Application of boosted tree algorithm with new data preprocessing techniques in the forecasting one day ahead streamflow values in the Tigris basin, Türkiye

Evaluation of the success of the hybrid wavelet-based ANFIS approach in the estimation of monthly stream flows of the Bitlis River, Turkey

(2023) Okan Mert Katipoğlu   Water Science and Technology-Water Supply

Daily Scale River Flow Forecasting Using Hybrid Gradient Boosting Model with Genetic Algorithm Optimization

(2023) Huseyin Cagan Kilinc et al.   WATER RESOURCES MANAGEMENT

Comparative Study for Daily Streamflow Simulation with Different Machine Learning Methods

(2023) Ruonan Hao et al.   Water

Performance evaluation of artificial neural network model in hybrids with various preprocessors for river streamflow forecasting

(2023) Sadegh Momeneh et al.   Aqua

Directed graph deep neural network for multi-step daily streamflow forecasting

(2022) Yongqi Liu et al.   JOURNAL OF HYDROLOGY

Monthly streamflow prediction in Amasya, Türkiye, using an integrated approach of a feedforward backpropagation neural network and discrete wavelet transform

(2022) Okan Mert KATİPOĞLU   Modeling Earth Systems and Environment

Daily streamflow forecasting in Sobradinho Reservoir using machine learning models coupled with wavelet transform and bootstrapping

(2021) Samuel Vitor Saraiva et al.   APPLIED SOFT COMPUTING

An adaptive daily runoff forecast model using VMD-LSTM-PSO hybrid approach

(2021) Xiujie Wang et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Improved Hilbert–Huang transform with soft sifting stopping criterion and its application to fault diagnosis of wheelset bearings

(2021) Zhiliang Liu et al.   ISA TRANSACTIONS

Flood Stage Forecasting Using Machine-Learning Methods: A Case Study on the Parma River (Italy)

(2021) Susanna Dazzi et al.   Water

Comparison of Forecasting Models for Real-Time Monitoring of Water Quality Parameters Based on Hybrid Deep Learning Neural Networks

(2021) Jian Sha et al.   Water

Enhancing robustness of monthly streamflow forecasting model using gated recurrent unit based on improved grey wolf optimizer

(2021) Xuehua Zhao et al.   JOURNAL OF HYDROLOGY

A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

(2021) Karim Sherif Mostafa Hassan Ibrahim et al.   Alexandria Engineering Journal

Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting

(2020) Ganggang Zuo et al.   JOURNAL OF HYDROLOGY

Annual Streamflow Time Series Prediction Using Extreme Learning Machine Based on Gravitational Search Algorithm and Variational Mode Decomposition

(2020) Wen-jing Niu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

The importance of short lag-time in the runoff forecasting model based on long short-term memory

(2020) Xi Chen et al.   JOURNAL OF HYDROLOGY

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

Air quality data series estimation based on machine learning approaches for urban environments

(2020) Alireza Rahimpour et al.   Air Quality Atmosphere and Health

Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction

(2020) Mehmet Özger et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

(2019) Xiaohu Wen et al.   JOURNAL OF HYDROLOGY

An Ensemble Decomposition-Based Artificial Intelligence Approach for Daily Streamflow Prediction

(2019) Mohammad Rezaie-Balf et al.   Water

Water footprint assessment within a catchment: A case study for Upper Tigris River Basin

(2019) Abdullah Muratoglu   ECOLOGICAL INDICATORS

Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners

(2019) Khabat Khosravi et al.   Groundwater

Assessment of forecasting methods on performance of photovoltaic-battery systems

(2018) G.B.M.A. Litjens et al.   APPLIED ENERGY

A Hybrid De-Noising Algorithm for the Gear Transmission System Based on CEEMDAN-PE-TFPF

(2018) Lili Bai et al.   Entropy

The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River

(2018) Lamine Diop et al.   Environmental Earth Sciences

A robust method for non-stationary streamflow prediction based on improved EMD-SVM model

(2018) Erhao Meng et al.   JOURNAL OF HYDROLOGY

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

(2017) Jeong-Cheol Kim et al.   Geocarto International

An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting

(2017) Xuehua Zhao et al.   Water

Streamflow Forecasting Using Empirical Wavelet Transform and Artificial Neural Networks

(2017) Tian Peng et al.   Water

Determining the lengths of dry periods in annual and monthly stream flows using runs analysis at Karasu River, in Turkey

(2017) Okan Mert Katipoğlu et al.   Water Science and Technology-Water Supply

ECG signal denoising via empirical wavelet transform

(2016) Omkar Singh et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Filter bank property of variational mode decomposition and its applications

(2016) Yanxue Wang et al.   SIGNAL PROCESSING

Variational mode decomposition denoising combined the detrended fluctuation analysis

(2016) Yuanyuan Liu et al.   SIGNAL PROCESSING

Tracking Changes in Cardiac Output

(2015) Bernd Saugel et al.   ANESTHESIA AND ANALGESIA

RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia

(2015) Zaher Mundher Yaseen et al.   NEURAL COMPUTING & APPLICATIONS

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series

(2014) Ozgur Kisi et al.   WATER RESOURCES MANAGEMENT

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting

(2013) Honey Badrzadeh et al.   JOURNAL OF HYDROLOGY