… peaks in network traffic or high-speed data are involved. In a … , and the training in the
perception continuous until no error … This algorithm works based on the finding groups in the data. …

… systems of the body producing symptoms such as abnormal … disturbances along with perceptual
disorders, cognitive issues, … evidence on the prevention and treatment of this finding [25]. …

… to be performed in order to allow robots to perceive human vocal affect. Usually, AER does …
of residual network (ResNet) and a deep neural network (DNN) to analyze face and body data…

… desired to perceive, analyze and transmit intermixed stimuli from the human body and …
sensors in the near future via uncovering new functional materials and delicate structure design …

… case of face perception using artificial neural networks to test the … Recent advances in deep
convolutional neural networks (… simpler networks and tasks, this study mirrors our finding of …

… Salient object detection (SOD) aims at finding the most … In Section 2, we reviewed a large
body of SOD models proposed in … layers, the model can perceive more context information with …

… only moderate genetic overlap with body mass index (Rg = … differences 31 , our population
study uncovered a pattern of sex … men was associated with more pronounced within-network …

… diagnosis tools and COVID-19 vaccine development … Body Mass Index (BMI), Physical
Activity (PA) and Perceived … elderly, 10 revealing that obesity is also implicated in impaired …

… Recent advances in modeling 3D objects mostly rely on … etry cues estimated by pre-trained
networks [72]. OmniObject3D … We set up four evaluation tracks, revealing new observations, …

… The network topology and spring parameters affect that as … In the recent development,
additional models such as … The main challenge lies in finding policies in an efficient, complete, and …