Learning Environment Design and Use

Art�culos similares

Effectiveness of Evidence-Based Design Approaches for Built Environment Professional Education: A Case Study on an Urban Design Studio

Acceso

Shulin Shi

Urban built environment professions are facing challenges due to the less predictable future of cities, as well as the increasing expectations from clients and the general public. It is crucial to support and inform these professions with sound evidence ... ver m�s

Revista: Buildings

Incorporating Context into BIM-Derived Data?Leveraging Graph Neural Networks for Building Element Classification

Acceso

Guy Austern, Tanya Bloch and Yael Abulafia

The application of machine learning (ML) for the automatic classification of building elements is a powerful technique for ensuring information integrity in building information models (BIMs). Previous work has demonstrated the favorable performance of s... ver m�s

Revista: Buildings

The Impact of Organizational Learning on Organizational Resilience in Construction Projects

Acceso

Piaoyi Jiao and Weiwei Bu

In an increasingly volatile environment, organizational learning plays a crucial role in helping organizations turn crises into opportunities and enhance organizational resilience. However, the existing research remains unclear on how organizational lear... ver m�s

Revista: Buildings

Evaluating the Robustness of Deep Learning Models against Adversarial Attacks: An Analysis with FGSM, PGD and CW

Acceso

William Villegas-Ch, Angel Jaramillo-Alc�zar and Sergio Luj�n-Mora

This study evaluated the generation of adversarial examples and the subsequent robustness of an image classification model. The attacks were performed using the Fast Gradient Sign method, the Projected Gradient Descent method, and the Carlini and Wagner ... ver m�s

Revista: Big Data and Cognitive Computing

Mountain Streambed Roughness and Flood Extent Estimation from Imagery Using the Segment Anything Model (SAM)

Acceso

Beata Baziak, Marek Bodziony and Robert Szczepanek

Machine learning models facilitate the search for non-linear relationships when modeling hydrological processes, but they are equally effective for automation at the data preparation stage. The tasks for which automation was analyzed consisted of estimat... ver m�s

Revista: Hydrology

Learning Environment Design and Use

Art�culos similares

Revistas destacadas