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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Journal of Heuristics, 28(4), 539-582. External link
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022, May). OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations [Paper]. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina del Rey, Los Angeles, CA, USA. External link
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. (Technical Report n° 2021-09). External link
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case. IEEE Internet of Things Journal, 8(9), 7316-7332. External link
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2020). The covering-assignment problem for swarm-powered ad-hoc clouds : a distributed 3D mapping use-case. (Technical Report n° 2020-28). External link
Delage, E., Gianoli, L. G., & Sanso, B. (2018). A practicable robust counterpart formulation for decomposable functions: A network congestion case study. Operations Research, 66(2), 535-567. External link
Addis, B., Capone, A., Carello, G., Gianoli, L. G., & Sanso, B. (2013, January). A robust optimization approach for energy-aware routing in MPLS networks [Paper]. International Conference on Computing, Networking and Communications (ICNC 2013), San Diego, CA, United states. External link
Addis, B., Capone, A., Carello, G., Gianoli, L. G., & Sanso, B. (2012, October). Energy aware management of resilient networks with shared protection [Paper]. 2nd International Conference on Sustainable Internet and ICT for Sustainability (SustainIT 2012), Pisa, Italy. External link
Addis, B., Capone, A., Carello, G., Gianoli, L. G., & Sanso, B. (2012, September). Multi-period traffic engineering of resilient networks for energy efficiency [Paper]. IEEE Online Conference on Green Communications (GreenCom 2012), Piscataway, NJ, USA. External link
