|
|
|
|
|
Elias S. Leggesse, Fasikaw A. Zimale, Dagnenet Sultan, Temesgen Enku, Raghavan Srinivasan and Seifu A. Tilahun
Water quality degradation of freshwater bodies is a concern worldwide, particularly in Africa, where data are scarce and standard water quality monitoring is expensive. This study explored the use of remote sensing imagery and machine learning (ML) algor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía-Oller, Miguel Martínez-Comesaña and Sérgio Ramos
Characterizing the electric energy curve can improve the energy efficiency of existing buildings without any structural change and is the basis for controlling and optimizing building performance. Artificial Intelligence (AI) techniques show much potenti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aristeidis Karras, Christos Karras, Nikolaos Schizas, Markos Avlonitis and Spyros Sioutas
The field of automated machine learning (AutoML) has gained significant attention in recent years due to its ability to automate the process of building and optimizing machine learning models. However, the increasing amount of big data being generated ha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan and Jonathon Corrales de Oliveira
In the field of Artificial Intelligence (AI) and Machine Learning (ML), a common objective is the approximation of unknown target functions y=f(x)" role="presentation">??=??(??)y=f(x)
y
=
f
(
x
)
using limited instances S=(x(i),y(i))" role="presentation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dorin Moldovan
The bio-inspired research field has evolved greatly in the last few years due to the large number of novel proposed algorithms and their applications. The sources of inspiration for these novel bio-inspired algorithms are various, ranging from the behavi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nirmalya Thakur and Chia Y. Han
This work makes multiple scientific contributions to the field of Indoor Localization for Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology that studies the multimodal components of user interactions and analyzes th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Douglas Lenseth and Boris Goldfarb
We address the basic question in discrete Morse theory of combining discrete gradient fields that are partially defined on subsets of the given complex. This is a well-posed question when the discrete gradient field V is generated using a fixed algorithm...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bishwajit Roy, Maheshwari Prasad Singh, Mosbeh R. Kaloop, Deepak Kumar, Jong-Wan Hu, Radhikesh Kumar and Won-Sup Hwang
Rainfall-runoff (R-R) modelling is used to study the runoff generation of a catchment. The quantity or rate of change measure of the hydrological variable, called runoff, is important for environmental scientists to accomplish water-related planning and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lifei Wei, Ziran Yuan, Yanfei Zhong, Lanfang Yang, Xin Hu and Yangxi Zhang
Hyperspectral remote sensing can be used to effectively identify contaminated elements in soil. However, in the field of monitoring soil heavy metal pollution, hyperspectral remote sensing has the characteristics of high dimensionality and high redundanc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ekaterina Gribanova
Pág. 18 - 25
An algorithm is proposed for solving the price optimization problem using inverse calculations. The algorithm includes two stages: solving the problem of unconditional optimization and solving the inverse problem using inverse calculations while minimizi...
ver más
|
|
|
|
|
|