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Wireless for machine learning: A survey
As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
[HTML][HTML] Distributed artificial intelligence: Taxonomy, review, framework, and reference architecture
Artificial intelligence (AI) research and market have grown rapidly in the last few years, and
this trend is expected to continue with many potential advancements and innovations in this …
this trend is expected to continue with many potential advancements and innovations in this …
Edge intelligence for data handling and predictive maintenance in IIOT
The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …
Machine learning methods for IoT and their Future Applications
With the advent of rapid developments, large number of heterogeneous devices is able to
connect with the help of IOT technology. Although IOT possess very complex architecture …
connect with the help of IOT technology. Although IOT possess very complex architecture …
Congestion control in cognitive IoT-based WSN network for smart agriculture
Wireless sensor networking is being used extensively in agricultural activities to increase
productivity and reduce losses in various ways. The greenhouse simplifies the concept of …
productivity and reduce losses in various ways. The greenhouse simplifies the concept of …
Estimation of individual device contributions for incentivizing federated learning
Federated learning (FL) is an emerging technique used to collaboratively train a machine-
learning model using the data and computation resources of mobile devices without …
learning model using the data and computation resources of mobile devices without …
Data transmission reduction formalization for cloud offloading-based IoT systems
Computation offloading is the solution for IoT devices of limited resources and high-cost
processing requirements. However, the network related issues such as latency and …
processing requirements. However, the network related issues such as latency and …
Wireless for machine learning
As data generation increasingly takes place on devices without a wired connection, machine
learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Prioritized transmission control of point cloud data obtained by lidar devices
Smart monitoring, particularly at intersections, is a promising service that is being
considered for the concept of smart cities. A network of light detection and ranging (LIDAR) …
considered for the concept of smart cities. A network of light detection and ranging (LIDAR) …
Pinning, Sorting, and Categorizing Notifications: A Mixed-methods Usage and Experience Study of Mobile Notification-management Features
As smartphone notifications increase, so does the effort required to handle them effectively.
Previous research has proposed various notification management features, but empirical …
Previous research has proposed various notification management features, but empirical …