Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
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 …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
Applications of convolutional neural networks for intelligent waste identification and recycling: A review
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 …
applications of artificial intelligence in waste management have generated a large amount of …
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
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 …
flexible and cost-effective acquisition of very high-resolution imagery. Still, current methods …
[HTML][HTML] Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
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 …
surveys to remote sensing-based methods. These methods tend to focus on economically …
Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)
Z Hao, L Lin, CJ Post, EA Mikhailova, M Li… - ISPRS Journal of …, 2021 - Elsevier
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 …
neural networks (CNNs) are a class of neural networks, which can be used in forest …
A hybrid machine learning model for intrusion detection in VANET
Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …
communication and traffic information exchange, VANET is also vulnerable to different …
Recent advances in Unmanned Aerial Vehicles forest remote sensing—A systematic review. Part II: Research applications
Forest sustainable management aims to maintain the income of woody goods for
companies, together with preserving non-productive functions as a benefit for the …
companies, together with preserving non-productive functions as a benefit for the …
Recent advances in unmanned aerial vehicle forest remote sensing—A systematic review. Part I: A general framework
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 …
range of positive externalities. For sustainable forest planning and management, remote …
A novel deep learning method to identify single tree species in UAV-based hyperspectral images
Deep neural networks are currently the focus of many remote sensing approaches related to
forest management. Although they return satisfactory results in most tasks, some challenges …
forest management. Although they return satisfactory results in most tasks, some challenges …
[HTML][HTML] Investigating customer churn in banking: A machine learning approach and visualization app for data science and management
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 …
services offered by the bank for some time and, after that, end their connection with the bank …