Zobrazeno 1 - 10
of 14 981
pro vyhledávání: '"P. RASTOGI"'
Publikováno v:
Carbon Trends, Vol 16, Iss , Pp 100381- (2024)
The demand for suitable electrode materials for energy storage devices, driven by increasing energy needs and environmental concerns, has led to the investigation of green synthesis methods. In this study, a composite material (rGO@NCQDs) comprising
Externí odkaz:
https://doaj.org/article/6ab060d1af8441af9ea5c8160d63752a
Autor:
S. Johnston, M. Toi, J. O’Shaughnessy, P. Rastogi, M. Campone, P. Neven, C.S. Huang, J. Huober, G. Garnica Jaliffe, I. Cicin, S. Tolaney, M.P. Goetz, H. Rugo, E. Senkus, L. Testa, L. Del Mastro, C. Shimizu, R. Wei, A. Shahir, M. Munoz, B. San Antonio, V. Andre, N. Harbeck, M. Martín
Publikováno v:
Breast, Vol 68, Iss , Pp S22-S23 (2023)
Externí odkaz:
https://doaj.org/article/75e8731e448a4b51922ee0d8e87c7fb3
Autor:
Ma, Jun, Li, Feifei, Kim, Sumin, Asakereh, Reza, Le, Bao-Hiep, Nguyen-Vu, Dang-Khoa, Pfefferle, Alexander, Wei, Muxin, Gao, Ruochen, Lyu, Donghang, Yang, Songxiao, Purucker, Lennart, Marinov, Zdravko, Staring, Marius, Lu, Haisheng, Dao, Thuy Thanh, Ye, Xincheng, Li, Zhi, Brugnara, Gianluca, Vollmuth, Philipp, Foltyn-Dumitru, Martha, Cho, Jaeyoung, Mahmutoglu, Mustafa Ahmed, Bendszus, Martin, Pflüger, Irada, Rastogi, Aditya, Ni, Dong, Yang, Xin, Zhou, Guang-Quan, Wang, Kaini, Heller, Nicholas, Papanikolopoulos, Nikolaos, Weight, Christopher, Tong, Yubing, Udupa, Jayaram K, Patrick, Cahill J., Wang, Yaqi, Zhang, Yifan, Contijoch, Francisco, McVeigh, Elliot, Ye, Xin, He, Shucheng, Haase, Robert, Pinetz, Thomas, Radbruch, Alexander, Krause, Inga, Kobler, Erich, He, Jian, Tang, Yucheng, Yang, Haichun, Huo, Yuankai, Luo, Gongning, Kushibar, Kaisar, Amankulov, Jandos, Toleshbayev, Dias, Mukhamejan, Amangeldi, Egger, Jan, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Fujita, Shohei, Kikuchi, Tomohiro, Wiestler, Benedikt, Kirschke, Jan S., de la Rosa, Ezequiel, Bolelli, Federico, Lumetti, Luca, Grana, Costantino, Xie, Kunpeng, Wu, Guomin, Puladi, Behrus, Martín-Isla, Carlos, Lekadir, Karim, Campello, Victor M., Shao, Wei, Brisbane, Wayne, Jiang, Hongxu, Wei, Hao, Yuan, Wu, Li, Shuangle, Zhou, Yuyin, Wang, Bo
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice.
Externí odkaz:
http://arxiv.org/abs/2412.16085
Autor:
Lopez-Ramos, Luis M., Leiser, Florian, Rastogi, Aditya, Hicks, Steven, Strümke, Inga, Madai, Vince I., Budig, Tobias, Sunyaev, Ali, Hilbert, Adam
The joint implementation of Federated learning (FL) and Explainable artificial intelligence (XAI) will allow training models from distributed data and explaining their inner workings while preserving important aspects of privacy. Towards establishing
Externí odkaz:
http://arxiv.org/abs/2411.05874
Autor:
Rastogi, Saksham, Pruthi, Danish
Amidst rising concerns about the internet being proliferated with content generated from language models (LMs), watermarking is seen as a principled way to certify whether text was generated from a model. Many recent watermarking techniques slightly
Externí odkaz:
http://arxiv.org/abs/2411.05277
Companies support their customers using live chats and chatbots to gain their loyalty. AFAS is a Dutch company aiming to leverage the opportunity large language models (LLMs) offer to answer customer queries with minimal to no input from its customer
Externí odkaz:
http://arxiv.org/abs/2411.00034
Rapid detection of gas concentration is important in different domains like gas leakage monitoring, pollution control, and so on, for the prevention of health hazards. Out of different types of gas sensors, Metal oxide (MOx) sensors are extensively u
Externí odkaz:
http://arxiv.org/abs/2410.16677
Optimizing Mixture-of-Experts Inference Time Combining Model Deployment and Communication Scheduling
As machine learning models scale in size and complexity, their computational requirements become a significant barrier. Mixture-of-Experts (MoE) models alleviate this issue by selectively activating relevant experts. Despite this, MoE models are hind
Externí odkaz:
http://arxiv.org/abs/2410.17043
Autor:
Rastogi, Charvi, Teh, Tian Huey, Mishra, Pushkar, Patel, Roma, Ashwood, Zoe, Davani, Aida Mostafazadeh, Diaz, Mark, Paganini, Michela, Parrish, Alicia, Wang, Ding, Prabhakaran, Vinodkumar, Aroyo, Lora, Rieser, Verena
AI systems crucially rely on human ratings, but these ratings are often aggregated, obscuring the inherent diversity of perspectives in real-world phenomenon. This is particularly concerning when evaluating the safety of generative AI, where percepti
Externí odkaz:
http://arxiv.org/abs/2410.17032
Autor:
Anjita, N. A., Indu, J., Thiruvengadam, P., Dixit, Vishal, Rastogi, Arpita, Kannan, Bagavath Singh Arul Malar
Desert locusts are notorious agriculture pests prompting billions in losses and global food scarcity concerns. With billions of these locusts invading agrarian lands, this is no longer a thing of the past. This study taps into the existing doppler we
Externí odkaz:
http://arxiv.org/abs/2410.15901