Deep learning in food authenticity: Recent advances and future trends

Z Deng, T Wang, Y Zheng, W Zhang, YH Yun - Trends in Food Science & …, 2024 - Elsevier
Background The development of fast, efficient, accurate, and reliable techniques and
methods for food authenticity identification is crucial for food quality assurance. Traditional …

Neural network in food analytics

P Ma, Z Zhang, X Jia, X Peng, Z Zhang… - Critical Reviews in …, 2024 - Taylor & Francis
Neural network (ie deep learning, NN)-based data analysis techniques have been listed as
a pivotal opportunity to protect the integrity and safety of the global food supply chain and …

An Optimized Recurrent Neural Network for re-modernize food dining bowls and estimating food capacity from images

N Veena, M Prasad, SA Deepthi, BS Rani… - Entertainment …, 2024 - Elsevier
Maintaining health and preventing chronic diseases requires awareness of the energy and
nutrient content of one's diet. Due to the rapid development of computing and Artificial …

[引用][C] IntelligentFaceNet: Designing a multi-cascaded attentive and adaptive deep learning network for facial recognition using heuristic approach

G Manoharan - … Journal of Wavelets, Multiresolution and Information …, 2024 - World Scientific
One of the significant application of robot vision technique that serves in biometric
verification systems is Face Recognition (FR) technology. However, the effectiveness of the …