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pro vyhledávání: '"Mandala'"'
Reinforcement learning (RL) policies are prone to high-frequency oscillations, especially undesirable when deploying to hardware in the real-world. In this paper, we identify, categorize, and compare methods from the literature that aim to mitigate h
Externí odkaz:
http://arxiv.org/abs/2410.16632
For studying intrusion detection data we consider data points referring to individual IP addresses and their connections: We build networks associated with those data points, such that vertices in a graph are associated via the respective IP addresse
Externí odkaz:
http://arxiv.org/abs/2408.09788
Autor:
Subianta Mandala
Publikováno v:
Jurnal Penelitian Hukum De Jure, Vol 24, Iss 3, Pp 321-334 (2024)
This paper discusses some strategic issues about national legal development, which is viewed in the light of legal theory and philosophy. The need to replace the laws of the colonial regime has been discussed for quite some time, and in fact, since I
Externí odkaz:
https://doaj.org/article/071a91cc2abc4e40aea5259f5890d1d1
Autor:
Katta Sriram, Mahesh Mandala, Rakesh Miriyala, Anirudh Suseel Nalumaru, Kattamreddy Ananth Rupesh
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 11, Pp 1192-1198 (2024)
Background: Paraquat is a widely used herbicide that raises a significant public health concern due to its extreme toxicity even at low doses and its potential for criminal poisoning. However, most of the research is concentrated on pulmonary toxicit
Externí odkaz:
https://doaj.org/article/5949a70294294dfaa9e4344b8f419e9e
Autor:
Mandala, Sujith K
Publikováno v:
AIH 2024, 1(1), 57:67
Fetal health classification is a critical task in obstetrics, enabling early identification and management of potential health problems. However, it remains challenging due to data complexity and limited labeled samples. This research paper presents
Externí odkaz:
http://arxiv.org/abs/2310.00505
Autor:
Xiao, Xuesu, Xu, Zifan, Warnell, Garrett, Stone, Peter, Guinjoan, Ferran Gebelli, Rodrigues, Romulo T., Bruyninckx, Herman, Mandala, Hanjaya, Christmann, Guilherme, Blanco-Claraco, Jose Luis, Rai, Shravan Somashekara
The 2nd BARN (Benchmark Autonomous Robot Navigation) Challenge took place at the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023) in London, UK and continued to evaluate the performance of state-of-the-art autonomous ground n
Externí odkaz:
http://arxiv.org/abs/2308.03205
Navigation in the real-world is hard and filled with complex scenarios. The Benchmark Autonomous Robot Navigation (BARN) Challenge is a competition that focuses on highly constrained spaces. Teams compete using a standard platform in a simulation and
Externí odkaz:
http://arxiv.org/abs/2307.14580
Autor:
Mandala, Sujith K
As machine learning models become increasingly prevalent in medical diagnostics, the need for interpretability and transparency becomes paramount. The XAI Renaissance signifies a significant shift in the field, aiming to redefine the interpretability
Externí odkaz:
http://arxiv.org/abs/2306.01668