2 天前 - … Federated Learning (FL) facilitates deep learning model training across … semantic
cluster by calculating the statistical percentage of effective concepts within the same semantic …

9 天前 - … semantic and syntactic features from the text. Simultaneously, it integrates CNN and
BiGRU networks to delve deeper … Given that the deep neural network architecture designed …

11 天前 - … progress in semantic communication systems empowered by deep learning techniques.
It … We employ Deep Neural Network (DNN) to design both the transmitter and receiver. …

11 天前 - … system, where both the input raw data and output inference results are kept on the
edge device. We use image semantic … thanks to the advances in deep learning. Existing …

14 天前 - … Yet, it is challenging to read the original semantics from a binary … Recent
advancements in deep learning show the … In this paper, we attempt to give spatial semantics to …

16 天前 - … Simran, “A visualized botnet detection system based deep learning for the internet
of things networks of smart cities,” IEEE Transactions on Industry Applications, vol. 56, no. 4, …

17 天前 - … are further integrated with machine learning and Internet of Things (IoT… semantic
analysis, and intelligent interaction. These functions are consolidated within a human–machine …

17 天前 - … a pragmatic approach to machine learning systems. It then … machine learning.
Finally, it suggests potential strategies to make progress on quantifying and enhancing machine …

18 天前 - … relevant to tasks and integrating with edge learning [2]–[6]… orbit (LEO) satellite
communication systems for ubiquitous … SC method using deep learningenabled joint source-…

23 天前 - … India has diverse languages that change with demographics and languages
that have limited data availability and semantic differences. Telugu is one of the low-resource …