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 …
RSSI-based indoor localization and identification for ZigBee wireless sensor networks in smart homes
V Bianchi, P Ciampolini… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Location-based services have increased in popularity in recent years and can be fruitfully
exploited in the field of smart homes, opening the doors to a wide range of personalized …
exploited in the field of smart homes, opening the doors to a wide range of personalized …
A novel methodology for prediction urban water demand by wavelet denoising and adaptive neuro-fuzzy inference system approach
Accurate and reliable urban water demand prediction is imperative for providing the basis to
design, operate, and manage water system, especially under the scarcity of the natural …
design, operate, and manage water system, especially under the scarcity of the natural …
Self-localization in large scale wireless sensor network using machine learning
Localization or positioning is an important aspect in wireless sensor network (WSN). In WSN
sensor nodes are generally distributed randomly and to embed GPS module to all the nodes …
sensor nodes are generally distributed randomly and to embed GPS module to all the nodes …
A machine learning approach to predict the average localization error with applications to wireless sensor networks
Node localisation is one of the significant concerns in Wireless Sensor Networks (WSNs). It
is a process in which we estimate the coordinates of the unknown nodes using sensors with …
is a process in which we estimate the coordinates of the unknown nodes using sensors with …
[PDF][PDF] A review on ZigBee based WSNs: concepts, infrastructure, applications, and challenges
HAH Alobaidy, JS Mandeep… - Int. J. Electr …, 2020 - pdfs.semanticscholar.org
Wireless Sensor Networks (WSNs) are one of the most important technical fields that have
gained a wide interest by various developers and leading industrial companies to use them …
gained a wide interest by various developers and leading industrial companies to use them …
Accurate empirical path-loss model based on particle swarm optimization for wireless sensor networks in smart agriculture
Wireless sensor networks (WSNs) have received significant attention in the last few years in
the agriculture field. Among the major challenges for sensor nodes' deployment in …
the agriculture field. Among the major challenges for sensor nodes' deployment in …
Performance of elephant herding optimization and tree growth algorithm adapted for node localization in wireless sensor networks
Wireless sensor networks, as an emerging paradigm of networking and computing, have
applications in diverse fields such as medicine, military, environmental control, climate …
applications in diverse fields such as medicine, military, environmental control, climate …
Smart spider monkey optimization (SSMO) for energy‐based cluster‐head selection adapted for biomedical engineering applications
Using energy efficiency to increase the life and sustainability of wireless sensor networks
(WSNs) for biomedical applications is still a challenge. Clustering has boosted energy …
(WSNs) for biomedical applications is still a challenge. Clustering has boosted energy …
[PDF][PDF] Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study
Irrigation operations in agriculture are one of the largest water consumers in the world, and it
has been increasing due to rising population and consequent increased demand for food …
has been increasing due to rising population and consequent increased demand for food …