Results 71 to 80 of about 346,567 (317)

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

SCADA based nonparametric models for condition monitoring of a wind turbine

The Journal of Engineering, 2019
High operation and maintenance costs for offshore wind turbines push up the LCOE of offshore wind energy. Unscheduled maintenance due to unanticipated failures is the most prominent driver of the maintenance cost which reinforces the drive towards ...
Ravi Kumar Pandit, David Infield, David Infield   +2 more
doaj   +1 more source

Ground Moving Target Tracking Filter Considering Terrain and Kinematics

Sensors, 2021
This paper addresses ground target tracking (GTT) for airborne radar. Digital terrain elevation data (DTED) are widely used for GTT as prior information under the premise that ground targets are constrained on terrain.
Do-Un Kim, Woo-Cheol Lee, Han-Lim Choi, Joontae Park, Jihoon An, Wonjun Lee   +5 more
doaj   +1 more source

Deep Convolutional Gaussian Processes [PDF]

, 2020
We propose deep convolutional Gaussian processes, a deep Gaussian process architecture with convolutional structure. The model is a principled Bayesian framework for detecting hierarchical combinations of local features for image classification. We demonstrate greatly improved image classification performance compared to current Gaussian process ...
Heinonen Markus, Kaski Samuel, Blomqvist Kenneth   +2 more
openaire   +2 more sources

Derivative observations in Gaussian Process models of dynamic systems [PDF]

, 2002
Gaussian processes provide an approach to nonparametric modelling which allows a straightforward combination of function and derivative observations in an empirical model.
Murray-Smith , R., Leithead, WE, Leith, D, Solak, E., Leithead, W.E., Leithead , W., Rasmussen, C., ,, Rasmussen, C.E., Leith, D., Rasmussen, CE, Murray-Smith, R., Rasmusson, C., Leith, D.J., Solak, E, Murray Smith, R   +15 more
core  

Kinect posture reconstruction based on a local mixture of Gaussian process models

, 2016
Depth sensor based 3D human motion estimation hardware such as Kinect has made interactive applications more popular recently. However, it is still challenging to accurately recognize postures from a single depth camera due to the inherently noisy data ...
Shum, Hubert P.H., Shum, Hubert P. H., Leung, Howard, Liu, Zhiguang, Zhou, Liuyang   +4 more
core   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Nonlinear deformation prediction of tunnel surrounding rock with computational intelligence approaches

Geomatics, Natural Hazards & Risk, 2020
Deformation of surrounding rock is widely monitored to discover surrounding rock behaviors for purpose of event forecasting. This article aims to present a comparative study on surrounding rock nonlinear deformation prediction using computational ...
Peng He, Fei Xu, Shang-qu Sun
doaj   +1 more source

Data-Driven Approaches for Tornado Damage Estimation with Unpiloted Aerial Systems

Remote Sensing, 2021
Tornado damage estimation is important for providing insights into tornado studies and assisting rapid disaster response. However, it is challenging to precisely estimate tornado damage because of the large volumes of perishable data. This study presents
Zhiang Chen, Melissa Wagner, Jnaneshwar Das, Robert K. Doe, Randall S. Cerveny   +4 more
doaj   +1 more source

Warped Gaussian process modelling of transcriptional regulation [PDF]

, 2012
This article extends recent work on Gaussian process modelling of transcriptional regulation, which assumed additive Gaussian noise of constant variance, to heteroscedastic noise.
Husmeier, D., Ji, R.
core