Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data

P Hara, M Piekutowska, G Niedbała - Land, 2021 - mdpi.com
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …

Prediction of Pea (Pisum sativum L.) Seeds Yield Using Artificial Neural Networks

P Hara, M Piekutowska, G Niedbała - Agriculture, 2023 - mdpi.com
A sufficiently early and accurate prediction can help to steer crop yields more consciously,
resulting in food security, especially with an expanding world population. Additionally …

Semantic segmentation (U-Net) of archaeological features in airborne laser scanning—example of the białowieża forest

PZ Banasiak, PL Berezowski, R Zapłata, M Mielcarek… - Remote Sensing, 2022 - mdpi.com
Airborne Laser Scanning (ALS) technology can be used to identify features of terrain relief in
forested areas, possibly leading to the discovery of previously unknown archaeological …

Old and modern wooden buildings in the context of sustainable development

D Bajno, A Grzybowska, Ł Bednarz - Energies, 2021 - mdpi.com
Construction is a powerful industry that is not indifferent to the environment. Neither the
maintenance of buildings in a proper technical condition nor their eventual demolition is …

Modeling the chemical composition of ferritic stainless steels with the use of artificial neural networks

R Honysz - Metals, 2021 - mdpi.com
The aim of this paper is an attempt to answer the question of whether, on the basis of the
values of the mechanical properties of ferritic stainless steels, it is possible to predict the …

The use of multilayer perceptron artificial neural networks to detect dairy cows at risk of ketosis

EA Bauer, W Jagusiak - Animals, 2022 - mdpi.com
Simple Summary Ketosis is a serious metabolic disease in high-yield dairy cows, that affects
productive herds throughout the world. Subclinical ketosis is one of the most dominant …

Forecasting parameters of satellite navigation signal through artificial neural networks for the purpose of civil aviation

K Krzykowska, M Krzykowski - International Journal of …, 2019 - Wiley Online Library
Navigation is a key element influencing fluent, rapid, and safe transport of people and
goods. During the last years, special attention was paid to satellite navigation, which is a …

[PDF][PDF] COVID-19 DIAGNOSIS USING DEEP LEARNING FROM X-RAY AND CT IMAGES–OVERVIEW

M Michalska-Ciekańska, O Boyko - neural networks, 2023 - science.lpnu.ua
Covid-19 has become one of the most important topics in the field of medicine. This disease,
caused by the SARS-CoV-2 virus, can lead to serious respiratory diseases and other …

[HTML][HTML] Forecasting Electricity Production in a Small Hydropower Plant (SHP) Using Artificial Intelligence (AI)

D Maciejewski, K Mudryk, M Sporysz - Energies, 2024 - mdpi.com
This article devises the Artificial Intelligence (AI) methods of designing models of short-term
forecasting (in 12 h and 24 h horizons) of electricity production in a selected Small …

Wykorzystanie zaangażowania klientów w działalności marketingowej przedsiębiorstwa

M Kucia - Prace Naukowe/Uniwersytet Ekonomiczny w …, 2019 - bazekon.icm.edu.pl
W niniejszej pracy podmiotem rozważań jest klient postrzegany jako osoba indywidualna
kupująca i/lub użytkująca produkt bądź potencjalnie nim zainteresowana. Głównym celem …