Sensor reliability in cyber-physical systems using internet-of-things data: A review and case study
Nowadays, reliability of sensors is one of the most important challenges for widespread
application of Internet-of-things data in key emerging fields such as the automotive and …
application of Internet-of-things data in key emerging fields such as the automotive and …
Unmanned Aerial Vehicle (UAV)-Based Map** of Acacia saligna Invasion in the Mediterranean Coast
Remote Sensing (RS) is a useful tool for detecting and map** Invasive Alien Plants (IAPs).
IAPs map** on dynamic and heterogeneous landscapes, using satellite RS data, is not …
IAPs map** on dynamic and heterogeneous landscapes, using satellite RS data, is not …
Evidential data integration to produce porphyry Cu prospectivity map, using a combination of knowledge and data‐driven methods
Producing an accurate and valid mineral prospectivity map is one of the most significant
parts of mineral exploration studies. For this purpose, it is needed to obtain valid evidential …
parts of mineral exploration studies. For this purpose, it is needed to obtain valid evidential …
Predictive Prospecting Using Remote Sensing in a Mountainous Terrestrial Volcanic Area, in Western Bangongco–Nujiang Mineralization Belt, Tibet
L Bai, J Dai, Y Song, Z Liu, W Chen, N Wang, C Wu - Remote Sensing, 2023 - mdpi.com
The Bangongco–Nujiang metallogenic belt of Tibet is a main suture zone in the Qinghai–
Tibet Plateau, which is known as an important porphyry–epithermal–skarn Cu-polymetallic …
Tibet Plateau, which is known as an important porphyry–epithermal–skarn Cu-polymetallic …
Airborne Hyperspectral Images and Machine Learning Algorithms for the Identification of Lupine Invasive Species in Natura 2000 Meadows
A Sabat-Tomala, E Raczko, B Zagajewski - Remote Sensing, 2024 - mdpi.com
The map** of invasive plant species is essential for effective ecosystem control and
planning, especially in protected areas. One of the widespread invasive plants that threatens …
planning, especially in protected areas. One of the widespread invasive plants that threatens …
Synergetic use of unmanned aerial vehicle and satellite images for detecting non-native tree species: An insight into Acacia saligna invasion in the Mediterranean …
Invasive alien plants (IAPs) are increasingly threatening biodiversity worldwide; thus, early
detection and monitoring tools are needed. Here, we explored the potential of unmanned …
detection and monitoring tools are needed. Here, we explored the potential of unmanned …
Spectral characteristics of talc and mineral abundance map** in the Jahazpur Belt of Rajasthan, India using AVIRIS-NG data
ABSTRACT Spaceborne data with Advanced Spaceborne Thermal Emission and Reflection
Radiometer (ASTER) Short Wave Infrared (SWIR) bands have been used worldwide in …
Radiometer (ASTER) Short Wave Infrared (SWIR) bands have been used worldwide in …
The synergistic use of WorldView-3 and EO1-Hyperion data for the identification of lineaments and hydrothermal alteration minerals in the Chadormalu iron oxide …
Hyperspectral and high spatial resolution sensors allow for better discrimination of
geological features and combining the products of these two kinds of sensors hypothetically …
geological features and combining the products of these two kinds of sensors hypothetically …
Automated classification of valid and invalid satellite derived bathymetry with random forest
Recent decades have seen rapid growth in algorithms and workflows for generating
bathymetry from multispectral satellite imagery, with the output typically referred to as …
bathymetry from multispectral satellite imagery, with the output typically referred to as …
Development of an interactive web-based knowledge management platform for major maintenance activities: case study of cement manufacturing system
The expectations of organizations within industries that perform MoOSTs when adopting
knowledge management (KM) as part of their organizational process are to improve the …
knowledge management (KM) as part of their organizational process are to improve the …