Unlocking Reservoir Potential: Machine Learning-Driven Prediction of Reservoir Properties and Sweet Spots Identification
International Petroleum Technology Conference, Dhahran/SUUDİ ARABİSTAN, 25 Şubat 2024
KHAN MUHAMMAD,BERY ANDY ANDERSON,ALİ S. S.,AWFİ S.,BASHİR YASİR
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Four-Dimension Seismic Analysis in Carbonate: A Closed Loop Study
MDPI AG, Vol. 12, No. 19, Eylül 2022, s. 14, ISSN: 31
MAHGOUB MOHAMED, BASHİR YASİR, BERY ANDY ANDERSON, NOUFAL ABDELWAHAB
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Machine Learning Applications of 4D Seismic in Carbonate: Case Study Offshore Abu Dhabi
ADIPEC, Abu Dhabi, UAE, October 2022., 12 Ekim 2022
MAHGOUB MOHAMED, BASHİR YASİR, BERY ANDY ANDERSON
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Data-driven modeling of ultimate load capacity of closed- and open-ended piles using machine learning
Informa UK Limited, Vol. 17, Nisan 2023, ISSN: 1938-6362
ÜLKER MEHMET BARIŞ CAN, ALTINOK EMİRHAN, TAŞKIN KAYA GÜLŞEN
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Integrated analysis of wireline logs analysis, seismic interpretation, and machine learning for reservoir characterisation: Insights from the late Eocene McKee Formation, onshore Taranaki Basin, New Zealand
Journal of King Saud University - Science, Vol. 36, Temmuz 2024, ISSN: 1018-3647
OLUTOKİ JOHN OLUWADAMİLOLA,SİDDİQUİ NUMAİR AHMED,HAQUE AKM EAHSANUL,AKİNYEMİ OLUWASEUN DANİEL,MOHAMMED HASSAN SALİSU,BASHİR YASİR,EL-GHALİ MOHAMED A.K.
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A novel machine learning approach for interpolating seismic velocity and electrical resistivity models for early-stage soil-rock assessment
Earth Science Informatics, Vol. 17, Nisan 2024, ISSN: 1865-0473
DİCK MBUOTİDEM DAVİD,BERY ANDY ANDERSON,OKONNA NSİDİBE NDARAKE,EKANEM KUFRE RİCHARD,BASHİR YASİR,AKİNGBOYE ADEDİBU SUNNY
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Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region
Earth Science Informatics, Vol. 17, No. 6, Eylül 2024, s. 5709-5730, ISSN: 1865-0473
TONBUL HASAN
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Classification of hybrid maize seeds (Zea mays) with object-based machine learning algorithms using multispectral UAV imagery
6th Intercontinental Geoinformation Days, Bakü/AZERBAYCAN, 13 Haziran 2023, s. 157-161
ÇÖLKESEN İSMAİL,SEFERCİK UMUT GÜNEŞ,KAVZOĞLU TAŞKIN,TONBUL HASAN,ÖZTÜRK MUHAMMED YUSUF,ALTUNTAŞ OSMAN YAVUZ,NAZAR MERTCAN,AYDIN İLYAS
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Prediction of Deviatoric Stress Generation for Liquefiable Soils with Machine Learning
19th National Soil Mechanics and Geotechnical Engineering Conference, 17 Ekim 2024
BİRİNCİ ÖMER TUĞŞAD,ÜLKER MEHMET BARIŞ CAN
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Data-driven modeling of ultimate load capacity of closed- and open-ended piles using machine learning
INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING, Vol. 17, No. 4, Ocak 2023, s. 15-407, ISSN: 1938-6362
ÜLKER MEHMET BARIŞ CAN, ALTINOK EMİRHAN, TAŞKIN KAYA GÜLŞEN
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Prediction of Load Capacities of Closed-Ended Piles using Boosting Machine Learning Methods
5th International Conference on New Developments in Soil Mechanics and Geotechnical Engineering, Lefkoşa/KUZEY KIBRIS TÜRK CUMHURİYETİ, 30 Haziran 2022
KARAKAŞ SEYİDCEM, ÜLKER MEHMET BARIŞ CAN, TAŞKIN KAYA GÜLŞEN
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Re-evaluation of machine learning models for predicting ultimate bearing capacity of piles through SHAP and Joint Shapley methods
Springer Science and Business Media LLC, Vol. 36, Ocak 2024, s. 697-715, ISSN: 0941-0643
KARAKAŞ SEYİDCEM,TAŞKIN KAYA GÜLŞEN,ÜLKER MEHMET BARIŞ CAN
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Deep Learning Models for Physiological Data Classification of Children During Computerized Auditory Tests: Deep Learning-Based Emotion Recognition in Child-Computer Interaction Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning
2022, IGI Global
EROL BARKANA DUYGUN, KAŞIKÇI ITIR, KÖSE HATİCE, GÜMÜŞLÜ ELİF, YILAR SELMA, DEMİRPENÇE SEÇİNTİ DİLARA
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Re-evaluation of machine learning models for predicting ultimate bearing capacity of piles through SHAP and Joint Shapley methods
Neural Computing and Applications, Vol. 36, Ocak 2025, ISSN: 0941-0643
KARAKAŞ SEYİDCEM, TAŞKIN KAYA GÜLŞEN, ÜLKER MEHMET BARIŞ CAN
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Paddy Rice Phenology Classification Based on Machine Learning Methods Using Multitemporal Co Polar X Band SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 6, Haziran 2016, s. 2509-2519, ISSN: 1939-1404
KÜÇÜK ÇAĞLAR,TAŞKIN KAYA GÜLŞEN,ERTEN ESRA
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Forecasting surface movements based on PSI time series using machine learning algorithms
International Journal of Remote Sensing, Vol. 45, Mart 2024, ISSN: 0143-1161
YAĞMUR AYDIN NUR,TAŞKIN KAYA GÜLŞEN,MUSAOĞLU NEBİYE,ERTEN ESRA
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COMPARISON OF OBJECT BASED MACHINE LEARNING CLASSIFICATIONS OF PLANETSCOPE AND WORLDVIEW-3 SATELLITE IMAGES FOR LANDUSE / COVER
ISPRS Geospatial Week, 10 Haziran 2019
TUZCU AYLİN,TAŞKIN KAYA GÜLŞEN,MUSAOĞLU NEBİYE
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An earthquake damage identification approach from VHR image using mathematical morphology and machine learning
Springer Science and Business Media LLC, Vol. 34, Haziran 2022, ISSN: 0941-0643
ALATAŞ ENES OĞUZHAN, TAŞKIN KAYA GÜLŞEN
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Machine learning-based predictive models for equivalent damping ratio of RC shear walls
Springer Science and Business Media LLC, Vol. 21, Ocak 2023, ISSN: 1570-761X
YAGHOUBI SHARAREH, DEĞER ZEYNEP, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH
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INVESTIGATION OF INFLUENTIAL PARAMETERS ON ENERGY DISSIPATION CAPACITY OF RC SHEAR WALLS BASED ON MACHINE LEARNING METHODS
6. International Earthquake Engineering and Seismology Conference, 3 Ekim 2021
TOPALOĞLU BERKAY, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH, DEĞER ZEYNEP
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