Blog category
Environment
Enhancing Waterbody Detection with Synthetic Datasets: Overcoming Out-of-Distribution Challenges
This study explores using synthetic datasets and deep learning to improve waterbody detection and segmentation in diverse environments.
Revolutionizing Material Design: Nature-Inspired Architected Materials Using Unsupervised Deep Learning
This study explores using unsupervised deep learning to design nature-inspired architected materials with optimized properties for various applications.
Transforming Construction with Generative Decision Support: The Role of Field Information Modeling (FIM)
This study explores using the FIM framework for generative decision support in construction, optimizing design, efficiency, and sustainability.
Harnessing Synthetic Data for Fire and Smoke Detection: Insights from the "Fire and Smoke in Confined Space" Dataset
This dataset consists of a collection of images simulating smoke and fire scenarios in warehouse and server room environments.
Advancing Typhoon Prediction with Generative Adversarial Networks and Satellite Imagery
This study explores using GANs and satellite images to enhance typhoon track predictions, improving forecasting accuracy and disaster preparedness.