6 papers
Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types
Michał Romaszewski, Kamil Drejer, Katarzyna Kołodziej +7
Sentinel-2 imagery offers open access, global coverage, and frequent revisit times, making it attractive for practical building mapping at scale; however, its native 10m resolution…
Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing
Aygün Varol, Katarzyna Kołodziej, Łukasz Sobczak +5
Large language models (LLMs) offer a natural-language interface for interpreting Internet of Things (IoT) sensor data in smart environments; however, cloud deployment introduces la…
From Articles to Canopies: Knowledge-Driven Pseudo-Labelling for Tree Species Classification using LLM Experts
Michał Romaszewski, Dominik Kopeć, Michał Cholewa +6
Hyperspectral tree species classification is challenging due to limited and imbalanced class labels, spectral mixing (overlapping light signatures from multiple species), and ecolo…
Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials
Katarzyna Kołodziej, Michał Cholewa, Przemysław Głomb +2
Calibration is a critical process for reducing uncertainty in Water Distribution Network Hydraulic Models (WDN HM). However, features of certain WDNs, such as oversized pipelines,…
`Just One More Sensor is Enough' -- Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors
Michał Cholewa, Michał Romaszewski, Przemysław Głomb +6
In this article, we propose an approach to leak localisation in a complex water delivery grid with the use of data from physical simulation (e.g. EPANET software). This task is usu…
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models
Michał Romaszewski, Przemysław Sekuła, Przemysław Głomb +2
Large Language Models (LLMs) have shown exceptional performance in text processing. Notably, LLMs can synthesize information from large datasets and explain their decisions similar…