Institute for Systems Engineering and Computers

Building an analysis-ready geospatial dataset for Convolutional Neural Networks-based rural property valuation using LiDAR 3D point clouds

In Portugal, fiscal valuation of rural properties is currently based on the agricultural income obtained in the previous year, disregarding both the productive potential of the land and its market value. To address this limitation, we propose a framework in which rural property v...

Optimal Participant Allocation in Individually‐Randomized Stepped‐Wedge Clinical Trials With One or More Treatments: Extensions to Realistic Settings

ABSTRACT In stepped‐wedge clinical trials the patients are randomized into separate groups. Each group transitions from no treatment to treatment at a different time period. The designs are useful when limited resources or geographical constraints make it impossible to treat all...

Runtime Firmware Update for 32-Bit Microcontrollers with Instruction Cache Under Concurrent Task Execution

Smart sensor devices increasingly require remote firmware updates to deploy new functionality, security patches and algorithmic improvements without interrupting services. Runtime firmware updates remain a significant challenge in embedded sensing systems, particularly in real-ti...

Battery chemistry, climate exposure, and V2G economics in electric bus fleets: A two-stage degradation-aware dispatch framework

Electric buses are central to urban decarbonization, yet public transportation operators face uncertainty regarding battery degradation, climate sensitivity, and the economic value of vehicle-to-grid (V2G) services. This paper proposes a two-stage framework to address these chall...