Olivelli, M.; Donati, M.; Vianello, A.; Petrucci, I.; Masi, S.; Bechini, A.; Fanucci, L. - "Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration"

Abstract: The emergence of the highly contagious coronavirus disease has led to multiple pandemic waves, resulting in a significant number of hospitalizations and fatalities. Even outside of hospitals, general practitioners have faced serious...

Olivelli M., Donati M., Vianello A., Masi S., Alessio B. and Fanucci L. "An Intelligent System for Telemonitoring Plan Decision and Update in Covid-19 Patients"

Abstract: In recent years, the emergence of the novel COVID-19 has presented a significant challenge as a highly contagious and devastating viral disease. It has become a public health emergency, placing immense strain on healthcare systems. Monitoring...

Bua, C.; Adami, D.; Giordano, S. GymHydro: An Innovative Modular Small-Scale Smart Agriculture System for Hydroponic Greenhouses. Electronics 2024, 13, 1366.

In response to the challenges posed by climate change, including extreme weather events, such as heavy rainfall and droughts, the agricultural sector is increasingly seeking solutions for the efficient use of resources, particularly water. Pivotal...

E. Fontana, C. Lambranzi, S. M. Kargar, A. Imperato, R. U. Hameed: "Robotic Arm Control for Dice Manipulation using Computer Vision and Tactile Sensing", I-RIM 3D Conference, 2023

In the pursuit of advanced robotics and intelligent machine capabilities, this abstract explores the solutions adopted in a robotic challenge. Given a specific number as the goal, the objective entailed manipulating the dice to precisely exhibit the...

E. Fontana, M. Rossero, G. Grioli, M. G. Catalano, M. Bianchi, A. Bicchi: "A Test-bench to Investigate the Use of Magnetic Fields for Haptic Feedback in Prosthetics", I-RIM 3D Conference, 2023

This abstract delves into the pivotal role of feedback in prosthetic devices and aims to investigate the validity of a novel approach based on magnetic interaction between appropriately powered solenoids and a magnet. Through controlled solenoid...

De Bonis M., Minutella F., Falchi F., Manghi P.: "A Graph Neural Network approach for Evaluating Correctness of Groups of Duplicates", TPDL 2023

Unlabeled entity deduplication is a relevant task already studied in the recent literature. Most methods can be traced back to the following workflow: entity blocking phase, in-block pairwise comparisons between entities to draw similarity relations,...

Baglioni M., Mannocci A., Pavone G., De Bonis M., Manghi P.: "(Semi) automated disambiguation of scholarly repositories",

The full exploitation of scholarly repositories is pivotal in modern Open Science, and scholarly repository registries are kingpins in enabling researchers and research infrastructures to list and search for suitable repositories. However, since...

De Bonis M., Falchi F., Manghi P.: "Graph-based methods for Author Name Disambiguation: a survey", PeerJ Computer Science, 9, e1536

Scholarly knowledge graphs (SKG) are knowledge graphs representing research-related information, powering discovery and statistics about research impact and trends. Author name disambiguation (AND) is required to produce high-quality SKGs, as a...

De Bonis M., Falchi F., Manghi P.: "Graph-based methods for Author Name Disambiguation: a survey", PeerJ Computer Science, 9, e1536

Scholarly knowledge graphs (SKG) are knowledge graphs representing research-related information, powering discovery and statistics about research impact and trends. Author name disambiguation (AND) is required to produce high-quality SKGs, as a...

Gentili, A., Bresciani, M., Ruscio, F., Tani, S., Caiti, A., & Costanzi, R. (2023). Detection and classification of man-made objects for the autonomy of underwater robots. IFAC-PapersOnLine, 56(2), 5741-5746.

Cooperation among heterogeneous marine vehicles can offer several benefits to underwater applications, such as supporting the navigation of submerged robots by leveraging the information available to a surface vehicle. Within such context, this paper...

Bresciani, M., Tani, S., Bazzarello, L., Caiti, A., & Costanzi, R. (2023). Acoustic positioning of multiple AUVs by an ASV: experimental validation and performance characterisation. IFAC-PapersOnLine, 56(2), 5753-5758.

Cooperation among heterogeneous marine vehicles can offer several benefits to underwater applications, such as supporting the navigation of submerged robots by leveraging the information available to a surface vehicle. Within such context, this paper...

Tani, S., Ruscio, F., Bresciani, M., & Costanzi, R. (2023, June). Comparison of Monocular and Stereo Vision approaches for Structure Inspection using Autonomous Underwater Vehicles. In OCEANS 2023-Limerick (pp. 1-7). IEEE.

Periodical inspections are a fundamental operation to monitor the status of underwater structures and to assess their need for proper maintenance or repair interventions. Autonomous Underwater Vehicles (AUVs) could represent a viable option to carry...

Ruscio, F., Tani, S., Bresciani, M., & Costanzi, R. (2023, June). Dealing with Feature Correspondence in Visual Odometry for Underwater Applications. In OCEANS 2023-Limerick (pp. 1-8). IEEE.

This paper proposes an evaluation of the impact of the 2D feature correspondence stage on an underwater vision-based navigation solution using a monocular Visual Odometry (VO) algorithm for linear velocity estimation. In particular, this work compares...

Tani, S., Ruscio, F., Bresciani, M., Nordfeldt, B. M., Bonin-Font, F., & Costanzi, R. (2023). Development and testing of a navigation solution for Autonomous Underwater Vehicles based on stereo vision. Ocean Engineering, 280, 114757.

Autonomous Underwater Vehicles (AUVs) employed for inspection and monitoring applications require a reliable estimate of their navigation status to successfully accomplish the scheduled mission. Considering that they are typically endowed with vision...

Bresciani, M., Tani, S., Ruscio, F., Zacchini, L., Bartalucci, L., Ridolfi, A., ... & Costanzi, R. Impact of Natural Gas Seeps on the Navigation of an Autonomous Underwater Vehicle. In 2022 IEEE/OES Autonomous Underwater Vehicles Symposium

Oceans preservation and protection have become increasingly relevant topics to tackle climate change. To this end, Autonomous Underwater Vehicles (AUVs) provide a useful means to carry out inspection and monitoring operations in full autonomy. A...

Tani, S., Ruscio, F., Bresciani, M., Caiti, A., & Costanzi, R. (2022). Stereo Vision System for Autonomous Ship Hull Inspection. IFAC-PapersOnLine, 55(31), 375-380.

The periodical hull inspection represents a necessary task to ensure the maintenance of a vessel since it allows to counteract decay, check for structural damages, and fight the biofouling phenomenon affecting the navigation efficiency. Typically, this...

Ruscio, F., Tani, S., Bresciani, M., Caiti, A., & Costanzi, R. (2022). Visual-based Navigation Strategy for Autonomous Underwater Vehicles in Monitoring Scenarios. IFAC-PapersOnLine, 55(31), 369-374.

Autonomous Underwater Vehicles (AUVs) performing visual surveys aimed at the preservation of marine environments are equipped with optical sensors for image acquisition. In addition, an altitude sensor is usually installed on-board to control the...

L. Borgianni, D. Adami and S. Giordano, "Optimizing Network Performance and Reliability with an Integrated SD-WAN and Satellite 6G Architecture," 2023 2nd International Conference on 6G Networking (6GNet), Paris, France, 2023, pp. 1-4, doi: 10.1109/6

Integrating Software-Defined Wide Area Networking (SD-WAN) and Satellite 6G can provide a new architecture offering improved performance and reliability for various applications. SD-WAN provides a flexible and efficient system to manage network traffic...

L. A. De Santi, F. Bargagna, M. F. Santarelli, V. Positano: “Evaluating explanations of an Alzheimer's Disease 18F-FDG Brain PET black-box classifier”, xAI 2023. Communications in Computer and Information Science, vol 1901. Springer (2023)

eXplainable Artificial Intelligence (XAI) has been increasingly applied to interpret Deep Neural Networks (DNN) in medical imaging applications, but a general consensus about the best interpretation strategy is missing. This is also due to the absence...

PhD Forum Abstract: Efficient Computing and Communication Paradigms for Federated Learning Data Streams