Application of artificial intelligence for fraudulent banking operations recognition

B Mytnyk, O Tkachyk, N Shakhovska… - Big Data and Cognitive …, 2023 - mdpi.com
This study considers the task of applying artificial intelligence to recognize bank fraud. In
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …

Fault diagnosis of actuator damage in UAVs using embedded recorded data and stacked machine learning models

LA Al-Haddad, AA Jaber, SA Al-Haddad… - The Journal of …, 2024 - Springer
Unmanned aerial vehicles (UAVs) have gained significant importance due to their wide
applicability in modern life. Fault diagnosis plays a crucial role in ensuring their safe and …

SENSE: software effort estimation using novel stacking ensemble learning

A Kaushik, K Sheoran, R Kapur, N Bhutani… - Innovations in Systems …, 2024 - Springer
The volatile factors involved in software cost estimation have long been an occlusion for the
software development life cycle. The inaccuracy they lead to during the estimation process …

AI-Powered Innovations in High-Tech Research and Development: From Theory to Practice.

M Madanchian, H Taherdoost - Computers, Materials & …, 2024 - search.ebscohost.com
This comparative review explores the dynamic and evolving landscape of artificial
intelligence (AI)-powered innovations within high-tech research and development (R& …

[PDF][PDF] Model of Educational Process Organizing Using Artificial Intelligence Technologies.

O Karyy, I Novakivskyi, Y Kis, I Kulyniak, A Adamovsky - COLINS (3), 2023 - ceur-ws.org
An overview of common artificial intelligence (AI) technologies, as well as the main trends of
their application in the field of education, was carried out. The perspectives of …

Enhancing agriculture production through smart assessment of soil nutrients

K Purohit, A Kumar Singh… - Journal of Crop …, 2024 - Taylor & Francis
The growth of the world population is leading to an increased demand for food production.
Consequently, there is a need to update agricultural processes to enhance production …

[PDF][PDF] Application of Artificial Intelligence for Fraudulent Banking Operations Recognition. Big Data Cogn. Comput. 2023, 7, 93

B Mytnyk, O Tkachyk, N Shakhovska, S Fedushko… - 2023 - text2fa.ir
This study considers the task of applying artificial intelligence to recognize bank fraud. In
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …

Transformation of a Regional IT Cluster into a Cross-Border IT Cluster as a Direction of It Business Development Under the Conditions of Negative Influence of …

M Kirzhetska, I Novakivskyi, O Musiiovska… - Data-Centric Business …, 2024 - Springer
The problem of the transformation of a regional IT cluster (Lviv IT cluster) into a cross-border
IT cluster under the negative influence of external factors was considered, and the stability of …

[图书][B] Predicting Stock Market Direction in the South African Banking Sector Using Ensemble Machine Learning Techniques: A Comparative Study

A Mcwera - 2023 - search.proquest.com
The implementation of machine learning (ML) algorithms to predict stock price direction has
become an extensively studied and challenging problem. It has gained attention from …

Теоретичні та прикладні засади інтелектуальної інформаційної технології отримання довірчих рішень за людиноцентрованим підходом

ЕА Манзюк - 2022 - elar.khmnu.edu.ua
Анотація У дисертаційній роботі вирішено актуальну науково-прикладну проблему
недостатнього рівня довіри до інтелектуальних інформаційних технологій в частині …