Emerging issues related to food quality include the need to ensure food safety, detect
adulteration and enable traceability throughout the food supply chain. Such issues must be …

Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …

This survey article provides a synopsis of some of the engineering problems, technological
innovations, robotic development, and automation efforts encountered in the mining …

Nowadays, open-pit mining is the large-scale extraction of valuable ore materials from the
surface with the use of modern mining equipment. If not operated properly, various …

In the field of hyperspectral image classification, deep learning technology, especially
convolutional neural networks, has achieved remarkable progress. However, convolutional …

In the South Field Mine located in the Lignite Center of Western Macedonia, Northern
Greece, a method of photogrammetry was successfully used for map** quickly and …

The architectures based on Multi-Layer Perceptron (MLP) have attracted great attention in
hyperspectral image (HSI) classification recently, due to their simplified and efficient …

New tools for modelling sensor data Page 1 New tools for modelling sensor data Alfonso López
Ruiz A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor …

This paper analyzes partition tree clustering strategies for a computerized class of
hyperspectral scans. Partition tree clustering (percent) strategies are unsupervised getting-to …

This paper analyzes partition tree clustering strategies for a computerized class of
hyperspectral scans. Partition tree clustering (percent) strategies are unsupervised getting-to …