FedCSIS conference series is organized by IEEE PS C-16 (Computer Society) Chapter and other IEEE units; publication: IEEE DL, indexed: Scopus (all publications)
Depth-assisted single-person pose estimation pipelines in three consumer RGB-D cameras: “A Lightweight #Optimization Approach to the Single-Person #PoseEstimation Pipeline in RGB-D Cameras” by V. Abromavičius, R. Maskeliūnas. ACSIS Vol. 43 p. 287–290; tinyurl.com/np3p65dr
Container tracking, damage detection during crane unloading operations at container terminals: “Real-time #ContainerTracking and #DamageDetection at Seaports Using #DeepLearning” by S. Vasileiadis, S. Aslam, K. Orphanides, et al. ACSIS Vol. 43 p. 265–276; tinyurl.com/3arrsj5j
A comprehensive empirical evaluation of four classical #LSTM-based NMT models: “A Comparative Study of LSTM Efficiency vs. #Transformer Power for Localized #TimeSeriesForecasting” by T. Sarkar, H. Chu. ACSIS Vol. 43, p. 265–276; tinyurl.com/54dzjva
APC prices - ACM conferences (cheaper)
If the corresponding author is affiliated with an institution in a lower-middle-income country (as defined by the World Bank), the APC is $200 per paper.
For all other papers (...), the APC is $400 per paper.
NO COMMENT -> just fact of life
Evaluating the quality of #superresolvedimages: “Keypoint-based metric for evaluating image super-resolution #quality” by J. Sadel, T. Tarasiewicz, P. Kowaleczko, M. Ziaja, D. Kostrzewa, P. Benecki, M. Kawulok. ACSIS Vol. 43 p. 255–263; tinyurl.com/y6e4fd26
Creating #software without writing code and with little #programmingknowledge: “Addressing Skills Shortages through Low-Code/No-Code: Skill Profiles and Implementation Challenges” by P. Rozbitski, C. Leyh, Ching-Ho Ip ACSIS Vol. 43 p. 243–253; tinyurl.com/23bahpxw
Method for structuring raw event logs by segmenting event streams and mapping them to known processes: “#Segmentation and #ProcessAssignment of Semi-Structured #EventLogs” by P. Przymus, K. Rykaczewski, J. Zieliński, Ł. Mikulski. ACSIS Vol. 43 p. 231–241; tinyurl.com/ycxas3hv
Synthesizing knowledge into #accountability indicators: “Simultaneous pursuit of accountability for #regulatorycompliance, financial benefits, and societal impacts in artificial intelligence (#AI) projects” by G. Miller. ACSIS Vol. 43 p. 207–217; tinyurl.com/2rmbze7j
Predicting #energyconsumption and starting jobs at different frequencies to stay below power limit: “#Slurm plugin for #HPC operation with time-dependent cluster-wide #powercapping” by A. Kammeyer, F. Burger, D. Lübbert, K. Wolter. ACSIS Vol. 43 p. 175–183;tinyurl.com/5cvkc9uw
Proposing a solution to match a scientific text to the most relevant #ontology using artificial #neuralnetworks: “Assigning scientific texts to existing ontologies” by Lukáš Korel, Martin Holeňa. ACSIS Vol. 43 p. 185–193; tinyurl.com/4z5c2zx3
“Estimating the #entropy of covering-based #roughsetapproximation operators” by Wannes De Maeyer, Steven Van Overberghe, Chris Cornelis, Mauricio Restrepo López. ACSIS Vol. 43; p. 195–205; tinyurl.com/4wpnrm67
Introducing the concept of a novel, agent-based framework that leverages #LLMs to enhance #OperationsResearch: “Toward Conversational Decision Support Systems: Integrating LLMs in the Operations Research Methodology” by M. Kaleta. ACSIS Vol. 43 p. 165–174; tinyurl.com/yc7dus38
Guiding developers during API migration: “Towards a #Framework for Systematic #API Migrations” by Nikolas Jíša, Robert Pergl. Main Track Regular Papers. ACSIS Vol. 43 p. 155–163; tinyurl.com/yajj9vf6
A concept for a hybrid mutation system based on #SoftwareDefinedNetworking, combining address and data path mutation to improve security: “Hybrid mutation #MTD solution with dedicated SDN agents” by M. Fronczyk, M. Rawski. ACSIS Vol. 43 p. 145–154; tinyurl.com/2tfkukh6
@FedCSIS 2026 Award winners!
🏅 Best Paper — Reinis Odītis et al.
🌟 Young Researcher — Rafał Lenart et al.
🤝 Industry Cooperation — Gloria Miller
🌍 International Cooperation — Poornima Basatti Hanumagowda et al.
More: 2026.fedcsis.org/for_authors…
Creating associative memories using incomplete data and projecting them into #ANNs to retrieve complete data from incomplete data: “A New Perspective of #AssociativeMemories for Partial Patterns” by S.C Dutta, J. Shin. ACSIS Vol. 43 p. 133–143; tinyurl.com/m2e2jefe