21st International Conference on Intelligent Environments
24 June 2025
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.
A chance to pause, refresh, and connect with fellow participants. Use this time to exchange ideas and continue the conversation beyond the sessions. Coffee and light refreshments will be provided.
A chance to pause, refresh, and connect with fellow participants. Use this time to exchange ideas and continue the conversation beyond the sessions. Coffee and light refreshments will be provided.
On arrival at the registration desk, you will receive your conference materials and name badge. These will give you access to all scheduled sessions, workshops, and social events. We are delighted to have you with us and look forward to inspiring discussions, new insights, and valuable networking opportunities. If you have any questions, our staff …
Keynote I: Privacy Preserving in Edge Intelligence: Evaluation and InsightsBahman Javadi Keynote II: Accurate and Cost-Scalable Visual-Geometric Matching for indoor IoT ServicesJunji Takahashi Rule-Based Adaptive Energy Optimization for Neural Network-Based Energy-Efficient Transmission in Intelligent SystemsDavid Emmanuel, Nimesha Gamage, Anil Fernando Quality Model Tool for Intelligent Environments: Initial Findings from a Literature ReviewMrinal Sharma CAWN: Calibration-less Wi-Fi …
Keynote: From ambient to space and back. . . with a little help from machine learningBogdan Ruszszak The Role of semantic Models in constraining Pattern Recognition in Modern AI SystemsFelix Schaller Vertical Projected Area Measurement Method Using Semantic Segmentation for Crop Growth PredictionRintaro ITO, Nobutada Fujii, Tekehide Soh, Shinichi Nakano Leveraging Artificial Intelligence to Forecast …
In machine learning, missing features can disrupt predictive models. Active Feature Acquisition (AFA) addresses this by identifying which missing data to acquire under budget constraints. This tutorial introduces AFA for static and streaming data, guiding participants through implementing stream-based AFA methods. By the end, participants will have hands-on experience developing their own AFA solutions. This …
The development of Intelligent Environments presents significant complexity due to the diverse and advanced technologies involved. These systems integrate a range of components, including Sensor Networks, Artificial Intelligence algorithms, and user-personalised Human-Computer Interfaces. Each of these technologies is intricate on its own, and their combination in a cohesive system adds further layers of complexity. Additionally, …