A novel transfer learning approach based on deep degradation feature adaptive alignment for remaining useful life prediction with multi-condition data.

Label as Equilibrium: A performance booster for Graph Neural Networks on node classification.

Lightweight and efficient feature fusion real-time semantic segmentation network.

An unsupervised subdomain adversarial network for remaining useful life estimation under various conditions.

A novel pseudo-random number assisted fast image encryption algorithm.

Edge convolutional networks: Decomposing graph convolutional networks for stochastic training with independent edges.

The unified image cryptography algorithm based on finite group.

Graph Entropy Minimization for Semi-supervised Node Classification.

DWFed: A statistical- heterogeneity-based dynamic weighted model aggregation algorithm for federated learning.

A unified improvement of the AES algorithm.

Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models.

An efficient network behavior anomaly detection using a hybrid DBN-LSTM network.

Distilling the Knowledge of Multiscale Densely Connected Deep Networks in Mechanical Intelligent Diagnosis.

Research on Image Denoising and Super-Resolution Reconstruction Technology of Multiscale-Fusion Images.

An Improved Fuzzy C-Means Clustering for Brain MR Images Segmentation.

ToAM: a task-oriented authentication model for UAVs based on blockchain.

Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.

Memory-Associated Differential Learning.

A hashtag-based sub-event detection framework for social media.

Plaintext-related image encryption algorithm based on perceptron-like network.

Dynamic and semantic-aware access-control model for privacy preservation in multiple data center environments.

A Novel Task Allocation Algorithm in Mobile Crowdsensing with Spatial Privacy Preservation.

Image Segmentation Based on a Robust Fuzzy C Means Algorithm.

Privacy-preserved distinct content collection in human-assisted ubiquitous computing systems.

A cross-layer QoS model for space DTN.

RTGOR: Reliability and Timeliness Guaranteed Opportunistic Routing in wireless sensor networks.

面向大数据分布式存储的动态负载均衡算法 (Dynamic Load Balance Algorithm for Big-data Distributed Storage).

A robust fuzzy clustering algorithm using mean-field-approximation based hidden Markov random field model for image segmentation.

Large-scale fuzzy multiple-medoid clustering method.

On Dynamic Job Ordering and Slot Configurations for Minimizing the Makespan Of Multiple MapReduce Jobs.

Open-source simulators for Cloud computing: Comparative study and challenging issues.

Prepartition: Paradigm for the Load Balance of Virtual Machine Allocation in Data Centers.

An Elliptic Curve-Based Trust Management Protocol in Peer-to-Peer Networks.

Transfer learning for cross-company software defect prediction.