Facial recognition is an artificial intelligence-based technology that, like many other forms of artificial intelligence, suffers from an accuracy deficit.
resource usage time series data in cloud platforms often contain noise caused by physical machine failures and other abnormal conditions. To mitigate the impact of such anomalies on prediction outcomes, Bi et al. [33] applied the Savitzky-Golay filter to smooth the load sequences, thereby eliminat...
resource usage time series data in cloud platforms often contain noise caused by physical machine failures and other abnormal conditions. To mitigate the impact of such anomalies on prediction outcomes, Bi et al. [33] applied the Savitzky-Golay filter to smooth the load sequences, thereby eliminat...
In addition to reinforcing the confidentiality of the aggregated data, MPC—and more precisely its private set intersection protocol [10]—can be applied to identify the intersection of feature spaces between clients in vertically partitioned data. In scenarios where a group of clients consists of ...
(4) Other methods, such as semi-supervised learning methods [3,15,17,18,19,20,21] or meta-learning methods [11,14], can also be applied to the few-shot learning problem. The above methods can be combined for better results when the training data is scant. Because the data acquisition...
this paper presents a systematic review about how DL is being applied to solve some 5G issues. Differently from the current literature, we examine data from the last decade and the works that address diverse 5G specific problems, such as physical medium state estimation, network traffic prediction...
This encouraged researchers to make the effort to automatically extract knowledge from visible light images moving, this way, systems complexity from the hardware to the software side. Image processing began then to be applied to the eye image [53] and, since then, a plethora of new methods ...