Zobrazeno 1 - 10
of 8 776
pro vyhledávání: '"A. Yuvaraj"'
In the domain of black-box model extraction, conventional methods reliant on soft labels or surrogate datasets struggle with scaling to high-dimensional input spaces and managing the complexity of an extensive array of interrelated classes. In this w
Externí odkaz:
http://arxiv.org/abs/2408.02140
The recent strides in artificial intelligence (AI) and machine learning (ML) have propelled the rise of TinyML, a paradigm enabling AI computations at the edge without dependence on cloud connections. While TinyML offers real-time data analysis and s
Externí odkaz:
http://arxiv.org/abs/2407.11599
Autor:
Chesetti, Yuvaraj, Pandey, Prashant
In this paper, we investigate the effectiveness of utilizing CDF-based learned indexes in indexed-nested loop joins for both sorted and unsorted data in external memory. Our experimental study seeks to determine whether the advantages of learned inde
Externí odkaz:
http://arxiv.org/abs/2407.00590
Large language models (LLMs) have revolutionized how we interact with machines. However, this technological advancement has been paralleled by the emergence of "Mallas," malicious services operating underground that exploit LLMs for nefarious purpose
Externí odkaz:
http://arxiv.org/abs/2406.00628
Nanocomposites comprising of high surface area adsorption materials and nanosized transition metals have emerged as a promising strategy for hydrogen storage application due to their inherent ability to store atomic and molecular forms of hydrogen by
Externí odkaz:
http://arxiv.org/abs/2405.17831
Emerging vulnerabilities in machine learning (ML) models due to adversarial attacks raise concerns about their reliability. Specifically, evasion attacks manipulate models by introducing precise perturbations to input data, causing erroneous predicti
Externí odkaz:
http://arxiv.org/abs/2404.15656
Autor:
Yuvaraj, Bharath R., Masilamani, Vaageessan, Saravanan, M., Karthikeyan, Harie, Moses, Fenn, Abraham, Kumar, Ravi P., K, Manjula
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Sep 01. 28(9), 136-144.
Externí odkaz:
https://www.jstor.org/stable/27332747
The rapid integration of Large Language Models (LLMs) across diverse sectors has marked a transformative era, showcasing remarkable capabilities in text generation and problem-solving tasks. However, this technological advancement is accompanied by s
Externí odkaz:
http://arxiv.org/abs/2403.13309
Autor:
Ismaeel, Ayad Ghany, Janardhanan, Krishnadas, Sankar, Manishankar, Natarajan, Yuvaraj, Mahmood, Sarmad Nozad, Alani, Sameer, Shather, Akram H.
Publikováno v:
sustainability 2023, 15, 14522
This paper examines the use of deep recurrent neural networks to classify traffic patterns in smart cities. We propose a novel approach to traffic pattern classification based on deep recurrent neural networks, which can effectively capture traffic p
Externí odkaz:
http://arxiv.org/abs/2401.13794
Autor:
Bhardwaj, Gauri, Govindarajulu, Yuvaraj, Narayanan, Sundaraparipurnan, Kulkarni, Pavan, Parmar, Manojkumar
Medical imaging has revolutionized disease diagnosis, yet the potential is hampered by limited access to diverse and privacy-conscious datasets. Open-source medical datasets, while valuable, suffer from data quality and clinical information dispariti
Externí odkaz:
http://arxiv.org/abs/2312.06979