Remote SensingGlobal Navigation Satellite Systems (GNSS), benefiting from global coverage, all-weather operation, high precision, and high temporal resolution, have progressively become a key technology in natural hazard monitoring and early warning systems.
Yongfei Yang +5 more
doaj +1 more source
A chip scale atomic clock driven receiver for multi-constellation GNSS
, 2013 This paper presents the design and implementation of a Chip Scale Atomic Clock (CSAC) driven dual-channel Digitally Configurable Receiver (DCR) for Global Navigation Satellite Systems (GNSS).
Berry, R. +5 more
core +1 more source
Identification of spoofed GNSS signal from carrier phase measurements with multiple antennas [PDF]
, 2022 GNSS-dependent positioning, navigation and timing synchronization procedures have a significant impact on everyday life. Therefore, such a widely used system is becoming an attractive target for terrorists and hackers.
Reginato, Davide
core
Optimizing mowing strategies for controlling Lupinus polyphyllus Lindl. in roadside habitats
Restoration Ecology, EarlyView.Abstract Introduction Road verges provide refuge habitats for semi‐natural grassland species but can also facilitate the spread of invasive alien plant species such as Lupinus polyphyllus Lindl., which negatively impacts biodiversity. Objectives We studied how different mowing regimes affect L.
Elin L. Blomqvist +2 more
wiley +1 more source
Multi-GNSS-Weighted Interpolated Tropospheric Delay to Improve Long-Baseline RTK Positioning. [PDF]
Sensors (Basel), 2022 Mirmohammadian F +3 more
europepmc +1 more source
BQC: A new multi-GNSS data quality checking toolkit
, 2014 Multi-GNSS networks, for example M-GEX and iGMAS, are set up and grow quickly with the development of new navigation systems and multi-GNSS receivers. It is unavoidable that GNSS signals are deteriorated by several error sources.
Tang, G. (author) +5 more
core
Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction
International Transactions in Operational Research, Volume 34, Issue 1, Page 429-459, January 2027.Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer +3 more
wiley +1 more source
Instantaneous Best Integer Equivariant Position Estimation Using Google Pixel 4 Smartphones for Single- and Dual-Frequency, Multi-GNSS Short-Baseline RTK. [PDF]
Sensors (Basel), 2022 Yong CZ +4 more
europepmc +1 more source
Advanced Computing, Volume 1, Issue 1, December 2026.Reliability of training inputs is essential for hardware‐native neuromorphic learning, as faulty data in sensor fusion generates false triggers due to wrong conductance updates. This work presents a reliability‐aware framework ensuring only trustworthy sensor inputs participate in training, preventing false associations and improving robust decision ...
Tauseef Ejaz +2 more
wiley +1 more source
Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha +3 more
wiley +1 more source