Zobrazeno 1 - 10
of 1 165
pro vyhledávání: '"Govindarajulu, . P."'
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
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
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
Over the last few decades, Smartphone technology has seen significant improvements. Enhancements specific to built-in Inertial Measurement Units (IMUs) and other dedicated sensors of the smartphones(which are often available as default) such as- Acce
Externí odkaz:
http://arxiv.org/abs/2308.11642
Autor:
Karthikeyan Pandiyambakkam Rajendran, Rakesh Anbazhagan, Suresh Ramalingam, Sridevi Rajamohan, Srinivas Govindarajulu
Publikováno v:
The Egyptian Journal of Internal Medicine, Vol 36, Iss 1, Pp 1-10 (2024)
Abstract Background End-stage renal disease (ESRD) poses a significant burden globally and in India. However, access to treatment remains limited due to resource and cost constraints. This study aimed to evaluate the health-related quality of life (H
Externí odkaz:
https://doaj.org/article/9b6e3778a28842f388cbe312dd0f8e80
Real-world deep learning models developed for Time Series Forecasting are used in several critical applications ranging from medical devices to the security domain. Many previous works have shown how deep learning models are prone to adversarial atta
Externí odkaz:
http://arxiv.org/abs/2301.11544
Viscous Aqueous Gel Illustrating Natural Anatomy: The VAGINA method in gynaecological MRI simulation
Autor:
Kate Skehan, Matthew Richardson, Laura M O'Connor, Samuel Dickson, Kate Martin, Geetha Govindarajulu, Swetha Sridharan
Publikováno v:
Journal of Medical Radiation Sciences, Vol 71, Iss 1, Pp 150-155 (2024)
Abstract Accurately defining gross tumour volume (GTV) and organs at risk (OAR) is key to successful radiation therapy (RT) treatment outcomes for patients with gynaecological cancers. With improved access to magnetic resonance imaging (MRI) for RT s
Externí odkaz:
https://doaj.org/article/7636384e885f418281f99edc0bcd4aaf
Autor:
FATEH SINGH, KATHERUKAMEM RAJUKUMAR, DHANAPAL SENTHILKUMAR, GOVINDARAJULU VENKATESH, SHASHI BHUSHAN SUDHAKAR, VIJENDRA PAL SINGH, ANIKET SANYAL
Publikováno v:
Indian Journal of Animal Sciences, Vol 94, Iss 5 (2024)
The present study aimed to develop an in-house one-step reverse transcription (RT) PCR assay as a diagnostic preparedness for the detection of porcine epidemic diarrhoea virus (PEDV) in pigs. Primers and gene construct targeting the nucleoprotein gen
Externí odkaz:
https://doaj.org/article/6175ad31d4954cf1b152a36bc82eb513