Results 161 to 170 of about 15,415 (252)
Integrating machine learning, deep learning, and image analysis for seed species classification
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth +6 more
wiley +1 more source
Research on multi-sensor fusion architecture for highway area hazard monitoring based on UAVs. [PDF]
Wu H +6 more
europepmc +1 more source
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban +13 more
wiley +1 more source
Biosafety-cabinet wipe-cleaning assessment system: Integration of visual, thermal, and pressure sensing. [PDF]
Mizuno M +4 more
europepmc +1 more source
ABSTRACT This study presents a multi‐method non‐invasive investigation of an approximately 4‐ha area associated with the long‐occupied coastal settlement of Rocavecchia (Apulia, southern Italy), situated between the prehistoric fortified peninsula and the Hellenistic‐Messapian walls.
Giuseppe Guarino +3 more
wiley +1 more source
Characterization of RGB-Polarization Sensor-Based Cameras. [PDF]
Karge A +3 more
europepmc +1 more source
Solution to the SLAM problem in low dynamic environments using a pose graph and an RGB-D sensor. [PDF]
Lee D, Myung H.
europepmc +1 more source
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source
Rail-BEV: A LiDAR-Centric and Sensor-Aware BEV Perception Framework for Long-Range Railway Obstacle Detection. [PDF]
Huang J +6 more
europepmc +1 more source
ABSTRACT Medieval and early modern drowned villages in the intertidal zone of the Scheldt estuary (the Netherlands) constitute intriguing yet largely understudied components of north‐western Europe's underwater cultural heritage. Despite their high archaeological potential as time capsules of past settlement landscapes, research has remained limited ...
Jan Trachet +9 more
wiley +1 more source

