With automated proof-checkers, a problem can be broken up into small chunks, solved bit-by-bit, then reassembled with confidence that every piece is correct. For some, this heralds a new area in ...
Abstract: Performance indices are crucial for performance analysis and evaluation of parallel mechanisms. However, conventional performance indices are not dimensionally homogeneous for the parallel ...
Abstract: Encoding-decoding convolutional neural networks (CNNs) play a central role in data-driven noise reduction and can be found within numerous deep learning algorithms. However, the development ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results