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2020 – today
- 2024
[j6]Abdul-Rasheed Ottun
, Adeyinka Akintola, Mohan Liyanage, Michell Boerger, Pan Hui, Sasu Tarkoma, Nikolay Tcholtchev, Petteri Nurmi, Huber Flores:
AI Robustness Against Attacks in City-Scale Autonomous Drone Deployments. Computer 57(12): 47-57 (2024)- [c6]Abdul-Rasheed Ottun, Rasinthe Marasinghe, Toluwani Elemosho, Mohan Liyanage, Mohamad Ragab, Prachi Bagave, Marcus Westberg, Mehrdad Asadi, Michell Boerger, Chamara Sandeepa, Thulitha Senevirathna, Bartlomiej Siniarski, Madhusanka Liyanage, Vinh Hoa La, Manh-Dung Nguyen, Edgardo Montes de Oca, Tessa Oomen, João Fernando Ferreira Gonçalves, Illija Tanaskovic, Sasa Klopanovic, Nicolas Kourtellis, Claudio Soriente, Jason Pridmore, Ana Rosa Cavalli, Drasko Draskovic, Samuel Marchal, Shen Wang, David Solans Noguero, Nikolay Tcholtchev, Aaron Yi Ding, Huber Flores:
The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications. ICDCS 2024: 947-959 - [c5]Abdul-Rasheed Ottun, Rasinthe Marasinghe, Toluwani Elemosho, Mohan Liyanage, Ashfaq Hussain Ahmed, Michell Boerger, Chamara Sandeepa, Thulitha Senevirathna, Vinh Hoa La, Manh-Dung Nguyen, Claudio Soriente, Samuel Marchal, Shen Wang, David Solans Noguero, Nikolay Tcholtchev, Aaron Yi Ding, Huber Flores:
SPATIAL: Practical AI Trustworthiness with Human Oversight. ICDCS 2024: 1427-1430 - [c4]Helene Knof, Michell Boerger, Nikolay Tcholtchev:
Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-Based MI Detection Model. xAI (4) 2024: 169-190 - 2023
- [j5]Denis Rangelov, Michell Boerger, Nikolay Tcholtchev, Philipp Lämmel, Manfred Hauswirth:
Design and Development of a Short-Term Photovoltaic Power Output Forecasting Method Based on Random Forest, Deep Neural Network and LSTM Using Readily Available Weather Features. IEEE Access 11: 41578-41595 (2023) - [j4]Denis Rangelov, Philipp Lämmel, Lisa Brunzel, Stephan Borgert, Paul L. Darius, Nikolay Tcholtchev, Michell Boerger:
Towards an Integrated Methodology and Toolchain for Machine Learning-Based Intrusion Detection in Urban IoT Networks and Platforms. Future Internet 15(3): 98 (2023) - [c3]Abdul-Rasheed Ottun, Mehrdad Asadi, Michell Boerger, Nikolay Tcholtchev, João Gonçalves, Dusan Borovcanin, Bartlomiej Siniarsk, Huber Flores:
One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based Software. IEEE Big Data 2023: 3556-3565 - [c2]Helene Knof, Prachi Bagave, Michell Boerger, Nikolay Tcholtchev, Aaron Yi Ding:
Exploring CNN and XAI-based Approaches for Accountable MI Detection in the Context of IoT-enabled Emergency Communication Systems. IoT 2023: 50-57 - 2022
- [j3]Michell Boerger, Philipp Lämmel, Nikolay Tcholtchev, Manfred Hauswirth:
Design and Specification of a Privacy-Preserving Registration for Blockchain-Based Energy Markets. J. Ubiquitous Syst. Pervasive Networks 17(2): 73-81 (2022) - [j2]Michell Boerger, Philipp Lämmel, Nikolay Tcholtchev, Manfred Hauswirth:
Enabling Short-Term Energy Flexibility Markets Through Blockchain. ACM Trans. Internet Techn. 22(4): 108:1-108:25 (2022) - 2021
- [c1]Denis Rangelov, Budankailu Sameer Kumar Subudhi, Philipp Lämmel, Michell Boerger, Nikolay Tcholtchev, Jaffer Khan:
Design and Specification of a Blockchain-based P2P Energy Trading Platform. QRS Companion 2021: 636-643 - [i1]Philipp Lämmel, Michell Boerger, Nikolay Tcholtchev, Eva Ottendörfer:
Policies and Recommendations for IT Security in Urban Environments from the Morgenstadt Urban Data Partnership Project. ERCIM News 2021(126): 0 (2021) - 2020
- [j1]Budankailu Sameer Kumar Subudhi, Faruk Catal, Nikolay Tcholtchev, Kin Tsun Chiu, Yacine Rebahi, Michell Boerger, Philipp Lämmel:
Performance Testing for VoIP Emergency Services: a Case Study of the EMYNOS Platform and a Reflection on potential Blockchain Utilisation for NG112 Emergency Communication. J. Ubiquitous Syst. Pervasive Networks 12(1): 1-8 (2020)
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