Enhancing the random forest model via synthetic minority oversampling technique for credit-card fraud detection
Fraudsters increasingly exploit unauthorized credit card information for financial gain,
targeting un-suspecting users, especially as financial institutions expand their services to …
targeting un-suspecting users, especially as financial institutions expand their services to …
Strategic Feature Selection for Enhanced Scorch Prediction in Flexible Polyurethane Form Manufacturing
F Omoruwou, AA Ojugo… - Journal of Computing …, 2024 - dl.futuretechsci.org
The occurrence of scorch during the production of flexible polyurethane is a significant issue
that negatively impacts foam products' resilience and generally jeopardizes their integrity …
that negatively impacts foam products' resilience and generally jeopardizes their integrity …
BEHeDaS: A Blockchain Electronic Health Data System for Secure Medical Records Exchange
JK Oladele, AA Ojugo, CC Odiakaose… - Journal of …, 2024 - dl.futuretechsci.org
Blockchain platforms propagate into every facet, including managing medical services with
professional and patient-centered applications. With its sensitive nature, record privacy has …
professional and patient-centered applications. With its sensitive nature, record privacy has …
Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost
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 …
space has continued to proffer customers, various choices and alternatives to goods …
Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles
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 …
monetization and asset exchange with clients constantly seeking improved alternatives at …
Analyzing Preprocessing Impact on Machine Learning Classifiers for Cryotherapy and Immunotherapy Dataset
DRIM Setiadi, HMM Islam… - Journal of Future …, 2024 - dl.futuretechsci.org
In the clinical treatment of skin diseases and cancer, cryotherapy and immunotherapy offer
effective and minimally invasive alternatives. However, the complexity of patient response …
effective and minimally invasive alternatives. However, the complexity of patient response …
[PDF][PDF] Pilot Study on Consumer Preference, Intentions and Trust on Purchasing-Pattern for Online Virtual Shops
User behaviour about an item is a choice predicated on their perception of the item in order
to satisfy the intent of such a purchase pattern/choice as made. With virtual stores to improve …
to satisfy the intent of such a purchase pattern/choice as made. With virtual stores to improve …
Phishing website detection using bidirectional gated recurrent unit model and feature Selection
S Widiono, AN Safriandono… - Journal of Future Artificial …, 2024 - faith.futuretechsci.org
Phishing attacks continue to be a significant threat to internet users, necessitating the
development of advanced detection systems. This study explores the efficacy of a …
development of advanced detection systems. This study explores the efficacy of a …
Pilot Study on Enhanced Detection of Cues over Malicious Sites Using Data Balancing on the Random Forest Ensemble
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 …
shared online for users as they seek to promote monetization and asset exchange, with …
Enhancing image encryption security through integration multi-chaotic systems and mixed pixel-bit level
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 …
encryption by integrating a multi-chaotic system and mixed pixel-bit level encryption. In the …