Analysis of task effort estimation accuracy based on use case point size. - Jovan Popovic; Dragan Bojic; Nenad Korolija (IET Softw., 2015)

Recycled IC Detection Based on Statistical Methods. - Ke Huang 001; Yu Liu; Nenad Korolija; John M. Carulli; Yiorgos Makris (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

An AppGallery for dataflow computing. - Nemanja Trifunovic; Veljko Milutinovic; Nenad Korolija; Georgi Gaydadjiev (J. Big Data, 2016)

Chapter Three - Dataflow-Based Parallelization of Control-Flow Algorithms. - Nenad Korolija; Jovan Popovic; Milos Cvetanovic; Miroslav Bojovic (Adv. Comput., 2017)

DataFlow Supercomputing Essentials - Research, Development and Education - Veljko Milutinovic; Jakob Salom; Dragan Veljovic; Nenad Korolija; Dejan Markovic; Luka Petrovic (Springer, 2017)

Chapter One - Teaching graduate students how to review research articles and respond to reviewer comments. - Milan Bankovic; Vladimir Filipovic; Jelena Graovac; Jelena Hadzi-Puric; Ali R. Hurson; Aleksandar Kartelj; Jovana J. Kovacevic; Nenad Korolija; Milos Kotlar; Nenad B. Krdzavac; Filip Maric; Sasa N. Malkov; et al. (Adv. Comput., 2020)

The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chips. - Veljko Milutinovic; Milos Kotlar; Ivan Ratkovic; Nenad Korolija; Miljan Djordjevic; Kristy Yoshimoto; Erik Klem; Mateo Valero (CoRR, 2020)

The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chip, for Scientific Computing, Geo Physics, Complex Mathematics, and Information Processing. - Veljko M. Milutinovic; Erfan Sadeqi Azer; Kristy Yoshimoto; Gerhard Klimeck; Miljan Djordjevic; Milos Kotlar; Miroslav Bojovic; Bozidar Miladinovic; Nenad Korolija; Stevan Stankovic; Nenad Filipovic; Zoran Babovic; et al. (MECO, 2021)

Chapter Five - A runtime job scheduling algorithm for cluster architectures with dataflow accelerators. - Nenad Korolija; Dragan Bojic; Ali R. Hurson; Veljko Milutinovic (Adv. Comput., 2022)

Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems. - Zoran Babovic; Branislav Bajat; Vladan Dokic; Filip Dordevic; Drazen Draskovic; Nenad Filipovic; Borko Furht; Nikola Gacic; Igor Ikodinovic; Marija Ilic; Ayhan Irfanoglu; Branislav Jelenkovic; et al. (J. Big Data, 2023)

Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains. - Zoran Babovic; Branislav Bajat; Dusan Barac; Vesna Bengin; Vladan Dokic; Filip Dordevic; Drazen Draskovic; Nenad Filipovic; Stephan French; Borko Furht; Marija Ilic; Ayhan Irfanoglu; et al. (J. Big Data, 2023)

Statistical Methods for Detecting Recycled Electronics: From ICs to PCBs and Beyond. - Ke Huang 001; Yu Liu; Nenad Korolija; John M. Carulli; Yiorgos Makris (IEEE Des. Test, 2024)

Fine grain algorithm parallelization on a hybrid control-flow and dataflow processor. - Nenad Korolija (J. Big Data, 2025)

Algorithm profiling for architectures with dataflow accelerators. - Nenad Korolija; Veljko Milutinovic; Borko Furht (J. Big Data, 2025)