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Olayinka Ogundile

As seen in: MDPI
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Articles

Multiscale Sample Entropy-Based Feature Extraction with Gaussian Mixture Model for Detection and Classification of Blue Whale Vocalization

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By Oluwaseyi Babalola, Olayinka Ogundile, Vipin Balyan, Oluwaseyi Paul
| MDPI
1. Introduction Marine mammals require conservation and protection from threats brought on by a variety of factors, including rising ocean temperatures from climate change, disturbances and accidents, pollution, and other damaging human activities. According to [1], blue and fin whale species are specifically classified as critical, with Antarctic blue whales being particularly endangered.
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Credit Card Fraud: Analysis of Feature Extraction Techniques for Ensemble Hidden Markov Model Prediction Approach

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By Olayinka Ogundile, Oluwaseyi Babalola, Afolakemi Ogunbanwo, Olabisi Ogundile
| MDPI
1. Introduction The progress in online banking systems has motivated the use of credit cards to ease the payment of products and services. Credit cards are payment cards issued to cardholders to purchase products and services based on their accumulated debt. In most cases, before a credit card payment is approved, some vital information is requested from the cardholders such as the personal identification number (PIN), card verification value (CVV) number, expiration date, and so on.
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Credit Card Fraud: Analysis of Feature Extraction Techniques for Ensemble Hidden Markov Model Prediction Approach

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By Olayinka Ogundile, Oluwaseyi Babalola, Afolakemi Ogunbanwo, Olabisi Ogundile
| Preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 25 July 2024 / Approved: 26 July 2024 / Online: 26 July 2024 (12:42:13 CEST) Ogundile, O.; Babalola, O.; Ogunbanwo, A.; Ogundile, O.; Balyan, V. Credit Card Fraud: Analysis of Feature Extraction Techniques for Ensemble Hidden Markov Model Prediction Approach. Preprints 2024, 2024072157. https://doi.org/10.20944/preprints202407.2157.v1 Ogundile, O.; Babalola, O.; Ogunbanwo, A.; Ogundile, O.; Balyan, V.
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