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A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

Reference 33: Deep residual learning for image recognition Reference 49: An empirical study and analysis of generalized zero-shot learning for object recognitionrecognitionA Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

Minki Chun, Ha-Jin Yu, Hyunggu Jung

JMIR Form Res 2024;8:e55342

Long-term Memory Testing in Children With Typical Development and Neurodevelopmental Disorders: Remote Web-based Image Task Feasibility Study

Long-term Memory Testing in Children With Typical Development and Neurodevelopmental Disorders: Remote Web-based Image Task Feasibility Study

The Memory Game includes questions testing both paired association and recognition memory, depending on the distractor photos present (Figure 3). In a recognition question, the 2 distractor photos are not part of any pairs seen in training and have not been previously viewed. In a paired association question, 1 of the distractors will be the matching photo for a prompt not currently being displayed and so will have been previously viewed.

Truong An Bui, Cory Scott Rosenfelt, Kerri Hope Whitlock, Mickael Leclercq, Savannah Weber, Arnaud Droit, Sandra A Wiebe, Jacqueline Pei, Francois V Bolduc

JMIR Pediatr Parent 2023;6:e39720

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Reference 12: Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Reference 25: Automatic Pain Recognition from Video and Biomedical SignalsrecognitionPain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Emad Kasaeyan Naeini, Ajan Subramanian, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salantera, Ariana M Nelson, Amir M Rahmani

J Med Internet Res 2021;23(5):e25079