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crossrefInformation2025-02-19Cited by 10

Early Detection of Skin Diseases Across Diverse Skin Tones Using Hybrid Machine Learning and Deep Learning Models

Akasha Aquil, Faisal Saeed, Souad Baowidan, Abdullah Marish Ali, Nouh Sabri Elmitwally

Skin diseases in melanin-rich skin often present diagnostic challenges due to the unique characteristics of darker skin tones, which can lead to misdiagnosis or delayed treatment. This disparity impacts millions within diverse communities, highlighting the need for accurate, AI-b…

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crossrefInformation2025-04-29Cited by 2

Research on Tongue Image Segmentation and Classification Methods Based on Deep Learning and Machine Learning

Bin Liu, Zeya Wang, Kang Yu, Yunfeng Wang, Haiying Zhang, Tingting Song, et al.

Tongue diagnosis is a crucial method in traditional Chinese medicine (TCM) for obtaining information about a patient’s health condition. In this study, we propose a tongue image segmentation method based on deep learning and a pixel-level tongue color classification method utiliz…

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crossrefInformation2023-09-18Cited by 5

Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community

Alessio Bottrighi, Marzio Pennisi

Artificial intelligence (AI) is becoming increasingly important, especially in the medical field. While AI has been used in medicine for some time, its growth in the last decade is remarkable. Specifically, machine learning (ML) and deep learning (DL) techniques in medicine have…

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crossrefInformation2025-02-19Cited by 14

Style Transfer Review: Traditional Machine Learning to Deep Learning

Yao Xu, Min Xia, Kai Hu, Siyi Zhou, Liguo Weng

Style transfer is a technique that learns style features from different domains and applies these features to other images. It can not only play a role in the field of artistic creation but also has important significance in image processing, video processing, and other fields. H…

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crossrefInformation2026-06-23

Persian Eagle: A Hybrid Machine Learning and Deep Learning Framework for High-Precision DDoS Detection in Urban Digital Infrastructures

Hamid Yarali, Kaebeh Yaeghoobi

Urban environments increasingly rely on interconnected digital infrastructures like IoT devices, SDN-enabled networks, and cloud platforms to support essential municipal services. Ensuring the resilience of these systems requires advanced, data-driven mechanisms capable of detect…

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crossrefInformation2025-02-13Cited by 11

ORUD-Detect: A Comprehensive Approach to Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning–Deep Learning Models with Embedding Techniques

Nisar Hussain, Amna Qasim, Gull Mehak, Olga Kolesnikova, Alexander Gelbukh, Grigori Sidorov

With the rapid expansion of social media, detecting offensive language has become critically important for healthy online interactions. This poses a considerable challenge for low-resource languages such as Roman Urdu which are widely spoken on platforms like Facebook. In this pa…

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