With the process of urban modernization becoming faster and faster, there are more and
more vehicles in the city, and the situation of urban traffic congestion is becoming more and …

In this paper, we propose a machine-learning-based approach to automatically detect a
satellite oscillator anomaly. A major challenge is to differentiate an oscillator anomaly from …

This paper applies a machine learning (ML) algorithm based on the multi-hidden layer
neural network (MHL-NN) for ocean surface wind speed estimation using global navigation …

Offshore jacket platform is widely used as production or oil recovering platform in the shallow
sea, and is also applied to the offshore wind turbine supporting structure in the recent years…

Wide-range traversal algorithms and some intelligent iterative algorithms are applied to the
traditional SVM parameter optimization, causing much time consumption. They are not …

This paper applies the convolutional long short‐term memory (convLSTM)‐based machine
learning models to forecast global ionospheric total electron content (TEC) maps with up to …

Web Service selection is an important issue in dynamic Web Service composition. The existing
approaches are QoS local optimization based. They cannot achieve global constraints …

A sensitive quantification method using pressurized liquid extraction (PLE) and solid phase
extraction (SPE) coupled with ultra-high performance liquid chromatography-tandem mass …

Speech emotion recognition technology includes feature extraction and classifier construction.
However, the recognition efficiency is reduced due to noise interference and gender …

The cicada Hyalessa maculaticollis is widely distributed in East Asia, and is noted for its
great morphological variability. The variation in this species and its allies has been a long‐…