777
Autor:
Kumar, Romesh, Singh, Rajat
In this paper, we investige the concept of expansivity for composition operators on Orlicz-Lorentz spaces. We study necessary and sufficient conditions for expansivity, positive expansivity and uniformly expansivity for composition operators $C_{\tau
Externí odkaz:
http://arxiv.org/abs/2210.00333
In this paper, we study the Li-Yorke chaotic composition operators on Orlicz-Lorentz space. In fact, necessary and sufficient conditions are given for Li-Yorke chaotic composition operator $C_{\tau}$ on $\mathbb{L}^{\varphi,h}(\mu)$. Further, we pres
Externí odkaz:
http://arxiv.org/abs/2209.12989
Autor:
Kumar, Romesh, Singh, Rajat
In this paper, we investigate Li-Yorke composition operators and some of their variations on Lorentz spaces. Further, we also study expansive composition operators on these spaces. The work of the paper is essentially based on the work in [1], [9], [
Externí odkaz:
http://arxiv.org/abs/2208.00342
Autor:
Pandey, Rajiv, Rawat, Monika, Singh, Rajat, Kumar, Munesh, Chaturvedi, Ravi, Cui, Lizhen, Li, Tong
Publikováno v:
In Environmental and Sustainability Indicators September 2024 23
Autor:
Mattar, Pamela, Reginato, Andressa, Lavados, Christian, Das, Debajyoti, Kalyani, Manu, Martinez-Lopez, Nuria, Sharma, Mridul, Skovbjerg, Grethe, Skytte, Jacob Lercke, Roostalu, Urmas, Subbarayan, Rajasekaran, Picarda, Elodie, Zang, Xingxing, Zhang, Jinghang, Guha, Chandan, Schwartz, Gary, Rajbhandari, Prashant, Singh, Rajat
Publikováno v:
In Cell Reports 23 July 2024 43(7)
In this work, we propose a two-stage autoencoder based compressor-decompressor framework for compressing malaria RBC cell image patches. We know that the medical images used for disease diagnosis are around multiple gigabytes size, which is quite hug
Externí odkaz:
http://arxiv.org/abs/2108.10579
Knowledge Graph embedding provides a versatile technique for representing knowledge. These techniques can be used in a variety of applications such as completion of knowledge graph to predict missing information, recommender systems, question answeri
Externí odkaz:
http://arxiv.org/abs/2107.07842
Autor:
Singh, Rajat, Pandey, Rajiv
Publikováno v:
In Science of the Total Environment 1 April 2024 919
We propose a learning-based compression scheme that envelopes a standard codec between pre and post-processing deep CNNs. Specifically, we demonstrate improvements over prior approaches utilizing a compression-decompression network by introducing: (a
Externí odkaz:
http://arxiv.org/abs/2104.04926