Performance Testing for VoIP Emergency Services: a Case Study of the EMYNOS Platform and a Reflection on potential Blockchain Utilisation for NG112 Emergency Communication. - Budankailu Sameer Kumar Subudhi; Faruk Catal; Nikolay Tcholtchev; Kin Tsun Chiu; Yacine Rebahi; Michell Boerger; Philipp Lämmel (J. Ubiquitous Syst. Pervasive Networks, 2020)

Design and Specification of a Blockchain-based P2P Energy Trading Platform. - Denis Rangelov; Budankailu Sameer Kumar Subudhi; Philipp Lämmel; Michell Boerger; Nikolay Tcholtchev; Jaffer Khan (QRS Companion, 2021)

Policies and Recommendations for IT Security in Urban Environments from the Morgenstadt Urban Data Partnership Project. - Philipp Lämmel; Michell Boerger; Nikolay Tcholtchev; Eva Ottendörfer (ERCIM News, 2021)

Design and Specification of a Privacy-Preserving Registration for Blockchain-Based Energy Markets. - Michell Boerger; Philipp Lämmel; Nikolay Tcholtchev; Manfred Hauswirth (J. Ubiquitous Syst. Pervasive Networks, 2022)

Enabling Short-Term Energy Flexibility Markets Through Blockchain. - Michell Boerger; Philipp Lämmel; Nikolay Tcholtchev; Manfred Hauswirth (ACM Trans. Internet Techn., 2022)

One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based Software. - Abdul-Rasheed Ottun; Mehrdad Asadi; Michell Boerger; Nikolay Tcholtchev; João Gonçalves; Dusan Borovcanin; Bartlomiej Siniarsk; Huber Flores (IEEE Big Data, 2023)

Exploring CNN and XAI-based Approaches for Accountable MI Detection in the Context of IoT-enabled Emergency Communication Systems. - Helene Knof; Prachi Bagave; Michell Boerger; Nikolay Tcholtchev; Aaron Yi Ding (IoT, 2023)

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. - Denis Rangelov; Michell Boerger; Nikolay Tcholtchev; Philipp Lämmel; Manfred Hauswirth (IEEE Access, 2023)

Towards an Integrated Methodology and Toolchain for Machine Learning-Based Intrusion Detection in Urban IoT Networks and Platforms. - Denis Rangelov; Philipp Lämmel; Lisa Brunzel; Stephan Borgert; Paul L. Darius; Nikolay Tcholtchev; Michell Boerger (Future Internet, 2023)

SPATIAL: Practical AI Trustworthiness with Human Oversight. - 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; et al. (ICDCS, 2024)

The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications. - 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; et al. (ICDCS, 2024)

Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-Based MI Detection Model. - Helene Knof; Michell Boerger; Nikolay Tcholtchev (xAI (4), 2024)

AI Robustness Against Attacks in City-Scale Autonomous Drone Deployments. - Abdul-Rasheed Ottun; Adeyinka Akintola; Mohan Liyanage; Michell Boerger; Pan Hui 001; Sasu Tarkoma; Nikolay Tcholtchev; Petteri Nurmi; Huber Flores (Computer, 2024)