Poor and rich squirrel algorithm-based Deep Maxout network for credit card fraud detection

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Wireless and Mobile Computing
Published
2024-12-26
DOI
https://doi.org/10.1504/ijwmc.2025.10068613
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Poor and rich squirrel algorithm-based Deep Maxout network for credit card fraud detection

A. K. Paul, Paul Varghese
International Journal of Wireless and Mobile Computing
Vehicle License Plate Recognition
article

Poor and rich squirrel algorithm-based Deep Maxout network for credit card fraud detection

A. K. Paul, Paul Varghese
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Wireless and Mobile ComputingVol. 28(2)
No poverty
Openalex Percentile: Top 64%
Vehicle License Plate Recognition
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Poor and rich squirrel algorithm-based Deep Maxout network for credit card fraud detection — A. K. Paul, Paul Varghese · International Journal of Wireless and Mobile Computing (2024) | TGRS Research Map | TGRS