Zobrazeno 1 - 10
of 9 296
pro vyhledávání: '"Anil Kumar P."'
Autor:
Karn, Anil Kumar
In this paper, we show that every pair of absolutely compatible Hilbert space effects are coexistent and exhibit a partial orthogonality property. We introduce the notion of partially ortho-coexistence. We generalize absolute compatibility to obtain
Externí odkaz:
http://arxiv.org/abs/2411.08445
Random Access is a critical procedure using which a User Equipment (UE) identifies itself to a Base Station (BS). Random Access starts with the UE transmitting a random preamble on the Physical Random Access Channel (PRACH). In a conventional BS rece
Externí odkaz:
http://arxiv.org/abs/2411.08919
Accurate localization in indoor environments is a challenge due to the Non Line of Sight (NLoS) nature of the signaling. In this paper, we explore the use of AI/ML techniques for positioning accuracy enhancement in Indoor Factory (InF) scenarios. The
Externí odkaz:
http://arxiv.org/abs/2410.19436
Autor:
Karn, Anil Kumar, Mandal, Arindam
Using the notion of modulus of continuity at a point of a mapping between metric spaces, we introduce the notion of extensively bounded mappings generalizing that of Lipschitz mappings. We also introduce a metric on it which becomes a norm if the cod
Externí odkaz:
http://arxiv.org/abs/2410.10677
Autor:
Karn, Anil Kumar
We characterize the order unit property of a positive element in an order unit space in terms of orthogonality.
Comment: 11 pages
Comment: 11 pages
Externí odkaz:
http://arxiv.org/abs/2410.07623
Autor:
Phuyal, Sushil, Shrestha, Shashwot, Sharma, Swodesh, Subedi, Rachana, Panjiyar, Anil Kumar, Gautam, Mukesh
With the rise of renewable energy penetration in the grid, photovoltaic (PV) panels are connected to the grid via inverters to supply solar energy. Transformer-less grid-tied PV inverters are gaining popularity because of their improved efficiency, r
Externí odkaz:
http://arxiv.org/abs/2410.04836
Multi-modal deep metric learning is crucial for effectively capturing diverse representations in tasks such as face verification, fine-grained object recognition, and product search. Traditional approaches to metric learning, whether based on distanc
Externí odkaz:
http://arxiv.org/abs/2410.05438
Autor:
Gayathry G., Athira R. K., Anju M. S., Anil Kumar P. R., Harikrishna Varma P. R., Naresh Kasoju, Manoj Komath
Publikováno v:
MedComm – Future Medicine, Vol 1, Iss 1, Pp n/a-n/a (2022)
Abstract Regeneration of bone lost by trauma, diseases and aging, and restoration of its load‐bearing function are major clinical challenges. Hydroxyapatite (HA) is a clinically proven scaffold material for bone grafting, but the random‐pore stru
Externí odkaz:
https://doaj.org/article/dcdb192867204f89ae36a698f65d82ec
Interactions of polyelectrolytes (PEs) with proteins play a crucial role in numerous biological processes, such as the internalization of virus particles into host cells. Although docking, machine learning methods, and molecular dynamics (MD) simulat
Externí odkaz:
http://arxiv.org/abs/2409.00210
Autor:
Singh, Anil Kumar, Martin, Kevin, Talamo, Maurizio Mastropasqua, Houssin, Axel, Vanthuyne, Nicolas, Avarvari, Narcis, Tal, Oren
The interplay of electrons with a chiral medium has a diverse impact across science and technology, influencing drug separation, chemical reactions, and electronic transport. In particular, such electronchirality interactions can significantly affect
Externí odkaz:
http://arxiv.org/abs/2408.12258