2 Contributo in Volume

2 Contributo in Volume: [4752] Home page macrotipologia

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2.1 Contributo in volume (Capitolo o Saggio) 4263
2.2 Prefazione/Postfazione 125
2.3 Breve introduzione 59
2.4 Voce (in dizionario o enciclopedia) 165
2.5 Traduzione in volume 3
2.6 Recensione in volume 11
2.7 Schede di catalogo 126

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An Automated Framework Based on UAV and Convolutional Neural Networks for the Detection of Xylella Fastidiosa Disease in Olive Trees

Nonlinear Optics and Saturation Behavior of Quantum Dot Samples Under Continuous Wave Driving

The nonlinear optical response of self-assembled quantum dots (QD) is relevant to the application of QD-based devices in nonlinear optics, all-optical switching, slow light, and self-organization. Theoretical investigations are based on numerical simulations of a spatially and spectrally resolved rate equation model, which takes into account the strong coupling of the quantum dots to the carrier reservoir created by the wetting layer (WL) states. The complex dielectric susceptibility of the g...

Elisabetta Ognibene: A Militant Feminist Designer

The landscape of Italian graphic design in the twentieth century is internationally renowned primarily for being constellated with the many male figures who are considered to be largely responsible for developing the communication of the most important Italian companies between the 1950s and the 1970s. While these designers are famous around the world, there are a myriad of stories in the Italian ‘creative’ panorama that have yet to be explored and deserve to be told, especially those that c...

The COASTLINE Project: Integrating Advanced Geospatial Technologies for Coastal Monitoring and Management

The COASTLINE project, funded by Horizon 2020’s Marie Skłodowska-Curie Actions, is a multidisciplinary initiative designed to advance the monitoring, evaluation, and management of European coastal areas through cutting-edge geospatial technologies. By integrating satellite data, Unmanned Aerial Vehicles, and in-situ measurements, the project aims to create high-resolution and multi-temporal datasets crucial for investigating coastal dynamics, including erosion patterns, ecological shifts, and...

Classifying Remote Sensing Data Through Advanced Dimensionality Reduction Approaches

One major area of interest in the field of urban studies has been the geospatial analysis of urban structures through the classification of remote sensing data. To improve the classification process, it is recommended to use supplementary data in addition to the original satellite bands. Mathematical Morphology provides a variety of tools for the generation of spatial features such as Morphological Profiles, which are employed for the optimal discrimination of pixels present in satellite imag...

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