Levent Latifoğlu

发表

Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for solving civil engineering problems

E. Uncuoğlu, M. Laman, H. Citakoglu, 2022, Appl. Soft Comput..

Application of the novel circulant singular spectrum analysis ensemble model for forecasting of streamflow data

Levent Latifoğlu, 2022, Arabian Journal of Geosciences.

Importance of hybrid models for forecasting of hydrological variable

F. Latifoğlu, Ö. Kisi, Levent Latifoğlu, 2015, Neural Computing and Applications.

Modelling of lateral effective stress using the particle swarm optimization with machine learning models

A. T. Özer, E. Uncuoğlu, Levent Latifoğlu, 2021, Arabian Journal of Geosciences.

A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks

Levent Latifoğlu, Levent Latifoğlu, 2021, Environmental Science and Pollution Research.

Predicting liquefaction-induced lateral spreading by using the multigene genetic programming (MGGP), multilayer perceptron (MLP), and random forest (RF) techniques

E. Uncuoğlu, M. Keskin, Z. Kaya, 2023, Bulletin of Engineering Geology and the Environment.

Correction to: The Performance Analysis of Robust Local Mean Mode Decomposition Method for Forecasting of Hydrological Time Series

Levent Latifoğlu, 2022, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

A novel approach for prediction of daily streamflow discharge data using correlation based feature selection and random forest method

Levent Latifoğlu, 2022, International Advanced Researches and Engineering Journal.

Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series

Ozgur Kisi, Levent Latifoğlu, Fatma Latifoğlu, 2014, Water Resources Management.

A Novel Approach for High-Performance Estimation of SPI Data in Drought Prediction

M. Özger, Levent Latifoğlu, 2023, Sustainability.

Deep Learning Approaches for Stream Flow and Peak Flow Prediction: A Comparative Study

Levent Latifoğlu, Emre Altuntaş, 2024, The European Journal of Research and Development.