Zobrazeno 1 - 10
of 840
pro vyhledávání: '"P. Ranjitha"'
The holy grail of machine learning is to enable Continual Federated Learning (CFL) to enhance the efficiency, privacy, and scalability of AI systems while learning from streaming data. The primary challenge of a CFL system is to overcome global catas
Externí odkaz:
http://arxiv.org/abs/2411.07959
Class imbalance in training datasets can lead to bias and poor generalization in machine learning models. While pre-processing of training datasets can efficiently address both these issues in centralized learning environments, it is challenging to d
Externí odkaz:
http://arxiv.org/abs/2410.21192
In our previous work, we introduced McKinsey-Tarski algebras (MT-algebras for short) as an alternative pointfree approach to topology. Here we study local compactness in MT-algebras. We establish the Hofmann-Mislove theorem for sober MT-algebras, usi
Externí odkaz:
http://arxiv.org/abs/2401.01015
Wireless embedded edge devices are ubiquitous in our daily lives, enabling them to gather immense data via onboard sensors and mobile applications. This offers an amazing opportunity to train machine learning (ML) models in the realm of wireless devi
Externí odkaz:
http://arxiv.org/abs/2312.08577
Autor:
Hussain, Aadil, Gundapu, Nitheesh, Drugkar, Sarang, Kiran, Suraj, Harshan, J., Prasad, Ranjitha
Reactive injection attacks are a class of security threats in wireless networks wherein adversaries opportunistically inject spoofing packets in the frequency band of a client thereby forcing the base-station to deploy impersonation-detection methods
Externí odkaz:
http://arxiv.org/abs/2311.06564
Autor:
Neetha S. Murthy, Morubagal Raghavendra Rao, Ranjitha Shankare Gowda, A. Tejashree, Nikita Shah
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 18, Iss 4, Pp 2284-2287 (2024)
Strongyloides stercoralis is a nematode typified by a complex replication cycle exhibiting autoinfection, parthenogenesis and a long tenacity of survival in the human host. This infection remains endemic in the humid tropical countries of the world.
Externí odkaz:
https://doaj.org/article/c87accb5d58745d19fa31e0c334ecde0
Autor:
Jayavardhini Bhoopathy, Weslen Vedakumari Sathyaraj, Beryl Vedha Yesudhason, Selvarajan Rajendran, Sankari Dharmalingam, Jayashri Seetharaman, Ranjitha Muthu, Ramachandran Murugesan, Subramanian Raghunandhakumar, Suresh Kumar Anandasadagopan
Publikováno v:
Artificial Cells, Nanomedicine, and Biotechnology, Vol 52, Iss 1, Pp 35-45 (2024)
Fabrication of haemostatic materials with excellent antimicrobial, biocompatible and biodegradable properties remains as a major challenge in the field of medicine. Haemostatic agents play vital role in protecting patients and military individuals du
Externí odkaz:
https://doaj.org/article/dfc37467077942b9a13c8447152113c8
Autor:
Ranjitha Rai, Akshatha R. Shetty, Medha Shree, Ganesha A., Sushmitha C. H., Ganesha H., Nitesh Kumar, Meghana K. Navada
Publikováno v:
Nanocomposites, Vol 10, Iss 1, Pp 417-431 (2024)
This research focused on synthesizing CuO@NiO nanocomposites using a co-precipitation method to explore their antimicrobial, antioxidant, and melamine-sensing capabilities. Nickel oxide (NiO), known for its stability and optical properties, was doped
Externí odkaz:
https://doaj.org/article/56e8bb8479ed42d9b2eb1daa4f1b436c
Autor:
Nanavati, Praharsh, Prasad, Ranjitha
Explainable AI is an evolving area that deals with understanding the decision making of machine learning models so that these models are more transparent, accountable, and understandable for humans. In particular, post-hoc model-agnostic interpretabl
Externí odkaz:
http://arxiv.org/abs/2307.00680
Publikováno v:
Indian Journal of Ophthalmology, Vol 72, Iss 12, Pp 1807-1809 (2024)
Externí odkaz:
https://doaj.org/article/373aa1b538fa4659aa759487e8fd4704