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Heart diseases are one of the commonest causes of death worldwide. These include valve pathologies such as valve stenosis, regurgitation, failure and similar, for which usually a valve substitution procedure is required. Different prosthesis...
https://phd.dii.unipi.it/pubblicazioni/item/2917-test-and-numerical-simulations-,-international-journal-of-polymeric-metarials-and-polymeric-biomaterials,-68-1-3-1-10,-2019.html
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The left atrial appendage (LAA) is responsible for thrombus formation in patients with atrial fibrillation. The evaluation of both LAA function and morphology is crucial for the patient characterization and the preprocedural planning of LAA closure...
https://phd.dii.unipi.it/pubblicazioni/item/2915-g-vivoli,-e-gasparotti,-m-rezzaghi,-e-cerone,-m-mariani,-l-landini,-s-berti,-v-positano,-and-s-celi-“simultaneous-functional-and-morphological-assessment-of-left-atrial-appendage-by-3d-virtual-models”,-journal-of-healthcare-engineering,2019.html
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The left atrial appendage (LAA) is responsible for thrombus formation in patients with atrial fibrillation. The evaluation of both LAA function and morphology is crucial for the patient characterization and the preprocedural planning of LAA closure...
https://phd.dii.unipi.it/pubblicazioni/item/2916-g-vivoli,-e-gasparotti,-m-rezzaghi,-e-cerone,-m-mariani,-l-landini,-s-berti,-v-positano,-and-s-celi-“simultaneous-functional-and-morphological-assessment-of-left-atrial-appendage-by-3d-virtual-models”,-journal-of-healthcare-engineering,2019.html
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Abstract: Computational fluid dynamics (CFD) and 4D-flow magnetic resonance imaging (MRI) are synergically used for the simulation and the analysis of the flow in a patient-specific geometry of a healthy thoracic aorta. CFD simulations are carried out...
https://phd.dii.unipi.it/publications/item/2914-a-boccadifuoco,-a-mariotti,-k-capellini,-s-celi,-and-m-v-salvetti-“validation-of-numerical-simulations-of-thoracic-aorta-hemodynamics-comparison-with-in-vivo-measurements-and-stochastic-sensitivity-analysis-”-cardiovasc-eng-technol-2018.html
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Abstract: SoBigData is a Research Infrastructure (RI) aiming to provide an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining. A key milestone of the project focuses on data, methods and...
https://phd.dii.unipi.it/publications/item/2908-s-cresci,-s-minutoli,-l-nizzoli,-s-tardelli,-m-tesconi-“enriching-digital-libraries-with-crowdsensed-data”,-italian-research-conference-on-digital-libraries-ircdl’19-,-january-2019.html
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Abstract: Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by bots and...
https://phd.dii.unipi.it/publications/item/2906-s-cresci,-f-lillo,-d-regoli,-s-tardelli,-m-tesconi-“cashtag-piggybacking-uncovering-spam-and-bot-activity-in-stock-microblogs-on-twitter”,-acm-transactions-on-the-web-tweb-,-13-2-,-11,-april-2019.html
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Abstract: Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by bots and...
https://phd.dii.unipi.it/publications/item/2907-s-cresci,-f-lillo,-d-regoli,-s-tardelli,-m-tesconi-“cashtag-piggybacking-uncovering-spam-and-bot-activity-in-stock-microblogs-on-twitter”,-acm-transactions-on-the-web-tweb-,-13-2-,-11,-april-2019.html
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In this paper, a novel architecture of Recurrent Neural Network (RNN) is designed and experimented. The proposed RNN adopts a computational memory based on the concept of stigmergy. The basic principle of a Stigmergic Memory (SM) is that the activity...
https://phd.dii.unipi.it/pubblicazioni/item/2905-federico-a-galatolo,-mario-g-c-a-cimino,-gigliola-vaglini-using-stigmergy-as-a-computational-memory-in-the-design-of-recurrent-neural-networks.html
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A current research trend in neurocomputing involves the design of novel artificial neural networks incorporating the concept of time into their operating model. In this paper, a novel architecture that employs stigmergy is proposed. Computational...
https://phd.dii.unipi.it/pubblicazioni/item/2904-federico-a-galatolo,-mario-g-c-a-cimino,-gigliola-vaglini-using-stigmergy-to-incorporate-the-time-into-artificial-neural-networks.html
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Abstract: The Industrial Internet of Things (IIoT) will lever- age on wireless network technologies to integrate in a seam- less manner Cyber-Physical systems into existing information systems. In this context, the 6TiSCH architecture, proposed by...
https://phd.dii.unipi.it/publications/item/2903-d-fanucchi,-f-righetti,-c-vallati,-b-staehle,-g-anastasi,-“improving-link-quality-estimation-accuracy-in-6tisch-networks”,-ieee-international-conference-on-internet-of-things-systems,-management-and-security-iotsms-2019-,-granada,-spain,-2019.html
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https://phd.dii.unipi.it/publications/item/2895-mulfari,-d-,-mulfari,-s-2018,-november-assistive-technologies-to-support-distance-learning-for-students-with-disabilities-in-proceedings-of-the-4th-eai-international-conference-on-smart-objects-and-technologies-for-social-good-pp-312-313-a.html
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https://phd.dii.unipi.it/publications/item/2894-mulfari,-d-,-meoni,-g-,-fanucci,-l-2018,-november-machine-learning-in-assistive-te-chnology-a-solution-for-people-with-dysarthria-in-proceedings-of-the-4th-eai-international-conference-on-smart-objects-and-technologies-for-social-good-pp-3.html
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https://phd.dii.unipi.it/publications/item/2893-mulfari,-d-,-meoni,-g-,-marini,-m-,-fanucci,-l-2019-a-machine-learning-assistive-solution-for-users-with-dysarthria,-technology-and-disability,-31,-s137-s146.html
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https://phd.dii.unipi.it/publications/item/2892-bruneo,-d-,-distefano,-s-,-giacobbe,-m-,-minnolo,-a-l-,-longo,-f-,-mulfari,-d-,-et-al-2019-an-iot-service-ecosystem-for-smart-cities-the-smartme-project-internet-of-things,-5,-12-33.html
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https://phd.dii.unipi.it/pubblicazioni/item/2890-g-dinelli,-g-meoni,-p-nannipieri,-l-dello-sterpaio,-a-marino,-l-fanucci-integration-of-a-spacefibre-ip-core-with-the-leon3-microprocessor-through-an-amba-ahb-bus-,-int-appleplies-workshop.html
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https://phd.dii.unipi.it/pubblicazioni/item/2889-d-mulfari,-g-meoni,-m-marini,-l-fanucci-“a-machine-learning-assistive-solution-for-users-with-dysarthria”,-aaate-conf-2019,-bologna,-italy,-27-30-august-2019.html
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https://phd.dii.unipi.it/pubblicazioni/item/2888-g-giuffrida,-g-meoni,-l-fanucci-a-yolov2-convolutional-neural-network-based-human–machine-interface-for-the-control-of-assistive-robotic-manipulators-applied-sciences-9-11-2019-2243.html
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https://phd.dii.unipi.it/pubblicazioni/item/2887-g-meoni,-g-giuffrida,-l-fanucci-a-high-throughput-hardware-architecture-for-parallel-recursive-systematic-convolutional-encoders-information-10-4-2019-151.html
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https://phd.dii.unipi.it/pubblicazioni/item/2886-g-dinelli,-g-meoni,-e-rapuano,-g-benelli,-l-fanucci-a-fpga-based-hardware-accelerator-for-cnns-using-on-chip-memories-only-design-and-benchmarking-with-intel-movidius-neural-compute-stick-,-international-journal-of-reconfigurable-computing.html
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https://phd.dii.unipi.it/publications/item/2885-e-vignali,-f-poli,-f-di-bartolo,-e-gasparotti,-a-malacarne,-v-positano,-l-landini,-s-celi-“biaxial-and-optomechanical-characterization-of-soft-tissues-a-novel-setup-and-experimental-tests”,-esb-ita-meeting-2019,-september-2019.html