Zobrazeno 1 - 10
of 10 900
pro vyhledávání: '"Challa A"'
Autor:
Kar, Aditya Shankar, Challa, Kiran Kumar, Bharati, Alok Kumar, Singhal, Ankit, Ajjarapu, Venkataramana
Active distribution system with high penetration of inverter based distributed energy resources (DER) can be utilized for VAR-related ancillary services. To utilize the DER flexibility, transmission system operator (TSO) must be presented with the ag
Externí odkaz:
http://arxiv.org/abs/2405.12184
A classifier is, in its essence, a function which takes an input and returns the class of the input and implicitly assumes an underlying distribution. We argue in this article that one has to move away from this basic tenet to obtain generalisation a
Externí odkaz:
http://arxiv.org/abs/2405.11573
In this paper, we propose a class of non-parametric classifiers, that learn arbitrary boundaries and generalize well. Our approach is based on a novel way to regularize 1NN classifiers using a greedy approach. We refer to this class of classifiers as
Externí odkaz:
http://arxiv.org/abs/2402.08405
We derive the elastic field generated by multiple small-scaled inclusions distributed in a bounded set of $\mathbb{R}^3$. These inclusions are modeled with moderate values of the Lam\'e coefficients while they have a large relative mass density. Thes
Externí odkaz:
http://arxiv.org/abs/2401.03784
Autor:
Peddi, Rohith, Arya, Shivvrat, Challa, Bharath, Pallapothula, Likhitha, Vyas, Akshay, Gouripeddi, Bhavya, Wang, Jikai, Zhang, Qifan, Komaragiri, Vasundhara, Ragan, Eric, Ruozzi, Nicholas, Xiang, Yu, Gogate, Vibhav
Following step-by-step procedures is an essential component of various activities carried out by individuals in their daily lives. These procedures serve as a guiding framework that helps to achieve goals efficiently, whether it is assembling furnitu
Externí odkaz:
http://arxiv.org/abs/2312.14556
Large language models (LLMs) such as ChatGPT and Google Bard have garnered significant attention in the academic community. Previous research has evaluated these LLMs for various applications such as generating programming exercises and solutions. Ho
Externí odkaz:
http://arxiv.org/abs/2311.09651
Publikováno v:
Volume 3: ICAART, 2023, pages - 550-557
The rapid advancement in deep learning over the past decade has transformed Facial Expression Recognition (FER) systems, as newer methods have been proposed that outperform the existing traditional handcrafted techniques. However, such a supervised l
Externí odkaz:
http://arxiv.org/abs/2310.00287
Autor:
Joshi, Ishika, Budhiraja, Ritvik, Tanna, Pranav Deepak, Jain, Lovenya, Deshpande, Mihika, Srivastava, Arjun, Rallapalli, Srinivas, Akolekar, Harshal D, Challa, Jagat Sesh, Kumar, Dhruv
The rise in popularity of Large Language Models (LLMs) has prompted discussions in academic circles, with students exploring LLM-based tools for coursework inquiries and instructors exploring them for teaching and research. Even though a lot of work
Externí odkaz:
http://arxiv.org/abs/2309.10694
Autor:
Yaman, Ilayda, Tian, Guoda, Tegler, Erik, Gulin, Jens, Challa, Nikhil, Tufvesson, Fredrik, Edfors, Ove, Astrom, Kalle, Malkowsky, Steffen, Liu, Liang
Publikováno v:
IEEE Journal of Indoor and Seamless Positioning and Navigation (2024) 1-11
We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms. We create the first baseline for the aforementioned sensors using the recently published Lund University Vision, Radio, and Audio (LuV
Externí odkaz:
http://arxiv.org/abs/2309.02961
We propose a reconstruction method to extract the variable mass density from the elastic farfields, with a single incident direction, measured before and after injecting highly dense small scaled inclusions. We take as a model, the Lam\'e system wher
Externí odkaz:
http://arxiv.org/abs/2305.04317