INTRODUCTION: Due to the advancement in the field of Artificial Intelligence (AI), the ability
to tackle entire problems of machine intelligence. Nowadays, Machine learning (ML) is …

As one of the earth's key ecosystems, rivers have been intensively studied and modelled
through the application of machine learning (ML). With the amount of large data available …

The high proportion of energy consumed in buildings has engendered the manifestation of
many environmental problems which deploy adverse impacts on the existence of mankind …

Detailed parametric analysis and measurements are required to reduce building energy
usage while maintaining acceptable thermal conditions. This research suggested a system …

Clustering, a traditional machine learning method, plays a significant role in data analysis.
Most clustering algorithms depend on a predetermined exact number of clusters, whereas …

This study aims to facilitate runway maintenance activities by designing a transmission video
on an unmanned aerial vehicle (UAV). This design is designed to transmit video in real time …

Plastic waste and its environmental hazards have been attracting public attention as a
global sustainability issue. This study builds a neural network model to forecast plastic waste …

Human motion detection is getting considerable attention in the field of Artificial Intelligence
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …

Human activity monitoring is an exciting research area to assist independent living among
disabled and elderly population. Various techniques have been proposed to recognise …

Replacing part of ordinary Portland cement with sludge can reduce the use of cement while
recycling sludge and achieve low CO 2 emissions, which is an environment-friendly method …