Results 41 to 50 of about 26,804 (294)

Comparison of dimensionality reduction techniques for the fault diagnosis of mono block centrifugal pump using vibration signals

Engineering Science and Technology, an International Journal, 2014
Bearing fault, Impeller fault, seal fault and cavitation are the main causes of breakdown in a mono block centrifugal pump and hence, the detection and diagnosis of these mechanical faults in a mono block centrifugal pump is very crucial for its reliable
N.R. Sakthivel, Binoy B. Nair, M. Elangovan, V. Sugumaran, S. Saravanmurugan   +4 more
doaj   +1 more source

Fast Tube-Based Robust Compensation Control for Fixed-Wing UAVs

Drones, 2023
When considering the robust control of fixed-wing Unmanned Aerial Vehicles (UAVs), a conflict often arises between addressing nonlinearity and meeting fast-solving requirements.
Lixin Wang, Sizhuang Zheng, Weijia Wang, Hao Wang, Hailiang Liu, Ting Yue   +5 more
doaj   +1 more source

Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley   +1 more source

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park, Eun‐Hyuk Choi, Jorge Otero‐Millan, David S. Zee, Jeong‐Yoon Choi, Ji‐Soo Kim   +5 more
wiley   +1 more source

Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction [PDF]

, 2012
Gisbrecht A, Mokbel B, Hammer B. Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction.
Hammer, Barbara ; https://orcid.org/, B. Mokbel, Mokbel, B., B. Hammer, Hammer, B., Gisbrecht, A., Gisbrecht, Andrej, A. Gisbrecht, Mokbel, Bassam   +8 more
core   +1 more source

Visualization of large-scale user association feature data based on a nonlinear dimensionality reduction method

Nonlinear Engineering
The prosperity of data science and the booming growth of the internet industry have made the analysis and processing of large-scale user-related feature data a particularly important issue in modern society.
Nong Linlin
doaj   +1 more source

A Clustering-Based Dimensionality Reduction Method Guided by POD Structures and Its Application to Convective Flow Problems

Algorithms
Proper orthogonal decomposition (POD) is a widely used linear dimensionality reduction technique, but it often fails to capture critical features in complex nonlinear flows.
Qingyang Yuan, Bo Zhang
doaj   +1 more source

ENSO dynamics in current climate models: an investigation using nonlinear dimensionality reduction [PDF]

Nonlinear Processes in Geophysics, 2008
Linear dimensionality reduction techniques, notably principal component analysis, are widely used in climate data analysis as a means to aid in the interpretation of datasets of high dimensionality.
I. Ross, P. J. Valdes, S. Wiggins
doaj  

Parallel t-SNE Applied to Data Visualization in Smart Cities

IEEE Access, 2020
The growth of smart city applications is increasingly around the world, many cities invest in the development of these systems intending to improve the management and life of their residents.
Maximiliano Araujo Da Silva Lopes, Adriao D. Doria Neto, Allan De Medeiros Martins   +2 more
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source