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Computational science - ICCS 2026 workshops 26th International Conference, ICCS 2026, Hamburg, Germany, June 29-July 1, 2026 proceedings Part III Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang, editor
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- ICCS (International Conference on Computer Science) (26th : 2026 : Hamburg, Germany)
- Series:
- Lecture notes in computer science ; 16788.
- Lecture notes in computer science 1611-3349 16788
- Language:
- English
- Subjects (All):
- Computer science.
- Computational complexity.
- Genre:
- proceedings (reports)
- Conference papers and proceedings
- Conference papers and proceedings.
- Physical Description:
- 1 online resource
- Place of Publication:
- Cham, Switzerland Springer [2026]
- Contents:
- A scalable numerical framework for predicting particle transport in bifurcating vascular networks / Md Zaheen Tamzeed Kabir and Jon McCullough
- Adaptive resolution scheme for non-additive molecular three-body potentials / Jose Alfonso Pinzon Escobar and Philipp Neumann
- From formal specifications to executable simulations : a computation-driven metasystem for agent-based modeling / Francisco Mesas, Manel Taboada, Francisco Epelde, Eduardo Cabrera, Alvaro Wong, and Dolores Rexachs
- Transport network topology as a determinant of forced displacement dynamics : case study of rail-based evacuation from Ukraine / Ivana Malcic, Derek Groen, Valeria Krzhizhanovskaya, and Diana Suleimenova
- Satellite-based conflict damage detection : siamese CNNs for forced displacement planning in Ukraine / Taulant Matarova and Diana Suleimenova
- A reproducible multiscale workflow for socioecological indicator calculation in European agriculture / Alan Bernardo Palacio, Antonio Espinosa, and Joan Marull
- Cross-validation-based hierarchical decision tree framework for dispersed data classification / Benjamin Agyare Addo and Malgorzata Przybyla-Kasperek
- Feature extractor comparison for distribution matching framework in dataset distillation / Muyang Li, Zeheng He, Yi Qu, and Yong Shi
- Composite reward design in PPO-driven adaptive filtering / A. Burkan Bereketoglu
- Mechanistic interpretability tool for AI weather models / Kirsten I. Tempest, Matthias Beylich, and George C. Craig
- Adjoint-based optimization with quantized local reduced-order models for spatiotemporally chaotic systems / Defne Ege Ozan, Antonio Colanera, and Luca Magri
- Particle filter data assimilation for reconstructing latent hospital care pathways under partial observability / Laith Ahmad and Sergey V. Kovalchuk
- Comparative study of linear attention architectures for geopotential height forecasting / Varuni Sastry and Vishwas Rao
- Data assimilation with surrogate measurement equations / Marco Arzeo, Stefano Chessa, Fabio Marcuzzi, Pietro Paglierani, and Joao Alves
- Latent attention on masked patches for flow reconstruction / Ben Eze, Luca Magri, and Andrea Nóvoa
- Attribute importance in conflict models : using clustering metrics and bi-coalitions for issue evaluation / Malgorzata Przybyla-Kasperek and Rafal Deja
- Designing form-based interaction in virtual reality : a multidimensional usability evaluation using eye-tracking and MCDA / Agnieszka Olejnik-Krugly, Kamil Bortko, and Krzysztof Warpachowicz
- Simulating decision-makers’ behaviour in risk management problems using prospect theory / Jakub Wieckowski and Mariusz Soltysik
- When decisions are blocked : inhibitory rules induced from tree ensembles / Beata Zielosko, Anton Dmytrenko, Azimkhon Ostonov, and Mikhail Moshkov
- An ensemble CNN transfer learning model for wheat grain classification / Malgorzata Charytanowicz, Urszula Kuzelewska, and Rafal Stegierski
- Boredom-decay multi-armed bandits as a sequential multi-criteria decision-making framework / Kamil Bortko, Kacper Fornalczyk, and Jaroslaw Jankowski
- Strategic performance monitoring in higher education : an analytic hierarchy process approach / Lukasz Wiechetek, Marek Medrek, and Zbigniew Pastuszak
- Computing wasserstein distances between asymmetric interval numbers / Andrii Shekhovtsov and Wojciech Salabun
- On effectiveness of rule classifiers under transformations of input domain / Urszula Stanczyk and Grzegorz Baron
- Optimization of inhibitory rules / Azimkhon Ostonov, Beata Zielosko, Kamil Jablonski, Kamil Magiera, and Mikhail Moshkov
- Greedy algorithm for modeling approximate decision trees for distributed decision tables / Azimkhon Ostonov, Mikhail Moshkov, and Beata Zielosko
- Exponentiation operators for asymmetric interval numbers and their properties / Andrii Shekhovtsov, Adrianna Swider, Szymon Sniegowski, and Wojciech Salabun
- A multi-scale analysis of learning dynamics in data-driven MCDA : evidence from the INCOME method / Bartlomiej Kizielewicz
- Does the evaluation horizon matter? a temporal extension of SPOTIS for normalization-bound sensitivity analysis / Bartlomiej Kizielewicz and Jaroslaw Watróbski
- A time-aware TOPSIS method for longitudinal performance assessment / Artur Karczmarczyk, Jaroslaw Watróbski, Aleksandra Baczkiewicz, and Aleksandra Karczmarczyk
- Assessing the impact of criterion significance on ranking stability - offshore wind farm case study / Aleksandra Baczkiewicz, Jaroslaw Watróbski, Artur Karczmarczyk, and Wojciech Drozdz
- Navigating uncertainty : a framework for benchmarking decision quality in fuzzy petri nets / Zbigniew Suraj and Piotr Grochowalski
- Handling class imbalance in coalition-based distributed classification with decision rule induction / Katarzyna Kusztal and Malgorzata Przybyla-Kasperek
- Time series forecasting with irregular intervals in applied behavior analysis / Joanna Kolodziejczyk and Sebastian Limanowski
- Does better weight estimation mean better decisions? a monte carlo assessment of RANCOM-ST / Anna Shkurina
- From exhaustive robustness to local sensitivity : an extension of the EORS framework / Bartosz Paradowski
- Recommendation system for education : an approach to suggesting learning sequences / João Paulo Silva, Rodrigo Aleixo, Thiago Sernaglia, Marcos de Almeida, Rubens Massa, Everton Silva, and Douglas Castilho
- Deterministic execution frameworks for hybrid symbolic–probabilistic computational pipelines / Santhosh Guntupalli
- Beyond black-box agents : explainable and validatable generative ABMs / Xuening Tang and Petter Törnberg
- Residual reinforcement learning for robotic assembly of large-scale aerospace components / Xiaoyou Duan, Guijun Ma, Weibo Liu, Kaiqi Fang, and Yuzhe Wang
- YOLO26-SimAM : an energy-based attention augmented detector for aero-engine surface defect inspection / Xiao Wang, Linhao Liu, Yidi Song, Xiaotong He, Kai Chen, and Nianyin Zeng
- Trustworthy data foundations for AI-driven analytics in distributed IoT : a validation-first methodology / Maziar Ghorbani, Diana Suleimenova, Laura Harbach, Pramit Mazumdar, Niruban Paramanathan, Ricardo Severino, Özer Aydemir, and Derek Groen
- Reversible data hiding in encrypted images using kernel-based prediction and delta-huffman coding / Remigiusz Martyniak, Mariusz Dzwonkowski, and Tom Dhaene
- GPU-accelerated number theoretic transform-based privacy amplification for quantum key distribution / Chenyu Wang, Kazuaki Doi, and Yutaro Ishigaki
- GPU accelerated hough transform for line detection / Damian Gradziuk, Beata Bylina, and Przemyslaw Stpiczynski
- Efficient integer-only implementation of tanh and sigmoid for embedded AI on RISC-V / Kamil Kaczmarski, Pawel Gepner, Ewa Deelman, Pawel Poczekajlo, Leonid Moroz, and Nataliia Gavkalova
- A parallel and vectorized implementation of the McCaskill algorithm for X86-64 and RISC-V architectures / Marek Palkowski, Sergio Iserte, Tomasz Olas, Mateusz Gruzewski, and Roman Wyrzykowski
- QFredDet — software library for computing entropy of continuous variable quantum systems using fredholm determinants / Marek Sawerwain and Joanna Wisniewska
- Mixed precision quantum machine learning on photonic quantum and hybrid quantum-HPC systems / Mateusz Slysz, Krzysztof Kurowski, and Grzegorz Waligóra
- Notes:
- Includes bibliographical references and index
- Online resource; title from PDF title page (Springer Nature Link, viewed July 2, 2026)
- Other Format:
- Print version ICCS (International Conference on Computer Science) (26th : 2026 : Hamburg, Germany) Computational science - ICCS 2026 workshops
- ISBN:
- 9783032299154
- 3032299152
- OCLC:
- 1601172062
- Access Restriction:
- Restricted for use by site license
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