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pro vyhledávání: '"Yadav , Santosh"'
In this letter, we report the observational constraints on a Bianchi type I anisotropic extension of $w$CDM model with spatial curvature from observational data including Baryon Acoustic Oscillations (BAO), Cosmic chronometers (CC), Big Bang nucleosy
Externí odkaz:
http://arxiv.org/abs/2405.11534
(111)NiO epitaxial films are grown on c-sapphire substrates at various growth temperatures ranging from room-temperature to 600C using pulsed laser deposition (PLD) technique. Two series of samples, where different laser fluences are used to ablate t
Externí odkaz:
http://arxiv.org/abs/2404.13007
Publikováno v:
Physics of the Dark Universe, Volume 46, December 2024, 101626
In this paper, we derive observational constraints on an anisotropic $w$CDM model from observational data including Baryonic Acoustic Oscillations (BAOs), Cosmic Chronometer (CC), Big Bang Nucleosynthesis (BBN), Pantheon Plus (PP) compilation of Type
Externí odkaz:
http://arxiv.org/abs/2402.16885
Publikováno v:
Physics of the Dark Universe, 42, 101363 (2023)
In this paper, we investigate an extension of the standard $\Lambda$CDM model by allowing: a temporal evolution in the equation of state (EoS) of DM via Chevallier-Polarski-Linder parametrization, and the constant non-null sound speed. We also consid
Externí odkaz:
http://arxiv.org/abs/2307.05155
Pose recognition deals with designing algorithms to locate human body joints in a 2D/3D space and run inference on the estimated joint locations for predicting the poses. Yoga poses consist of some very complex postures. It imposes various challenges
Externí odkaz:
http://arxiv.org/abs/2306.15768
Autor:
Yadav, Santosh Kumar, Rafiqi, Muhtashim, Gummana, Egna Praneeth, Tiwari, Kamlesh, Pandey, Hari Mohan, Akbara, Shaik Ali
This paper presents a novel multimodal human activity recognition system. It uses a two-stream decision level fusion of vision and inertial sensors. In the first stream, raw RGB frames are passed to a part affinity field-based pose estimation network
Externí odkaz:
http://arxiv.org/abs/2306.15765
Autor:
Yadav, Santosh Kumar, Luthra, Achleshwar, Pahwa, Esha, Tiwari, Kamlesh, Rathore, Heena, Pandey, Hari Mohan, Corcoran, Peter
Human activity recognition (HAR) using drone-mounted cameras has attracted considerable interest from the computer vision research community in recent years. A robust and efficient HAR system has a pivotal role in fields like video surveillance, crow
Externí odkaz:
http://arxiv.org/abs/2212.03384
Autor:
Yadav, Santosh Kumar, Pahwa, Esha, Luthra, Achleshwar, Tiwari, Kamlesh, Pandey, Hari Mohan, Corcoran, Peter
Drone-camera based human activity recognition (HAR) has received significant attention from the computer vision research community in the past few years. A robust and efficient HAR system has a pivotal role in fields like video surveillance, crowd be
Externí odkaz:
http://arxiv.org/abs/2211.05531
Publikováno v:
In Computational and Theoretical Chemistry October 2024 1240
Autor:
Yadav, Santosh Kumar, Tyagi, Mukti, Talwar, Meenu, Tyagi, Vinay Kumar, Kumar, Manmohan, Das, Mukul, Kumar, Virendra, Goel, Narender Kumar
Publikováno v:
In Radiation Physics and Chemistry March 2025 228