Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Danilo Cavaliere"'
Autor:
Danilo Cavaliere, Sabrina Senatore
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 876-888 (2022)
Precision agriculture systems collect spectral images from satellites, from which vegetation indices (VIs) can be assessed to monitor vegetation and soil condition. It requires a near-daily data acquisition to perform robust crop monitoring and data
Externí odkaz:
https://doaj.org/article/2ca6f3b9266143cebf6216383a1761d0
Publikováno v:
IEEE Access, Vol 7, Pp 105342-105353 (2019)
Video scene understanding is leading to an increased research investment in developing artificial intelligence technologies, pattern recognition, and computer vision, especially with the advance in sensor technologies. Developing autonomous unmanned
Externí odkaz:
https://doaj.org/article/bdb11b4d3fba4a8d94a05eb9da42aa1f
Social networks, such as Twitter, play like a disinformation spread booster giving the chance to individuals and organizations to influence users’ beliefs on purpose through tweets causing destabilization effects to the community. As a consequence,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e670b10cbd78278d022f40912e1023af
https://reunir.unir.net/handle/123456789/14336
https://reunir.unir.net/handle/123456789/14336
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Autor:
Danilo Cavaliere, Sabrina Senatore
Publikováno v:
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:5153-5165
In recent years, the role of unmanned vehicles (UVs) is increased in many surveillance applications; they are substituting the humans in many risky activities, especially when cooperative tasks from UV team are required. To this purpose, this paper p
Publikováno v:
2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI).
IoT technology spread led to the development of smart solutions for Precision Agriculture, employing multiple smart sensors to acquire and process data to support vegetation monitoring and crucial tasks such as seeding, irrigation, etc. to improve cr
Publikováno v:
Knowledge-Based Systems. 178:163-175
In Video Surveillance age, the monitoring activity, especially from unmanned vehicles, needs some degree of autonomy in the scenario interpretation. Video Analysis tasks are crucial for the target tracking and recognition; anyway, it would be desirab
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49:555-567
Visual tracking supported by unmanned aerial vehicles (UAVs) has generated a lot of interest in recent years, especially in application domains such as surveillance, search for missing persons and traffic monitoring. The major challenges in visual tr
Publikováno v:
IEEE Access, Vol 7, Pp 105342-105353 (2019)
Video scene understanding is leading to an increased research investment in developing artificial intelligence technologies, pattern recognition, and computer vision, especially with the advance in sensor technologies. Developing autonomous unmanned