Results 41 to 50 of about 71,058 (310)
Computational Mechanism Design for Information Fusion within Sensor Networks
Conventional centralised information fusion and control architectures will be challenged by developments in sensor networks that allow sophisticated autonomous sensors, owned by different stakeholders with individual goals, to interact and share ...
S. Reece +16 more
core +1 more source
A realization of classification success in multi sensor data fusion [PDF]
The field of measurement technology in the sensors domain is rapidly changing due to the availability of statistical tools to handle many variables simultaneously.The phenomenon has led to a change in the approach of generating dataset from sensors ...
Maz Jamilah +13 more
core +1 more source
Multi-Sensor Data Fusion Method Based on Improved Evidence Theory
To achieve autonomous navigation in complex marine environments, unmanned surface vehicles are equipped with a variety of sensors for sensing the surrounding environment and their own state. To address the issue of unsatisfactory multi-sensor information
Shuanghu Qiao +3 more
doaj +1 more source
Multi-sensor data fusion for identifying malaria environmental features [PDF]
Malaria remains a persistent health problem in the cross-border area between French Guiana and Brazil. Various factors like environmental changes, population movements, etc. significantly influence the malaria transmission. In such context, optical and SAR data were used for producing a precise land cover map, including the resting and breeding sites ...
Li, Zhichao +5 more
openaire +2 more sources
UAV Positioning Based on Multi-Sensor Fusion
Real-time and stable positioning data is essential for the UAV to perform various tasks. The traditional multi-sensor data fusion algorithm needs to know the measurement noise of sensor data, and even if there are corresponding adaptive methods to ...
Jing Peng +3 more
doaj +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Tackling Multi-sensory 3D Data Acquisition and Fusion
The development of applications for multi-sensor data fusion typically faces heterogeneous hardware components, a variety of sensing principles and limited computational resources.
Hirzinger, Gerd +7 more
core +1 more source
Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter
This paper presents a new optimal data fusion methodology based on the adaptive fading unscented Kalman filter for multi-sensor nonlinear stochastic systems.
Bingbing Gao +4 more
doaj +1 more source
Multi‐vehicle multi‐sensor occupancy grid map fusion in vehicular networks
Sensing is an essential part in autonomous driving and intelligent transportation systems. It enables the vehicle to better understand itself and its surrounding environment.
Xi Meng, Dongliang Duan, Tao Feng
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source

