Efficient data aggregation with node clustering and extreme learning machine for WSN
I Ullah, HY Youn - The Journal of Supercomputing, 2020 - Springer
Wireless sensor network is effective for data aggregation and transmission in IoT
environment. Here, the sensor data often contain a significant amount of noises or …
environment. Here, the sensor data often contain a significant amount of noises or …
An adaptive bayesian system for context-aware data fusion in smart environments
The adoption of multi-sensor data fusion techniques is essential to effectively merge and
analyze heterogeneous data collected by multiple sensors, pervasively deployed in a smart …
analyze heterogeneous data collected by multiple sensors, pervasively deployed in a smart …
Twitter analysis for real-time malware discovery
In recent years, the increasing number of cyberattacks has gained the development of
innovative tools to quickly detect new threats. A recent approach to this problem is to …
innovative tools to quickly detect new threats. A recent approach to this problem is to …
An efficient data aggregation and outlier detection scheme based on radial basis function neural network for WSN
Wireless sensor network (WSN) is used for data collection and transmission in IoT
environment. Since it consists of a large number of sensor nodes, a significant amount of …
environment. Since it consists of a large number of sensor nodes, a significant amount of …
Smartphone data analysis for human activity recognition
In recent years, the percentage of the population owning a smartphone has increased
significantly. These devices provide the user with more and more functions, so that anyone …
significantly. These devices provide the user with more and more functions, so that anyone …
Simulation of enterprise accounting information system based on improved neural network and cloud computing platform
J Li - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
With the development of science and technology and the application of big data technology,
a new computing model based on the Internet has gradually been applied to all levels of …
a new computing model based on the Internet has gradually been applied to all levels of …
Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges
The advent of pervasive computing and ambient intelligence has opened up new
possibilities for the development of intelligent systems that can adapt to the needs of their …
possibilities for the development of intelligent systems that can adapt to the needs of their …
An ambient intelligence system for assisted living
Nowadays, the population's average age is constantly increasing, and thus the need for
specialized home assistance is on the rise. Smart homes especially tailored to meet elderly …
specialized home assistance is on the rise. Smart homes especially tailored to meet elderly …
Motion sensors for activity recognition in an ambient-intelligence scenario
In recent years, Ambient Intelligence (AmI) has attracted a number of researchers due to the
widespread diffusion of unobtrusive sensing devices. The availability of such a great amount …
widespread diffusion of unobtrusive sensing devices. The availability of such a great amount …
Context-awareness for multi-sensor data fusion in smart environments
Multi-sensor data fusion is extensively used to merge data collected by heterogeneous
sensors deployed in smart environments. However, data coming from sensors are often …
sensors deployed in smart environments. However, data coming from sensors are often …