Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
Review on home energy management system considering demand responses, smart technologies, and intelligent controllers
The increasing demand for electricity and the emergence of smart grids have presented new
opportunities for a home energy management system (HEMS) that can reduce energy …
opportunities for a home energy management system (HEMS) that can reduce energy …
[HTML][HTML] Machine learning in wireless sensor networks for smart cities: a survey
Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …
State-of-the-art artificial intelligence techniques for distributed smart grids: A review
SS Ali, BJ Choi - Electronics, 2020 - mdpi.com
The power system worldwide is going through a revolutionary transformation due to the
integration with various distributed components, including advanced metering infrastructure …
integration with various distributed components, including advanced metering infrastructure …
Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study
The proper management of a municipal water system is essential to sustain cities and
support the water security of societies. Urban water estimating has always been a …
support the water security of societies. Urban water estimating has always been a …
Home energy management system concepts, configurations, and technologies for the smart grid
Home energy management systems (HEMSs) help manage electricity demand to optimize
energy consumption and distributed renewable energy generation without compromising …
energy consumption and distributed renewable energy generation without compromising …
Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …
J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …
engineers, science, and technology communities. This attraction is due to their broad …
Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities
Energy conservation is the primary task in Wireless Sensor Networks (WSNs) as these tiny
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …