Showing: 1 - 10 of 11 RESULTS

Lunch Break

Take some time to relax and recharge with a buffet lunch offered in the foyer. Enjoy a variety of dishes while engaging in informal discussions with fellow attendees. It’s a perfect moment to reflect on the morning sessions and make new connections.

Session “Technologies for Smart Cities”

Supporting Energy Consumption Prediction: A Sustainable ApproachZahra Ziran*, Ala Arman, Massimo Mecella, Francesco Muzi, Giuseppe Piras Detecting Noise Pollution through a Spatio-temporal Deep Learning Model: A Case Study of BarcelonaMarc Semper*, Manuel Curado, Jose F. Vicente Cost-effective ADAS for inter-vehicle distance estimation using computer vision and deep learningGabriel Guerrero-Contrerasl*, Sara Balderas-Díaz, Alejandro Díaz-Gomez, Immaculade Medina-Bulo, …

Doctoral Colloquium

SPUR: Enhancing Cyclist Safety through Digital City Twins – A Data-Driven Infrastructure Planning and VR Simulation ApproachMichael Disser* Design of Immersive Environments to Enhance Learning for People with DisabilitiesCamilla Poggianti* ACCESS: Accessibility to Clinical Care for People with ASD through Anxiety ManagementElisa Salatti*

Session “Agriculture and Wildlife”

Forecasting Sterility Mosaic Disease in Pigeonpea Using Dynamic Bayesian Networks and 3D Point Cloud High-throughput Scanning PlatformVojtech Mikes*, Alexander Kocian, Jana Kholova, Jan Masner, Adam Kleczkowski, Mamta Sharma, Stefano Chessa, Alexander Galba, Pavel Simek Protecting Endangered Birds with Edge-AI: Real-Time Detection of Invasive Cats in Natural ParksFloreal Acebrón, Erika Rosas, Juan Carlos Cano, Pietro Manzoni, …

Short Paper Session

Improving Multi-Camera View Recommendation with Temporal and Camera EmbeddingKuan-Ying Lee, Quian Zhou, Klara Nahrstedt* An Intelligent System for Healthcare Service Logging in a Medium-Sized LanguageMaj Smerkolj*, Rok Susič, Tomo Jarc, Gizem Gültekin Várkonyi, Anton Gradišek CNN-Swin Backbones in Radar Object Detection for Autonomous Vehicles using Raw ADC SignalsIqbal Banwait, Niclas Zeller, Javad Alirezaie* Collaborative Lightweight …

Awards and Closing

In this session, we celebrate outstanding contributions to the field presented at IE2025. Several awards will be given in recognition of exceptional research, innovative ideas, and impactful presentations. For more details on the award categories and selection process, please visit ie2025.fraunhofer.de/awards.

Keynote: Scalable and Energy-Efficient Distributed Machine Learning

Large-scale distributed machine learning training networks are increasingly facing scaling problems with respect to FLOPS per deployed compute node. Communication bottlenecks can inhibit the effective utilization of expensive GPU resources. The root cause of these performance problems is not insufficient transmission speed or slow servers; it is the structure of the distributed computing and the …