… This book provides a practical approach to designing machine elements in the context of …
systems has been updated to reflect the increasing use of computer-aided learning and …

Change is initially rather unsettling, which is naturally human, and is sometimes coupled
with anxiety. This is especially true of the profound and fast-moving innovations which are a …

… and disadvantages of the main damage detection methods of building enclosure and
explore their development trends in the future, literature review and comparative analysis were …

… Current researches in the area of assisted reminiscence generally focus on utilizing existing
materials, such as historic media contents, to evoke memory recall. However, materials …

… , earthquake detection, a smart grid system. As per CISCO estimated, the IoT devices
connected will be 50 billion at the end of 2020. The grown of IoT devices is rapidly changing as it …

… transmission for Reconfigurable Intelligent Surface (RIS) assisted wireless communication
systems is … 为了解决此优化问题,本文探索了深度学习 (Deep Learning, DL)方法的优势.使用深度…

… Future mobile communication systems are evidently evolving … can accordingly adjust the
transmission power, frequency, or … -aided millimeter wave beam selection using deep learning. …

… optimization in RIS-assisted anti-jamming communication[J]. … of joint optimization of
transmitting power and RIS reflection … a learning framework based on the double deep Q-network (…

… surface(RIS)-assisted communication system. However,the … and the huge pilot overhead in
the downlink transmission … scheme based on distributed machine learning(DML) technique is …

… machine learning and EEG to explore new computer-aided … , the 0.5-40 Hz band-pass filter,
FastICA algorithm to get rid of … Use the AR model and Hjorth algorithm to calculate the power …