Results 31 to 40 of about 535,764 (342)
Estimating Body Segment Orientation by Applying Inertial and Magnetic Sensing Near Ferromagnetic Materials [PDF]
, 2007 Inertial and magnetic sensors are very suitable for ambulatory monitoring of human posture and movements. However, ferromagnetic materials near the sensor disturb the local magnetic field and, therefore, the orientation estimation.
Baten, Chris T.M. +2 more
core +3 more sources
Applied Sciences, 2019 To reduce the negative effect on sound source localization when the source is at an extreme angle and improve localization precision and stability, a theoretical model of a three-plane five-element microphone array is established, using time-delay values
Hongyan Xing, Xu Yang
doaj +1 more source
Toward reduction of artifacts in fused images [PDF]
, 2011 Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e.artifacts, in the resulting fusedimages. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or ...
Alonso +44 more
core +2 more sources
Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images
, 2014 A Semi-supervised Segmentation Fusion algorithm is proposed using consensus and distributed learning. The aim of Unsupervised Segmentation Fusion (USF) is to achieve a consensus among different segmentation outputs obtained from different segmentation ...
Ozay, Mete
core +1 more source
Time-Domain Data Fusion Using Weighted Evidence and Dempster–Shafer Combination Rule: Application in Object Classification [PDF]
, 2019 To apply data fusion in time-domain based on Dempster–Shafer (DS) combination rule, an 8-step algorithm with novel entropy function is proposed. The 8-step algorithm is applied to time-domain to achieve the sequential combination of time-domain data ...
Anwar, Sohel, Khan, Md Nazmuzzaman
core +1 more source
On the Dynamic Selection of Biometric Fusion Algorithms [PDF]
IEEE Transactions on Information Forensics and Security, 2010 Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion scheme when 1) the number of training samples is limited, thereby affecting the use of a purely density-based scheme and the likelihood ratio test statistic; 2) the output of ...
Mayank Vatsa +3 more
openaire +1 more source
Collaborative spectrum sensing optimisation algorithms for cognitive radio networks [PDF]
, 2010 The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio.
Arshad, Kamran +2 more
core +4 more sources
Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
World Electric Vehicle JournalIn order to solve the problems of traditional RRT algorithms that are too random in planning, have low planning efficiency, and have insufficient security, this paper proposes an algorithm that fuses APF and the improved bidirectional RRT* algorithm and ...
Zijian Bian, Gang Li, Xizheng Wang
doaj +1 more source
4D Multi-atlas Label Fusion using Longitudinal Images
, 2017 Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have shown more than 10% variability.
Huo, Yuankai +2 more
core +1 more source