Yayınlar & Eserler

Yayın Ağı
Makaleler 19
Tümü (19)
SCI-E, SSCI, AHCI (11)
SCI-E, SSCI, AHCI, ESCI (11)
Scopus (12)
TRDizin (4)
Diğer Yayınlar (4)

1. Drought index time series forecasting via three-in-one machine learning concept for the Euphrates basin

LATİFOĞLU L., BAYRAM S., Aktürk G., ÇITAKOĞLU H.
EARTH SCIENCE INFORMATICS , cilt.17, sa.6, ss.5841-5898, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma identifier identifier

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

Latifoğlu L., Altuntaş E.
The European Journal of Research and Development , cilt.4, sa.1, ss.61-84, 2024 (Hakemli Dergi)

3. Predicting Meteorological Drought in Iraq: An Evaluation of Machine Learning Techniques by Random Forest and Artificial Neural Networks

Latifoğlu L., Hasan Z., Sami .
International Research Journal of Engineering and Technology , cilt.10, sa.11, ss.52-61, 2023 (Hakemli Dergi)

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

LATİFOĞLU L., Özger M.
Sustainability (Switzerland) , cilt.15, sa.19, 2023 (SCI-Expanded, SSCI, Scopus) Creative Commons License Sürdürülebilir Kalkınma identifier identifier

5. A hybrid approach to predict the bearing capacity of a square footing on a sand layer overlying clay

UNCUOĞLU E., LATİFOĞLU L., KAYA Z.
Geomechanics and Engineering , cilt.34, sa.5, ss.561-575, 2023 (SCI-Expanded, Scopus) identifier identifier

6. High‑performance prediction model combining minimum redundancy maximum relevance, circulant spectrum analysis, and machine learning methods for daily and peak streamfow

Latifoğlu L., Kaya E.
THEORETICAL AND APPLIED CLIMATOLOGY , ss.1-23, 2023 (SCI-Expanded, Scopus)

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

KAYA Z., LATİFOĞLU L., UNCUOĞLU E., EROL A., Keskin M. S.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT , cilt.82, sa.3, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma identifier identifier

8. Prediction of Daily Streamflow Data Using Ensemble Learning Models

Latifoğlu L., Canpolat Ü.
The European Journal of Research and Development , cilt.2, sa.4, ss.356-371, 2022 (Hakemli Dergi)

9. Investigation Of Lake Water Level Forecasting Performances Of Subband Decomposition Techniques

Latifoğlu L., Haktanır T.
Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi , cilt.38, sa.3, ss.657-675, 2022 (TRDizin)

10. 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

UNCUOĞLU E., ÇITAKOĞLU H., LATİFOĞLU L., BAYRAM S., Laman M., İLKENTAPAR M., et al.
APPLIED SOFT COMPUTING , cilt.129, 2022 (SCI-Expanded, Scopus) identifier identifier

11. Derin sinir ağları modeli ile standardize yağış indeksi tahmini

Latifoğlu L.
Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi , cilt.11, sa.4, ss.1006-1024, 2022 (Scopus, TRDizin)

12. The Performance Analysis of Robust Local Mean Mode Decomposition Method for Forecasting of Hydrological Time Series

LATİFOĞLU L.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING , cilt.46, sa.4, ss.3453-3472, 2022 (SCI-Expanded, Scopus) identifier identifier

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

LATİFOĞLU L.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , cilt.29, sa.28, ss.42899-42912, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma identifier identifier identifier

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

Latifoğlu L.
Arabian Journal of Geosciences volume , cilt.15, sa.10, ss.1-16, 2022 (Hakemli Dergi)

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

Latifoğlu L.
INTERNATIONAL ADVANCED RESEARCHES and ENGINEERING JOURNAL , cilt.06, sa.01, ss.1-7, 2022 (TRDizin) Sürdürülebilir Kalkınma

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

UNCUOĞLU E., LATİFOĞLU L., Ozer A. T.
ARABIAN JOURNAL OF GEOSCIENCES , cilt.14, sa.22, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma identifier identifier

17. Forecasting Of Stream Flow Usıng Singular Spectrum Analysis And Long-Short Term Memory Networks

LATİFOĞLU L., Nuralan K. B.
Avrupa Bilim ve Teknoloji Dergisi , ss.376-381, 2020 (TRDizin)

18. Importance of hybrid models for forecasting of hydrological variable

Latifoglu L., Kisi O., LATİFOĞLU F.
NEURAL COMPUTING & APPLICATIONS , cilt.26, sa.7, ss.1669-1680, 2015 (SCI-Expanded, Scopus) identifier identifier

19. Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series

Kisi O., Latifoglu L., LATİFOĞLU F.
WATER RESOURCES MANAGEMENT , cilt.28, sa.12, ss.4045-4057, 2014 (SCI-Expanded, Scopus) identifier identifier
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 6

1. Performance Analysis of Principal Component Analysis and Long Short-Term Memory Networks Using Hydrometeorological Variables for Forecasting of Daily Stream-Flow Data

Latifoğlu L.
1st International Conference on Applied Engineering and Natural Sciences, Konya, Türkiye, 1 - 03 Kasım 2021, ss.271-276, (Tam Metin Bildiri)

2. HIGH PERFORMANCE PREDICTION OF STREAM FLOW DATA USING EMPIRICAL WAVELET TRANSFORM AND DECISION TREE ALGORITHMS

Latifoğlu L.
CUKUROVA 7th INTERNATIONAL SCIENTIFIC RESEARCHES CONFERENCE, Adana, Türkiye, 7 - 08 Eylül 2021, ss.774-783, (Tam Metin Bildiri)

3. GÜNLÜK NEHİR AKIŞ VERİLERİNİN GEÇİTLİ TEKRARLAYAN BİRİM, UZUN KISA SÜRELİ BELLEK AĞLARI VE ÇİFT YÖNLÜ UZUN-KISA SÜRELİ BELLEK AĞLARI İLE TAHMİNİ

Latifoğlu L.
3. ULUSAL BAŞKENT DİSİPLİNLER ARASI BİLİMSEL ÇALIŞMALAR KONGRESİ, 14 - 15 Mart 2021, ss.302-310, (Tam Metin Bildiri)

4. Evaluating Stream Flow Forecasting Performance Using Adaptive Network Based Fuzzy Logic Inference System, Artificial Neural Networks with Feature Selection

LATİFOĞLU L.
IConTES 2020: International Conference on Technology, Engineering and Science, 29 Kasım - 01 Aralık 2020, (Tam Metin Bildiri)

5. Kızılırmak Yamula Barajı Rezervuarında Sediment Dağılımının HEC-6 ile İncelenmesi

ARDIÇLIOĞLU M., Latifoğlu L.
XVII. Teknik Kongre ve Sergisi, İstanbul, Türkiye, 1 - 04 Aralık 2004, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

6. The Modelling Of Kizilirmak-Yamula Station Sediment Movement With Hec-6

Latifoğlu L., ARDIÇLIOĞLU M.
2nd FAE International Symposium, Kıbrıs (Kktc), 1 - 04 Eylül 2002, (Tam Metin Bildiri)
Metrikler

Yayın

26

Yayın (WoS)

11

Yayın (Scopus)

12

Atıf (WoS)

158

H-İndeks (WoS)

6

Atıf (Scopus)

230

H-İndeks (Scopus)

7

Atıf (Scholar)

243

H-İndeks (Scholar)

6

Atıf (Sobiad)

31

H-İndeks (Sobiad)

4

Proje

2

Açık Erişim

29
BM Sürdürülebilir Kalkınma Amaçları