Results 111 to 120 of about 71,058 (310)
The Research of Multi-sensor Data Fusion Technology
Multi-source information from multi-sensors is very important to command information system. Processed multi-source information can offer useful decision information to commander. On the basis of explaining concept, function and advantage of multi-sensor data fusion, the common model of the data fusion was introduced.
Wen-cheng JIAO +3 more
openaire +2 more sources
Representation Learning and Nature Encoded Fusion for Heterogeneous Sensor Networks
Target detection based on heterogeneous sensor networks is considered in this paper. Fusion problem is investigated to fully take advantage of the information of multi-modal data.
Longwei Wang, Qilian Liang
doaj +1 more source
ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
wiley +1 more source
Fusion of optical and radar data for the extraction of higher quality information
Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection.
Palubinskas, Gintautas +2 more
core
Sensor Data Fusion Framework for Improvement of Temperature Sensor Characteristics
This paper presents a multi-sensor data fusion model for measurement of temperature. The proposed paper puts forward an objective to develop a temperature measuring instrument (a) having improved performance characteristics like sensitivity and linearity
Santhosh KV, Karel De Smet
doaj +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems
Multisensor data fusion and integration is a rapidly evolving research area that requires interdisciplinary knowledge in control theory, signal processing, artificial intelligence, probability and statistics, etc.
Ghahroudi, Mahdi +5 more
core +1 more source
Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging
This narrative critical review addresses class imbalance in medical imaging, particularly within the context of multi-sensor and multi-modal environments, poses a critical challenge to developing reliable AI diagnostic systems.
Da Zhou, Song Gao, Xinrui Huang
doaj +1 more source
Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird +9 more
wiley +1 more source
Multi-sensor data fusion in wireless sensor networks for planetary exploration
The SWIPE (Space Wireless Sensor Networks for Planetary Exploration) project uses Wireless Sensor Networks (WSN) to characterise the surface of the Moon. The envisaged scenario is that hundreds of small wireless sensor nodes dropped onto the Moon surface
Jing, Hongyuan +5 more
core +1 more source

