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Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
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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
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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 ...
Reinforcement Learning Based EV Charging Management Systems-A Review
(
IEEE
, 2021 , Article)
To mitigate global warming and energy shortage, integration of renewable energy generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been introduced in recent years. The application of ...
A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
According to statistics, developing countries all over the world have suffered significant non-technical losses (NTLs) both in natural gas and electricity distribution. NTLs are thought of as energy that is consumed but ...
A Novel Non-Invasive Estimation of Respiration Rate from Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-Threatening. Respiration rate (RR) is a vital indicator of the wellness of a patient. Continuous ...
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ...
Machine Learning Techniques for Detecting Attackers during Quantum Key Distribution in IoT Networks with Application to Railway Scenarios
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ...