Hyperspectral imaging and an optimized stacking ensemble learning model are developed for rapid, nondestructive toxicological assessment of fish meat. This framework integrated multiple machine learning classifiers to accurately distinguish toxicologically contaminated fish from fresh samples using both reduced (25‐band) and full (224‐band) spectral ...
Muhammad Aqeel +5 more
wiley +1 more source
Human behavior alignment to improve the robustness of deep neural networks. [PDF]
Anand B, Krithivasan S.
europepmc +1 more source
A hybrid CNN-DNN model for battery remaining useful life RUL prediction. [PDF]
Khoufi H +3 more
europepmc +1 more source
Interpretable deep neural network identifies robust biomarkers for diseases with mechanistic insights from omics data. [PDF]
Hu X, Ma Y, Ming R, Zhang H, Jiang H.
europepmc +1 more source
A deep neural network for automatic prediction of mouse behavior from ultrasonic vocalizations emitted during social interaction test. [PDF]
Gnutti A +5 more
europepmc +1 more source
Artificial intelligence for craniofacial and mandibular growth prediction: A systematic review. [PDF]
Polizzi A +3 more
europepmc +1 more source
A deep learning approach to county-level soybean yield forecasting using large-scale environmental data. [PDF]
Chen B, Zhang W.
europepmc +1 more source
FLAME: Federated Learning and Aggregated Multi-Model Ensemble for Multi-Class Alzheimer's Disease Stage Classification from Structured Clinical Data. [PDF]
Gasmi K +3 more
europepmc +1 more source
Added Value of One-Month Clinical Data in Predicting Chronic-Stage Motor Function After Ischemic Stroke. [PDF]
Choo YJ, Chang MC, Shin JY.
europepmc +1 more source
Bias in AI models for fetal cardiac screening: the consequences of training predominantly on normal anatomy. [PDF]
Besson R +6 more
europepmc +1 more source

