Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives

Y Himeur, B Rimal, A Tiwary, A Amira - Information Fusion, 2022 - Elsevier
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Design and management of manufacturing systems for production quality

M Colledani, T Tolio, A Fischer, B Iung, G Lanza… - Cirp Annals, 2014 - Elsevier
Manufacturing companies are continuously facing the challenge of operating their
manufacturing processes and systems in order to deliver the required production rates of …

A review of theoretical and practical challenges of trusted autonomy in big data

HA Abbass, G Leu, K Merrick - IEEE Access, 2016 - ieeexplore.ieee.org
Despite the advances made in artificial intelligence, software agents, and robotics, there is
little we see today that we can truly call a fully autonomous system. We conjecture that the …

Multisensor data processing in dimensional metrology for collaborative measurement of a laser plane sensor combined to a touch probe

SE Sadaoui, C Mehdi-Souzani, C Lartigue - Measurement, 2022 - Elsevier
Dimensional inspection, which consists in verifying the geometric conformity of parts in terms
of ISO specifications, is an essential step in the product life cycle. In recent years, new …

[Retracted] A Sensor‐Based IoT Data Collection and Marine Economy Collaborative Innovation Method

T Liu, F Wu - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Traditional marine pastures have made great contributions to human beings, but traditional
marine pastures have also caused major harm to the marine natural environment. Modern …

The use of low density high accuracy (LDHA) data for correction of high density low accuracy (HDLA) point cloud

MB Rak, A Wozniak, JRR Mayer - Optics and Lasers in Engineering, 2016 - Elsevier
Coordinate measuring techniques rely on computer processing of coordinate values of
points gathered from physical surfaces using contact or non-contact methods. Contact …

Data fusion for a multi-scale model of a wheat leaf surface: a unifying approach using a radial basis function partition of unity method

RM Whebell, TJ Moroney, IW Turner… - arXiv preprint arXiv …, 2023 - arxiv.org
Realistic digital models of plant leaves are crucial to fluid dynamics simulations of droplets
for optimising agrochemical spray technologies. The presence and nature of small features …

[PDF][PDF] Automatic feature detection and interpretation in borehole data

W Al-Sit - 2015 - core.ac.uk
Detailed characterisation of the structure of subsurface fractures is greatly facilitated by
digital borehole logging instruments, however, the interpretation of which is typically time …

Data fusion algorithm of multilayer neural network by ZigBee protocol architecture

J Qiu, L Zhang, T Fan, Y Wang… - International Journal of …, 2016 - inderscienceonline.com
This paper is based on the hydrological environment monitoring system on wireless sensor
network as the background. We are aiming at the limited network nodes deployment …

一种基于数据融合的组合式温度传感器

胡乃平, 丁纪祥 - 计算机与现代化, 2016 - cam.org.cn
提出一种基于数据融合的组合式温度传感器. 将在线性及稳定性方面具有良好性能的铂电阻温度
传感器与反应速度快, 灵敏度高的热敏电阻温度传感器进行物理组合, 使用联邦卡尔曼滤波算法 …