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ORCID20th FedCSIS 2025: Kraków, Poland
- Marek Bolanowski, Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, Dominik Slezak:
Position Papers of the 20th Conference on Computer Science and Intelligence Systems, FedCSIS 2025, Kraków, Poland, September 14-17, 2025. Annals of Computer Science and Information Systems 44, 2025, ISBN 978-83-973291-8-8
Position Papers
- Lallouani Bouchakour
, Khaled Lounnas, Ahmed Krobba:
Enhancing Arabic ASR in Noisy and Transcoding EVS Conditions: A Multimodal Deep Learning Study. 1-8 - Matteo Ciaschi, Marco Barone:
Examining the Increasing Use of Artificial Intelligence in Education, A step Closer to Personalized Learning. 9-14 - Enza Curcio, Fabrizio Stasolla, Antonio Zullo, Mariacarla Di Gioia, Anna Passaro:
Enhancing Socio-Emotional Skills in Children with Autism through AI-Powered Serious Games: A Narrative Review. 15-21 - Marko Esche, Levin Ho, Martin Nischwitz, Sabine Glesner:
Practical security of evidence for regulated artificial intelligence modules. 23-30 - Henrique Pereira de Freitas Filho, Thiago Oliveira de Freitas, Johnny Evangelista Figueiredo:
SIG Denúncia - Web GIS of Popular Participation in the Public administration. 31-36 - Adam Górski, Maciej Ogorzalek:
Constructive genetic algorithm with penalty function for a concurrent real-time optimization in embedded system design process. 37-40 - Ameer Hamza, Robertas Damasevicius:
RAG⁴-Unet: An Approach for Recognition and Segmentation of Brain Tumor in MRI Scans. 41-48 - Umamah Bint Khalid, Mario Fiorino, Madiha Haider Syed, Musarat Abbas:
Evaluating Depression and Stress Among Young Adults Using DASS-21: Towards Personalized Intervention Strategies. 49-54 - Jan Krupinski, Kazimierz Kielkowicz:
Detecting Spatial Ordering of Nanoparticles with Geometric Deep Learning. 55-60 - János Litzinger, Daniel Peters, Florian Thiel, Florian Tschorsch:
Utilization of Large Language Models for conformity assessment: Chances, Threats, and Mitigations. 61-68 - Sravya Malladi, Pranav Kulkarni:
Integrating Real-ESRGAN with CNN Models for UAV Image Based Plant Disease Detection. 69-73 - Messaouda Nekkaa, Mohamed Abdouni, Dalila Boughaci:
Interpreting NAS-Optimized Transformer Models for Remaining Useful Life Prediction Using Gradient Explainer. 75-80 - Adrian Niedziólka-Domanski, Jaroslaw Bylina:
Adapting CycleGAN architecture for Unpaired Diachronic Text Style Transfer. 81-86 - Lavanyan Rathy, Håvard Pedersen Brandal, Weria Khaksar:
Towards Human-Robot Interaction in Agriculture Using Large Language Models. 87-92 - Chun-Wei Tung, Chia-Chi Wang, Run-Hsin Lin, Shan-Shan Wang:
Multitask Learning for Six-Pack Toxicity Prediction. 93-97 - Muhammad Waris, Arsenio Cutolo Cutolo, Musarat Abbas, Mustafa Shah:
Exploring Multi-Agent Reinforcement Learning for Cell Mechanics. 99-106 - Tikiri Wanduragala:
Paths to Zero Emission Computing - Reducing Energy Consumption, and carbon emissions in HPC and AI environments. 107-107 - Peder Ormen Bukaasen, Weria Khaksar:
DBRow: A Density-Based algorithm for autonomous navigation within crop rows. 109-117 - Jorid Holmen, Weria Khaksar:
Detection and Classification of Rumex Weeds in Grasslands Using YOLOv11. 119-129
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