Enhancing the random forest model via synthetic minority oversampling technique for credit-card fraud detection

FO Aghware, AA Ojugo, W Adigwe… - Journal of …, 2024 - dl.futuretechsci.org
Fraudsters increasingly exploit unauthorized credit card information for financial gain,
targeting un-suspecting users, especially as financial institutions expand their services to …

Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost

RE Ako, FO Aghware, MD Okpor… - Journal of …, 2024 - dl.futuretechsci.org
Customer attrition has become the focus of many businesses today–since the online market
space has continued to proffer customers, various choices and alternatives to goods …

Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles

MD Okpor, FO Aghware, MI Akazue… - Journal of Fuzzy …, 2024 - ejournal.ptti.web.id
The digital market today, is rippled with a variety of goods/services that promote
monetization and asset exchange with clients constantly seeking improved alternatives at …

Pilot Study on Enhanced Detection of Cues over Malicious Sites Using Data Balancing on the Random Forest Ensemble

MD Okpor, FO Aghware, MI Akazue… - Journal of Future …, 2024 - dl.futuretechsci.org
The digital revolution frontiers have rippled across society today–with various web content
shared online for users as they seek to promote monetization and asset exchange, with …

[PDF][PDF] Quest for Empirical Solution to Runoff Prediction in Nigeria via Random Forest Ensemble: Pilot Study

BO Malasowe, BE Edim, W Adigwe… - … in Multidisciplinary & …, 2024 - unidel.edu.ng
Environmental factors and features often change to result in either harsh weather conditions
or rainfall, which often calms the weather as well as provides fast, significant downstream …

Enhancing image encryption security through integration multi-chaotic systems and mixed pixel-bit level

MNE Farandi, A Marjuni, N Rijati… - The Imaging Science …, 2024 - Taylor & Francis
This research proposes a new image encryption method to improve the security of image
encryption by integrating a multi-chaotic system and mixed pixel-bit level encryption. In the …

AQuamoAS: unmasking a wireless sensor-based ensemble for air quality monitor and alert system

VO Geteloma, FO Aghware, W Adigwe… - Applied Engineering …, 2024 - pubs2.ascee.org
The increased awareness by residents of their environment to maintain safe health states
has consequently, birthed the integration of info tech to help resolve societal issues. These …

Enhanced data augmentation for predicting consumer churn rate with monetization and retention strategies: a pilot study

VO Geteloma, FO Aghware, W Adigwe… - Applied Engineering …, 2024 - pubs2.ascee.org
Customer retention and monetization have since been the pillar of many successful firms
and businesses as keeping an old customer is far more economical than gaining a new one …

Integrating Quadratic Polynomial and Symbolic Chaotic Map-based Feistel Network to Improve Image Encryption Performance

E Winarno, W Hadikurniawati, K Nugroho… - IEEE …, 2024 - ieeexplore.ieee.org
This research introduces an innovative image encryption method that amalgamates two
secure and efficient chaotic maps, namely a 2D Simplified Quadratic Polynomial Map (2D …

Stacked Learning Anomaly Detection Scheme with Data Augmentation for Spatiotemporal Traffic Flow

AP Binitie, CC Odiakaose, MD Okpor… - Journal of Fuzzy …, 2024 - ejournal.ptti.web.id
The digital revolution births transformation in many facets of today's society. Its adoption in
transportation to curb traffic congestion in major cities globally advances smart-city …