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    Convolutional Neural Networks: The Power Behind Image Recognition
    (CRC Press, 2025) Almomani, Mohammad H.; Hanandeh, Essam; Şahin, Canan Batur; Zhang, Peiying; Zuong, Zuzho; Nasayreh, Ahmad; Abualigah, Laith
    A number of artificial intelligence advancements have emerged that allow computerizes the same critical thinking tasks that were solely more suited to humans such as image recognition of objects etc. One such advancement that is the focus of the paper is the Convolutional Neural Networks. This paper details the structural design, how they perform the tasks assigned and how they function as a contribution to the image recognition area. Additionally, we show through a case study of three CNN models how they can be evaluated in relation to one set of common data effectively and efficiently. The data shows that there was improvement in processing time and accuracy which emphasises the role of CNN in the detailed domains. Some future trends in the CNN development and its usages are presented. © 2025 Laith Abualigah.