Prosumer communities and relationships in smart grids: A literature review, evolution and future directions
Smart grids are robust, self-healing networks that allow bidirectional propagation of energy
and information within the utility grid. This introduces a new type of energy user who …
and information within the utility grid. This introduces a new type of energy user who …
BCOVIDOA: a novel binary coronavirus disease optimization algorithm for feature selection
The increased use of digital tools such as smart phones, Internet of Things devices,
cameras, and microphones, has led to the produuction of big data. Large data …
cameras, and microphones, has led to the produuction of big data. Large data …
Energy efficient and secure healthcare data transmission in the internet of medical things network
Abstract The Internet of Things (IoT) gains myriad admiration in wide applications including
medical and healthcare monitoring due to its low cost and its self-operating activities …
medical and healthcare monitoring due to its low cost and its self-operating activities …
TinyML algorithms for Big Data Management in large-scale IoT systems
In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data,
enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive …
enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive …
[HTML][HTML] An improved binary crayfish optimization algorithm for handling feature selection task in supervised classification
Feature selection (FS) is a crucial phase in data mining (DM) and machine learning (ML)
tasks, aimed at removing uncorrelated and redundant attributes to enhance classification …
tasks, aimed at removing uncorrelated and redundant attributes to enhance classification …
Selection of devices based on multicriteria for mobile data in internet of things environment
Internet of Things (IoT) is a computing term which describes universal Internet connectivity,
transforming everyday objects into connected devices. Many smart devices are …
transforming everyday objects into connected devices. Many smart devices are …
A structured approach towards big data identification
Big data is a” relative” concept. It is the combination of data, application, and platform
properties. The term big data has been used with almost every problem involving large size …
properties. The term big data has been used with almost every problem involving large size …
Data quality techniques in the internet of things: Random forest regression
Internet of Things (IoTs) is one of the most promising fields in computer science. It consists of
physical devices, automobiles, home appliances, embedded hardware, sensors and …
physical devices, automobiles, home appliances, embedded hardware, sensors and …
Towards a novel framework for automatic big data detection
Big data is a” relative” concept. It is the combination of data, application, and platform
properties. Recently, big data specific technologies have emerged, including software …
properties. Recently, big data specific technologies have emerged, including software …
A proactive inference scheme for data-aware decision making in support of pervasive applications
K Kolomvatsos - Future Generation Computer Systems, 2022 - Elsevier
The advent of the Internet of Things (IoT) offers a huge infrastructure where numerous
devices can collect and process data retrieved by their environment. Due to the limited …
devices can collect and process data retrieved by their environment. Due to the limited …