Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices
暫譯: 生物識別與生醫設備的計算智慧應用最新進展

Recent Advances in Computational Intelligence Applications for Biometrics and Biomedical Devices focuses on the intersection of biometric-driven computational approaches and techniques within a connected multi-modal environment, particularly emphasizing their application in healthcare. It explores cutting-edge methodological approaches that leverage technologies like blockchain and integrate them with information fusion, data security for medical devices, and trust management. The book provides a comprehensive overview of the topics covered, including machine learning and deep learning for biomedical-based biometrics, computational medical imaging techniques, security strategies for healthcare systems, AI technology for multimodal biometrics, and feature reduction techniques. It also includes blockchain and fog computing models for medical sensor data storage, and evolutionary optimization for biometric feature identification and recognition, among others.