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The P-ART framework for placement of virtual network services in a multi-cloud environment
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Elsevier B.V.
, 2019 , Article)
Carriers network services are distributed, dynamic, and investment intensive. Deploying them as virtual network services (VNS) brings the promise of low-cost agile deployments, which reduce time to market new services. If ...
Applying big data methods to understanding human behavior and health
(
Frontiers Media S.A.
, 2018 , Article)
[No abstract available]
Smart neuropathy detection using machine intelligence: Filling the void between clinical practice and early diagnosis
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
An important aspect of Smart healthcare involves the development of innovative non-intrusive procedures for early detection and diagnosis of specific illnesses. Essentially, diseases for which very complicated and invasive ...
Classification ensemble to improve medical named entity recognition
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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 ...
SCADA system testbed for cybersecurity research using machine learning approach
(
MDPI AG
, 2018 , Article)
This paper presents the development of a Supervisory Control and Data Acquisition (SCADA) system testbed used for cybersecurity research. The testbed consists of a water storage tank's control system, which is a stage in ...
On the detection of Kernel-level rootkits using hardware performance counters
(
Association for Computing Machinery, Inc
, 2017 , Conference Paper)
Recent work has investigated the use of hardware perfor- mance counters (HPCs) for the detection of malware run- ning on a system. These works gather traces of HPCs for a variety of applications (both malicious and ...
Progressive image stitching algorithm for vision based automated inspection
(
IEEE Computer Society
, 2016 , Conference Paper)
The increasing number of skyscrapers along with the large number of tall bridges throughout the world also increases the demand of a robust, automated and remotely controlled health monitoring system for civil architectures. ...
Classification of corneal nerve images using machine learning techniques
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Penerbit UTHM
, 2019 , Article)
Recent research shows that small nerve fiber damage is an early detector of neuropathy. These small nerve fibers are present in the human cornea and can be visualized through the use of a corneal confocal microscope. A ...
Towards a multimodal classification of cultural heritage
(
Hamad bin Khalifa University Press (HBKU Press)
, 2018 , Conference Paper)
The humanity has always learned from the previous experiences and thus for many reasons. The national heritage proves to be a great way to discover and access a nation's history. As a result, these priceless cultural items ...
Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection
(
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 ...