Organizations, companies and start-ups need to cope with constant changes on the market
which are difficult to predict. Therefore, the development of new systems to detect significant …

Convolutional neural network (CNN)-based very high-resolution (VHR) image segmentation
has become a common way of extracting building footprints. Despite publicly available …

The case study focuses on evaluating the suitability of roof surfaces in terms of their solar
potential based on their geometric parameters. The selected processing methodology …

The present manuscript proposes a novel method for the measurement of a trajectory of a
falling impact hammer in the dynamic loading of conveyor belts and the determination of …

By infiltrating and retaining stormwater, Blue-Green Infrastructure (BGI) can help to reduce
Combined Sewer Overflows (CSOs), one of the main causes of urban water pollution …

Data collection and large-scale urban audits are challenging and can be time consuming
processes. Geographic information systems can extract and combine relevant data that can …

With the advancement of artificial intelligence, deep learning technology is applied in many
fields. The autonomous car system is one of the most important application areas of artificial …

This proposal introduces advancements in the state-of-the-art solar energy industry by using
LiDAR-based location characterization. The distribution of solar energy across the northern …

Mapping the terrain and the Earth's surface can be performed through non-contact
methoYes, that is correct. ds such as laser scanning. This is one of the most dynamic and …

To analyze the resilience of road infrastructures to natural and anthropic hazards, the spatial
and descriptive data provided by the Italian National Topographic Data Base (NTDB) and …