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Now showing items 71-77 of 77
Biometric-based authentication scheme for Implantable Medical Devices during emergency situations
(
Elsevier B.V.
, 2019 , Article)
Biometric recognition and analysis are among the most trusted features to be used by Implantable Medical Devices (IMDs). We aim to secure these devices by using these features in emergency scenarios. As patients can witness ...
iCAFE: Intelligent Congestion Avoidance and Fast Emergency services
(
Elsevier B.V.
, 2019 , Article)
Content Centric Network (CCN)has been envisioned as a paradigm shift from client server architecture. In smart cities, transportation plays an important role where integrated services facilitate citizens through the ease ...
A blockchain-based fog computing framework for activity recognition as an application to e-Healthcare services
(
Elsevier B.V.
, 2019 , Article)
In modern e-Healthcare systems, human activity recognition (HAR) is one of the most challenging tasks in remote monitoring of patients suffering from mental illness or disabilities for necessary assistance. One of the major ...
Machine learning in the Internet of Things: Designed techniques for smart cities
(
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 ...
DTW based Authentication for Wireless Medical Device Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Wireless medical devices play an important role in providing safety and privacy to patients suffering from major health issues. These light-weight devices can be worn inside or outside the patient's body and provide more ...
Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Epileptic seizure detection could be detected through investigating the electroencephalography (EEG), which is deemed to be very important for IoT wearable sensor-based health systems. EEG-based classification is crucial ...
Auction Design and Analysis for SDN-Based Traffic Offloading in Hybrid Satellite-Terrestrial Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
Recently, hybrid satellite-terrestrial networks (H-STNs) are expected to support extremely high data rates and exponentially increasing demands of data, which require new spectrum sharing and interference control technology ...