The evaluation of classifiers' performances plays a critical role in construction and selection
of classification model. Although many performance metrics have been proposed in machine …

Highlights • Hyperspectral imaging could nondestructively predict TVB-N in Pacific white
shrimp. • Spectral features were extracted by deep learning algorithm. • LS-SVM was applied to …

Popular reinforcement learning (RL) algorithms tend to produce a unimodal policy distribution,
which weakens the expressiveness of complicated policy and decays the ability of …

The increasing demand for precise load forecasting for distribution networks has become a
crucial requirement due to the continual surge in power consumption. Accurate forecasting of …

In this study, deep learning method coupled with near-infrared (NIR) hyperspectral imaging (HSI)
technique was used for nondestructively determining total viable count (TVC) of peeled …

For mutual benefit, data is shared among business organizations. However, this may result
in privacy and security threats. To address this issue, privacy-preserving data mining is …

The interactions between various substances in foods have significant implications for their
nutritional values. The antioxidant capacity of polyphenols in tea can also be modulated by …

This paper reports the results of a study on the implementation of a sustainable teaching
model based on the OBE (Outcome-Based Education) concept and the TSEM (Teach, Study, …

In the cloud service community, cloud service providers typically limit component cloud
services to perform a specific and limited function to maximize the versatility of cloud services. …

How to guarantee the robustness of multi-source adaptation visual classification is an important
challenge in current visual learning community. To this end, we address in this paper the …