Risultati di ricerca
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F. Minutella, M. De Bonis, F. Falchi, P. Manghi, N. Messina: "Towards unsupervised machine learning approaches for knowledge graphs", IRCDL 2022 - 18th Italian Research Conference on Digital Libraries
Content: Nowadays, a lot of data is in the form of Knowledge Graphs aiming at representing information as a set of nodes and relationships between them. This paper proposes an efficient framework to create informative embeddings for node classification...
https://phd.dii.unipi.it/pubblicazioni/item/4985-f-minutella,-m-de-bonis,-f-falchi,-p-manghi,-n-messina-towards-unsupervised-machine-learning-approaches-for-knowledge-graphs-,-ircdl-2022-18th-italian-research-conference-on-digital-libraries.html -
M. De Bonis, P. Manghi, C. Atzori: "FDup: a framework for general-purpose and efficient entity deduplication of record collections. PeerJ Computer Science"
Content: Deduplication is a technique aiming at identifying and resolving duplicate metadata records in a collection. This article describes FDup (Flat Collections Deduper), a general-purpose software framework supporting a complete deduplication...
https://phd.dii.unipi.it/pubblicazioni/item/4984-m-de-bonis,-p-manghi,-c-atzori-fdup-a-framework-for-general-purpose-and-efficient-entity-deduplication-of-record-collections-peerj-computer-science.html -
A survey of blockchain-based IoT eHealthcare: Applications, research issues, and challenges
Blockchain (BC) technology has recently emerged as an essential component for different applications, including healthcare and IoT, because of its decentralized ledger, source provenance, and tamper-proof nature. The Internet of Things (IoT) and BC...
https://phd.dii.unipi.it/publications/item/4981-https-www-sciencedirect-com-science-article-pii-s2542660522000506.html -
COVID-19 Cases Detection from Chest X-Ray Images using CNN based Deep Learning Model
COVID-19 has recently manifested as one of the most serious life-threatening infections and is still circulating globally. COVID-19 can be contained to a considerable extent if a patient can know their COVID-19 infection at a possible earlier time, and...
https://phd.dii.unipi.it/publications/item/4980-https-www-proquest-com-docview-2681641801pq-origsite-gscholar-fromopenview-true.html -
Ferrante N., Giuffrida G., Nannipieri P., Bechini A. and Fanucci L. "Fault Detection Exploiting Artificial Intelligence in Satellite Systems" In 2nd International Conference on Applied Intelligence and Informatics, September 2022
Abstract: Mission control and fault management are fundamental in safety-critical scenarios such as space applications. To this extent, fault detection techniques are crucial to meet the desired safety and integrity level. This work proposes a fault...
https://phd.dii.unipi.it/pubblicazioni/item/4976-ferrante-n-,-giuffrida-g-,-nannipieri-p-,-bechini-a-and-fanucci-l-fault-detection-exploiting-artificial-intelligence-in-satellite-systems-in-2nd-international-conference-on-applied-intelligence-and-informatics,-september-2022.html -
G.M. Fortunato, E. Batoni, A.F. Bonatti, G. Vozzi, C. De Maria: "Surface reconstruction and tissue recognition for robotic-based in situ bioprinting", Bioprinting, vol. 26, no. 1, e00195, June 2022
In this study, an innovative approach for the surface reconstruction and mechanical evaluation of anatomical defects for robotic-based in situ bioprinting applications is presented. A touch probe was developed to be used as the end-effector of a 5...
https://phd.dii.unipi.it/publications/item/4974-g-m-fortunato,-e-batoni,-a-f-bonatti,-g-vozzi,-c-de-maria-surface-reconstruction-and-tissue-recognition-for-robotic-based-in-situ-bioprinting-,-bioprinting,-vol-26,-no-1,-e00195,-june-2022.html -
Recursive ESPRIT Algorithm for Multi-User OAM Low-Overhead AoA Estimation
Multi-user orbital angular momentum (MU-OAM) wireless backhaul systems require precise alignment of transmitted and received OAM beams in line-of-sight (LoS) scenarios. Therefore, a crucial feature for a macro base station (MBS) is to accurately obtain...
https://phd.dii.unipi.it/publications/item/4968-recursive-esprit-algorithm-for-multi-user-oam-low-overhead-aoa-estimation.html -
Recursive ESPRIT Algorithm for Multi-User OAM Low-Overhead AoA Estimation
Multi-user orbital angular momentum (MU-OAM) wireless backhaul systems require precise alignment of transmitted and received OAM beams in line-of-sight (LoS) scenarios. Therefore, a crucial feature for a macro base station (MBS) is to accurately obtain...
https://phd.dii.unipi.it/publications/item/4967-recursive-esprit-algorithm-for-multi-user-oam-low-overhead-aoa-estimation.html -
Recursive ESPRIT Algorithm for Multi-User OAM Low-Overhead AoA Estimation
Multi-user orbital angular momentum (MU-OAM) wireless backhaul systems require precise alignment of transmitted and received OAM beams in line-of-sight (LoS) scenarios. Therefore, a crucial feature for a macro base station (MBS) is to accurately obtain...
https://phd.dii.unipi.it/publications/item/4966-recursive-esprit-algorithm-for-multi-user-oam-low-overhead-aoa-estimation.html -
Recursive ESPRIT Algorithm for Multi-User OAM Low-Overhead AoA Estimation
Multi-user orbital angular momentum (MU-OAM) wireless backhaul systems require precise alignment of transmitted and received OAM beams in line-of-sight (LoS) scenarios. Therefore, a crucial feature for a macro base station (MBS) is to accurately obtain...
https://phd.dii.unipi.it/publications/item/4965-recursive-esprit-algorithm-for-multi-user-oam-low-overhead-aoa-estimation.html -
Rossi F., Fiaschi L., Cococcioni C., and Saponara S. Design and fpga synthesis of BAN processing unit for non-Archimedean number crunching. In International Conference Appl. in Electroincs Pervading Industry, 2022. to appeaR
ABSTRACT This work presents the design and synthesis of a processing unit for numbers encoded according to the recently introduced BAN format. Such an encoding allows one to represent numbers which are not only finite (as the reals) but also infinitely...
https://phd.dii.unipi.it/pubblicazioni/item/4973-rossi-f-,-fiaschi-l-,-cococcioni-c-,-and-saponara-s-design-and-fpga-synthesis-of-ban-processing-unit-for-non-archimedean-number-crunching-in-international-conference-appl-in-electroincs-pervading-industry,-2022-to-appear.html -
Lai L., Fiaschi L., Cococcioni C., and Kalyanmoy D. Pure and mixed lexicographic-paretian many-objective optimization: state of the art. Natural Computing, 1:1–16, 2022, doi:10.1007/s11047-022-09911-4.
ABSTRACT This work aims at reviewing the state of the art of the field of lexicographic multi/many-objective optimization. The discussion starts with a review of the literature, emphasizing the numerous application in the real life and the recent burst...
https://phd.dii.unipi.it/pubblicazioni/item/4972-lai-l-,-fiaschi-l-,-cococcioni-c-,-and-kalyanmoy-d-pure-and-mixed-lexicographic-paretian-many-objective-optimization-state-of-the-art-natural-computing,-1-1–16,-2022,-doi-10-1007-s11047-022-09911-4.html -
Cococcioni M., Fiaschi L., and Lambertini L. On impure prisoners’ dilem- mas, folk theorems, and correlation devices. In EARIE 2022 (VIENNA), 2022. to appear.
ABSTRACT As is well known, players involved in a prisoners' dilemma mayAs is well known, players involved in a prisoners' dilemma maysolve it through its repetition over an infinite horizon, provided theirdiscount factors meet the requirement arising...
https://phd.dii.unipi.it/pubblicazioni/item/4971-cococcioni-m-,-fiaschi-l-,-and-lambertini-l-on-impure-prisoners’-dilem-mas,-folk-theorems,-and-correlation-devices-in-earie-2022-vienna-,-2022-to-appear.html -
Cococcioni M., Fiaschi L., and Lermusiaux P. Game theory for unmanned vehicles path planning in the marine domain: state of the art and new possibilities. Journal of Maritime Science and Engineering, 9:1175, 2021, doi:10.3390/jmse9111175
ABSTRACT Thanks to the advent of new technologies and higher real-time computational capabilities, the use of unmanned vehicles in the marine domain has received a significant boost in the last decade. Ocean and seabed sampling, missions in dangerous...
https://phd.dii.unipi.it/pubblicazioni/item/4969-cococcioni-m-,-fiaschi-l-,-and-lermusiaux-p-game-theory-for-unmanned-vehicles-path-planning-in-the-marine-domain-state-of-the-art-and-new-possibilities-journal-of-maritime-science-and-engineering,-9-1175,-2021,-doi-10-3390-jmse9111175.html -
Moglioni M., Kraan A. C., et al. "In-vivo range verification analysis with in-beam PET data for patients treated with proton therapy at CNAO". In: Frontiers in Oncology
Nome Journal: Frontiers in oncology Data pubblicazione: 26 September 2022 Autori: Martina Moglioni, Aafke Christine Kraan, Guido Baroni, Giuseppe Battistoni, Nicola Belcari, Andrea Berti, Pietro Carra, Piergiorgio Cerello, Mario Ciocca, Angelica De...
https://phd.dii.unipi.it/publications/item/4963-moglioni-m-et-al-in-vivo-range-verification-analysis-with-in-beam-pet-data-for-patients-treated-with-proton-therapy-at-cnao-in-frontiers-in-oncology.html -
Kraan A. C., Berti A., Retico A., et al. "Localization of anatomical changes in patients during proton therapy with in-beam PET monitoring: A voxel-based morphometry approach exploiting Monte Carlo simulations". In: MEDICAL PHYSICS
Nome Journal: Medical Physics Data pubblicazione:23 November 2021 Autori: Aafke Christine Kraan, Andrea Berti, Alessandra Retico, Guido Baroni, Giuseppe Battistoni, Nicola Belcari, Piergiorgio Cerello, Mario Ciocca, Micol De Simoni, Damiano Del Sarto,...
https://phd.dii.unipi.it/publications/item/4962-kraan-a-c-,-berti-a-,-retico-a-,-et-al-localization-of-anatomical-changes-in-patients-during-proton-therapy-with-in-beam-pet-monitoring-a-voxel-based-morphometry-approach-exploiting-monte-carlo-simulations-in-medical-physics.html -
Berti A. & Carloni G., et al. "Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project" in IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2022
Titolo convegno/congresso: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 27-30/09/2022, Ioannina (Greece). Autori: Andrea Berti (1,2,*), Gianluca Carloni (1,2,*), Sara Colantonio (1), M. Antonietta Pascali (1), Paolo...
https://phd.dii.unipi.it/publications/item/4959-berti-a-carloni-g-,-et-al-data-models-for-an-imaging-bio-bank-for-colorectal,-prostate-and-gastric-cancer-the-navigator-project-in-ieee-embs-international-conference-on-biomedical-and-health-informatics-bhi-2022.html -
Berti A. & Carloni G., et al. "Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project" in IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2022
Titolo convegno/congresso: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 27-30/09/2022, Ioannina (Greece). Autori: Andrea Berti (1,2,*), Gianluca Carloni (1,2,*), Sara Colantonio (1), M. Antonietta Pascali (1), Paolo...
https://phd.dii.unipi.it/publications/item/4957-berti-a-carloni-g-,-et-al-data-models-for-an-imaging-bio-bank-for-colorectal,-prostate-and-gastric-cancer-the-navigator-project-in-ieee-embs-international-conference-on-biomedical-and-health-informatics-bhi-2022.html -
Carloni G. & Berti A., et al. "On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet" in ICPR 2022 International Conference on Pattern Recognition - AIHA 2nd International Workshop, 2022
Titolo convegno/congresso: ICPR 2022 International Conference on Pattern Recognition - Artificial Intelligence for Healthcare Applications 2nd International Workshop Data/e convegno/congresso: 21-25/08/2022 Autori: Gianluca Carloni (1,2,*), Andrea...
https://phd.dii.unipi.it/publications/item/4956-carloni-g-berti-a-,-et-al-on-the-applicability-of-prototypical-part-learning-in-medical-images-breast-masses-classification-using-protopnet-in-icpr-2022-international-conference-on-pattern-recognition-aiha-2nd-international-workshop,-2022.html -
Carloni G. & Berti A., et al. "On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet" in ICPR 2022 International Conference on Pattern Recognition - AIHA 2nd International Workshop, 2022
Titolo del convegno/congresso: ICPR 2022 International Conference on Pattern Recognition - Artificial Intelligence for Healthcare Applications 2nd International Workshop, 21-25/08/2022. Autori: Gianluca Carloni (1,2,*), Andrea Berti (1,2,*), Chiara...
https://phd.dii.unipi.it/publications/item/4955-carloni-g-berti-a-,-et-al-on-the-applicability-of-prototypical-part-learning-in-medical-images-breast-masses-classification-using-protopnet-in-icpr-2022-international-conference-on-pattern-recognition-aiha-2nd-international-workshop,-2022.html
News
- MODIFICA DATE CORSO E AULE - Dario Sabella, Intel Corporation Italia, "Edge Computing technologies and standards toward 5G-Advanced systems: focus on automotive use cases", December 5,6,7,12, 2022
- Modifica Aula - Prof. Michele Conti, Dept. of Civil Engineering and Architecture (DICAr), University of Pavia, Via Ferrata 3, 27100, Italy, "Computer Aided Engineering for (bio)industrial applications", 20-24 February 2023
- Prof. Fabio Paternò, CNR-ISTI – Italy, "End-User Creation and Control of Daily Automations in Intelligent Environments", 7,10,14,17 February 2023
- Dr. Giorgia Montalbano, Politecnico di Torino, Dipartimento di Scienza Applicata e Tecnologia (DISAT), Torino, Italy, "Smart materials for biomedical applications: scaffolds and sensors", January 30 - February 3, 2023
- Prof. Andrea Tomasi, Dipartimento di Ingegneria dell’Informazione – Università di Pisa, "Ethics of Information and Communication Technologies", January 30 - February 2, 2023
