|
|
|
|
|
Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mads Steiness, Søren Jessen, Mattia Spitilli, Sofie G. W. van?t Veen, Anker Lajer Højberg and Peter Engesgaard
A managed riparian lowland in a glacial landscape (Holtum catchment, Denmark) was studied to quantify the relative importance of subsurface and surface flow to the recipient stream. The hydrogeological characterization combined geoelectrical methods, lit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ludek Bures, Petra Sychova, Petr Maca, Radek Roub and Stepan Marval
An appropriate digital elevation model (DEM) is required for purposes of hydrodynamic modelling of floods. Such a DEM describes a river?s bathymetry (bed topography) as well as its surrounding area. Extensive measurements for creating accurate bathymetry...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roman Rybka, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander Sboev and Vyacheslav Ilyin
Developing a spiking neural network architecture that could prospectively be trained on energy-efficient neuromorphic hardware to solve various data analysis tasks requires satisfying the limitations of prospective analog or digital hardware, i.e., local...
ver más
|
|
|
|
|
|
|
|
|
|
|
Károly Héberger
Background: The development and application of machine learning (ML) methods have become so fast that almost nobody can follow their developments in every detail. It is no wonder that numerous errors and inconsistencies in their usage have also spread wi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
ver más
|
|
|
|
|
|
|
|
|
|
|
Siarhei Autsou, Karolina Kudelina, Toomas Vaimann, Anton Rassõlkin and Ants Kallaste
Servomotors have found widespread application in many areas, such as manufacturing, robotics, automation, and others. Thus, the control of servomotors is divided into various principles and methods, leading to a high diversity of control systems. This ar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anton Kolosnitsyn, Oleg Khamisov, Eugene Semenkin and Vladimir Nelyub
We consider the Golden Section and Parabola Methods for solving univariate optimization problems. For multivariate problems, we use these methods as line search procedures in combination with well-known zero-order methods such as the coordinate descent m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leonardo Pinto de Magalhães and Fabrício Rossi
In the cultivation of maize, the leaf area index (LAI) serves as an important metric to determine the development of the plant. Unmanned aerial vehicles (UAVs) that capture RGB images, along with random forest regression (RFR), can be used to indirectly ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiaxing Wu, Nian Xue, Zhen Li, Xianbin Hong, Yilin Zhao, Xin Huang and Jie Zhang
The access control system is a critical element in intelligent buildings. In this paper, we present SPCL, an innovative access control system designed to facilitate building entry through the use of mobile phones. Our system aims to provide a secure and ...
ver más
|
|
|
|
|
|