AIMC Topic: Prunus dulcis

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Advancing olfactory perception research with EEG analysis: a dynamic approach of understanding brain responses to almond deterioration.

Food chemistry
Electroencephalography (EEG) enables the investigation of olfactory perception through neuronal electrical activity. Decoding dynamic oscillatory changes in sensory-cognitive processing is critical to understanding odor-induced brain responses. First...

Unraveling almonds deterioration using whole-cell biosensor coupled with machine learning approaches and SHAP interpretation.

Food chemistry
As almonds are prone to oxidation during storage, it is essential to construct a real-time method to monitor the quality of almonds efficiently. In this study, the in situ detection was developed using whole-cell biosensor combined with machine learn...

Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception-ResNet Model.

Toxins
Aflatoxin B1, a toxic carcinogen frequently contaminating almonds, nuts, and food products, poses significant health risks. Therefore, a rapid and non-destructive detection method is crucial to detect aflatoxin B1-contaminated almonds to ensure food ...

A Deep Learning-Based Chinese Semantic Parser for the Almond Virtual Assistant.

Sensors (Basel, Switzerland)
Almond is an extendible open-source virtual assistant designed to help people access Internet services and IoT (Internet of Things) devices. Both are referred to as skills here. Service providers can easily enable their devices for Almond by defining...