A. Amiri, M. Tavana, and H. Arman, “An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction,”10.1016/j.iot.2023.101027__Internet of Things, vol. 25, Art. no. 101027, 2024, doi:10.1016/j.iot.2023.101027 .

E. Mahmoodi, M. Fathi, M. Tavana, M. Ghobakhloo, and A. H. C. Ng, “Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing,”10.1016/j.jmsy.2023.11.019__Journal of Manufacturing Systems, vol. 72, pp. 287–307, 2024, doi:10.1016/j.jmsy.2023.11.019 .

M. Tavana and S. Sorooshian, “A systematic review of the soft computing methods shaping the future of the metaverse,”10.1016/j.asoc.2023.111098__Applied Soft Computing, vol. 150, Art. no. 111098, 2024, doi:10.1016/j.asoc.2023.111098 .

M. Maack, “Online load balancing on uniform machines with limited migration,”10.1016/j.orl.2023.02.013__Operations Research Letters, vol. 51, no. 3, pp. 220–225, 2023, doi:10.1016/j.orl.2023.02.013 .

I. Gräßler, D. Wiechel, A.-S. Koch, T. Sturm, and T. Markfelder, “Methodology for Certification-Compliant Effect-Chain Modeling,”10.3390/systems11030154__Systems, vol. 11, no. 3, Art. no. 154, 2023, doi:10.3390/systems11030154 .

R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics,”10.1177/10943420231177631__The International Journal of High Performance Computing Applications, Art. no. 109434202311776, 2023, doi:10.1177/10943420231177631 .

D. Wilke, R. Grothe, L. Bretz, H. Anacker, and R. Dumitrescu, “Lessons Learned from the Introduction of Systems Engineering,”10.3390/systems11030119__Systems, vol. 11, no. 3, Art. no. 119, 2023, doi:10.3390/systems11030119 .

F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,”10.1007/s10994-023-06385-y__Machine Learning, 2023, doi:10.1007/s10994-023-06385-y .

T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks,” presented at the 57th Asilomar Conference on Signals, Systems, and Computers, 2023.

A. Torres et al., “Runtime Verification of Crypto APIs: An Empirical Study,”10.1109/tse.2023.3301660__IEEE Transactions on Software Engineering, vol. 49, no. 10, pp. 4510–4525, 2023, doi:10.1109/tse.2023.3301660 .

G. Piskachev, M. Becker, and E. Bodden, “Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study,”10.1007/s10664-023-10354-3__Empirical Software Engineering, vol. 28, no. 5, Art. no. 118, 2023, doi:10.1007/s10664-023-10354-3 .

D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii International Conference on System Sciences, 2023.

U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs,”10.1007/978-3-031-47240-4_25__in The Semantic Web – ISWC 2023, Athens, Greece, 2023, vol. 14265, pp. 465–483, doi:10.1007/978-3-031-47240-4_25 .

C. Bartelheimer, V. Wolf, and D. Beverungen, “Workarounds as generative mechanisms for bottomup process innovation—Insights from a multiple case study,”10.1111/isj.12435__Information Systems Journal, vol. 33, no. 5, pp. 1085–1150, 2023, doi:10.1111/isj.12435 .

F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,”10.1007/s10994-023-06385-y__Machine Learning, vol. 112, no. 12, pp. 4863–4903, 2023, doi:10.1007/s10994-023-06385-y .

M. Nachtigall, M. Schlichtig, and E. Bodden, “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale,” in Software Engineering 2023, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 95–96.

S. Sadeghi-Kohan, S. Hellebrand, and H.-J. Wunderlich, “Workload-Aware Periodic Interconnect BIST,”10.1109/mdat.2023.3298849__IEEE Design &;Test, pp. 1–1, 2023, doi:10.1109/mdat.2023.3298849 .

M. Tavana, A. Khalili Nasr, A. B. Ahmadabadi, A. S. Amiri, and H. Mina, “An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks,”10.1016/j.iot.2023.100786__Internet of Things, vol. 22, Art. no. 100786, 2023, doi:10.1016/j.iot.2023.100786 .

M. Tavana, M. S. Heidary, and H. Mina, “A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA,”10.1016/j.asoc.2023.110572__Applied Soft Computing, vol. 145, Art. no. 110572, 2023, doi:10.1016/j.asoc.2023.110572 .

H. A. Mahdiraji, M. Tavana, and A. Rezayar, “A Game-Theoretic Framework for Analyzing the Impact of Social Responsibility and Supply Chain Profitability,”10.1080/01969722.2022.2055402__Cybernetics and Systems, vol. 54, no. 1, pp. 104–137, 2023, doi:10.1080/01969722.2022.2055402 .