5.12 Altro 1220
Development and characterisation of high-resolution metallic magnetic calorimeter arrays for the ECHo neutrino mass experiment
This work is focused on the development of cryogenic metallic magnetic calorimeter detectors with implanted Ho-163 source for the ECHo (Electron Capture in Ho-163)experiment for the determination of the effective electron neutrino mass by studying the Ho-163 electron capture spectrum. The detector prototype fabricated for the first experimental phase, ECHo-1k, has been fully characterised, in terms of thermodynamic properties, detector response, energy resolution and Ho-163 activity per detec...
From Edge Computing to Edge Intelligence: exploring novel design approaches to intelligent IoT applications
The Internet of Things (IoT) has deeply changed how we interact with our world. Today, smart homes, self-driving cars, connected industries, and wearables are just a few mainstream applications where IoT plays the role of enabling technology. When IoT became popular, Cloud Computing was already a mature technology able to deliver the computing resources necessary to execute heavy tasks (e.g., data analytic, storage, AI tasks, etc.) on data coming from IoT devices, thus practitioners started t...
TAASRAD19 (Trentino-Alto Adige/Südtirol Radar 2019) is a high-resolution radar reflectivity dataset collected by the Civil Protection weather radar of the Trentino South Tyrol Region, in the Italian Alps. The dataset includes 894,916 scans of precipitation from more than 9 years of data, offering a novel resource to develop and benchmark analog ensemble models and machine learning solutions for precipitation nowcasting. Data are expressed as 2D images, considering the maximum reflectivity on ...
Automated planning remains one of the most general paradigms in Artificial Intelligence, providing means of solving problems coming from a wide variety of domains. One of the key factors restricting the applicability of planning is its computational complexity resulting from exponentially large search spaces. Heuristic approaches are necessary to solve all but the simplest problems. In this work, we explore the possibility of obtaining domain-independent heuristic functions using machine lear...
- 5 Altro1249
Data di pubblicazione
- 2020 - 202224
- 2010 - 2019280
- 2000 - 2009661
- 1990 - 1999278
- 1982 - 19896
- Fondazione Civiltà Bresciana2
- Assindustria Trento1
- Università degli studi di Trento1
- Università degli Studi di Trento....1
- semantic Web9
- speech recognition9
- machine learning8
- agent-oriented software engineering7
Accesso al fulltext
- no fulltext1240