Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …

With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …

The use of unmanned aerial vehicles (UAVs) in vegetation remote sensing allows a time-
flexible and cost-effective acquisition of very high-resolution imagery. Still, current methods …

Tree-crown and height are primary tree measurements in forest inventory. Convolutional
neural networks (CNNs) are a class of neural networks, which can be used in forest …

During the last two decades, forest monitoring and inventory systems have moved from field
surveys to remote sensing-based methods. These methods tend to focus on economically …

Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …

Customer attrition in the banking industry occurs when consumers quit using the goods and
services offered by the bank for some time and, after that, end their connection with the bank …

The escalating waste volume due to urbanization and population growth has underscored
the need for advanced waste sorting and recycling methods to ensure sustainable waste …

Forest sustainable management aims to maintain the income of woody goods for
companies, together with preserving non-productive functions as a benefit for the …

Natural, semi-natural, and planted forests are a key asset worldwide, providing a broad
range of positive externalities. For sustainable forest planning and management, remote …