State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
Machine learning in wireless sensor networks: Algorithms, strategies, and applications
Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over
time. This dynamic behavior is either caused by external factors or initiated by the system …
time. This dynamic behavior is either caused by external factors or initiated by the system …
Big data privacy in smart farming: a review
Smart farming aims to improve farming using modern technologies and smart devices. Smart
devices help farmers to collect and analyze data regarding different aspects of their …
devices help farmers to collect and analyze data regarding different aspects of their …
A survey of machine learning-based solutions to protect privacy in the Internet of Things
Abstract The Internet of things (IoT) aims to connect everything and everyone around the
world to provide diverse applications that improve quality of life. In this technology, the …
world to provide diverse applications that improve quality of life. In this technology, the …
Compressed sensing embedded in an operational wireless sensor network to achieve energy efficiency in long-term monitoring applications
Compressed sensing (CS) is a powerful new data acquisition paradigm that seeks to
accurately reconstruct unknown sparse signals from very few (relative to the target signal …
accurately reconstruct unknown sparse signals from very few (relative to the target signal …
Data-driven design of intelligent wireless networks: An overview and tutorial
Data science or “data-driven research” is a research approach that uses real-life data to gain
insight about the behavior of systems. It enables the analysis of small, simple as well as …
insight about the behavior of systems. It enables the analysis of small, simple as well as …
Privacy preservation using machine learning in the internet of things
The internet of things (IoT) has prepared the way for a highly linked world, in which
everything is interconnected, and information exchange has become more easily accessible …
everything is interconnected, and information exchange has become more easily accessible …
Compressive sensing in wireless sensor networks–a survey
Abstract When Donoho and Candes, Rosenberg and Tao separately introduced the concept
of compressive sampling (CS) to the scientific community, the entire basis of traditional …
of compressive sampling (CS) to the scientific community, the entire basis of traditional …
Random access compressed sensing over fading and noisy communication channels
Random Access Compressed Sensing (RACS) is an efficient method for data gathering from
a network of distributed sensors with limited resources. RACS relies on integrating random …
a network of distributed sensors with limited resources. RACS relies on integrating random …
Missing data recovery using reconstruction in ocean wireless sensor networks
Abstract Ocean Wireless Sensor networks (OWSNs) usually operate under adverse physical
conditions and are not very reliable. In addition, the threat for security adds to adversity …
conditions and are not very reliable. In addition, the threat for security adds to adversity …