Assessing End-Of-Supply Risk of Spare Parts Using the Proportional Hazard Model. - Xishu Li; Rommert Dekker; Christiaan Heij; Mustafa Hekimoglu (Decis. Sci., 2016)

Markov-modulated analysis of a spare parts system with random lead times and disruption risks. - Mustafa Hekimoglu; Erwin A. van der Laan; Rommert Dekker (Eur. J. Oper. Res., 2018)

Blockchain Technology In Loyalty Program Applications. - Hayreddin Ilker Bozkurt; Setenay Gemici; Ahmet D. Yucekaya; Mustafa Hekimoglu (ICBICC, 2022)

Stockout risk estimation and expediting for repairable spare parts. - Mustafa Hekimoglu; A. Gürhan Kök; Mustafa Sahin (Comput. Oper. Res., 2022)

Maintenance optimization for a single wind turbine component under time-varying costs. - Thijs Nicolaas Schouten; Rommert Dekker; Mustafa Hekimoglu; Ayse Sena Eruguz (Eur. J. Oper. Res., 2022)

Markdown Optimization with Generalized Weighted Least Squares Estimation. - Mustafa Hekimoglu (Int. J. Comput. Intell. Syst., 2022)

Dual sourcing models with stock-out dependent substitution. - Mustafa Hekimoglu; Alan Scheller-Wolf (Eur. J. Oper. Res., 2023)

Residual LSTM neural network for time dependent consecutive pitch string recognition from spectrograms: a study on Turkish classical music makams. - Fuat Kaan Mirza; Ahmet Fazil Gürsoy; Tunçer Baykas; Mustafa Hekimoglu; Önder Pekcan (Multim. Tools Appl., 2024)

Tri-Axial Vibro-Dynamic Stone Classification Dataset (TVDSC). - Usame Oz; Fuat Kaan Mirza; Mustafa Hekimoglu; Feridun Boylu; Yusuf Enes Pural (IEEE DataPort, 2024)

Decoding rhythmic complexity: A nonlinear dynamics approach via visibility graphs for classifying asymmetrical rhythmic frameworks of Turkish classical music. - Fuat Kaan Mirza; Tunçer Baykas; Mustafa Hekimoglu; Önder Pekcan; Gönül Paçaci Tunçay (Appl. Math. Comput., 2025)

Stock price forecasting through symbolic dynamics and state transition graphs with a convolutional recurrent neural network architecture. - Fuat Kaan Mirza; Önder Pekcan; Mustafa Hekimoglu; Tunçer Baykas (Neural Comput. Appl., 2025)