Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Gian Carlo Cardarilli

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Neuroinformatics|July 9, 2008
Describing different brain computer interface systems through a unique model: a UML implementationLucia Rita Quitadamo, Maria Grazia Marciani, Gian Carlo Cardarilli, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 3, 2007
Performances evaluation and optimization of brain computer interface systems in a copy spelling taskLuigi Bianchi, Lucia Rita Quitadamo, Girolamo Garreffa, et al.
Sensors (Basel, Switzerland)|April 26, 2025
Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA PlatformsUdhaya Mugil Damodarin, Gian Carlo Cardarilli, Luca Di Nunzio, et al.
Scientific Reports|January 23, 2024
Resilient multi-agent RL: introducing DQ-RTS for distributed environments with data lossLorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, et al.
Scientific Reports|September 2, 2021
Author Correction: A pseudo-softmax function for hardware-based high speed image classificationGian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
A UML model for the description of different brain-computer interface systemsLucia Rita Quitadamo, Manuel Abbafati, Giovanni Saggio, et al.
Scientific Reports|July 29, 2021
A pseudo-softmax function for hardware-based high speed image classificationGian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, et al.
Sensors (Basel, Switzerland)|November 26, 2022
Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their PerformanceLorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neuroinformatics|July 9, 2008
Describing different brain computer interface systems through a unique model: a UML implementationLucia Rita Quitadamo, Maria Grazia Marciani, Gian Carlo Cardarilli, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 3, 2007
Performances evaluation and optimization of brain computer interface systems in a copy spelling taskLuigi Bianchi, Lucia Rita Quitadamo, Girolamo Garreffa, et al.
Sensors (Basel, Switzerland)|April 26, 2025
Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA PlatformsUdhaya Mugil Damodarin, Gian Carlo Cardarilli, Luca Di Nunzio, et al.
Scientific Reports|January 23, 2024
Resilient multi-agent RL: introducing DQ-RTS for distributed environments with data lossLorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, et al.
Scientific Reports|September 2, 2021
Author Correction: A pseudo-softmax function for hardware-based high speed image classificationGian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
A UML model for the description of different brain-computer interface systemsLucia Rita Quitadamo, Manuel Abbafati, Giovanni Saggio, et al.
Scientific Reports|July 29, 2021
A pseudo-softmax function for hardware-based high speed image classificationGian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, et al.
Sensors (Basel, Switzerland)|November 26, 2022
Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their PerformanceLorenzo Canese, Gian Carlo Cardarilli, Luca Di Nunzio, et al.
Pageof 1