Results 21 to 30 of about 25,248,396 (296)
, 2010 We consider the problem of specifying data structures with complex sharing in a manner that is both declarative and results in provably correct code. In our approach, abstract data types are specified using relational algebra and functional dependencies; a novel fuse operation on relational indexes specifies where the underlying physical data structure
Hawkins, Peter +4 more
openaire +3 more sources
Review of the mathematical foundations of data fusion techniques in surface metrology [PDF]
, 2015 The recent proliferation of engineered surfaces, including freeform and structured surfaces, is challenging current metrology techniques. Measurement using multiple sensors has been proposed to achieve enhanced benefits, mainly in terms of spatial ...
Wang, Jian +4 more
core +1 more source
Notion and structure of sensor data fusion
, 2022 S.1-27Sensor data fusion is an omnipresent phenomenon that existed prior to its technological realization or the scientific reflection on it. In fact, all living creatures, including human beings, by nature or intuitively perform sensor data fusion. Each
Koch, W.
core +1 more source
Data Science Journal, 2018 The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems.
Akiyuki Kawasaki +8 more
doaj +1 more source
Multi-resolution, multi-sensor image fusion: general fusion framework [PDF]
, 2011 Multi-resolution image fusion also known as pansharpening aims to include spatial information from a high resolution image, e.g. panchromatic or Synthetic Aperture Radar (SAR) image, into a low resolution image, e.g.
Palubinskas, Gintautas +3 more
core +1 more source
Frontiers in Ecology and Evolution, 2023 IntroductionOpen-pit coal mining could disrupt the ecosystem and lead to the loss of service values for the ecosystem through direct occupation or indirect impacts on adjacent ecosystems.MethodsIn this research, we combined a new accounting system, gross
Jieqing Shi +6 more
doaj +1 more source
Choosing the Best Sensor Fusion Method: A Machine-Learning Approach
Sensors, 2020 Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliability
Ramon F. Brena +4 more
doaj +1 more source
Recreating Lunar Environments by Fusion of Multimodal Data Using Machine Learning Models
Engineering Proceedings, 2022 The latest satellite infrastructure for data processing, transmission and reception can certainly be improved by upgrading tools used to deal with very large amounts of data from every different sensor incorporated within the space missions.
Ana C. Castillo +5 more
doaj +1 more source
City Data Fusion: Sensor Data Fusion in the Internet of Things
CoRR, 2015 Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. We introduce the concept of IoT and present in detail ten different parameters that govern our sensor ...
Meisong Wang +5 more
openaire +3 more sources
Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods
Remote Sensing, 2016 In this study, a method based on supervised machine learning is proposed to identify village buildings from open high-resolution remote sensing images.
Zhiling Guo +5 more
doaj +1 more source