A novel cause analysis approach of grey reasoning Petri net based on matrix operations
Neural TV program recommendation with label and user dual attention
Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval
Dynamic Kernel CNN-LR model for people counting
From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19
S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection
Triplet attention multiple spacetime-semantic graph convolutional network for skeleton-based action recognition
A model and algorithm for identifying driver pathways based on weighted non-binary mutation matrix
A parallel memetic algorithm with explicit management of diversity for the job shop scheduling problem
MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix
DWE-IL: a new incremental learning algorithm for non-stationary time series prediction via dynamically weighting ensemble learning
Artificial electric field algorithm with inertia and repulsion for spherical minimum spanning tree
CFENet: Content-aware feature enhancement network for multi-person pose estimation
Deep belief networks with self-adaptive sparsity
Weighted frequent sequential pattern mining
ETBRec: a novel recommendation algorithm combining the double influence of trust relationship and expert users
Deformable and residual convolutional network for image super-resolution
Evolved fuzzy min-max neural network for new-labeled data classification
Soft adaptive loss based Laplacian eigenmaps
A multi-focus image fusion method based on attention mechanism and supervised learning
Transfer learning from synthetic labels for histopathological images classification
Research on a new optimization algorithm simulating multi- states of matter inspired by finite element analysis approach
Weighted multi-view co-clustering (WMVCC) for sparse data
RD-Hand: a real-time regression-based detector for dynamic hand gesture
Prioritized planning algorithm for multi-robot collision avoidance based on artificial untraversable vertex
Linear dynamical systems approach for human action recognition with dual-stream deep features
Lightweight surrogate random forest support for model simplification and feature relevance
Using known nonself samples to improve negative selection algorithm
Multi-instance cancellable biometrics schemes based on generative adversarial network
Scene text detection by adaptive feature selection with text scale-aware loss
Coupled low rank representation and subspace clustering
Dual adaptive alignment and partitioning network for visible and infrared cross-modality person re-identification
Lightweight and efficient asymmetric network design for real-time semantic segmentation
Joint pyramid attention network for real-time semantic segmentation of urban scenes
COVID-19 cases prediction in multiple areas via shapelet learning
A robust zero-watermarking algorithm for lossless copyright protection of medical images
Discriminative least squares regression for multiclass classification based on within-class scatter minimization
Developing a BERT based triple classification model using knowledge graph embedding for question answering system
Efficient residual attention network for single image super-resolution
Deep learning frameworks to learn prediction and simulation focused control system models
Correction to: Deep learning frameworks to learn prediction and simulation focused control system models
A new QoC parameter and corresponding context inconsistency elimination algorithms for sensed contexts and non-sensed contexts
Mathematical modelling for decision making of lockdown during COVID-19
Kernelized multi-view subspace clustering via auto-weighted graph learning
A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process
A scalable parallel preconditioned conjugate gradient method for bundle adjustment
Unsupervised deformable image registration network for 3D medical images
LSTM-TC: Bitcoin coin mixing detection method with a high recall
Cure models to estimate time until hospitalization due to COVID-19
Estate price prediction system based on temporal and spatial features and lightweight deep learning model
