scTrans: Sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data.

Fusion Network Model Based on Broad Learning System for Multidimensional Time-Series Forecasting.

AMNet: a new RGB-D instance segmentation network based on attention and multi-modality.

Exploring the pharmacological mechanism of Artemisia annua herba based on network pharmacology.

A novel broad learning system integrated with restricted Boltzmann machine and echo state network for time series forecasting.

Fuzzy adaptive-normalized deep encoder-decoder network: Medium and long-term predictor of temperature and humidity in smart greenhouses.

STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution.

SpaGIC: graph-informed clustering in spatial transcriptomics via self-supervised contrastive learning.

AdaHOSVD: an adaptive higher-order singular value decomposition method for point cloud denoising.

Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System.

Location estimation based on feature mode matching with deep network models.

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction.

State of art on state estimation: Kalman filter driven by machine learning.

Optimal Deployment for Hybrid Sensor Networks Based on Efficient Node Configuration.

A Hybrid Multi-Target Path Planning Algorithm for Unmanned Cruise Ship in an Unknown Obstacle Environment.

Continuous Positioning with Recurrent Auto-Regressive Neural Network for Unmanned Surface Vehicles in GPS Outages.

Water quality evolution mechanism modeling and health risk assessment based on stochastic hybrid dynamic systems.

Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series.

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting.

Multi-Channel Fusion Classification Method Based on Time-Series Data.

The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods.

Parallel deep prediction with covariance intersection fusion on non-stationary time series.

Diagnostic and prognostic value of HSPD1 in oesophageal cancer.

Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy.

Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting.

Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model.

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model.

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making.

Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization.

Improvements of Multihop Localization Algorithm for Wireless Sensor Networks.

Hard Decision-Based Cooperative Localization for Wireless Sensor Networks.

Compound Autoregressive Network for Prediction of Multivariate Time Series.

Pedestrian indoor navigation using foot-mounted IMU with multi-sensor data fusion.

3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition.

Cooperative Localization With Bounding Constraints in Mobile Wireless Sensor Networks.

A Novel Group Decision-Making Method Based on Sensor Data and Fuzzy Information.