Zobrazeno 1 - 10
of 35 185
pro vyhledávání: '"A Thakar"'
Autor:
Gokul, V. I., Bahuleyan, Arun, Yadav, Raghuveer Singh, Dinesh, S. P., Thakar, V. R., Sawant, Rahul, Rangwala, S. A.
We experimentally demonstrate a cavity-based detection scheme for a cold atomic ensemble with a radiatively open transition. Our method exploits the collective strong coupling of atoms to the cavity mode, which results in off-resonant probing of the
Externí odkaz:
http://arxiv.org/abs/2409.05451
Autor:
Reynolds, Conor
Publikováno v:
Aroq - Just-Drinks.com (Global News). 5/20/2022, pN.PAG-N.PAG. 1p.
The effectiveness of training neural networks directly impacts computational costs, resource allocation, and model development timelines in machine learning applications. An optimizer's ability to train the model adequately (in terms of trained model
Externí odkaz:
http://arxiv.org/abs/2408.02654
Educational Data Mining has become extremely popular among researchers in last decade. Prior effort in this area was only directed towards prediction of academic performance of a student. Very less number of researches are directed towards predicting
Externí odkaz:
http://arxiv.org/abs/2407.17591
Educational Data Mining (EDM) is a promising field, where data mining is widely used for predicting students performance. One of the most prevalent and recent challenge that higher education faces today is making students skillfully employable. Insti
Externí odkaz:
http://arxiv.org/abs/2407.16884
Data Mining is a promising field and is applied in multiple domains for its predictive capabilities. Data in the real world cannot be readily used for data mining as it suffers from the problems of multidimensionality, unbalance and missing values. I
Externí odkaz:
http://arxiv.org/abs/2406.03507
The photoassociation (PA) of rubidium dimer (Rb2) in a dark magneto-optic trap (MOT) is studied using atom-cavity collective strong coupling. This allows non-destructive detection of the molecule formation process as well as rapid and repeated interr
Externí odkaz:
http://arxiv.org/abs/2402.15114
This paper presents a novel conflict resolution strategy for autonomous surface vehicles (ASVs) to safely navigate and avoid collisions in a multi-vessel environment at sea. Collisions between two or more marine vessels must be avoided by following t
Externí odkaz:
http://arxiv.org/abs/2312.08549