Results 51 to 60 of about 191,604 (213)

A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification [PDF]

, 2008
Wei N, Flaschel E, Friehs K, Nattkemper TW. A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification. BMC Bioinformatics.
Wei, Ning, Flaschel, Erwin, Nattkemper, Tim Wilhelm ; https://orcid.org/, Nattkemper Tim, Flaschel Erwin, Ning Wei, Tim Nattkemper, Wei Ning, Friehs, Karl, Friehs Karl, Karl Friehs, Erwin Flaschel   +11 more
core   +1 more source

Haar Wavelet Method for the System of Integral Equations

Abstract and Applied Analysis, 2014
We employed the Haar wavelet method to find numerical solution of the system of Fredholm integral equations (SFIEs) and the system of Volterra integral equations (SVIEs).
Hassan A. Zedan, Eman Alaidarous
doaj   +1 more source

Time-Modulated Arrays With Haar Wavelets

IEEE Antennas and Wireless Propagation Letters, 2020
Time-modulated arrays (TMAs) can effectively perform beamsteering over the first positive harmonic pattern by applying progressively delayed versions of stair-step approximations of a sine waveform to the antenna excitations. In this letter, we consider synthesizing such stair-step sine approximations by means of Haar wavelets.
Roberto Maneiro-Catoira, Julio Bregains, Jose A. Garcia-Naya, Luis Castedo   +3 more
openaire   +3 more sources

Detecting Loosening of Bolt‐Flanged Pipe Using Smoothed Pseudo Wigner–Ville Distribution: Digital Twin‐Based Approach Using Convolution Neural Networks

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this paper, an integrated digital twin‐based fault‐diagnosis framework is proposed to detect bolt loosening in flanged pipe connections. The approach combines finite element‐based numerical modeling, experimental modal analysis, and advanced signal processing‐assisted deep learning to achieve reliable loosening detection under operational ...
Milad Shabani Yousefabad, Behzad Totakhaneh Bonab, Morteza Homayoun Sadeghi, Mir Mohammad Ettefagh, Mohammad Reza Chalak Qazani   +4 more
wiley   +1 more source

Haar wavelet fractional derivative [PDF]

Proceedings of the Estonian Academy of Sciences, 2022
In this paper, the fundamental properties of fractional calculus are discussed with the aim of extending the definition of fractional operators by using wavelets. The Haar wavelet fractional operator is defined, in a more general form, independently on the kernel of the fractional integral.
openaire   +3 more sources

Wavelet covariance approach to measure convective boundary‐layer structure

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study introduces a wavelet‐based framework that applies the Haar discrete wavelet transform (DWT) to radiosonde profiles of potential temperature and water vapor mixing ratio for diagnosing convective boundary‐layer (CBL) structure. The method objectively identifies key CBL parameters, including the surface‐layer height, entrainment zone depth ...
Song‐Lak Kang, Cho‐Rong Choi, Jung‐Hee Ryu   +2 more
wiley   +1 more source

Multiresolution Analysis and Haar Wavelets on the Laguerre Hypergroup [PDF]

Mathematical Problems in Engineering, 2009
Let ℍn be the Heisenberg group. The fundamental manifold of the radial function space for ℍn can be denoted by [0, +∞) × ℝ, which is just the Laguerre hypergroup. In this paper the multiresolution analysis on the Laguerre hypergroup 𝕂 = [0, +∞) × ℝ is defined. Moreover the properties of Haar wavelet bases for are investigated.
Xie, Peizhu, He, Jianxun
openaire   +1 more source

The benefit of neighborhood methods for the assimilation of cloud‐affected radiances evaluated in observing‐system simulation experiments

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Neighborhood methods are commonly used in verification to avoid the double‐penalty issue. This study evaluates such methods for the assimilation of infrared and visible satellite observations and extends them to multiscale assimilation. Moreover, a novel technique is tested aimed at mitigating complex biases and structural errors in real‐world model ...
Lukas Kugler, Stefano Serafin, Andrea Hochebner, Nicola Pierotti, Martin Weissmann   +4 more
wiley   +1 more source

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

Journal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation

SmartBot, EarlyView.
An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang, Hanyu Liu, Yunsheng Ma, Jian Shen, Yilin Zheng, Jiayi Wen, Zhigong Song   +6 more
wiley   +1 more source