A powerful predicting model for financial statement fraud based on optimized XGBoost ensemble learning technique
This study aims to develop a better Financial Statement Fraud (FSF) detection model by
utilizing data from publicly available financial statements of firms in the MENA region. We …
utilizing data from publicly available financial statements of firms in the MENA region. We …
CAPP: coverage aware topology adaptive path planning algorithm for data collection in wireless sensor networks
B Khalifa, Z Al Aghbari, AM Khedr - Journal of Ambient Intelligence and …, 2023 - Springer
Data collection is an important task in many mobile wireless sensor network (MWSN)
applications. The energy of sensor nodes around the sink depletes rapidly due to …
applications. The energy of sensor nodes around the sink depletes rapidly due to …
Application of boruta feature selection in enhancing financial distress prediction performance of hybrid MLP_GA
A Khedr, M Bannany, S Kanakkayil… - Proceedings of the 6th …, 2022 - dl.acm.org
Financial distress prediction (FDP) has been a subject of extensive and ongoing research
because of its significance in both internal and external components of enterprises including …
because of its significance in both internal and external components of enterprises including …
Processing Reverse Nearest Neighbor Queries Based on Unbalanced Multiway Region Tree Index
In many applications and scenarios, there are opportunities for processing reverse nearest
neighbor (RNN) queries, which are derived from and more complex than nearest neighbor …
neighbor (RNN) queries, which are derived from and more complex than nearest neighbor …
EDNBC: A New Efficient Distributed Naive Bayes Classifier for Vertically Distributed Data
A common constraint in distributed data is that the database cannot be moved to other
network sites due to computational costs, data size, or privacy considerations. All of the …
network sites due to computational costs, data size, or privacy considerations. All of the …