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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 ...
DeepAutoD: Research on Distributed Machine Learning Oriented Scalable Mobile Communication Security Unpacking System
(
IEEE Computer Society
, 2022 , Article)
The rapid growth of Android smart phones and abundant applications (Apps), a new security solution for distributed computing and mobile communications, has prompted many enhanced vendors to use different methods to effectively ...
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Since the emergence of digital and smart healthcare, the world has hastened to apply various technologies in this field to promote better health operation and patients' well being, increase life expectancy, and reduce ...
Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications
(
IEEE Internet of Things Journal
, 2021 , Article)
As stated by Spock, 'change is the essential process of all existence,' which is reflected in everyday applications in our daily lives. We, as humans, just need to find a way to make the best use of the current technological ...
An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use ...
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural ...
A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare sector. The branch of IoT dedicated towards medical science is at times termed as Healthcare Internet of Things (H-IoT). The ...
FBIA: A Fog-Based Identity Authentication Scheme for Privacy Preservation in Internet of Vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
In recent years, the Internet of vehicles (IoV) has become an indispensable part of wireless communication. To protect users' privacy and communication security, an increasing number of scholars have focused on studying ...
Deep CNN-Based real-time traffic light detector for self-driving vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ...
5G vehicular network resource management for improving radio access through machine learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a ...