( en | de | ru )

 

Disambiguation of "Meroni, Giovanni"

Author of the publication

copydeleteadd this publication to your clipboard
Retrieving Sensors Data in Smart Buildings Through Services: A Similarity Algorithm.

, , , and . ICSOC Workshops, volume 8954 of Lecture Notes in Computer Science, page 281-291. Springer, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Giovanni Natale

Giovanni Bacigalupo

Giovanni Lamura

Giovanni Falcone

Giovanni Caselotti

 

Other publications of authors with the same name

A Middleware for Hybrid Blockchain Applications: Towards Fast, Affordable, and Accountable Integration., , , and . ICSOC (1), volume 14419 of Lecture Notes in Computer Science, page 307-322. Springer, (2023)Artifact-Driven Process Monitoring at Scale., and . ICSOC (2), volume 14420 of Lecture Notes in Computer Science, page 3-12. Springer, (2023)Trusted Artifact-Driven Process Monitoring of Multi-party Business Processes with Blockchain., , and . BPM (Blockchain and CEE Forum), volume 361 of Lecture Notes in Business Information Processing, page 55-70. Springer, (2019)Improving Health Monitoring With Adaptive Data Movement in Fog Computing., , , , , , , , and . Frontiers Robotics AI, (2020)On the adoption of blockchain for business process monitoring., , and . Softw. Syst. Model., 21 (3): 915-937 (2022)Artifact-driven business process monitoring.. Polytechnic University of Milan, Italy, (2018)Retrieving Sensors Data in Smart Buildings Through Services: A Similarity Algorithm., , , and . ICSOC Workshops, volume 8954 of Lecture Notes in Computer Science, page 281-291. Springer, (2014)Improving mobile business process monitoring with enhanced NFV MANO: a method to elicit connectivity requirements from process models., , , and . SAC, page 69-76. ACM, (2020)Human in the (Process) Mines (Dagstuhl Seminar 23271)., , , , and . Dagstuhl Reports, 13 (7): 1-33 (2023)Artifact-Driven Business Process Monitoring - A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications. Lecture Notes in Business Information Processing Springer, (2019)