Search
Now showing items 1-10 of 29
A Bi-layered parallel training architecture for large-scale convolutional neural networks
(
IEEE Computer Society
, 2019 , Article)
Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. However, the training process of CNNs is very ...
Multi-layer perceptron model on chip for secure diabetic treatment
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
Diabetic patients use therapy from the insulin pump, a type of implantable medical device, for the infusion of insulin to control blood glucose level. While these devices offer many clinical benefits, there has been a ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
(
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 ...
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 ...
BEMD-3DCNN-based method for COVID-19 detection
(
Elsevier Ltd
, 2022 , Article)
The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...
Detection and severity classification of COVID-19 in CT images using deep learning
(
MDPI
, 2021 , Article)
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ...
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 ...
ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities
(
Association for Computing Machinery
, 2021 , Article)
Aerial scenes captured by UAVs have immense potential in IoT applications related to urban surveillance, road and building segmentation, land cover classification, and so on, which are necessary for the evolution of smart ...
Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Vehicular Ad hoc Network (VANET) is an enabling technology to provide a variety of convenient services in intelligent transportation systems, and yet vulnerable to various intrusion attacks. Intrusion detection systems ...
DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment
(2021 , Article)
The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation, agriculture, rescue operations, natural environment mapping, and many other allied domains has increased exponentially during the ...