Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing

(2021) Ahmad Ali et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Attention based simplified deep residual network for citywide crowd flows prediction

(2021) Genan Dai et al.   Frontiers of Computer Science

Deep spatial-temporal sequence modeling for multi-step passenger demand prediction

(2021) Lei Bai et al.   Future Generation Computer Systems-The International Journal of eScience

Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model

(2021) Du Jiang et al.   Future Generation Computer Systems-The International Journal of eScience

Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks

(2021) Ahmad Ali et al.   INFORMATION SCIENCES

MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction

(2021) Shen Fang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Intelligent human computer interaction based on non redundant EMG signal

(2020) Ying Sun et al.   Alexandria Engineering Journal

Adaptive robust decoupling control of multi-arm space robots using time-delay estimation technique

(2020) Xin Zhang et al.   NONLINEAR DYNAMICS

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

(2020) Cen Chen et al.   ACM Transactions on Knowledge Discovery from Data

The effect of the dataset on evaluating urban traffic prediction

(2020) Yue Hou et al.   Alexandria Engineering Journal

CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

(2019) Danfeng Hong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate

(2019) Keyang Cheng et al.   NEURAL COMPUTING & APPLICATIONS

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

(2019) Junbo Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Effective Capture of Nongraspable Objects for Space Robots Using Geometric Cage Pairs

(2019) Xin Zhang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction

(2019) Danfeng Hong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Predicting citywide crowd flows using deep spatio-temporal residual networks

(2018) Junbo Zhang et al.   ARTIFICIAL INTELLIGENCE

FB-STEP: A Fuzzy Bayesian Network based Data-Driven Framework for Spatio-temporal Prediction of Climatological Time Series Data

(2018) Monidipa Das et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification

(2018) Danfeng Hong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

(2017) Xiaolei Ma et al.   SENSORS

Saving Human Lives: What Complexity Science and Information Systems can Contribute

(2014) Dirk Helbing et al.   JOURNAL OF STATISTICAL PHYSICS

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

(2013) Marco Lippi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predicting Taxi–Passenger Demand Using Streaming Data

(2013) Luis Moreira-Matias et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction

(2013) Young-Seon Jeong et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models

(2009) Srinivasa Ravi Chandra et al.   Journal of Intelligent Transportation Systems