Zobrazeno 1 - 10
of 4 576
pro vyhledávání: '"Mandala A"'
Publikováno v:
Althea Medical Journal, Vol 9, Iss 4 (2022)
Background: Technicians working in high burden tuberculosis (TB) laboratories pose a higher risk of being infected by Mycobacterium tuberculosis from clinical samples. Contamination control is mandatory to detect the release of bacteria into the work
Externí odkaz:
https://doaj.org/article/2c9f043ba22a4ecf8d8f430ae00f0f50
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:
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
Autor:
Bevilacqua, Giuseppe, Biancalana, Valerio, Carucci, Mario, Cecchi, Roberto, Chessa, Piero, Donniacuo, Aniello, Mandala', Marco, Stiaccini, Leonardo, Viberti, Francesca
Publikováno v:
IEEE transactions on biomedical engineering (2023)
A wireless, wearable magnetic eye tracker is described and characterized. The proposed instrumentation enables simultaneous evaluation of eye and head angular displacements. Such a system can be used to determine the absolute gaze direction as well a
Externí odkaz:
http://arxiv.org/abs/2305.09289
Autor:
Mandala Ariani, Ritva Santoso Amirani
Publikováno v:
SHS Web of Conferences, Vol 41, p 06001 (2018)
The aim of this study is to assess five daylighting calculation method commonly used in architectural study. The methods used include hand calculation methods (SNI/DPMB method and BRE Daylighting Protractors), scale models studied in an artificial sk
Externí odkaz:
https://doaj.org/article/3fd496d35fb541d897299feeb3ae243a
Covariance matrices of length power functionals of random geometric graphs -- an asymptotic analysis
Asymptotic properties of a vector of length power functionals of random geometric graphs are investigated. More precisely, its asymptotic covariance matrix is studied as the intensity of the underlying homogeneous Poisson point process increases. Thi
Externí odkaz:
http://arxiv.org/abs/2207.05450