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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
(
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 ...
FBIA: A Fog-Based Identity Authentication Scheme for Privacy Preservation in Internet of Vehicles
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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
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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
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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 ...
An efficient approach for textual data classification using deep learning
(
Frontiers
, 2022 , Article)
Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset ...
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 ...
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ...
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 ...