Zobrazeno 1 - 10
of 8 144
pro vyhledávání: '"A. Thota"'
Autor:
Thota, Poojitha, Nilizadeh, Shirin
Large Language Models have introduced novel opportunities for text comprehension and generation. Yet, they are vulnerable to adversarial perturbations and data poisoning attacks, particularly in tasks like text classification and translation. However
Externí odkaz:
http://arxiv.org/abs/2410.20019
We characterize rotund, uniformly rotund, locally uniformly rotund and compactly locally uniformly rotund spaces in terms of set of almost farthest points from the unit sphere using the generalized diameter. For this we introduce few notions involvin
Externí odkaz:
http://arxiv.org/abs/2409.08697
Autor:
McManus, Maxwell, Rinchen, Tenzin, Dey, Annoy, Thota, Sumanth, Zhang, Zhaoxi, Hu, Jiangqi, Wang, Xi, Ji, Mingyue, Mastronarde, Nicholas, Bentley, Elizabeth Serena, Medley, Michael, Guan, Zhangyu
In this work, we present a new federation framework for UnionLabs, an innovative cloud-based resource-sharing infrastructure designed for next-generation (NextG) and Internet of Things (IoT) over-the-air (OTA) experiments. The framework aims to reduc
Externí odkaz:
http://arxiv.org/abs/2408.14460
In this work, we consider a group of n agents whose interactions can be represented using unsigned or signed structurally balanced graphs or a special case of structurally unbalanced graphs. A Laplacian-based model is proposed to govern the evolution
Externí odkaz:
http://arxiv.org/abs/2408.07559
Autor:
Maazallahi, Abbas, Thota, Sreehari, Kondaboina, Naga Prasad, Muktineni, Vineetha, Annem, Deepthi, Rokkam, Abhi Stephen, Amini, Mohammad Hossein, Salari, Mohammad Amir, Norouzzadeh, Payam, Snir, Eli, Rahmani, Bahareh
This study analyzes crop yield prediction in India from 1997 to 2020, focusing on various crops and key environmental factors. It aims to predict agricultural yields by utilizing advanced machine learning techniques like Linear Regression, Decision T
Externí odkaz:
http://arxiv.org/abs/2404.15392
Autor:
Henschel, Robert, Lindemann, Jonas, Follin, Anders, Dammann, Bernd, Dennis, Cicada, Thota, Abhinav
High Performance Research Desktops are used by HPC centers and research computing organizations to lower the barrier of entry to HPC systems. These Linux desktops are deployed alongside HPC systems, leveraging the investments in HPC compute and stora
Externí odkaz:
http://arxiv.org/abs/2404.03298
Autor:
Thota, Poojitha, Veerla, Jai Prakash, Guttikonda, Partha Sai, Nasr, Mohammad S., Nilizadeh, Shirin, Luber, Jacob M.
In the context of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks. Leveraging the Kather Colon dataset with
Externí odkaz:
http://arxiv.org/abs/2401.02565
Publikováno v:
Atmospheric Chemistry and Physics, Vol 17, Iss 2, Pp 1511-1528 (2017)
Limited area (regional) models applied at high resolution over specific regions of interest are generally expected to more accurately capture the spatiotemporal variability of key meteorological and climate parameters. However, improved performance i
Externí odkaz:
https://doaj.org/article/ac23156bf903428dbb3addc9274bd893
The advanced capabilities of Large Language Models (LLMs) have made them invaluable across various applications, from conversational agents and content creation to data analysis, research, and innovation. However, their effectiveness and accessibilit
Externí odkaz:
http://arxiv.org/abs/2310.19181
Finding suitable health insurance coverage can be challenging for individuals and small enterprises in the USA. The Health Insurance Exchange Public Use Files (Exchange PUFs) dataset provided by CMS offers valuable information on health and dental po
Externí odkaz:
http://arxiv.org/abs/2310.09229