Arpad Gellert, Adrian Florea, Ugo Fiore, Paolo Zanetti, Lucian Vintan, Performance and Energy Optimisation in CPUs through Fuzzy Knowledge Representation, Information Sciences, Elsevier, Vol. 476, ISSN 0020-0255 (WoS IF=5.910, Scopus, DBLP, EBSCO), DOI 10.1016/j.ins.2018.03.029, pp. 375-391, February 2019.

Arpad Gellert, Remus Brad, Image Inpainting with Markov Chains, Signal, Image and Video Processing, Vol. 14, Issue 7, ISSN 1863-1703 (WoS IF=1.794, Scopus, DBLP), DOI 10.1007/s11760-020-01675-7, pp. 1335-1343, October 2020.

Arpad Gellert, Web Usage Mining by Neural Hybrid Prediction with Markov Chain Components, Journal of Web Engineering, River Publishers, Vol. 20, Issue 5, ISSN 1540-9589 (WoS IF=0.617, DBLP), pp. 1279-1296, Denmark, July 2021.

Arpad Gellert, Ugo Fiore, Adrian Florea, Radu Chis, Francesco Palmieri, Forecasting Electricity Consumption and Production in Smart Homes through Statistical Methods, Sustainable Cities and Society, Vol. 76, ISSN 2210-6707 (WoS IF=7.587, Scopus), DOI 10.1016/j.scs.2021.103426, p. 103426, January 2022.

Arpad Gellert, Darius Sarbu, Stefan-Alexandru Precup, Alexandru Matei, Dragos Circa, Constantin-Bala Zamfirescu, Estimation of Missing LiDAR Data for Accurate AGV Localization, IEEE Access, Vol. 10, ISSN 2169-3536 (WoS IF=3.367, DBLP, Scopus), DOI 10.1109/ACCESS.2022.3185763, pp. 68416-68428, June 2022.

Stefan-Alexandru Precup, Alexandru Matei, Snehal Walunj, Arpad Gellert, Christiane Plociennik, Constantin-Bala Zamfirescu, Collaborative exploitation of various AI methods in adaptive assembly assistance systems, Procedia Computer Science, Elsevier, Vol. 221, ISSN 1877-0509 (indexed Scopus), pp. 1170-1177, August 2023.

Arpad Gellert, Lorena-Maria Olaru, Adrian Florea, Ileana-Ioana Cofaru, Ugo Fiore, Francesco Palmieri, Estimating electricity consumption at city-level through advanced machine learning methods, Connection Science, Vol. 36, No. 1, ISSN 0954-0091 (WoS IF=5.3, Scopus, DBLP), DOI 10.1080/09540091.2024.2313852, p. 2313852, January 2024.

Claudiu Buduleci, Arpad Gellert, Adrian Florea, Remus Brad, Architectural and Technological Approaches for Efficient Energy Management in Multicore Processors, Computers, Vol. 13, Issue 4, ISSN 2073-431X (WoS IF=2.8, Scopus, DBLP), DOI 10.3390/computers13040084, p. 84, March 2024.

Darius Peteleaza, Alexandru Matei, Radu Sorostinean, Arpad Gellert, Ugo Fiore, Bala-Constantin Zamfirescu, Francesco Palmieri, Electricity consumption forecasting for sustainable smart cities using machine learning methods, Internet of Things, Vol. 27, ISSN 2543-1536 (WoS IF=6.0, Scopus, DBLP), DOI 10.1016/j.iot.2024.101322, p. 101322, October 2024.

tefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu, Accurate Time-to-Target Forecasting for Autonomous Mobile Robots, IEEE Access, Vol. 13, ISSN 2169-3536 (WoS IF=3.6, DBLP, Scopus), DOI 10.1109/ACCESS.2025.3588300, pp. 125645-125658, July 2025.

Stefan-Alexandru Precup, Bogdan-Constantin Pirvu, Arpad Gellert, Constantin-Bala Zamfirescu, Cognitive Control Units in Smart Manufacturing: Insights From a Soar-Based Assistance System, IEEE Access, Vol. 13, ISSN 2169-3536 (WoS IF=3.6, DBLP, Scopus), DOI 10.1109/ACCESS.2025.3633609, pp. 196167-196180, November 2025.

Radu Sorostinean, Catalina Neghina, Arpad Gellert, Boosting anomaly detection with unsupervised K-Means and SOM for energy-efficient factory machines, Journal of Intelligent Manufacturing, ISSN 0956-5515 (WoS IF=7.4, Scopus), DOI 10.1007/s10845-025-02754-7, December 2025.

Darius Peteleaza, Alexandru Matei, Radu Sorostinean, Arpad Gellert, Bala-Constantin Zamfirescu, Ugo Fiore, Francesco Palmieri, Water level forecasting for hydroelectric power plants using deep learning, Renewable Energy, Vol. 256, Part I, ISSN 0960-1481 (WoS IF=9.1, Scopus), DOI 10.1016/j.renene.2025.124692, p. 124692, January 2026.