A Hybrid Discrete Bacterial Memetic Algorithm with Simulated Annealing for Optimization of the Flow Shop Scheduling Problem. - Anita Agárdi; Károly Nehéz; Olivér Hornyák; László T. Kóczy (Symmetry, 2021)

A Hybrid Discrete Memetic Algorithm for Solving Flow-Shop Scheduling Problems. - Levente Fazekas; Boldizsár Tüü-Szabó; László T. Kóczy; Olivér Hornyák; Károly Nehéz (Algorithms, 2023)

A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method. - Nasraldeen Alnor Adam Khleel; Károly Nehéz (J. Intell. Inf. Syst., 2023)

Intelligent SLA Selection Through the Validation Cloud Broker System. - Ihab Sekh; Károly Nehéz (IEEE Access, 2024)

Software defect prediction using a bidirectional LSTM network combined with oversampling techniques. - Nasraldeen Alnor Adam Khleel; Károly Nehéz (Clust. Comput., 2024)

Improving accuracy of code smells detection using machine learning with data balancing techniques. - Nasraldeen Alnor Adam Khleel; Károly Nehéz (J. Supercomput., 2024)

Enhancing Decision-making in Uncertain Domains through Optimized Fuzzy Logic Systems. - Ihab Razzaq Sekhi; Szilveszter Kovács; Károly Nehéz (Period. Polytech. Electr. Eng. Comput. Sci., 2025)

Ensemble-Based Machine Learning Algorithms Combined with Near Miss Method for Software Bug Prediction. - Nasraldeen Alnor Adam Khleel; Károly Nehéz; Montaser Fadulalla; Ahmed Hisaen (Int. J. Networked Distributed Comput., 2025)

Reliable and Cost-Effective Fuzzy-Based Cloud Broker. - Ihab Razzaq Sekhi; Hadeel Abdah; Károly Nehéz (Int. J. Networked Distributed Comput., 2025)