Zobrazeno 1 - 10
of 29 899
pro vyhledávání: '"A. Navin"'
Autor:
S. Kim, J.W. Hwang, Y. Satou, N.A. Orr, T. Nakamura, Y. Kondo, J. Gibelin, N.L. Achouri, T. Aumann, H. Baba, F. Delaunay, P. Doornenbal, N. Fukuda, N. Inabe, T. Isobe, D. Kameda, D. Kanno, N. Kobayashi, T. Kobayashi, T. Kubo, S. Leblond, J. Lee, F.M. Marqués, R. Minakata, T. Motobayashi, D. Murai, T. Murakami, K. Muto, T. Nakashima, N. Nakatsuka, A. Navin, S. Nishi, S. Ogoshi, H. Otsu, H. Sato, Y. Shimizu, H. Suzuki, K. Takahashi, H. Takeda, S. Takeuchi, R. Tanaka, Y. Togano, A.G. Tuff, M. Vandebrouck, K. Yoneda
Publikováno v:
Physics Letters B, Vol 836, Iss , Pp 137629- (2023)
Unbound states in C17 were investigated via one-neutron removal from a C18 beam at an energy of 245 MeV/nucleon on a carbon target. The energy spectrum of C17, above the single-neutron decay threshold, was reconstructed using invariant mass spectrosc
Externí odkaz:
https://doaj.org/article/6ec0beae58e344839d3500a4516b9474
A common challenge towards the adaptability of Large Language Models (LLMs) is their ability to learn new languages over time without hampering the model's performance on languages in which the model is already proficient (usually English). Continual
Externí odkaz:
http://arxiv.org/abs/2410.16006
Autor:
Agrawal-Chung, Navin, Moin, Zohran
Landmine detection using traditional methods is slow, dangerous and prohibitively expensive. Using deep learning-based object detection algorithms drone videos is promising but has multiple challenges due to the small, soda-can size of recently preva
Externí odkaz:
http://arxiv.org/abs/2410.19807
Autor:
Dementyev, Artem, Reddy, Chandan K. A., Wisdom, Scott, Chatlani, Navin, Hershey, John R., Lyon, Richard F.
Low latency models are critical for real-time speech enhancement applications, such as hearing aids and hearables. However, the sub-millisecond latency space for resource-constrained hearables remains underexplored. We demonstrate speech enhancement
Externí odkaz:
http://arxiv.org/abs/2409.18239
Autor:
Wu, Kaiyi, Cohen, Lucas M., Myilswamy, Karthik V., Lingaraju, Navin B., Lu, Hsuan-Hao, Lukens, Joseph M., Weiner, Andrew M.
We demonstrate spectral shaping of entangled photons with a six-channel microring-resonator-based silicon photonic pulse shaper. Through precise calibration of thermal phase shifters in a microresonator-based pulse shaper, we demonstrate line-by-line
Externí odkaz:
http://arxiv.org/abs/2409.13638
Autor:
Ibik, Adaeze L., Drout, Maria R., Gaensler, Bryan M., Scholz, Paul, Sridhar, Navin, Margalit, Ben, Law, Casey J., Clarke, Tracy E., Tendulkar, Shriharsh P., Michilli, Daniele, Eftekhari, Tarraneh, Bhardwaj, Mohit, Burke-Spolaor, Sarah, Chatterjee, Shami, Cook, Amanda M., Hessels, Jason W. T., Kirsten, Franz, Joseph, Ronniy C., Kaspi, Victoria M., Lazda, Mattias, Masui, Kiyoshi W., Nimmo, Kenzie, Pandhi, Ayush, Pearlman, Aaron B., Pleunis, Ziggy, Rafiei-Ravandi, Masoud, Shin, Kaitlyn, Smith, Kendrick M.
The identification of persistent radio sources (PRSs) coincident with two repeating fast radio bursts (FRBs) supports FRB theories requiring a compact central engine. However, deep non-detections in other cases highlight the diversity of repeating FR
Externí odkaz:
http://arxiv.org/abs/2409.11533
Autor:
Prabhu, Navin Raj, Tsfasman, Maria, Oertel, Catharine, Gerkmann, Timo, Lehmann-Willenbrock, Nale
Collaborating in a group, whether face-to-face or virtually, involves continuously expressing emotions and interpreting those of other group members. Therefore, understanding group affect is essential to comprehending how groups interact and succeed
Externí odkaz:
http://arxiv.org/abs/2409.08578
The uncertainties in photometric redshifts and stellar masses from imaging surveys affect galaxy sample selection, their abundance measurements, as well as the measured weak lensing signals. We develop a framework to assess the systematic effects ari
Externí odkaz:
http://arxiv.org/abs/2408.05013
Publikováno v:
Sensors 2024, 24, 6734
This study introduces a novel framework to apply Artifact Subspace Reconstruction (ASR) algorithm on single-channel Electroencephalogram (EEG) data. ASR, renowned for its automated capability to effectively eliminate various artifacts like eye-blinks
Externí odkaz:
http://arxiv.org/abs/2407.04727
Autor:
Kartik, Navin, Kleiner, Andreas
For multidimensional Euclidean type spaces, we study convex choice: from any choice set, the set of types that make the same choice is convex. We establish that, in a suitable sense, this property characterizes the sufficiency of local incentive cons
Externí odkaz:
http://arxiv.org/abs/2406.19063