“Short-Term Load Forecasting Using Machine Learning
Algorithms: A Case Study in Turkey
IEEE Global Energy Conference (GEC2022), Batman/TÜRKİYE, Vol. 1, No. 1, 26 Ekim 2022, s. 13-18
NOBARİ ALİ, PÜRLÜ MİKAİL, ANDİÇ CENK, TÜRKAY BELGİN, NOBARİ ALİ
|
Classification of Photogrammetric and Airborne LiDAR Point
Clouds Using Machine Learning Algorithms
Drones, Vol. 5, No. 104, Eylül 2021, s. 1-16, ISSN: ISSN 2504-446X
DURAN ZAİDE, OZCAN KUBRA, ATİK MUHAMMED ENES
|
MACHINE LEARNING
FOR PREDICTING DUAL-CATION HYBRID METAL HALIDE PEROVSKITES
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
FATEMEH JAMALINABIJAN
|
MACHINE LEARNING-BASED ENERGY CONSUMPTION FORECASTING
FOR STORES IN A SHOPPING CENTER - A CASE STUDY
Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2023
NADIA AHBAB
|
OVERCOMING PAYMENT BEHAVIOR CHALLENGES:
CLASSIFYING BUY NOW PAY LATER USERS WITH MACHINE LEARNING
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ÖMÜR ÖZDOĞAN
|
DIAGNOSIS OF BRAIN CANCER AND CONTOUR
NORMAL TISSUE FOR RADIATION THERAPY BASED ON DEEP LEARNING METHODS
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
NAVID HALILI
|
DISCOVERY OF LEAD-FREE DOUBLE HALIDE PEROVSKITES: A COMPUTATIONAL SCREENING STUDY
ENHANCED BY MACHINE LEARNING
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
MERVE KALPAR
|
WHO IS IN CONTROL? A QUALITATIVE INQUIRY INTO
EFL TEACHERS' PERCEPTIONS OF LOCUS OF
CONTROL AND ITS PREDICTORS
International Journal of Language Academy, Vol. 11, No. 3, Eylül 2023, s. 327-346, ISSN: 2342-0251
DELİVELİ AYNUR,BALÇIKANLI CEM
|
Patlatma Kaynaklı Yer Sarsıntısının ANFIS ve Destek Vektör Makineleri İle Tahmin Edilmesi /
Prediction of Blast-Induced Ground Vibrations by ANFIS and Support Vector Machines
10th International Drilling Blasting Symposium, Antalya/TÜRKİYE, 25 Kasım 2021, s. 141-148
AĞAN YAŞAR, HÜDAVERDİ TÜRKER, AKYILDIZ ÖZGE
|
LEARNING FROM SHADOWS: RECLAIMING THE FIRST-
YEAR DESIGN STUDIO ON THE SURFACES OF THE
PARENTAL HOME
Online Education: Teaching In a Time of Change AMPS: PARADE, Vol. 23, No. 2, 21 Nisan 2021, s. 55-65, ISSN: ISSN 2398-9467
ALMAÇ BİHTER, ESER BEGÜM
|
MODELING VOLATILITY DYNAMICS IN FINANCIAL TIME SERIES: AN
ANALYSIS OF ECONOMETRIC MODELS AND MACHINE LEARNING
METHODS
Fen Bilimleri Enstitüsü, Boğaziçi Üniversitesi, 2023
HAKAN ERCE
|
ENHANCING RADAR TARGET DETECTION
THROUGH SEMANTIC SEGMENTATION
WITH ADVANCED DEEP LEARNING TECHNIQUES
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2024
NİSANUR BAKIR KOCA
|
INVESTIGATION OF
MICROSTRUCTURE MOVEMENT UNDER
FLOW BY USING IMAGE PROCESSING AND DEEP LEARNING
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2023
SAEED SARBAZZADEH KHOSROSHAHI
|
İTÜ EELISA Research-Based Learning Symposium I Konseri
İTÜ SDKM, 17 Mayıs 2022
KANDEMİR BASMACIOĞLU, PİYANO
LAÇİN MODİRİ, ŞAN
İBRAHİM ORAZOV, KEMAN
|