A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting

Forecasting crude oil price with a new hybrid approach and multi-source data

(2021) Yifan Yang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Hybrid forecasting system based on data area division and deep learning neural network for short-term wind speed forecasting

(2021) Zhuoyi Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Incorporating travel behavior regularity into passenger flow forecasting

(2021) Zhanhong Cheng et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Hyperplane-driven and projection-assisted search for solving many-objective optimization problems

(2021) Jiajun Zhou et al.   INFORMATION SCIENCES

A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting

(2020) Hongtao Li et al.   APPLIED SOFT COMPUTING

Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization

(2020) Zi-Min Gu et al.   Future Generation Computer Systems-The International Journal of eScience

Urban flow prediction from spatiotemporal data using machine learning: A survey

(2020) Peng Xie et al.   Information Fusion

A novel integrated price and load forecasting method in smart grid environment based on multi-level structure

(2020) Yang Zhang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Current status of hybrid structures in wind forecasting

(2020) Mehrnaz Ahmadi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A new secondary decomposition ensemble learning approach for carbon price forecasting

(2020) Hongtao Li et al.   KNOWLEDGE-BASED SYSTEMS

DeepPF: A deep learning based architecture for metro passenger flow prediction

(2019) Yang Liu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Effective passenger flow forecasting using STL and ESN based on two improvement strategies

(2019) Lan Qin et al.   NEUROCOMPUTING

Short-term passenger flow prediction under passenger flow control using a dynamic radial basis function network

(2019) Haiying Li et al.   APPLIED SOFT COMPUTING

Multivariate Variational Mode Decomposition

(2019) Naveed ur Rehman et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system

(2019) Siyu Hao et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A multi-scale method for forecasting oil price with multi-factor search engine data

(2019) Ling Tang et al.   APPLIED ENERGY

A modified variational mode decomposition method based on envelope nesting and multi-criteria evaluation

(2019) Yujie Zhao et al.   JOURNAL OF SOUND AND VIBRATION

Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition

(2018) Xinyu Chen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Real time transit demand prediction capturing station interactions and impact of special events

(2018) Peyman Noursalehi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

The application of meteorological data and search index data in improving the prediction of HFMD: A study of two cities in Guangdong Province, China

(2018) Shaoxing Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Nonlinear Chirp Mode Decomposition: A Variational Method

(2017) Shiqian Chen et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Forecasting short-term subway passenger flow under special events scenarios using multiscale radial basis function networks

(2017) Yang Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Achieving energy savings by intelligent transportation systems investments in the context of smart cities

(2017) Yang Chen et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting

(2016) Lean Yu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system

(2015) Yuxing Sun et al.   NEUROCOMPUTING

Synchrosqueezing-based time-frequency analysis of multivariate data

(2015) Alireza Ahrabian et al.   SIGNAL PROCESSING

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Hybrid image fusion scheme using self-fractional Fourier functions and multivariate empirical mode decomposition

(2014) J.B. Sharma et al.   SIGNAL PROCESSING

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach

(2013) Himanshu Jain et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Extreme learning machines: a survey

(2011) Guang-Bin Huang et al.   International Journal of Machine Learning and Cybernetics

Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool

(2010) Ingrid Daubechies et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Empirical Mode Decomposition for Trivariate Signals

(2009) N. ur Rehman et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Multivariate empirical mode decomposition

(2009) N. Rehman et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Detecting influenza epidemics using search engine query data

(2008) Jeremy Ginsberg et al.   NATURE