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Best Paper Award 'Machine Learning for Communications and Networking''
IEEE International Conference on Communications, 2024
Algorithmic Trading with Machine Learning
Mathematical Sciences, Xi'an Jiaotong University, 2019
JUAN DU
Ahmet Göncü Tez Doktora Tamamlandı
Measurement and Analysis of In Vivo Microwave Dielectric Properties Collected From Normal, Benign, and Malignant Rat Breast Tissues: Classification Using Supervised Machine Learning Algorithms
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, Vol. 73, 2024, s. 11, ISSN: 0018-9456
PASTACI ÖZSOBACI NURAL,ÖNEMLİ EMRE,AYDINALP CEMANUR,YILMAZ ABDOLSAHEB TUBA
Tuba Yılmaz Abdolsaheb Özgün Makale Cancer Rats Dielectrics In vivo Microwave measurement Permittivity measurement Pathology Animal experiments breast cancer dielectric spectroscopy in vivo dielectric properties (DPs) machine learning (ML) microwave diagnostics rat breast models supervised learning
AirWave: Enhancing UAV Connectivity in Cellular Networks through an Integrated Simulation Framework
2024 IEEE International Conference on Big Data & Machine Learning (ICBDML), Bhopal/HİNDİSTAN, 24 Şubat 2024, s. 295-302
ZOR EMİRHAN,TASKİRAN YUSUF,DAEL FARES ABDULHAFIDH DERHEM,SHAYEA IBRAHEEM ABDULLAH MOHAMMED,RZAYEVA LEİLA,SYZDYKOVA ZULEİKHA
Ibraheem Abdullah Mohammed Shayea Tam metin bildiri UAV communications 5G and beyond Handover management Reinforcement learning machine learning
Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions
Institute of Electrical and Electronics Engineers (IEEE), Vol. 10, Ocak 2022, s. 19, ISSN: 2169-3536
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Özgün Makale Optimization 5G mobile communication Heuristic algorithms Handover Robustness Cellular networks Q-learning Machine learning Heterogeneous networks handover self-optimization mobility robustness optimization handover margin time-to-trigger heterogeneous networks 5G network
Applications for Advanced Machine Learning Methods for Copper Price Forecasting
Global Joint Conference on Industrial Engineering and Its Application Areas, İSTANBUL/TÜRKİYE, 8 Ağustos 2025
ARI EMRE,GÜRCAN ÖMER FARUK,BEYCA ÖMER FARUK,ÜSTÜNDAĞ ALP
Emre Arı Tam metin bildiri Ensemble Learning Copper Prices Machine Learning
Integration of drone and machine learning technology for predicting power infrastructure faults efficiently
Results in Engineering, Vol. 24, Aralık 2024, ISSN: 2590-1230
AL-SHABANI WALEED,SHAYEA IBRAHEEM,ÇAĞLAR RAMAZAN,BABAQI TAREQ
Ramazan Çağlar Özgün Makale Fault prediction Autonomous vision-based system Mathematical modeling Machine Learning Deep Learning and UAVs
Music Genre Classification and Recommendation by Using Machine Learning Techniques
2018 Innovations in Intelligent Systems and Applications Conference (ASYU), Adana/TÜRKİYE, 4 Ekim 2018
ELBİR AHMET,ÇAM HİLMİ BİLAL,İYİCAN MEHMET EMRE,ÖZTÜRK BERKAY,AYDIN NİZAMETTİN
Nizamettin Aydın Tam metin bildiri Music genre ClassificationMachine LearningDeep LearningAcoustic features
Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, Ocak 2024, ISSN: 1939-1404
ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER
Zaide Duran Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud
A framework proposal for machine learning-driven agent-based models through a case study analysis
SIMULATION MODELLING PRACTICE AND THEORY, Vol. 123, Ocak 2023, s. 20, ISSN: 1569-190X
TURGUT YAKUP, BOZDAĞ CAFER ERHAN
Cafer Erhan Bozdağ Özgün Makale Agent-based modeling Machine learning Supervised learning
Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol. 17, Şubat 2024, s. 13, ISSN: 1939-1404
ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER
Muhammed Enes Atik Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud
Evolved model for early fault detection and health tracking in marine diesel engine by means of machine learning techniques
Pomorstvo, Vol. 36, No. 1, Ağustos 2022, s. 95-104, ISSN: 1332-0718
ŞAHİN TOLGA, İMRAK CEVAT ERDEM, ÇAKIR MUAMMER ALTAN, CANDAŞ ADEM
Adem Candaş Özgün Makale Machine learningMulticlass classificationMarine diesel engineFault detectionDECISION-SUPPORT-SYSTEMCLASSIFICATION
A MACHINE LEARNING FRAMEWORK FOR AUTOMATED GROUND MOTION PREDICTION
1st Croatian Conference on Earthquake Engineering, Zagreb/HIRVATİSTAN, 22 Mart 2021
HEJAZI MOHELDEEN, TİNBİR SERRA, KHALİFANİ POOYA GHAFFARİ, SARI ALİ
Ali Sarı Tam metin bildiri machine learning
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Mustafa Ersel Kamaşak Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine
Prediction of flyrock distances using XGBoost machine learning method
13th WORLD CONFERENCE ON EXPLOSIVES AND BLASTING, Krakow/POLONYA, 20 Eylül 2025, s. 315-324
AĞAN YAŞAR,HÜDAVERDİ TÜRKER
Yaşar Ağan Tam metin bildiri Blasting Machine LearningFlyrock
Machine learning assisted estimation of total solids content of drilling fluids
ARTIFICIAL INTELLIGENCE IN GEOSCIENCES, Vol. 6, No. 2, Ocak 2025, s. 18, ISSN: 26665441
GÜNEL BERAT TUĞBERK,PAK YASEMİN DEFNE,HEREKELİ AHMET ÖZGÜN,GÜL SERCAN,KULGA İHSAN BURAK,ARTUN FAZIL EMRE
İhsan Burak Kulga Özgün Makale Drilling fluids Total solids content Machine learning
INCREASING THE EFFICIENCY OF EMG SIGNALS BY USING MACHINE LEARNING ALGORITHMS
10th International Conference on Image Processing, Wavelet and Applications (IWW2019), Kocaeli/TÜRKİYE, 18 Ekim 2019
PARLAK EMRE,ÖZER ÇAĞDAŞ,TAKAOĞLU MUSTAFA
Emre Parlak Özet Bildiri EMG SignalsMachine Learning AlgorithmsSignal ProcessingSignal EfficiencyMYO Armband
Machine learning-based predictive models for equivalent damping ratio of RC shear walls
BULLETIN OF EARTHQUAKE ENGINEERING, Vol. 21, No. 1, Ocak 2023, ISSN: 1570-761X
SÜTCÜ FATİH,TAŞKIN KAYA GÜLŞEN,DEĞER ZEYNEP
Fatih Sütcü Özgün Makale Machine learning Reinforced concrete shear walls Equivalent damping ratio Gaussian process regression
Developing a Machine Learning Model to Predict Silicate Impurity in Iron Ore Flotation Concentrate
IMPS 2022 - 17th International Mineral Processing Symposium, İstanbul/TÜRKİYE, 15 Aralık 2022, s. 991-1000
PURAL YUSUF ENES
Yusuf Enes Pural Tam metin bildiri FlotationGrade EstimationMachine LearningRandom ForestMulti-Layer Perceptron
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, Temmuz 2020, ISSN: 1361-9209
UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN
Çağlar Karatuğ Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSDRIVENRIDGE

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