Results 61 to 70 of about 208,789 (288)
Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspectral ...
Wenzhi Liao +5 more
doaj +1 more source
Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks
A detailed environment perception is a crucial component of automated vehicles. However, to deal with the amount of perceived information, we also require segmentation strategies.
Fischer, Tom +3 more
core +1 more source
Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen +14 more
wiley +1 more source
An Adaptive Filter for Nonlinear Multi-Sensor Systems with Heavy-Tailed Noise
Aiming towards state estimation and information fusion for nonlinear systems with heavy-tailed measurement noise, a variational Bayesian Student’s t-based cubature information filter (VBST-CIF) is designed.
Xiangxiang Dong, Luigi Chisci, Yunze Cai
doaj +1 more source
Fusion of hyperspectral and ground penetrating radar to estimate soil moisture
In this contribution, we investigate the potential of hyperspectral data combined with either simulated ground penetrating radar (GPR) or simulated (sensor-like) soil-moisture data to estimate soil moisture. We propose two simulation approaches to extend
Keller, Sina, Riese, Felix M.
core +1 more source
Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Distributed multi‐target tracking via consensus‐based Arithmetic Average fusion
This paper proposes a multi‐target tracking fusion algorithm based on consensus arithmetic averaging to address the limitations of the sensor detection field of view and information fusion difficulty when tracking multiple targets in a distributed ...
Xin Guan, Yu Lu
doaj +1 more source
Fusion ARTMAP: An Adaptive Fuzzy Network for Multi-Channel Classification [PDF]
Fusion ARTMAP is a self-organizing neural network architecture for multi-channel, or multi-sensor, data fusion. Fusion ARTMAP generalizes the fuzzy ARTMAP architecture in order to adaptively classify multi-channel data.
Asfour, Yousif R. +3 more
core +2 more sources
The slide is written based on the first part of survey paper: A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks, see more in: http://dx.doi.org/10.1155/2015/683701.
openaire +1 more source
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source

