Deep Hybrid Model Based on EMD with Classification by Frequency Characteristics for Long-Term Air Quality Prediction

Adaptive filtering for MEMS gyroscope with dynamic noise model

(2020) Yuting Bai et al.   ISA TRANSACTIONS

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model

(2020) Yu-ting Bai et al.   SENSORS

Reliable flight performance assessment of multirotor based on interacting multiple model particle filter and health degree

(2019) Zhiyao ZHAO et al.   Chinese Journal of Aeronautics

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

(2019) Yang-Yang Zheng et al.   SENSORS

Towards real-time respiratory motion prediction based on long short-term memory neural networks

(2019) Hui Lin et al.   PHYSICS IN MEDICINE AND BIOLOGY

A novel water quality mechanism modeling and eutrophication risk assessment method of lakes and reservoirs

(2019) Xiaoyi Wang et al.   NONLINEAR DYNAMICS

Particle filtering based parameter estimation for systems with output-error type model structures

(2019) Jie Ding et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Gradient-Based Iterative Parameter Estimation Algorithms for Dynamical Systems from Observation Data

(2019) Feng Ding et al.   Mathematics

An advanced spatio-temporal model for particulate matter and gaseous pollutants in Beijing, China

(2019) Jia Xu et al.   ATMOSPHERIC ENVIRONMENT

Compound Autoregressive Network for Prediction of Multivariate Time Series

(2019) Yuting Bai et al.   COMPLEXITY

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration

(2019) Veronica J. Berrocal et al.   ATMOSPHERIC ENVIRONMENT

Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data

(2019) Feng Ding et al.   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model

(2019) Feng Ding et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Hard Decision-Based Cooperative Localization for Wireless Sensor Networks

(2019) Zhaoyang Wang et al.   SENSORS

Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network

(2019) Yu-ting Bai et al.   International Journal of Environmental Research and Public Health

Integrated Predictor Based on Decomposition Mechanism for PM2.5 Long-Term Prediction

(2019) Xuebo Jin et al.   Applied Sciences-Basel

Joint Multi-innovation Recursive Extended Least Squares Parameter and State Estimation for a Class of State-space Systems

(2019) Ting Cui et al.   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

Denoising of Electrocardiogram (ECG) signal by using empirical mode decomposition (EMD) with non-local mean (NLM) technique

(2018) Shailesh Kumar et al.   Biocybernetics and Biomedical Engineering

An improved empirical mode decomposition method using second generation wavelets interpolation

(2018) Jianlin Wang et al.   DIGITAL SIGNAL PROCESSING

Hidden Markov Models-Based Approaches to Long-term Prediction for Granular Time Series

(2018) Hongyue Guo et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Hierarchical Parameter Estimation for the Frequency Response Based on the Dynamical Window Data

(2018) Ling Xu et al.   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

Use long short-term memory to enhance Internet of Things for combined sewer overflow monitoring

(2018) Duo Zhang et al.   JOURNAL OF HYDROLOGY

Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China

(2018) Tao Xiong et al.   NEUROCOMPUTING

Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis

(2018) Yuan Wang et al.   NEUROIMAGE

Hybrid Models Combining EMD/EEMD and ARIMA for Long-Term Streamflow Forecasting

(2018) Zhi-Yu Wang et al.   Water

An approach of improved Multivariate Timing-Random Deep Belief Net modelling for algal bloom prediction

(2018) Li Wang et al.   BIOSYSTEMS ENGINEERING

Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting

(2018) Jatin Bedi et al.   IEEE Access

Indoor Tracking by RFID Fusion with IMU Data

(2018) Fafa Wang et al.   ASIAN JOURNAL OF CONTROL

An approach of recursive timing deep belief network for algal bloom forecasting

(2018) Li Wang et al.   NEURAL COMPUTING & APPLICATIONS

A novel model for hourly PM2.5 concentration prediction based on CART and EELM

(2018) Zhigen Shang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Hybrid algorithm for short-term forecasting of PM2.5 in China

(2018) Yong Cheng et al.   ATMOSPHERIC ENVIRONMENT

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

(2017) Justin Salamon et al.   IEEE SIGNAL PROCESSING LETTERS

Permeate flux prediction in the ultrafiltration of fruit juices by ARIMA models

(2017) René Ruby-Figueroa et al.   JOURNAL OF MEMBRANE SCIENCE

Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting

(2017) Yusuf Yaslan et al.   MEASUREMENT

A hybrid prediction model for PM2.5 mass and components using a chemical transport model and land use regression

(2016) Qian Di et al.   ATMOSPHERIC ENVIRONMENT

Modeling pollen time series using seasonal-trend decomposition procedure based on LOESS smoothing

(2016) Jesús Rojo et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Trends and spatial patterns of fine-resolution aerosol optical depth–derived PM2.5 emissions in the Northeast United States from 2002 to 2013

(2016) Chia-Hsi Tang et al.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION

Real time air quality forecasting using integrated parametric and non-parametric regression techniques

(2015) Aoife Donnelly et al.   ATMOSPHERIC ENVIRONMENT

Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models

(2015) Khalil Benmouiza et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

(2013) Da Liu et al.   RENEWABLE ENERGY

Biometeorological and autoregressive indices for predicting olive pollen intensity

(2012) J. Oteros et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY