Urban forests can mitigate the urban heat island effect by serving as cooling islands.
However, urban forest cooling potentials and their influencing factors at the single tree and …

In this paper we propose novel methodologies to optimally construct Support Vector
Machine-based classifiers that take into account that label noise occur in the training …

To scientifically and objectively monitor the fermentation quality of black tea, a computer
vision system (CVS) and electronic nose (e-nose) were employed to analyze the black tea …

Accurate wind speed and power predictions are crucial for renewable wind energy
applications. This study compares and evaluates twelve machine learning (ML) and deep …

Soil salinization poses a critical challenge to global food security, impacting plant growth,
development, and crop yield. This study investigates the efficacy of deep learning …

The methods of deep learning and traditional radiomics feature extraction were preliminarily
discussed, and a multimodal data prediction model for breast cancer clinical stage was …

Abnormal electricity consumption detection is of great significance for maintaining the safe
and stable operation of the power grids, or for reducing the irregular electricity consumption …

Fermentation is a crucial step in the processing of black tea. Currently, the evaluation of the
fermentation degree of black tea relies mainly on manual experience, which suffers from …

Introduction: Highlighting and assessing land cover changes in a heterogeneous landscape,
such as those with surface mining activities, allows for understanding the dynamics and …

In this paper, a novel multi-information fusion methodology is proposed for vehicle pose
estimation. The purpose is to improve the pose estimation accuracy during global navigation …