Predicting the football players' market value using neural network model: a data-driven approach

VS Arrul, P Subramanian… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
The domain of this research is about football business in which the market value of football
players was predicted. The researcher designed a neural network model to predict the price …

[PDF][PDF] Assessment of the level of business readiness for digitalization using marketing and neural network technologies

N Yasynska, I Fomichenko… - Innovative …, 2019 - businessperspectives.org
The marketing environment of the world economy is changing due to intensive digitalization
of trade exchange operations. Formation of marketing forecasts based on current and past …

[HTML][HTML] Analysis of local system behavior in the foreign exchange-market using neural networks and Monte-Carlo method for predictıon and risk assessment

A Aşırım, ÖE Aşırım, MA Salepçioğlu - SN Applied Sciences, 2023 - Springer
In this study, we attempt to show the reason behind the poor estimation of the future values
of foreign exchange-rate (FXR) signals under difference-equation modeling, using the …

[PDF][PDF] Application of neural network technologies in the dental caries forecast

OA Udod, HS Voronina, OY Ivchenkova - Wiad Lek, 2020 - researchgate.net
The aim: of the work was to develop and apply in the clinical trial a software product for the
dental caries prediction based on neural network programming. Materials and methods …

Person identification in low resolution CCTV footage using deep learning

S Powale, A Dhanawade, S Bagwe… - … on Advances in …, 2020 - ieeexplore.ieee.org
The advancement in camera technology, high speed connectivity, and availability of huge
information over media resulted into developing better algorithms for person identification …

Using recurrent neural networks for data-centric business

S Leoshchenko, A Oliinyk, S Subbotin… - Data-Centric Business and …, 2020 - Springer
Over the last decade, print and online publications have published a huge number of articles
with proposals for the introduction and use of neural networks in existing business and …

[PDF][PDF] A Study of Temporal and Recurrent Neural Networks for CO2 Emission Forecasting.

O Rudenko, O Bezsonov, N Serdiuk, K Pasichnyk - CMIS, 2023 - ceur-ws.org
Time series forecasting is a rapidly growing field of research and provides many
opportunities for future work not only in the field of forecasting, but also in many other areas …

[PDF][PDF] Моделі і методи прогнозування та аналізу надійності технічних систем з урахуванням процесу розробки ПЗ: дис. док. філ. 2022

ІІ Симець - Симець ІІ Львів, 2022 - lpnu.ua
АНОТАЦІЯ Симець ІІ Моделі і методи прогнозування та аналізу надійності технічних
систем з урахуванням процесу розробки ПЗ.–Кваліфікаційна наукова праця на правах …

Прогнозування дефектів програмного забезпечення ансамблем нейронних мереж

ВС Яковина, ІІ Симець - Науковий вісник НЛТУ України, 2021 - nv.nltu.edu.ua
Анотація Прогнозування дефектів програмного забезпечення, зокрема крос-проєктне, є
актуальною і важливою науково-прикладною задачею, вирішення якої спрямоване на …

[PDF][PDF] EXPERIENCE IN PREDICTING DENTAL CARIES BY COMPUTER NEURAL NETWORK SOFTWARE.

O UDOD, H VORONINA - International Journal of Medical …, 2021 - researchgate.net
Introduction. Predicting dental caries, viewed as one of the most common diseases, is an
urgent problem of modern dentistry. The purpose is to determine the efficacy of predicting …