Table of Contents
Big Data Cogn. Comput., Volume 2, Issue 3 (September 2018)
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
- You may sign up for e-mail alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Cover Story (view full-size image) With the increasing computational power of smartphones and tablets, and now smaller devices with [...] Read more. With the increasing computational power of smartphones and tablets, and now smaller devices with high connectivity, forming the Internet of Things (IoT), we are presented with a golden opportunity to enable smart environments. Machine learning is set to play an important transformative role in this enablement of smart environments through the deployment of predictive and descriptive models closer to the source (known as the “edge”). This edge deployment resolves a serious impediment to enabling smart environments; namely, high latency when using cloud computing. This research is a step forward in the direction of enabling smart environments through edge deployment of state-of-the-art machine learning models. We tested the deployed models for accuracy, latency and energy consumption. Moreover, the machine learning methods were tested for model construction at the edge, increasing the independence from cloud services. Finally, recommendations on which method to use according to the requi