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Short-mid-term solar power prediction by using artificial neural networks
SOLAR ENERGY, Vol. 86, No. 2, Ocak 2012, s. 9, ISSN: 0038-092X
KAYMAK MUSTAFA KEMAL,ÖZTOPAL AHMET,DURNA BİHTER,İZGİ ERCAN,ŞAHİN AHMET DURAN
Forecasting Energy Consumption in Smart Grids Using Convolutional Neural Networks
INTERNATIONAL GRADUATE RESEARCH SYMPOSIUM - IGRS’23At: Istanbul, Turkey, 2023, İstanbul/TÜRKİYE, No. 2, 16 Aralık 2024, s. 205-205
FADOUL FATHİ FARAH,ÇAĞLAR RAMAZAN
KUMAŞ HATALARININ DERİN ÖĞRENME YÖNTEMLERİYLE BELİRLENMESİ ÜZERİNE BİR İNCELEME
Ulusal Çukurova Tekstil Kongresi, Adana/TÜRKİYE, 26 Eylül 2024
BİRSEN SİNEM,SARIÇAM CANAN
The effect of artificial neural networks on cost estimation in construction projects: A literature review
8th International Project and Construction Management Conference, 6 Haziran 2024
ŞERBETÇİOĞLU BOĞAÇHAN,ÇAKMAK FATMA PINAR
Fatma Pınar Çakmak Tam metin bildiri
Integrating Bayesian inference and neural ODEs for microgrids dynamics parameters estimation
Sustainable Energy, Grids and Networks, Vol. 39, Eylül 2024, ISSN: 2352-4677
FADOUL FATHİ FARAH,ÇAĞLAR RAMAZAN
Spatio-Temporal Missing Data Reconstruction by Using Deep Neural Networks in Agricultural Monitoring Systems
2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 25 Temmuz 2023
ŞENTOP MEHMET SELAHADDİN,YÜCEL MERİÇ,ÜSTÜNDAĞ BURAK BERK
Meriç Yücel Tam metin bildiri
Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks
PeerJ, Vol. 11, Mart 2023, ISSN: 2167-8359
TUNÇ HÜSEYİN, DOĞAN BERNA, DARENDELİ KİRAZ BÜSRA NUR, SARI MURAT, DURDAĞI SERDAR, KOTİL ENES SEYFULLAH
Berna Doğan Özgün Makale
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
American Institute of Aeronautics and Astronautics (AIAA) Journal of Aerospace Information Systems, Vol. 20, No. 5, Mayıs 2023, ISSN: 1940-3151
TEKASLAN HÜSEYİN EMRE, NİKBAY MELİKE
Melike Nikbay Özgün Makale
Predicting the Seam Strength of Notched Webbings for Parachute Assemblies Using the Taguchi s Design of Experiment and Artificial Neural Networks
Textile Research Journal, Vol. 79, No. 5, 2009, s. 468-478
ÖNAL LEVENT,ZEYDAN MİTHAT,KORKMAZ MAHMUT,MEERAN SHEİKH
Levent Önal Özgün Makale
Renewable GenCo bidding strategy using newsvendor-based neural networks: An example from Turkish electricity market
Electric Power Systems Research, Vol. 231, Haziran 2024, ISSN: 0378-7796
POLAT EZGİ,GÜLER MEHMET GÜRAY,ULUKUŞ MEHMET YASİN
Mehmet Yasin Ulukuş Özgün Makale
Towards Engineered Hydrochars: Application of Artificial Neural Networks in the Hydrothermal Carbonization of Sewage Sludge
ENERGIES, Vol. 14, No. 11, Mayıs 2021, s. 3000, ISSN: 1996-1073
KAPETANAKİS THEODOROS N, VARDİAMBASİS IOANNİS, NİKOLOPOULOS CHRİSTOS, KONSTANTARAS ANTONİOS, TRANG TRİNH, KHUONG DUY, TSUBOTA TOSHİKİ, KEYİKOĞLU RAMAZAN, KHATAEE ALI REZA, KALDERİS DİMİTRİOS
Ramazan Keyikoğlu Özgün Makale
Comparison of Small-Sized Deep Neural Network Models for Hyperspectral Image Classification
Lecture Notes in Networks and Systems, Vol. 643, Ocak 2023, s. 244-256, ISSN: 2367-3389
KARAN EKREM TARIK, DOKUR ZÜMRAY, ÖLMEZ TAMER
Zümray Ölmez Özgün Makale
Designing point cloud-based datasets of processed stone surfaces for bridging knowledge through robotics and neural networks
28th Conference on Cultural Heritage and New Technologies, Viyana/AVUSTURYA, 15 Kasım 2023
HAMZAOĞLU BEGÜM,BRAUMANN JOHANNES
Begüm Hamzaoğlu Özet Bildiri
Overview of evolutionary algorithms and neural networks for modern mobile communication
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, Vol. 33, No. 9, Eylül 2022, s. 1-43, ISSN: 2161-3915
KOUHALVANDİ LİDA, ÖZOĞUZ İSMAİL SERDAR, SHAYEA IBRAHEEM ABDULLAH MOHAMMED, HAFİZAL MOHAMAD
Battery health aware energy management strategy for hybrid electric vehicle using artificial neural networks
Tuijin Jishu/Journal of Propulsion Technology, Ocak 2024, ISSN: 1001-4055
ÖZKAN ANILCAN,LIN XIANKE,ŞEN OSMAN TAHA,KURŞUN SENEM
Osman Taha Şen Özgün Makale
Determination of the Representative Time Horizons for Short-term Wind Power Prediction by Using Artificial Neural Networks
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 36, No. 16, Haziran 2014, s. 1800-1809, ISSN: 1556-7036
İZGİ ERCAN,ÖZTOPAL AHMET,YERLİ BİHTER,KAYMAK MUSTAFA KEMAL,ŞAHİN AHMET DURAN
Ahmet Duran Şahin Özgün Makale
Detecting visual design principles in art and architecture through deep convolutional neural networks
Automation in Construction, Vol. 130, Ekim 2021, ISSN: 0926-5805
DEMİR GÖZDENUR,KANAN ASLI,YEŞİLKAYNAK VAHİT BUĞRA,ÜNAL GÖZDE
Aslı Kanan Özgün Makale
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Vilnius/LİTVANYA, 9 Eylül 2024
BAŞ SÜMEYYE,KAYA ÜNAL KIYMET,TUGAY RESUL,ÖĞÜDÜCÜ ŞULE
Kıymet Kaya Ünal Tam metin bildiri
Hydrochars as Emerging Biofuels: Recent Advances and Application of Artificial Neural Networks for the Prediction of Heating Values
Energies, Vol. 13, No. 17, Eylül 2020, s. 4572, ISSN: 1996-1073
VARDİAMBASİS IOANNİS O,KAPETANAKİS THEODOROS N,NİKOLOPOULOS CHRİSTOS D,TRANG TRİNH KİEU,TOSHİKİ TSUBOTA,KEYİKOĞLU RAMAZAN,KHATAEE ALI REZA,KALDERİS DİMİTRİOS
Alıreza Khataee Derleme Makale
DETECTION AND CLASSIFICATION OF FABRIC DEFECTS WITH AN INNOVATIVE MODEL AND PERSPECTIVE
International conference Textile Science and Economy, Zrenjanin/SIRBİSTAN, 25 Ekim 2024, s. 149-155
BİRSEN SİNEM,SARIÇAM CANAN

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