Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
Intelligent delay-aware partial computing task offloading for multiuser industrial Internet of Things through edge computing
A hybrid deep learning architecture for privacy-preserving mobile analytics
Internet-of-Things (IoT) devices and applications are being deployed in our homes and
workplaces. These devices often rely on continuous data collection to feed machine learning …
workplaces. These devices often rely on continuous data collection to feed machine learning …
Network attacks detection methods based on deep learning techniques: a survey
With the development of the fifth‐generation networks and artificial intelligence
technologies, new threats and challenges have emerged to wireless communication system …
technologies, new threats and challenges have emerged to wireless communication system …
Diagnosis of skin diseases in the era of deep learning and mobile technology
E Goceri - Computers in Biology and Medicine, 2021 - Elsevier
Efficient methods developed with deep learning in the last ten years have provided
objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate …
objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate …