The importance of efficient water resource supply has been acknowledged, and it is
essential to predict short-term water consumption in the future. Recently, it has become …

Purpose The purpose of this paper is to develop e-health and patient monitoring systems
remotely to overcome the difficulty of patients going to hospitals especially in times of …

The spatiotemporal patterns of household water consumption can provide valuable
information for urban water management. Thus, this paper introduces a novel method based …

An urban water demand with high accuracy and reliability plays fundamental role in creating
a predictive water supply system. This is necessary to implement mechanisms and systems …

A Smart Healthcare System (SHS) is developed from traditional healthcare by integrating the
Internet of Things (IoT) with Artificial Intelligence (AI). The data are captured by millions of …

Abstract Artificial Neural Networks (ANN) has been highly utilized in short term electric load
forecasting not just among aggregated consumed load but also in predicting the specified …

The development of automated software and the device for determination of wicking of
textile materials, using open-source ImageJ libraries for image processing, and newly …

The digital transformation of construction and housing and utilities sector involves data-
based management. The most accessible data is telemetry of electricity, gas, heat and water …

This paper proposes an ensemble method based on neural network architecture and
stacking generalization. The objective is to develop a novel ensemble of Artificial Neural …

From the last few years, numbers of Researchers all over the world have been working for
the automation of Postal system. Development of Postal Automation for a Country like India …