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Die Forschungsdokumentation (FoDok) der Universität Klagenfurt erfasst die Leistungen von Wissenschaftler*innen für den Zeitraum ihres aktiven Dienstverhältnisses zur Universität Klagenfurt sowie von Doktoratsstudierenden und emeritierten/pensionierten Wissenschaftler*innen.
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Vorträge (61)

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Exploring Radar-Camera Extrinsic Calibration: A Deep Learning Perspective and Challenges

Beteiligte: Abdalrahman Ibrahim, A Raab, Kyandoghere Kyamakya
Am: 23.12.2024
Veranstaltung: 8th European Conference on Electrical Engineering and Computer Science (ELECS 2024), Bern
Angemeldeter Vortrag
Analyzing the Effects of Emerging Technologies like 5G and IoT on Mobile Network Capacity Planning Using an Integrated System Dynamics

Beteiligte: Jean Claude Mudilu Kafunda, M Alsisi, Kelvin Egbine, Witesyavwirwa Vianney Kambale, Ange Taboria Baelongandi, Nicodème Kabongo Lungenyi, Marivaux Nzaji Bampende, Abdalrahman Ibrahim, Kyandoghere Kyamakya
Am: 23.12.2024
Veranstaltung: 8th European Conference on Electrical Engineering and Computer Science (ELECS 2024), Bern
Angemeldeter Vortrag
Peak Demand Response in Mobile Networks: A Hybrid Approach Using System Dynamics and Predictive Analytics

Beteiligte: Jean-Claude Mudilu Kafunda, Kelvin Egbine, M Alsisi, Ange Taboria Baelongandi, Marivaux Nzaji Bampende, Nicodème Kabongo Lungenyi, Witesyavwirwa Vianney Kambale, Abdalrahman Ibrahim, Kyandoghere Kyamakya
Am: 23.12.2024
Veranstaltung: 8th European Conference on Electrical Engineering and Computer Science (ELECS 2024), Bern
Angemeldeter Vortrag
Balancing Performance and Transparency: Explainable AI for Battery Health Monitorin

Beteiligte: Mohamed El Bahnasawi, Paraskevi Fasouli, Mohamed Asem Abelhalim Abdellatif, Mohamed Salem, Martin Gebser, Kyandoghere Kyamakya
Am: 11.12.2024
Veranstaltung: DCLXVI 2024 International Workshop Designing the Conceptual Landscape for a XAIR Validation Infrastructure, Kaiserslautern
Angemeldeter Vortrag
Conceptualizing Validation Systems for Explainable AI: A Design Approach

Beteiligte: Mohamed El Bahnasawi, Paraskevi Fasouli, Mohamed Asem Abelhalim Abdellatif, Mohamed Salem, Martin Gebser, Kyandoghere Kyamakya
Am: 11.12.2024
Veranstaltung: DCLXVI 2024 International Workshop Designing the Conceptual Landscape for a XAIR Validation Infrastructure, Kaiserslautern
Angemeldeter Vortrag
A Hybrid AI Framework Integrating Ontology Learning, Knowledge Graphs, and Large Language Models for Improved Data Model Translation in Smart Manufacturing and Transportation

Beteiligte: Kabeh Mohsenzadegan, Vahid Tavakkoli, Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya
Am: 25.11.2024
Veranstaltung: 2024 Sensor Data Fusion: Trends, Solutions, Applications SDF 2024, Bonn
Angemeldeter Vortrag
Towards Seamless Data Translation Based on Data Models: A Hybrid AI Framework for Smart Transportation and Manufacturing

Beteiligte: Kabeh Mohsenzadegan, Vahid Tavakkoli, Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya
Am: 21.11.2024
Veranstaltung: 19th International Workshop on Semantic and Social Media Adaptation & Personalization, Athen
Angemeldeter Vortrag
Integrating IEEE 1451 and IEC 61499 Standards for Enhanced Interoperability in Smart Manufacturing and Transportation Systems

Beteiligte: Vahid Tavakkoli, Kabeh Mohsenzadegan, Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya
Am: 21.11.2024
Veranstaltung: 19th International Workshop on Semantic and Social Media Adaptation & Personalization, Athen
Angemeldeter Vortrag
A metadata-augmented technique for time series forecasting and transfer learning

Beteiligte: Witesyavwirwa Vianney Kambale, Mahmoud Hamed, Mohamed El Bahnasawi, Mohamed Salem, Fadi Al Machot, Kyandoghere Kyamakya
Am: 20.11.2024
Veranstaltung: 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), Nancy
Angemeldeter Vortrag
A meta-learning approach for electric vehicles’ charging load demand forecasting

Beteiligte: Witesyavwirwa Vianney Kambale, Denis D’Ambrosi, Antoine Kazadi Kayisu, Mohamed El Bahnasawi, Paraskevi Fasouli, Kyandoghere Kyamakya
Am: 20.11.2024
Veranstaltung: 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), Nancy
Angemeldeter Vortrag
Unveiling Synergies: Integrating IEEE 1451 and ISO 15926 for Advanced Interoperability in Smart Manufacturing and Transportation

Beteiligte: Vahid Tavakkoli, Kabeh Mohsenzadegan, Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya
Am: 20.11.2024
Veranstaltung: 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), Nancy
Poster-Präsentation
Analyzing the Effects of Emerging Technologies like 5G and IoT on Mobile Network Capacity Planning Using an Integrated System Dynamics

Beteiligte: Jean Claude Mudilu Kafunda, M Alsisi, Kelvin Egbine, Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya
Am: 26.10.2024
Veranstaltung: 16th International Conference on Autonomous Systemss, Cala Millor
Angemeldeter Vortrag
Explainable Prompt-Based Image Generation: Developing Transparent Generative Models

Beteiligte: Paraskevi Fasouli, Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya
Am: 26.10.2024
Veranstaltung: 16th International Conference on Autonomous Systemss, Cala Millor
Angemeldeter Vortrag
Enhancing Long-Term Battery Health Multivariate Time-Series Prediction Monitoring: A Comparative Study of Neural Networks, Autoencoders, and Transformer Models

Beteiligte: Mohamed El Bahnasawi, Martin Gebser, Kyandoghere Kyamakya
Am: 26.10.2024
Veranstaltung: 16th International Conference on Autonomous Systemss, Cala Millor
Angemeldeter Vortrag
Generation of Artificial Datasets for Fault Detection in Induction Motors Using Extreme Learning Machine.

Beteiligte: Amos Mulenga Nzung, Witesyavwirwa Vianney Kambale, Marivaux Nzaji Bampende, Ange Taboria Baelongandi, Mohamed Salem, Kyandoghere Kyamakya
Am: 10.10.2024
Veranstaltung: 2024 IEEE Power Engineering Society Conference and Exposition in Africa, PowerAfrica, Johannesburg
Angemeldeter Vortrag
Towards a Physics Informed Neural Network Approach for Modeling and Prediction of Renewable Energy Production: Use Case of Solar Cells

Beteiligte: Ange Taboria Baelongandi, Witesyavwirwa Vianney Kambale, Amos Mulenga Nzung, Marivaux Nzaji Bampende, David Krame Kadurah, Kyandoghere Kyamakya
Am: 09.10.2024
Veranstaltung: 2024 IEEE Power Engineering Society Conference and Exposition in Africa, PowerAfrica, Johannesburg
Angemeldeter Vortrag
Enhancing Downlink Throughput Prediction in 4G LTE Networks Using Ensemble Learning Techniques.

Beteiligte: Discret Kumba Kiluiba, Witesyavwirwa Vianney Kambale, Jean Claude Mudilu Kafunda, Amos Mulenga Nzung, Mahmoud Hamed, Kyandoghere Kyamakya
Am: 29.09.2024
Veranstaltung: 4th nternational Conference on Applied Mathematics & Computer Science, Venice
Angemeldeter Vortrag
A Stacking Ensemble Technique for Mechanical Fault Detection in Induction Motors

Beteiligte: Marivaux Nzaji Bampende, Witesyavwirwa Vianney Kambale, Amos Mulenga Nzung, Ange Taboria Baelongandi, Mahmoud Hamed, Kyandoghere Kyamakya
Am: 29.09.2024
Veranstaltung: 4th nternational Conference on Applied Mathematics & Computer Science, Venice
Angemeldeter Vortrag
Combining Autoencoder and Cellular Neural Networks for Enhanced Direct Multi-Step Forecasting of Short and Long-Term Multivariate Time Series in Battery Health Monitoring: A Preliminary Feasibility Analysis

Beteiligte: Mohamed El Bahnasawi, Martin Gebser, Witesyavwirwa Vianney Kambale, Mohamed Salem, Jean Chamberlain Chedjou, Kyandoghere Kyamakya
Am: 29.09.2024
Veranstaltung: 4th nternational Conference on Applied Mathematics & Computer Science, Venice
Angemeldeter Vortrag
Comprehensive discussion of the potential of using SYSTEM DYNAMICS in modeling and forecasting ROAD SAFETY. Brief state-of-the-art review, pros and cons in light of the limitations of relevant traditional approaches.

Beteiligte: Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya
Am: 26.10.2023
Veranstaltung: 2023 International Cooperation on Theories and Concepts in Traffic safety (ICTCT), Catania
Poster-Präsentation