Buch, Englisch, 638 Seiten, Format (B × H): 155 mm x 235 mm
Proceedings of the 2026 Intelligent Systems Conference (IntelliSys). Volume 4
Buch, Englisch, 638 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-35077-0
Verlag: Springer
This book gathers the proceedings of the 12th Intelligent Systems Conference 2026 (IntelliSys 2026), held on 3–4 September 2026 in Amsterdam, The Netherlands, contain selected peer-reviewed papers presenting recent advances, innovative methodologies, and practical applications in the field of intelligent systems and related technologies.
The conference served as an international platform for researchers, academicians, scientists, and industry professionals to exchange ideas, share research findings, and discuss current challenges and future directions in intelligent computing. The accepted contributions cover a wide range of topics, including Artificial Intelligence, Machine Learning, Computer Vision, Internet of Things (IoT), Cyber-Physical Systems, Data Science, and Intelligent Computing. All submissions underwent a rigorous double-blind peer-review process conducted by the Technical Program Committee to ensure high standards of quality, originality, technical merit, and relevance to the conference themes.
These proceedings reflect the multidisciplinary nature and continuing growth of intelligent systems research.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Intelligent Lifecycle and Quality-Aware Optimization of Distributed Data Pipelines.- Not all Errors are Equal: Improving Worst-Group Accuracy with Disagreement-Based Selective Prediction.- Independence Testing with Indefinite Kernels in Reproducing Kernel Krein Spaces.- Tattoo Image Embeddings Through Self-Supervised Transformer Learning.- Smart Chair for Posture Classification and Behavioral Sensing.- Task-Aligned Contrastive Learning for Filtering Noise in Multi-Label Text Classification.- Optimizing Reverse Logistics: A Spatio-Temporal ML Framework for Industrial Waste Forecasting.- Ground Truth: Evaluating Responses Between LLMs to Identify Agreement.- GenAI-Driven Approach to RISC-V Supply Chain Exploration.- Do XAI Methods Agree? A Comparative Study of Explainability in Brain MRI Imaging.
