The three-dimensional representation of the human face has emerged as a viable and
effective way to characterize the facial surface for expression classification purposes. The …

Solar power forecasting is important for the reliable and economic operation of power
systems with high penetration of solar energy. The solar power forecasts for the day-ahead …

Facial expression has long been recognized as containing meaningful nonverbal affective
cues for decoding human emotions. Recently, multimodal 2-D+ 3-D fusion method has …

The primary goal of this paper is to describe a proposed framework for identifying human
face expressions. A methodology has been proposed and developed to identify facial …

The realization of short-term load forecasting is the basis of system planning and decision-
making, and it is an important index to evaluate the safety and economy of power grid. In …

Facial expressions play a main role in determining the internal impressions of the human.
Therefore, dealing with these expressions by machine learning attract the attention of many …

3D Facial Expression Recognition (FER) is an active research topic due to its multi-fields
human machine applications. We expose in this paper a new approach for Data …

摘要为了有效处理面部表情识别中特征提取不完整和特征选择偏差较大等问题,
研究了一种新的融合多种卷积神经网络的融合算法. 首先通过采用三维卷积神经网络(3 …

As the size and complexity of data soars exponentially, machine learning (ML) has gained
prominence in applications in geoscience and related fields. ML-powered technology …

This paper proposes a feature selection algorithm based on information gain rate and multi-
objective evolutionary computing. The information gain rate is used to rank features and …