supported by the Natural Science Foundation of Shandong Province(ZR202103050722).
This study combined fault identification with a deep learning algorithm and applied a convolutional neural network(CNN)design based on an improved balanced crossentropy(BCE)loss function to address the low accuracy in...
This work was supported by the National Natural Science Foundation of China (No. 61141007) and the Natural Science Foundation of Jiangxi Province (Nos. 2009GQS0080 and 2010GZS0160). We would also thank the reviewers and the journal editors for their helpful comments.
By making use of the discrete fractional cosine transform, spectrum cutting and combining, rate-distortion control and color space transform, a joint compression and encryption scheme for multiple images and color ima...
supported by the National Natural Science Foundation of China(No.60772055)
In a sensor network, data collected by different sensors are often correlated because they are observations of related phenomena. Efficient sensor data fusion is one of the most important issues in building real senso...
The internally balanced theory proposed by the Japanese researchers,solved the contradiction between adsorption ability and moving capability of the permanent magnetic adsorption mechanism.However,it still has some pr...