Abstract In the past years smart homes solutions have become more and more popular with the introduction of a high number of both Internet of Things (IoT) applications and smart devices. Home automation and security systems market is in a continuous growth, traditional ...

Objectives: It has been recently documented that Romania has the highest prevalence of adolescent pregnancy in Europe. Material and methods: Therefore, the present study aims to offer a conclusive view of the current situation by assessing a series of parameters in the ...

Ultra-wideband (UWB) communications have gained popularity in recent years for being able to provide distance measurements and localization with high accuracy, which can enhance the capabilities of devices in the Internet of Things (IoT). Since energy efficiency is of u...

Background Recent evaluations of the microbial biological control sector indicate that implementing microbial control of pests is still slow in the EU. The top causal factors are the lengthy, expensive, and cumbersome two-stage procedure for approval of biological agent...

Abstract Modern cities face many new challenges as a result of the ‘digital age’, in particular the uncertain promise of high urban benefits from the widespread use of communication technology in a smart city context. This essay introduces the theme of ‘Shared Spaces in...

Abstract Because the micromanipulation of micro parts (as a whole), biological cells in microsurgery, and microparticles in materials science are of great interest to scientists and engineers, we developed an electrothermal operated microgripper for handling cells and o...

Visualization of multispectral images through band selection methods determines an information loss that in utmost cases proves to be critical for the adequate understanding of the represented scene. The R–G–B representation obtained by mapping the visual ...

This paper studies the use of deep-learning models (AlexNet, VggNet, ResNet) pre-trained on object categories (ImageNet) in applied texture classification problems such as plant disease detection tasks. Research related to precision agriculture is of high relevance due ...

Abstract Allometric models are commonly used to predict forest biomass. These models typically take nonlinear power-law forms that predict individual tree aboveground biomass (AGB) as functions of diameter at breast height (D) and/or tree height (H). Because the residua...