Sensors (Basel, Switzerland)
Apr 18, 2021
Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process of classifying skin disease through deep learning based MobileNet V2 and Long Short Term M...
Neural networks : the official journal of the International Neural Network Society
Apr 17, 2021
A three-hidden-layer neural network with super approximation power is introduced. This network is built with the floor function (⌊x⌋), the exponential function (2), the step function (1), or their compositions as the activation function in each neuro...
Science bulletin
Apr 17, 2021
Spiking neural network, inspired by the human brain, consisting of spiking neurons and plastic synapses, is a promising solution for highly efficient data processing in neuromorphic computing. Recently, memristor-based neurons and synapses are becomi...
Computational intelligence and neuroscience
Apr 17, 2021
Many current convolutional neural networks are hard to meet the practical application requirement because of the enormous network parameters. For accelerating the inference speed of networks, more and more attention has been paid to network compressi...
European radiology
Apr 16, 2021
OBJECTIVES: To perform a systematic review of design and reporting of imaging studies applying convolutional neural network models for radiological cancer diagnosis.
Neural networks : the official journal of the International Neural Network Society
Apr 16, 2021
Making full use of semantic and structure information in a sentence is critical to support entity relation extraction. Neural networks use stacked neural layers to perform designated feature transformations and can automatically extract high-order ab...
Journal of environmental management
Apr 16, 2021
Wavelet transform (WT) is an advanced preprocessing technique, which has been widely used in PM 10 prediction. However, this technique cannot provide stable performance due to the empirical selection of wavelet's layers. For fixing the optimal wavele...
Sensors (Basel, Switzerland)
Apr 16, 2021
Video anomaly recognition in smart cities is an important computer vision task that plays a vital role in smart surveillance and public safety but is challenging due to its diverse, complex, and infrequent occurrence in real-time surveillance environ...
Sensors (Basel, Switzerland)
Apr 16, 2021
For the effective application of thriving human-assistive technologies in healthcare services and human-robot collaborative tasks, computing devices must be aware of human movements. Developing a reliable real-time activity recognition method for the...
Sensors (Basel, Switzerland)
Apr 16, 2021
A lower-limb exoskeleton robot identifies the wearer's walking intention and assists the walking movement through mechanical force; thus, it is important to be able to identify the wearer's movement in real-time. Measurement of the angle of the knee ...