This study reviews the foundations of fuzzy information processing (FIP) and quantum artificial intelligence (Quantum AI / quantum machine learning, QML), surveys recent hybrid work that combines ...
An increasing recognition is observed of how the nature of the learning process gets complicated and multifaceted in the education field. Diverse and often ambiguous characteristics of students’ ...
Abstract: In response to the current situation in China's mining, shipbuilding, military, engineering machinery and other fields where hydraulic motors with good low-speed stability, high starting ...
ABSTRACT: Based on the perception of flood risk factors derived from the lessons learned by the main stakeholders, namely the members of the National Emergency Response Plan (ORSEC) and the people ...
ABSTRACT: Based on the perception of flood risk factors derived from the lessons learned by the main stakeholders, namely the members of the National Emergency Response Plan (ORSEC) and the people ...
Cluster analysis can also detect abnormalities besides building a basis for identifying elements into clusters. Detecting abnormalities is a highly developed feature in the field of unsupervised ...
Least-squares reverse-time migration (LSRTM) can overcome the problems of low resolution and unbalanced amplitude energy of deep formation imaging in reverse-time migration (RTM); hence, it can obtain ...
Abstract: In this work a novel multi-sensor data fusion (MSDF) architecture is presented. First, each measurement-vector coming from each sensor is fed to a fuzzy logic-based adaptive Kalman filter ...
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