Agricultural mechanization is an area of knowledge that has evolved a lot over the past
century, its main actors being agricultural tractors that, in 100 years, have increased their …

In this paper, we compare the efficiency of three different techniques used to predict the daily
power consumption for a local industrial region (the studied case). At first, a variant of the …

Abstract Human-Robot Interaction (HRI) provides assisted services in different real-time
applications. The robotic systems identify objects through digital visualization wherein a …

Thanks to its richness in extractable features, Hyperspectral images (HSI) find an
accelerated use in medical, industrial, agricultural, and environmental fields. In this paper …

Accurate forecasting of power consumption is an essential and modern approach for
planning smart infrastructural projects that are required to overcome the future challenges of …

Abstract “Smart cities” is a popular concept in modern urban development that demands
innovative solutions to enhance various aspects of our lives. This paper introduces a novel …

One of the challenges facing robot tracking is the difficulty of controlling variety types of
robots in known and unknown environments. This paper proposes a new strategy of path …

In order to address the challenge of detecting the attitude of advanced hydraulic support in a
harsh mine environment, this study proposes a binocular vision technology that accurately …

The Convolutional Neural Network (CNN) methodologies have been a fundamental deep
learning solution to smart grid applications. It is essential to investigate and evaluate the …

In recent years, more and more power transmission lines have been inspected using
unmanned autonomous vehicle UAVs. Intelligent UAV control using deep learning methods …