- 2024
- Michael Köhler-Bußmeier, Wolfgang Renz, Jan Sudeikat:
Intelligent Distributed Computing XVI - 16th International Symposium on Intelligent Distributed Computing, IDC 2023, Hamburg, Germany, September 13-15, 2023. Studies in 1138, Springer 2024, ISBN 978-3-031-60022-7 [contents] - 2023
- Diana Gratiela Berbecaru, Stefano Giannuzzi:
Fighting TLS Attacks: An Autoencoder-Based Model for Heartbleed Attack Detection. IDC 2023: 40-54 - Lars Braubach, Theresa Schulz, Kai Jander:
Robustness by Design. IDC 2023: 267-284 - Alexander M. Busch, Kolja Eger, Björn Richerzhagen:
Comparison of Power Consumption Models for 5G Cellular Network Base Stations. IDC 2023: 199-212 - Laif-Oke Clasen, Daniel Moldt, Marcel Hansson, Karl Ihlenfeldt, Lukas Seifert:
Associative Composition of Web Service Invocation Sequences Based on Agent Interaction Diagrams. IDC 2023: 232-248 - Ingo Friese:
New Distributed Cloud- And Network Architecture for True 3D Holography. IDC 2023: 3 - Michele Grimaldi, Cédric Herpson:
Multi-agent Reward-Based Intruder Capture. IDC 2023: 251-266 - Konstantin E. Izrailov, Nikita Romanov, Andrey Chechulin, Alexander Yaroshenko, Igor V. Kotenko:
Intelligent Selection of Requirements for a Secure Design of Smart City Transport Infrastructure Interfaces. IDC 2023: 135-148 - Philipp Kisters, Leonie van der Veen, Janick Edinger:
Privacy-Preserving Edge Processing in Decentralized Citizen-Centric Sensor Networks. IDC 2023: 149-163 - Michael Köhler-Bußmeier, Jan Sudeikat:
Studying the Micro-Macro-Dynamics in MAPE-Like Adaption Processes. IDC 2023: 285-300 - N. Krüger, M. Völschow:
Solar System Object Detection in Time Series Data Using Synthetically Trained Neural Networks. IDC 2023: 55-69 - Sebastian Lehnhoff:
Trust Assessment in Distributed Energy Systems. IDC 2023: 4 - Dmitry Levshun:
Comparative Analysis of Machine Learning Methods in Vulnerability Categories Prediction Based on Configuration Similarity. IDC 2023: 70-81 - Elena-Ruxandra Lutan, Costin Badica, Maria Ganzha, Marcin Paprzycki:
Emergent Topic-Based Classification of Literature Books Using Social Data Analysis. IDC 2023: 101-115 - Michael Merz:
Why NOT Blockchain? IDC 2023: 5-6 - Berndt Müller:
Future Proofing Systems Engineering: Reliability, Responsibility, and Resilience. IDC 2023: 13-16 - Ionut Muraretu, Daniel-Costel Bouleanu, Alexandra Vultureanu-Albisi, Costin Badica, Dimitrios Sarafis, Kalliopi Kravari, Periklis Chatzimisios:
A Microservice-Based Multi-agent System for the Job Market. IDC 2023: 301-316 - Evgenia Novikova, Marat Bukhtiarov, Igor V. Kotenko, Elena Fedorchenko, Igor Saenko:
Towards Application of the Tabular Data Transformation to Images in the Intrusion Detection Tasks Using Deep Learning Techniques. IDC 2023: 85-100 - Malin Radtke, Stefanie Holly, Astrid Nieße:
Distributed Flexibility Fitness Landscape Analysis for Parameterization of Algorithms in Multi-agent Energy Systems. IDC 2023: 164-179 - Wolfgang Renz, Juri Backes, Jan Oliver Sudeikat:
Risk-Aware CPS Operation Scheme for Self-organizing Balancing-Power Pools. IDC 2023: 180-196 - Heiko Rölke, Christine Seidler:
Regional Planning Support as a Combination of Expert Judgement, Open Data, Simulation, and Machine Learning. IDC 2023: 21-24 - Linda Rülicke, Michel Otto, Lars Braubach:
A Data Space Experimentation Framework. IDC 2023: 116-131 - Bastian Silies, Lars Braubach:
An Environmentally Friendly Race Timing System Based on Cameras Only. IDC 2023: 213-231 - Peer Stelldinger, Mustafa F. R. Ibrahim:
Local Distribution Privacy in Federated Learning. IDC 2023: 9-12 - Tim Tiedemann, Anja Schmidt, Jesse Stricker, Jonas Fuhrmann:
First Results of a Comparison of Machine Learning Hardware Acceleration Approaches Using Field Programmable Gate Arrays in an Agricultural Mobile Robotic Application Case. IDC 2023: 27-39 - Petrit Vuthi, Jan Sudeikat, Irene Peters:
Analyzing the Transformation Path of the Local Energy Infrastructure. IDC 2023: 17-20 - Lars Braubach, Kai Jander, Costin Badica:
Intelligent Distributed Computing XV, 15th International Symposium on Intelligent Distributed Computing, IDC 2022, Virtual Event / Bremen, Germany, 14-15 September 2022. Studies in Computational Intelligence 1089, Springer 2023, ISBN 978-3-031-29103-6 [contents] - 2022
- Rocco Aversa, Dario Branco, Beniamino Di Martino, Pietro Fusco, Salvatore Venticinque:
EV Route Planning Across Smart Energy Neighborhoods. IDC 2022: 267-276 - Anik Biswas, Julia Garbaruk, Doina Logofatu:
Machine Learning Model for Flower Image Classification on a Tensor Processing Unit. IDC 2022: 69-74 - Daniel-Costel Bouleanu, Costin Badica, Kalliopi Kravari:
Using SHAP-Based Interpretability to Understand Risk of Job Changing. IDC 2022: 41-50