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Now showing items 11-20 of 29
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
Resource provisioning for cloud-assisted body area network in a smart home environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
In recent years, cloud-assisted body area network (CABAN) technologies have made their entrance in the Smart healthcare field, such as Smart home environment, and play a significant role for healthcare data storage, ...
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
© 2013 IEEE. Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a major stimulus for the development of scalable and ...
Efficient ECG Compression and QRS Detection for E-Health Applications
(
Nature Publishing Group
, 2017 , Article)
Current medical screening and diagnostic procedures have shifted toward recording longer electrocardiogram (ECG) signals, which have traditionally been processed on personal computers (PCs) with high-speed multi-core ...
Relay selection schemes to minimise outage in wireless powered communication networks
(
Institution of Engineering and Technology
, 2016 , Article)
In this study, the authors discuss relay selection schemes with the objective to minimise outage probability for a network consisting of a single source, multiple relays and a single destination. The relays are powered by ...
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple Radio Access Technologies (multi-RAT) and ...
3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day's life. The heterogeneous nature of IoT devices and the complex use scenarios make it hard to ...
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics ...
QDRL: QoS-Aware Deep Reinforcement Learning Approach for Tor's Circuit Scheduling
(
IEEE Computer Society
, 2022 , Article)
Tor is a popular anonymity network adopted by more than two million users to preserve their privacy. Tor was mainly developed as a low-latency network to support interactive web browsing and messaging applications. However, ...
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems
(
IEEE Computer Society
, 2022 , Article)
Although Deep Neural Networks (DNN) have become the backbone technology of several ubiquitous applications, their deployment in resource-constrained machines, e.g., Internet of Things (IoT) devices, is still challenging. ...