Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Lucia Cascone"'
Publikováno v:
IEEE Access, Vol 8, Pp 207404-207414 (2020)
Pepper is a humanoid robot that just embeds the few computational resources for controlling its sensors and actuators, and is not capable of handling big amounts of data or performing in parallel complicate tasks. Aiming at enriching its functionalit
Externí odkaz:
https://doaj.org/article/4ef01cccdf75468b9fd64fd38244c355
Publikováno v:
Journal of Imaging, Vol 8, Iss 11, p 307 (2022)
In recent years, the study of soft biometrics has gained increasing interest in the security and business sectors. These characteristics provide limited biometric information about the individual; hence, it is possible to increase performance by comb
Externí odkaz:
https://doaj.org/article/e04915bcf15e4f208233b6b414be73cb
Publikováno v:
Pattern Recognition Letters. 158:63-70
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:1397-1404
Pepper is a humanoid robot capable of expressing body language, perceiving, and interacting with its surrounding environment, thanks to a wide set of sensors and actuators and exposing capabilities and high-level interfaces for natural interaction wi
Publikováno v:
Journal of Ambient Intelligence & Humanized Computing; Aug2023, Vol. 14 Issue 8, p11239-11261, 23p
Publikováno v:
Future Generation Computer Systems. 125:774-784
In traditional classroom education the teacher can easily perceive or obtain the engagements of the students by observing them. Distance education is affected by the absence of such a feedback coming from expressions and behaviours of the students at
Publikováno v:
Pattern Recognition Letters. 147:55-62
The ability of Deep Neural Networks (DNNs) to make fast predictions with high accuracy made them very popular in real-time applications. DNNs are nowadays in use for secure access to services or mobile devices. However, as DNNs use increased, at the
Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM
Autor:
Lucia Cascone, Saima Sadiq, Saleem Ullah, Seyedali Mirjalili, Hafeez Ur Rehman Siddiqui, Muhammad Umer
Publikováno v:
Big Data Research. 31:100360
Publikováno v:
Pattern Recognition Letters. 140:238-244
The pupil size is a soft biometric trait but in-depth study to analyze it for biometric purposes is lacking in the literature, as well as datasets focused on this field of research are missing. On the basis of these observations, we present an extens