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levent latifoğlu
levent latifoğlu
Verified email at erciyes.edu.tr
Title
Cited by
Cited by
Year
Investigation of empirical mode decomposition in forecasting of hydrological time series
O Kisi, L Latifoğlu, F Latifoğlu
Water resources management 28, 4045-4057, 2014
582014
Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for solving civil …
E Uncuoglu, H Citakoglu, L Latifoglu, S Bayram, M Laman, M Ilkentapar, ...
Applied Soft Computing 129, 109623, 2022
482022
Importance of hybrid models for forecasting of hydrological variable
L Latifoğlu, Ö Kişi, F Latifoğlu
Neural Computing and Applications 26, 1669-1680, 2015
192015
A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks
L Latifoğlu
Environmental Science and Pollution Research 29 (28), 42899-42912, 2022
122022
The performance analysis of robust local mean mode decomposition method for forecasting of hydrological time series
L Latifoğlu
Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2022
9*2022
Modelling of lateral effective stress using the particle swarm optimization with machine learning models
E Uncuoğlu, L Latifoğlu, AT Özer
Arabian Journal of Geosciences 14, 1-18, 2021
52021
Tekil spektrum analizi ve uzun-kısa süreli bellek ağları ile nehir akım tahmini
L Latifoğlu, KB Nuralan
Avrupa Bilim ve Teknoloji Dergisi, 376-381, 2020
52020
Predicting liquefaction-induced lateral spreading by using the multigene genetic programming (MGGP), multilayer perceptron (MLP), and random forest (RF) techniques
Z Kaya, L Latifoglu, E Uncuoglu, A Erol, MS Keskin
Bulletin of Engineering Geology and the Environment 82 (3), 84, 2023
42023
Application of the novel circulant singular spectrum analysis ensemble model for forecasting of streamflow data
L Latifoğlu
Arabian Journal of Geosciences 15 (10), 982, 2022
32022
A novel approach for prediction of daily streamflow discharge data using correlation based feature selection and random forest method
L Latifoğlu
International Advanced Researches and Engineering Journal 6 (1), 1-7, 2022
32022
A Novel Approach for High-Performance Estimation of SPI Data in Drought Prediction
L Latifoğlu, M Özger
Sustainability 15 (19), 14046, 2023
22023
Evaluating Stream Flow Forecasting Performance Using Adaptive Network Based Fuzzy Logic Inference System, Artificial Neural Networks with Feature Selection
L LATIFOGLU
The Eurasia Proceedings of Science Technology Engineering and Mathematics 11 …, 2020
22020
Prediction of Daily Streamflow Data Using Ensemble Learning Models
L Latifoğlu, Ü Canpolat
The European Journal of Research and Development 2 (4), 356-371, 2022
12022
Deep Learning Approaches for Stream Flow and Peak Flow Prediction: A Comparative Study
L Latifoğlu, E Altuntaş
The European Journal of Research and Development 4 (1), 61-84, 2024
2024
High-performance prediction model combining minimum redundancy maximum relevance, circulant spectrum analysis, and machine learning methods for daily and peak streamflow
L Latifoğlu, E Kaya
Theoretical and Applied Climatology 155 (1), 621-643, 2024
2024
A hybrid approach to predict the bearing capacity of a square footing on a sand layer overlying clay
E Uncuoglu, L Latifoglu, Z Kaya
Geomechanics and Engineering 34 (5), 561-575, 2023
2023
Investigation Of Lake Water Level Forecasting Performances Of Subband Decomposition Techniques
L Latifoğlu, T HAKTANİR
Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 38 (3 …, 2022
2022
Derin sinir ağları modeli ile standardize yağış indeksi tahmini
L Latifoğlu
Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 1-1, 2022
2022
The Performance Analysis of Robust Local Mean Mode Decomposition Method for Forecasting of Hydrological Time Series (Jan, 10.1007/s40996-021-00809-2, 2022)
L Latifoglu
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING …, 2022
2022
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