Calorific value prediction of coal and its optimization by machine learning based on limited samples in a wide range
Energy, Vol. 277, Ağustos 2023, s. 127666, ISSN: 0360-5442
BÜYÜKKANBER KAAN, AÇMA HANZADE, YAMAN SERDAR
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A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Elsevier BV, Vol. 44, Ağustos 2023, ISSN: 2215-0986
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
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A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods
THEORETICAL AND APPLIED CLIMATOLOGY, Vol. 151, Ocak 2023, s. 18, ISSN: 0177-798X
EKMEKCİOĞLU ÖMER, BAŞAKIN EYÜP ENSAR, ALTINBAŞ NİLCAN, ÖZGER MEHMET, YEŞİLKÖY SERHAN, ŞAYLAN LEVENT
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Understanding the Controlling Factors for CO2 Sequestration in Depleted Shale Reservoirs Using Data Analytics and Machine Learning
ACS Omega, Vol. 7, Haziran 2022, ISSN: 2470-1343
ARTUN FAZIL EMRE,KULGA İHSAN BURAK
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Comparative Analysis of Deep Learning and Machine Learning Models for Burned Area Estimation Using Sentinel-2 Image: A Case Study in Muğla-Bodrum, Turkey
International Conference on Recent Advances in Air and Space Technologies (RAST 2023), Istanbul/TÜRKİYE, 7 Haziran 2023, s. 1-5
TONBUL HASAN, YILMAZ ELİF ÖZLEM, KAVZOĞLU TAŞKIN
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A comparative evaluation of machine learning classification models utilizing GIS and key flood-causing factors for enhancing flood vulnerability assessment
Environ Dev Sustain, Ocak 2025, ISSN: 1387-585X
AL-JUAİDİ AHMED E. M.,TAYLAN OSMAN,TOROS HÜSEYİN
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Machine learning-based prediction of seismic failure mode of reinforced concrete structural walls
7th International Conference on Earthquake Engineering and Seismology, Antalya/TÜRKİYE, 6 Kasım 2023
DEĞER ZEYNEP, TAŞKIN KAYA GÜLŞEN
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Developing a machine learning-based evaluation system for the recruitment of maritime professionals
Ocean Engineering, Vol. 313, No. 119406, Aralık 2024, s. 1-10, ISSN: 0029-8018
GÖLBOL PEKDAŞ İPEK,UFLAZ ESMA,TORNACI FURKAN,ARSLAN ÖZCAN,TURAN OSMAN
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Cervical cancer risk assessment using machine learning integrated fuzzy MCDM methodology
Journal of Intelligent & Fuzzy Systems, Vol. 46, No. 5, Şubat 2024, s. 19, ISSN: 1064-1246
CAMGÖZ AKDAĞ HATİCE,MENEKŞE AKIN,ŞAHİN FATİH
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Machine-Learning Based Selection of Candidate Wells for Extended Shut-In Due to Fluctuating Oil Prices
SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition, Viyana/AVUSTURYA, 5 Haziran 2023
LOBUT BEYZA, ARTUN FAZIL EMRE
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Root-zone Soil Moisture Nowcasting using Context Aware Machine Learning
2023 11th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2023, Wuhan/ÇİN HALK CUMHURİYETİ, 25 Temmuz 2023
AKTAŞ AYDA FITRIYE, ÜSTÜNDAĞ BURAK BERK
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Explainable AI-Driven Analysis of Construction and Demolition Waste Credit Selection in LEED Projects
ARCHITECTURE-SWITZERLAND, Vol. 5, No. 4, Mart 2025, ISSN: 2673-8945
KURUOĞLU MURAT,MAÇKA KALFA SİBEL,TOKDEMİR ONUR BEHZAT,SÖNMEZ NURŞEN
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Compressed Spectrum Sensing Using Sparse Recovery Convergence Patterns through Machine Learning Classification
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 10 Eylül 2019
NAZZAL MAHMOUD,HASEKİOĞLU ORKUN,EKTİ ALİ RIZA,GÖRÇİN ALİ,ARSLAN HÜSEYİN
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A machine learning-based prediction model for architectural heritage: the case of domed Sinan mosques
Digital Applications in Archaeology and Cultural Heritage, Ağustos 2024, ISSN: 2212-0548
GÜZELCİ ORKAN ZEYNEL, ALAÇAM SEMA, BEKİROĞLU BAVER, KARADAĞ İLKER
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Benchmark of machine learning algorithms on transient stability prediction in renewable rich power grids under cyber-attacks
Internet of Things, Vol. 25, Nisan 2024, ISSN: 2542-6605
AYGÜL KEMAL,MOHAMMADPOURFARD MOSTAFA,KESİCİ MERT,KÜÇÜKTEZCAN CAVİT FATİH,GENÇ VEYSEL MURAT İSTEMİHAN
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Prediction of the Electricity Consumption of Turkey by Using Machine Learning Methods
INTERNATIONAL CONGRESS OF ENERGY ECONOMY AND SECURITY (ENSCON, 2018), İstanbul/TÜRKİYE, 21 Nisan 2018
BAŞAKIN EYYUP ENSAR, SARI SALİM SERCAN, EKMEKCİOĞLU ÖMER
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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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Effluent parameters prediction of a biological nutrient removal (BNR) process using different machine learning methods: A case study
Journal of Environmental Management, Vol. 351, Şubat 2024, s. 119899, ISSN: 0301-4797
MANAV DEMİR NESLİHAN, GELGOR HUSEYİN BARAN, ÖZ ERSOY, İLHAN FATİH, ULUCAN-ALTUNTAS KÜBRA, TİWARY ABHİSHEK, DEBİK EYÜP
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Machine learning approaches to quantitatively predict selectivity of compounds against HDAC1 and HDAC6 isoforms
8th International Bau Drug Design Congress: Novel Methods and Emerging Targets in Drug Discovery and Patented Drug Development, İstanbul/TÜRKİYE, 15 Aralık 2022
DOĞAN BERNA
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Machine Learning-Based Estimation of Solids Content in Drilling Fluids Through Utilization of a Comprehensive Mud-Report Database
SPE Europe Energy Conference and Exhibition, Viyana/AVUSTURYA, 16 Ocak 2025
GÜNEL BERAT TUĞBERK,ARTUN FAZIL EMRE,GÜL SERCAN,KULGA İHSAN BURAK,PAK YASEMİN DEFNE,HEREKELİ AHMET ÖZGÜN
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