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Found 10 papers, 0 papers with code
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing
Guided by the scale values generated by SCA for measuring channel importance, we further propose a new channel pruning approach called Channel Pruning guided by Spatial and Channel Attention (CPSCA).
An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data
CNN is used to extract the features of text vector to get the semantics among words and VAE is introduced to make the text feature space more consistent with Gaussian distribution.
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT
If no more than n-2 of n participants collude with the aggregation server, VFL could guarantee the encrypted gradients of other participants not being inverted.
Cryptography and Security E.3; I.2.11
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining
With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions.
DE/RM-MEDA: A New Hybrid Multi-Objective Generator
Under the condition of Karush-Kuhn-Tucker, the Pareto Set (PS) in the decision area of an m-objective optimization problem is a piecewise continuous (m-1)-D manifold.
U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery
Vegetation is the natural linkage connecting soil, atmosphere and water.
Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition Prediction
Most of the existing research methods are to extract spatial structure information on the road network and extract time series information from the historical data.
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service
The online programing services, such as Github, TopCoder, and EduCoder, have promoted a lot of social interactions among the service users.
A novel particle swarm optimizer with multi-stage transformation and genetic operation for VLSI routing
Firstly, in order to be able to handle two types of SMT problems at the same time, an effective edge-vertex encoding strategy is proposed.
An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance
To our best knowledge, this is the first attempt to analyze individual extraversion of crowd motions based on trajectories.
