Zobrazeno 1 - 10
of 2 480
pro vyhledávání: '"Gayathri, R."'
Insider threats usually occur from within the workplace, where the attacker is an entity closely associated with the organization. The sequence of actions the entities take on the resources to which they have access rights allows us to identify the i
Externí odkaz:
http://arxiv.org/abs/2409.13083
Autor:
Usharani, Shola, Gayathri, R., Kovvuri, Uday Surya Deveswar Reddy, Nivas, Maddukuri, Md, Abdul Quadir, Tee, Kong Fah, Sivaraman, Arun Kumar
Publikováno v:
International Journal of Structural Integrity, 2024, Vol. 15, Issue 3, pp. 434-460.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSI-10-2023-0102
Autor:
Gayathri R. Devi, Pritha Pai, Seayoung Lee, Matthew W. Foster, Dorababu S. Sannareddy, Francois Bertucci, Naoto Ueno, Steven Van Laere
Publikováno v:
npj Breast Cancer, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Therapeutic resistance presents a significant hurdle in combating inflammatory breast cancer (IBC), adding to the complexity of its management. To investigate these mechanisms, we conducted a comprehensive analysis using transcriptomic and p
Externí odkaz:
https://doaj.org/article/4ad7381aff3f42978a3abfc4857e03ff
Autor:
Gayathri R, Maheswari S, Sandeep Kumar Mathivanan, Basu Dev Shivahare, Radha Raman Chandan, Mohd Asif Shah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolutional
Externí odkaz:
https://doaj.org/article/cf2b80879bca4f67a2ac94924ecdd80c
Autor:
Gayathri R, Sangeetha S.K.B, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar MB, Saurav Mallik, Hong Qin
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200129- (2024)
The study presents a novel method to improve the prediction accuracy of cardiac disease by combining data augmentation techniques with reinforcement learning. The complex nature of cardiac data frequently presents challenges for traditional machine l
Externí odkaz:
https://doaj.org/article/ae31ff12743f4a9d9782031d03b8dc43
Autor:
Christophe Van Berckelaer, Steven Van Laere, Seayoung Lee, Michael A Morse, Joseph Geradts, Luc Dirix, Mark Kockx, François Bertucci, Peter Van Dam, Gayathri R Devi
Publikováno v:
Translational Oncology, Vol 43, Iss , Pp 101907- (2024)
Objective: To assess the expression pattern of X-linked inhibitor of apoptosis protein (XIAP), a cellular stress sensor, and delineate the associated changes in the tumor immune microenvironment (TiME) for prognostic value and new therapeutic targets
Externí odkaz:
https://doaj.org/article/439d44debf2b4643bb138313adffcb0b
Cyberattacks from within an organization's trusted entities are known as insider threats. Anomaly detection using deep learning requires comprehensive data, but insider threat data is not readily available due to confidentiality concerns of organizat
Externí odkaz:
http://arxiv.org/abs/2203.02855
Publikováno v:
In Journal of the Indian Chemical Society October 2024 101(10)
Autor:
Mehzabeen, S.M., Gayathri, R.
Publikováno v:
In Biomedical Signal Processing and Control January 2025 99
Autor:
Larisa M. Gearhart-Serna, Brittany A. Mills, Hillary Hsu, Oluwadamilola M. Fayanju, Kate Hoffman, Gayathri R. Devi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Individual environmental contaminants have been associated with breast cancer; however, evaluations of multiple exposures simultaneously are limited. Herein, we evaluated associations between breast cancer summary stages and the Environmenta
Externí odkaz:
https://doaj.org/article/33ce4aeda82a4728b2846c504ee8c45e