Correction: Hayat et al. Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches. Information 2022, 13, 275
Ahatsham Hayat, Fernando Morgado-Dias, Bikram Pratim Bhuyan, Ravi Tomar
In the original publication [...]
Ahatsham Hayat, Fernando Morgado-Dias, Bikram Pratim Bhuyan, Ravi Tomar
In the original publication [...]
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…
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…
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…
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…
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…
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…