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Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection
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Elsevier B.V.
, 2017 , Article)
This study demonstrates that a time-frequency (TF) image pattern recognition approach offers significant advantages over standard signal classification methods that use t-domain only or f-domain only features. Two approaches ...
Machine learning aided load balance routing scheme considering queue utilization
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Due to the rapid development of network techniques, packet-switched systems experience high-speed growth of traffic, which imposes a heavy and unbalanced burden on the routers. Hence, efficient routing schemes are required ...
Classification ensemble to improve medical named entity recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ...
Automated knowledge discovery in facility layout planning
(
International Business Information Management Association, IBIMA
, 2014 , Conference Paper)
This paper proposes a novel methodology for facilities layout planning and optimization in which fitness evaluation of layout alternatives is done in an automated manner using an artificial neural network trained to user ...
Machine learning in the Internet of Things: Designed techniques for smart cities
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Elsevier B.V.
, 2019 , Article)
Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide ...
Breast cancer image classification using pattern-based Hyper Conceptual Sampling method
(
Elsevier Ltd
, 2018 , Article)
The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been ...
Fog Computing Potentials, Applications, and Challenges
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
The emergence of Internet of Things (IoT) and the technological advancements of smart devices and wearable gadgets, are empowering new real-Time applications such as health monitoring, traffic monitoring, tele-surveillance, ...