Zobrazeno 1 - 10
of 12 231
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
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
The translocation of biopolymers, such as DNA and proteins, across cellular or nuclear membranes is essential for numerous biological processes. The translocation dynamics are influenced by the properties of the polymers, such as polymer stiffness, a
Externí odkaz:
http://arxiv.org/abs/2407.18872