Deep learning on multi sensor data for counter UAV applications—A systematic review
Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …
applications, as they prove to be both autonomous and flexible in a variety of environments …
Challenges and opportunities of multimodality and data fusion in remote sensing
Remote sensing is one of the most common ways to extract relevant information about Earth
and our environment. Remote sensing acquisitions can be done by both active (synthetic …
and our environment. Remote sensing acquisitions can be done by both active (synthetic …
Design and management of manufacturing systems for production quality
Manufacturing companies are continuously facing the challenge of operating their
manufacturing processes and systems in order to deliver the required production rates of …
manufacturing processes and systems in order to deliver the required production rates of …
[HTML][HTML] Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
M Huang, Z Liu, Y Tao - Simulation Modelling Practice and Theory, 2020 - Elsevier
Using multi-source sensing data based on the Internet of Things (IoT) with artificial
intelligence and big data processing technology to achieve predictive maintenance of …
intelligence and big data processing technology to achieve predictive maintenance of …
Multisensor data fusion in dimensional metrology
A Weckenmann, X Jiang, KD Sommer… - CIRP annals, 2009 - Elsevier
Multisensor data fusion in dimensional metrology is used in order to get holistic, more
accurate and reliable information about a workpiece based on several or multiple …
accurate and reliable information about a workpiece based on several or multiple …
[BOOK][B] Applied data analysis and modeling for energy engineers and scientists
TA Reddy, GP Henze - 2011 - Springer
Now in a thoroughly revised and expanded second edition, this classroom-tested text
demonstrates and illustrates how to apply concepts and methods learned in disparate …
demonstrates and illustrates how to apply concepts and methods learned in disparate …
A survey on hybrid human-artificial intelligence for autonomous driving
With the continuous development of Artificial Intelligence (AI), autonomous driving has
become a popular research area. AI enables the autonomous driving system to make a …
become a popular research area. AI enables the autonomous driving system to make a …
Bringing it all together: wearable data fusion
Y Celik, A Godfrey - npj Digital Medicine, 2023 - nature.com
Contemporary wearables like smartwatches are often equipped with advanced sensors and
have associated algorithms to aid researchers monitor physiological outcomes like physical …
have associated algorithms to aid researchers monitor physiological outcomes like physical …
A conceptual model of a smart energy management system for a residential building equipped with CCHP system
Buildings play an important role in the energy consumption sector as reports from the US
Department of Energy (DOE) declare that most of the electricity usage in USA attributed to …
Department of Energy (DOE) declare that most of the electricity usage in USA attributed to …
An intelligent maintenance system for continuous cost-based prioritisation of maintenance activities
WJ Moore, AG Starr - Computers in industry, 2006 - Elsevier
A key aspect of competition in industrial maintenance is the trade-off between cost and risk.
Decision-making is dependent upon up-to-date information about distributed and disparate …
Decision-making is dependent upon up-to-date information about distributed and disparate …