IAS-LAB PUBLICATIONS
Improving pseudo-labelling for semi-supervised single-class instance segmentation via mask symmetry scoring
Authors: Hurst Bradley; Bellotto Nicola; Bosilj Petra
Journal: PATTERN RECOGNITION LETTERS
Published: 2026
DOI: 10.1016/j.patrec.2025.11.044
Volume: 200 Pages: 60-66
Causality-enhanced decision-making for autonomous mobile robots in dynamic environments
Authors: Castri Luca; Bellotto Nicola; Beraldo Gloria
Journal: EXPERT SYSTEMS WITH APPLICATIONS
Published: 2026
DOI: 10.1016/j.eswa.2026.131246
Volume: 309
Long-term behaviour of Portland cement blended with Pb: Persistent retardation effects from early hydration to 2 years
Authors: Liu Yikai; Dalconi Maria Chiara; Valentini Luca; Bellotto Maurizio Pietro; Liu Bin; Wang Daolin; Yuan Xinyi; Yang Jingjing; Chen Qiusong; Molinari Simone; Fernandez-Martinez Alejandro; Artioli Gilberto
Journal: CEMENT AND CONCRETE RESEARCH
Published: 2026
DOI: 10.1016/j.cemconres.2026.108220
Volume: 205
Peptide-Functionalized Gold Nanorods as a Model to Reach the Cell Nucleus: Synthesis and Structural Characterizations in View of Theragnostic Applications
Authors: Binelli Ludovica; Bertela Federica; Amatori Simone; Lipani Diego; Battocchio Chiara; Iucci Giovanna; Tortora Luca; Dini Valentina; Grande Sveva; Palma Alessandra; Ranaldi Marco; De Berardis Barbara; Ammendolia Maria G.; Mancini-Terraciano Carlo; Fabbri Andrea; Attili Andrea; Scotognella Teresa; Giordano Alessandro; Calcagni Maria L.; Dettin Monica; Zamuner Annj; Maraloiu Valentin-Adrian; Venditti Iole
Journal: JOURNAL OF PHYSICAL CHEMISTRY B
Published: 2026
Muscle transcriptomics of alpha-sarcoglycanopathy highlights inflammatory pathways driving disease
Authors: Amaro Adriana; Reggiani Francesco; Panicucci Chiara; Petito Mariangela; Baratto Serena; Pintus Sara; Principi Elisa; Antonini Francesca; Del Zotto Genny; Vellone Valerio Gaetano; D'amico Adele; Lopergolo Diego; Tonin Paola; Malfatti Edoardo; Mongini Tiziana; Pegoraro Elena; Previtali Stefano C.; Rodolico Carmelo; Tasca Giorgio; Fiorillo Chiara; Gazzerro Elisabetta; Pfeffer Ulrich; Bruno Claudio; Raffaghello Lizzia
Journal: BRAIN
Published: 2026
Volume: 149 Pages: 1302-1318
A Review on Environment-Adaptive Gait Planning for Semiautonomous Lower Limb Exoskeletons
Authors: Trombin Edoardo; Tortora Stefano; Bettella Francesco; Del Felice Alessandra; Menegatti Emanuele; Tonin Luca
Journal: IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Published: 2026
DOI: 10.1109/TSMC.2026.3654358
Volume: 56 Pages: 2206-2224
Pb-induced retardation of early hydration of Portland cement: Insights from in-situ XRD and implications for substitution with industrial by-products
Authors: Liu Yikai; Dalconi Maria Chiara; Bellotto Maurizio Pietro; Valentini Luca; Molinari Simone; Yuan Xinyi; Wang Daolin; Hu Wei; Chen Qiusong; Fernandez-Martinez Alejandro; Artioli Gilberto
Journal: CEMENT AND CONCRETE RESEARCH
Published: 2025
DOI: 10.1016/j.cemconres.2025.107867
Using industrial by-products as substitutes for Ordinary Portland Cement (OPC) is a promising strategy to reduce its environmental impact. However, heavy metals like Pb strongly interfere with initial kinetics. The dynamic physicochemical environment makes it challenging to identify the key factors. Here, we employed in-situ XRD as a time-dependent method, alongside conventional characterization techniques and geochemical modeling, to investigate the Pb-induced retardation in CEMI 42.5R and 52.5R. The results show that Pb-hydroxides and Pb-O-Si clusters are expected to be the primary mechanisms for this inhibition. Among clinker phases, C3A dissolution is less affected and serves as the primary source of alkalinity in early hydration, promoting hydration products precipitation and gypsum dissolution. Geochemical modeling suggests that Pb species concentration in the solution regulates the precipitation of hydration products, especially portlandite. The comparison of hydration kinetics of 2 types of OPC highlights optimizing particle size as a solution to mitigate retardation impact.
Volume: 193
Keywords: Heavy metals; Hydration; In-situ XRD; Retardation mechanism; Thermodynamic modeling;
MicroFlow: An Efficient Rust-Based Inference Engine for TinyML
Authors: Carnelos Matteo; Pasti Francesco; Bellotto Nicola
Journal: INTERNET OF THINGS
Published: 2025
DOI: 10.1016/j.iot.2025.101498
In recent years, there has been a significant interest in developing machine learning algorithms on embedded systems. This is particularly relevant for bare metal devices in Internet of Things, Robotics, and Industrial applications that face limited memory, processing power, and storage, and which require extreme robustness. To address these constraints, we present MicroFlow, an open-source TinyML framework for the deployment of Neural Networks (NNs) on embedded systems using the Rust programming language. The compiler-based inference engine of MicroFlow, coupled with Rust’s memory safety, makes it suitable for TinyML applications in critical environments. The proposed framework enables the successful deployment of NNs on highly resource-constrained devices, including bare-metal 8-bit microcontrollers with only 2 kB of RAM. Furthermore, MicroFlow is able to use less Flash and RAM memory than other state-of-the-art solutions for deploying NN reference models (i.e. wake-word and person detection), achieving equally accurate but faster inference compared to existing engines on medium-size NNs, and similar performance on bigger ones. The experimental results prove the efficiency and suitability of MicroFlow for the deployment of TinyML models in critical environments where resources are particularly limited.
Volume: 30
Keywords: Embedded systems; IoT; Neural networks; Rust; TinyML;
Latent Distillation for Continual Object Detection at the Edge
Authors: Pasti Francesco; Ceccon Marina; Pezze Davide Dalle; Paissan Francesco; Farella Elisabetta; Susto Gian Antonio; Bellotto Nicola
Journal: COMPUTER VISION-ECCV 2024 WORKSHOPS, PT XI
Published: 2025
DOI: 10.1007/978-3-031-91979-4_21
Volume: 15633 Pages: 279-294
DARKO-Nav: Hierarchical Risk and Context-Aware Robot Navigation in Complex Intralogistic Environments
Authors: Stracca Elena; Rudenko Andrey; Palmieri Luigi; Salaris Paolo; Castri Luca; Mazzi Nicolo; Rakcevic Vasilije; Vaskevicius Narunas; Linder Timm; Bellotto Nicola; Schreiter Tim; Zhu Yufei; Quero Manuel Castellano; Napolitano Olga; Stefanini Elisa; Heuer Lukas; Magnusson Martin; Swikir Abdalla; Lilienthal Achim J.; Mazzi Nicolò; Castellano Quero Manuel; J. Lilienthal Achim
Journal: EUROPEAN ROBOTICS FORUM 2025
Published: 2025
DOI: 10.1007/978-3-031-89471-8_24
We propose a flexible hierarchical navigation stack for a mobile robot in complex dynamic environments. Addressing the growing need for reliable navigation in real-world scenarios, where dynamic agents and environmental uncertainties pose significant challenges, our solution decomposes this complexity into task planning, navigation, control, and safe velocity components. In contrast to the prior art, our system at every level incorporates diverse contextual information about the environment, anticipates navigation risks and proactively avoids collisions with dynamic agents.
Volume: 36 Pages: 155-161
Keywords: intralogistics; navigation in dynamic environments; predictive collision avoidance; risk-aware path planning;