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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
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https://phd.dii.unipi.it/publications/item/2884-f-di-bartolo,-e-vignali,-a-malacarne,-e-gasparotti,-v-positano,-l-landini,-s-celi-“optomechan-ical-characterization-of-soft-biological-tissues-an-integration-of-biaxial-test-and-sals-technique”,-20th-congress-of-esb,-july-2019.html
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In this paper, we present a real-time pedestrian detection system that has been trained using a virtual environment. This is a very popular topic of research having endless practical applications and recently, there was an increasing interest in deep...
https://phd.dii.unipi.it/publications/item/2883-g-amato,-l-ciampi,-f-falchi,-c-gennaro,-n-messina-learning-pedestrian-detection-from-virtual-worlds-,-international-conference-on-image-analysis-and-processing-iciap-,-september-2019.html
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The integration of mobile and ubiquitous computing with deep learning methods is a promising emerging trend that aims at moving the processing task closer to the data source rather than bringing the data to a central node. The advantages of this...
https://phd.dii.unipi.it/publications/item/2879-g-amato,-l-ciampi,-f-falchi,-c-gennaro-counting-vehicles-with-deep-learning-in-onboard-uav-imagery-,-ieee-symposium-on-computers-and-communication-iscc-,-june-july-2019.html
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https://phd.dii.unipi.it/publications/item/2882-g-amato,-p-bolettieri,-d-moroni,-f-carrara,-l-ciampi,-g-pieri,-c-gennaro,-g-r-leone,-c-vairo-a-wireless-smart-camera-network-for-parking-monitoring-,-ieee-globecom-workshops-gc-wkshps-,-december-2018.html
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This paper aims to develop a method that can accurately count vehicles from images of parking areas captured by smart cameras. To this end, we have proposed a deep learning-based approach for car detection that permits the input images to be of...
https://phd.dii.unipi.it/publications/item/2881-l-ciampi,-g-amato,-f-falchi,-c-gennaro,-f-rabitti-counting-vehicles-with-cameras-,-italian-symposium-on-advanced-database-systems-sebd-,-june-2018.html
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... Circuits”, ACS Nano, Nov. 2018
https://phd.dii.unipi.it/publications/item/2878-all-2d-material-inkjet-printed-capacitors-toward-fully-printed-integrated-circuits.html
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We present a novel framework for the fluid dynamics analysis of healthy subjects and patients affected by ascending thoracic aorta aneurysm (aTAA). Our aim is to obtain indications about the effect of a bulge on the hemodynamic environment at different...
https://phd.dii.unipi.it/pubblicazioni/item/2875-k-capellini,-e-vignali,-e-costa,-e-gasparotti,-m-e-biancolini,-l-landini,-v-positano,-s-celi-computational-fluid-dynamic-study-for-ataa-hemodynamics-an-integrated-image-based-and-rbf-mesh-morphing-approach-,-j-biomech-eng,-2018-jul-23.html
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[...] test and numerical simulations", International Journal of Polymeric Metarials and Polymeric Biomaterials, 68(1-3) 1-10. *equal contribution Heart diseases are one of the commonest causes of death worldwide. These include valve pathologies such as...
https://phd.dii.unipi.it/pubblicazioni/item/2874-e-gasparotti-,-e-vignali-,-p-losi,-b-m-fanni,-m-scatto,-l-landini,-v-positano,-s-celi-a-3d-printed-melt-compounded-antibiotic-loaded-thermoplastic-polyurethane-heart-valve-ring-design-an-integrated-framework-of-experimental-material-tests.html
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The development of accurate replicas of the circulatory and cardiac system is fundamental for a deeper understanding of cardiovascular diseases and the testing of new devices. Although numerous works concerning mock circulatory loops are present in the...
https://phd.dii.unipi.it/pubblicazioni/item/2873-e-vignali,-z-manigrasso,-e-gasparotti,-b-biffi,-l-landini,-v-positano,-c-capelli,-s-celi-design,-simulation,-and-fabrication-of-a-three-dimensional-printed-pump-mimicking-the-left-ventricle-motion-,-int-j-artif-organs,-42-10-539-547.html
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https://phd.dii.unipi.it/pubblicazioni/item/2871-l-benvenuti,-a-catania,-m-cicalini,-a-ria,-m-piotto-and-p-bruschi,-a-0-3-v-15-nw-69-db-sndr-inverter-based-δ∑-modulator-in-0-18-μm-cmos,-2019-15th-conference-on-ph-d-research-in-microelectronics-and-electronics-prime-,-lausanne,-switzerland,.html
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https://phd.dii.unipi.it/pubblicazioni/item/2870-a-ria,-a-catania,-m-cicalini,-l-benvenuti,-m-piotto-and-p-bruschi,-a-sub-1v-cmos-switched-capacitor-voltage-reference-with-high-output-current-capability,-2019-15th-conference-on-ph-d-research-in-microelectronics-and-electronics-prime-,-laus.html
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https://phd.dii.unipi.it/pubblicazioni/item/2869-a-two-stage-switched-capacitor-integrator-for-high-gain-inverter-like-architectures.html