Zobrazeno 1 - 10
of 4 848
pro vyhledávání: '"P Vaishnavi"'
Autor:
Khindkar, Vaishnavi, Balasubramanian, Vineeth, Arora, Chetan, Subramanian, Anbumani, Jawahar, C. V.
With the increased importance of autonomous navigation systems has come an increasing need to protect the safety of Vulnerable Road Users (VRUs) such as pedestrians. Predicting pedestrian intent is one such challenging task, where prior work predicts
Externí odkaz:
http://arxiv.org/abs/2411.13302
The vulnerability of machine learning models in adversarial scenarios has garnered significant interest in the academic community over the past decade, resulting in a myriad of attacks and defenses. However, while the community appears to be overtly
Externí odkaz:
http://arxiv.org/abs/2410.12076
This paper presents research on enhancements to Large Language Models (LLMs) through the addition of diversity in its generated outputs. Our study introduces a configuration of multiple LLMs which demonstrates the diversities capable with a single LL
Externí odkaz:
http://arxiv.org/abs/2410.12839
Autor:
Hoffmann, Marco, Krizakova, Viola, Kateel, Vaishnavi, Cai, Kaiming, Couet, Sebastien, Gambardella, Pietro
Publikováno v:
Phys. Rev. Applied 22, 034052, 2024
The writing energy for reversing the magnetization of the free layer in a magnetic tunnel junction (MTJ) is a key figure of merit for comparing the performances of magnetic random access memories with competing technologies. Magnetization switching o
Externí odkaz:
http://arxiv.org/abs/2409.16454
The use of cryptocurrencies has led to an increase in illicit activities such as money laundering, with traditional rule-based approaches becoming less effective in detecting and preventing such activities. In this paper, we propose a novel approach
Externí odkaz:
http://arxiv.org/abs/2410.07150
Autor:
Kasuluru, Vaishnavi, Blanco, Luis, Vazquez, Miguel Angel, Vaca-Rubio, Cristian J., Zeydan, Engin
This paper deals with the problem of energy consumption minimization in Open RAN cell-free (CF) massive Multiple-Input Multiple-Output (mMIMO) systems under minimum per-user signal-to-noise-plus-interference ratio (SINR) constraints. Considering that
Externí odkaz:
http://arxiv.org/abs/2409.04135
Autor:
Monnier, John D., Jain, Prachet, Gutierrez, Mayra, Han, Chi, Hezi, Sara, Kalluri, Shashank, Kabaria, Hirsh, Kompas, Brennan, Harikumar, Vaishnavi, Skifstad, Julian, Peri, Janani, Hernandez, Emmanuel, Bhaskarapanthula, Ramya, Cutler, James
Drones provide a versatile platform for remote sensing and atmospheric studies. However, strict payload mass limits and intense vibrations have proven obstacles to adoption for astronomy. We present a concept for system-level testing of a long-baseli
Externí odkaz:
http://arxiv.org/abs/2408.03911
The transition to sustainable Open Radio Access Network (O-RAN) architectures brings new challenges for resource management, especially in predicting the utilization of Physical Resource Block (PRB)s. In this paper, we propose a novel approach to cha
Externí odkaz:
http://arxiv.org/abs/2407.14400
The need for intelligent and efficient resource provisioning for the productive management of resources in real-world scenarios is growing with the evolution of telecommunications towards the 6G era. Technologies such as Open Radio Access Network (O-
Externí odkaz:
http://arxiv.org/abs/2407.14377
Unlike other single-point Artificial Intelligence (AI)-based prediction techniques, such as Long-Short Term Memory (LSTM), probabilistic forecasting techniques (e.g., DeepAR and Transformer) provide a range of possible outcomes and associated probabi
Externí odkaz:
http://arxiv.org/abs/2407.14375