Results 271 to 280 of about 26,988,257 (328)

Human Activity Recognition With Accelerometer and Gyroscope: A Data Fusion Approach

IEEE Sensors Journal, 2021
This paper compares the three levels of data fusion with the goal of determining the optimal level of data fusion for multi-sensor human activity data.
Michael L. Webber, R. Rojas
semanticscholar   +1 more source

Effective multi-sensor data fusion for chatter detection in milling process.

ISA transactions, 2021
This paper introduces a newly developed multi-sensor data fusion for the milling chatter detection with a cheap and easy implementation compared with traditional chatter detection schemes.
M. Tran, Meng-Kun Liu, M. Elsisi
semanticscholar   +1 more source

A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects

International Journal of Remote Sensing
Numerous remote sensing (RS) systems currently collect data about Earth and its environments. However, each system provides limited data in terms of spatial resolution, spectral information, and other parameters.
F. Samadzadegan, A. Toosi, F. Dadrass Javan   +2 more
semanticscholar   +1 more source

Hyperspectral imaging in combination with data fusion for rapid evaluation of tilapia fillet freshness.

Food Chemistry, 2021
The potential of two different hyperspectral imaging systems (visible near infrared spectroscopy (Vis-NIR) and NIR) was investigated to determine TVB-N contents in tilapia fillets during cold storage.
Hai-Dong Yu, Li-Wei Qing, Dan Yan, G. Xia, Chenghui Zhang, Yong-Huan Yun, Weimin Zhang   +6 more
semanticscholar   +1 more source

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook

Information Fusion
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for sustainable development by harnessing the power of cross-domain data fusion from diverse sources (e.g., geographical, traffic, social media, and environmental data) and ...
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang   +10 more
semanticscholar   +1 more source

Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives.

Comprehensive Reviews in Food Science and Food Safety
In recent years, the food industry has shown a growing interest in the development of rapid and nondestructive analytical methods. However, the utilization of a solitary nondestructive detection technique offers only a constrained extent of physical or ...
Minqiang Guo, Kaiqiang Wang, Hong-Yiou Lin, Lei Wang, Limin Cao, Jianxin Sui   +5 more
semanticscholar   +1 more source

Artificial Intelligence and Data Fusion at the Edge

IEEE Aerospace and Electronic Systems Magazine, 2021
Artificial intelligence (AI), owing to recent breakthroughs in deep learning, has revolutionized applications and services in almost all technology domains including aerospace.
Arslan Munir, Erik Blasch, Jisu Kwon, J. Kong, Alexander J. Aved   +4 more
semanticscholar   +1 more source

Complex Evidence Theory for Multisource Data Fusion

Chinese Journal of Information Fusion
Data fusion is a prevalent technique for assembling imperfect raw data coming from multiple sources to capture reliable and accurate information. Dempster–Shafer evidence theory is one of useful methodologies in the fusion of uncertain multisource ...
Fuyuan Xiao, Junhao Wen, W. Pedrycz, Masayoshi Aritsugi   +3 more
semanticscholar   +1 more source

A comprehensive review of hyperspectral data fusion with lidar and sar data

Annual Reviews in Control, 2021
With the development of remote sensing techniques, the fusion of multimodal data, particularly hyperspectral-Light Detection And Ranging (HS-LiDAR) and hyperspectral-SAR, has become an important research field in numerous application areas. Multispectral,
S. Kahraman, Raphael Bacher
semanticscholar   +1 more source

FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion

IEEE Transactions on Automation Science and Engineering, 2020
Semantic segmentation of urban scenes is an essential component in various applications of autonomous driving. It makes great progress with the rise of deep learning technologies.
Yuxiang Sun, Weixun Zuo, H. Wang, Ming Liu   +3 more
semanticscholar   +1 more source