Robustness and Reliability When Training With Noisy Labels
CoRR, 2021 Labelling of data for supervised learning can be costly and time-consuming and the risk of incorporating label noise in large data sets is imminent. When training a flexible discriminative model using a strictly proper loss, such noise will inevitably shift the solution towards the conditional distribution over noisy labels.
Amanda Olmin, Fredrik Lindsten
openaire +4 more sources
Reliability assessment and failure mode analysis of MEMS accelerometers for space applications [PDF]
, 2022 S.846-854In the present work, the reliability assessment of capacitive MEMS accelerometers of 3 different suppliers (codenamed A, B, and C) for their use in space applications was performed.
Pejchal, V. +7 more
core +1 more source
On the Robustness and Reliability in the Pose Deformation System of Mobile Robots
IEEE Access, 2018 A major vulnerability of mobile robots operating in more environments is their fragility in facing disturbances. A two-fold solution is proposed in this paper.
Jingjing Cui +4 more
doaj +1 more source
Increasing the Robustness of the Bayesian Analysis [PDF]
, 2015 The reliability assessment of heritage structures represents a complex issue beyond traditional assessment procedures. Probabilistic methods and Bayesian updating techniques are often invoked in order to estimate the actual probability of failure ...
Marsili F. +4 more
core +1 more source
Bayesian Estimation of System Reliability Models Using Monte-Carlo Technique of Simulation
Journal of Statistical Theory and Applications (JSTA), 2021 This paper discusses the problem of how Monte-Carlo simulation method is deal with Bayesian estimation of reliability of system of n s-independent two-state component.
Kirti Arekar, Rinku Jain, Surender Kumar
doaj +1 more source
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-Based Forecasting Using Statistical Distance Measures [PDF]
, 2023 289301Reliability estimation of Machine Learning (ML) models is becoming a crucial subject. This is particularly the case when such models are deployed in safety-critical applications, as the decisions based on model predictions can result in hazardous ...
Akram, Mohammed Naveed +4 more
core +1 more source
Autonomous Scheduling for Reliable Transmissions in Industrial Wireless Sensor Networks
Energies, 2023 Deploying Internet of Things (IoT) on low-power lossy wireless sensor/actuator networks (LLN) in harsh industrial environments presents challenges such as dynamic link qualities due to noise, signal attenuations and spurious interferences.
Armaghan Darbandi, Myung-Kyun Kim
doaj +1 more source
Inconsistencies Among Spectral Robustness Metrics [PDF]
, 2019 Network robustness plays a critical role in the proper functioning of modern society. It is common practice to use spectral metrics, to quantify the robustness of networks.
Xiangrong Wang +7 more
core +1 more source
Ensuring safety in highly automated vehicles : a review of testing and validation methods for robustness and reliability [PDF]
, 2023 The future of mobility is set to be reformed as the rapidly increasing use of driver assistance systems and highly automated vehicles (HAVs) show their great potential.
Senn, Christoph +4 more
core +1 more source
Sensors, 2021 This paper proposes a method to embed and extract a watermark on a digital hologram using a deep neural network. The entire algorithm for watermarking digital holograms consists of three sub-networks.
Ji-Won Kang +6 more
doaj +1 more source