Zobrazeno 1 - 10
of 8 834
pro vyhledávání: '"Yuvaraj., A."'
Autor:
Elangovan, Yuvaraj, Saraf, Mandar, Satyanarayana, B., Upadhya, S. S., Panyam, Nagaraj, Shinde, Ravindra, Majumder, Gobinda, Sil, D., Pathaleswar, Thoi, S. Thoi, Ravindran, K. C.
This paper introduces a high-performance Soft-Core Processor based data acquisition system designed for handling Resistive Plate Chambers (RPCs). The DAQ consist of FPGA-based hardware equipped with Soft-Core Processor and embedded hardwired Ethernet
Externí odkaz:
http://arxiv.org/abs/2501.00686
Autor:
Shareef, T. H. Mohamed Ahadu, Navabshan, Irfan, Masood, M Mohamed Divan, Yuvaraj, T. Eswara, Sherif, A.
Publikováno v:
J.Hasty Results 1 (2008) 1-9; Erratum: J.Hasty Results 2 (2008) 1-2
This study examines the phytochemical characteristics of Ayurvedic products. An analysis was performed on Kottakkal Ayurveda Triphala (T), Kottakkal Ayurveda Hinguvachadi Churnam (H), and Kottakkal Ayurveda Jirakadyarishtam (J) using GC-MS and LC-MS
Externí odkaz:
http://arxiv.org/abs/2412.17005
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
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
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
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