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Big Data and Cognitive Computing, Volume 2, Issue 3

2018 September - 15 articles

Cover Story: With the increasing computational power of smartphones and smaller devices with high connectivity forming Internet of Things (IoT), we witness a golden opportunity to enable smart environments. Machine learning is set to play a significant role in such enablement through the deployment of predictive and descriptive models closer to the source (edge), so to reduce cloud and network latency and associated costs. We tested the edge deployed of state-of-the-art machine learning models for accuracy, latency and energy consumption. Moreover, these methods were tested for model construction at the edge, increasing the independence from cloud services. Based on the results of the conducted experiments, recommendations were given on which method to use depending on the applications’ requirements. View this paper
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Articles (15)

  • Article
  • Open Access
4 Citations
6,330 Views
19 Pages

The twenty-first century has delivered technological advances that allow researchers to utilise social media to predict personal traits and psychological constructs. This article aims to further our understanding of the relationship between subjectiv...

  • Article
  • Open Access
99 Citations
13,255 Views
17 Pages

Edge Machine Learning: Enabling Smart Internet of Things Applications

  • Mahmut Taha Yazici,
  • Shadi Basurra and
  • Mohamed Medhat Gaber

Machine learning has traditionally been solely performed on servers and high-performance machines. However, advances in chip technology have given us miniature libraries that fit in our pockets and mobile processors have vastly increased in capabilit...

  • Article
  • Open Access
6 Citations
6,137 Views
14 Pages

Productivity Benchmarking Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA)

  • Shanta Mazumder,
  • Golam Kabir,
  • M. Ahsan Akhtar Hasin and
  • Syed Mithun Ali

Measuring productivity is the systematic process for both inter- and intra-organizational comparisons. The productivity measurement can be used to control and facilitate decision-making in manufacturing as well as service organizations. This study&rs...

  • Article
  • Open Access
1 Citations
4,384 Views
17 Pages

It is a significant issue for network carriers to immediately restore telecommunication services when a disaster occurs. A wired and wireless network cooperation (NeCo) system was proposed to address this problem. The goal of the NeCo system is quick...

  • Article
  • Open Access
4 Citations
4,388 Views
22 Pages

Environmental data are currently gaining more and more interest as they are required to understand global changes. In this context, sensor data are collected and stored in dedicated databases. Frameworks have been developed for this purpose and rely...

  • Article
  • Open Access
15 Citations
8,589 Views
18 Pages

The increasing availability of educational data provides the educational researcher with numerous opportunities to use analytics to extract useful knowledge to enhance teaching and learning. While learning analytics focuses on the collection and anal...

  • Article
  • Open Access
8 Citations
7,207 Views
26 Pages

LPaaS as Micro-Intelligence: Enhancing IoT with Symbolic Reasoning

  • Roberta Calegari,
  • Giovanni Ciatto,
  • Stefano Mariani,
  • Enrico Denti and
  • Andrea Omicini

In the era of Big Data and IoT, successful systems have to be designed to discover, store, process, learn, analyse, and predict from a massive amount of data—in short, they have to behave intelligently. Despite the success of non-symbolic techn...

  • Article
  • Open Access
22 Citations
7,531 Views
18 Pages

The continuous creation of data has posed new research challenges due to its complexity, diversity and volume. Consequently, Big Data has increasingly become a fully recognised scientific field. This article provides an overview of the current resear...

  • Article
  • Open Access
4 Citations
4,469 Views
14 Pages

Recent technological advancements in many areas have changed the way that individuals interact with the world. Some daily tasks require visualization skills, especially when in a map-reading context. Augmented Reality systems could provide substantia...

  • Review
  • Open Access
216 Citations
23,143 Views
27 Pages

The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing advanced data analysis and machine learning techniques which are better able to handle “big data”. Consequently, m...

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Big Data Cogn. Comput. - ISSN 2504-2289