Challenges in data‐based degradation models for lithium‐ion batteries
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Energy Research"
DOI: 10.1002/er.5196
Abstract: This work summarizes the findings resulting from applying an aging modeling approach to four different capacity loss experimental datasets of lithium‐ion batteries (LIBs). This approach assumes that the degradation trajectory of the capacity is a… read more here.
Keywords: lithium ion; data based; based degradation; ion batteries ... See more keywords
Transcriptome‐wide summary data‐based Mendelian randomization analysis reveals 38 novel genes associated with severe COVID‐19
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Virology"
DOI: 10.1002/jmv.28162
Abstract: Severe COVID‐19 has a poor prognosis, while the genetic mechanism underlying severe COVID‐19 remains largely unknown. We aimed to identify genes that are potentially causally associated with severe COVID‐19. We conducted a summary data‐based Mendelian… read more here.
Keywords: severe covid; covid; analysis; associated severe ... See more keywords
Accelerated Non‐linear Stability Analysis Based on Predictions From Data‐Based Surrogate Models
Sign Up to like & getrecommendations! Published in 2024 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.7649
Abstract: In many applications in computer‐aided engineering, like parametric studies, structural optimization, or virtual material design, a large number of almost similar models must be simulated. Although the individual scenarios may differ only marginally in both… read more here.
Keywords: critical points; method; analysis; reanalysis ... See more keywords
Sampled‐data‐based disturbance compensation distributed optimization control for a class of multi‐agent systems
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7336
Abstract: This article investigates the distributed optimization feedback control for a family of multi‐agent systems with external disturbances. For physical implementation in the scenario that only the sampled‐state information is available, a novel disturbance compensation distributed… read more here.
Keywords: sampled data; control; multi agent; disturbance ... See more keywords
Data‐based nonlinear learning control for aircraft trajectory tracking via Gaussian process regression
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7526
Abstract: In this article, a new data‐based iterative learning control (ILC) algorithm is proposed via Gaussian process regression (GPR) to accomplish the trajectory tracking objective of aircraft subject to completely unknown dynamics and strong nonlinearities. The… read more here.
Keywords: aircraft; gaussian process; learning control; via gaussian ... See more keywords
Data‐Based Online Linear Quadratic Gaussian Control From Noisy Data
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7886
Abstract: This article addresses the online state estimation and control problems of unknown linear time‐invariant systems subject to process and measurement noise. The solution is to design a finite‐horizon linear quadratic Gaussian (LQG) controller from noisy… read more here.
Keywords: linear quadratic; control; finite horizon; data based ... See more keywords
Data-based analysis of multimodal partial cavity shedding dynamics
Sign Up to like & getrecommendations! Published in 2020 at "Experiments in Fluids"
DOI: 10.1007/s00348-020-2940-x
Abstract: Abstract Time-resolved X-ray densitometry void fraction measurements and accompanying acoustic emissions have revealed that partial cavity shedding on a hydrofoil can be multimodal, with spontaneous changes in shedding sequence (referred to here as cavitation style)… read more here.
Keywords: partial cavity; cavity shedding; analysis; cavity ... See more keywords
A data-based certification approach for additively manufactured metal aircraft components
Sign Up to like & getrecommendations! Published in 2025 at "Progress in Additive Manufacturing"
DOI: 10.1007/s40964-025-01107-3
Abstract: The aviation industry is changing towards more sustainable production, service and maintenance of aircraft. Additionally, more and diverse aircraft are developed, especially considering UAVs and VTOLs. This results in more diverse components. Additive manufacturing (AM)… read more here.
Keywords: based certification; aircraft; certification; approach additively ... See more keywords
Novel 1,3,4-thiadiazoles inhibit colorectal cancer via blockade of IL-6/COX-2 mediated JAK2/STAT3 signals as evidenced through data-based mathematical modeling.
Sign Up to like & getrecommendations! Published in 2018 at "Cytokine"
DOI: 10.1016/j.cyto.2018.03.026
Abstract: We attempted a preclinical study using DMH-induced CRC rat model to evaluate the antitumor potential of our recently synthesized 1,3,4-thiadiazoles. The molecular insights were confirmed through ELISA, qRT-PCR and western blot analyses. The CRC condition… read more here.
Keywords: jak2 stat3; based mathematical; mathematical modeling; cox ... See more keywords
Data-based Iterative Human-in-the-loop Robot-Learning for Output Tracking
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.2142
Abstract: Abstract This article develops a data-based approach for improved iterative robot-learning for output-tracking from novice human-in-the-loop demonstrations. While nominal human-response models can be used to improve iterative learning, the convergence can be slow due to… read more here.
Keywords: learning output; human loop; data based; output tracking ... See more keywords
Agreement was moderate between data-based and opinion-based assessments of biases affecting randomized trials within meta-analyses
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Epidemiology"
DOI: 10.1016/j.jclinepi.2020.05.009
Abstract: Background and Objective Randomized trials included in meta-analyses are often affected by bias caused by methodological flaws or limitations, but the degree of bias is unknown. Two proposed methods adjust the trial results for bias… read more here.
Keywords: agreement; trial; meta; data based ... See more keywords