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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 ...
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 ...
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
(
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 ...
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 ...
Autoimmune Diseases of the GI Tract Part II: Emergence of Diagnostic Tools and Treatments
(
IntechOpen
, 2022 , Book chapter)
Autoimmune diseases (AD) have emerged as a pandemic in our modern societies, especially after the World War II. In part I, we have reviewed five main diseases and shed light on different aspects from introducing the concept ...
Differentiation and classification of bacterial endotoxins based on surface enhanced Raman scattering and advanced machine learning
(
Royal Society of Chemistry
, 2022 , Article)
Bacterial endotoxin, a major component of the Gram-negative bacterial outer membrane leaflet, is a lipopolysaccharide shed from bacteria during their growth and infection and can be utilized as a biomarker for bacterial ...
Household Electricity Consumer Classification Using Novel Clustering Approach, Review, and Case Study
(
MDPI
, 2022 , Article)
There is an increasing demand for electricity on a global level. Thus, the utility companies are looking for the effective implementation of demand response management (DRM). For this, utility companies should know the ...