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https://phd.dii.unipi.it/publications/item/4169-e-rapuano,-g-meoni,-t-pacini,-et-al-“an-fpga-based-hardware-accelerator-for-cnns-inference-on-board-satellites-benchmarking-with-myriad-2-based-solution-for-the-cloudscout-case-study”,-mdpi-remote-sensing-journal,-april-2021.html
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https://phd.dii.unipi.it/publications/item/4168-c-comino,-t-pacini,-e-rapuano-“design-and-implementation-of-an-fpga-based-cnn-hardware-accelerator-using-partial-reconfigurability-the-cloudscout-case-study”,-applepies-2021.html
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https://phd.dii.unipi.it/publications/item/4167-g-giuffrida,-s-panicacci,-m-donati,-l-fanucci,-assisted-driving-for-power-wheelchair-a-segmentation-network-for-obstacle-detection-on-nvidia-jetson-nano-,-applepies-2021.html
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https://phd.dii.unipi.it/publications/item/4166-s-panicacci,-g-giuffrida,-m-donati,-,-l-fanucci,-enhancing-a-telemedicine-platform-with-global-navigation-satellite-system-technology-and-clustering-algorithms-for-supporting-epidemiological-analysis-,-2021-ieee-icetci.html
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https://phd.dii.unipi.it/publications/item/4165-m-donati,-s-panicacci,-,-l-fanucci,-s-saponara,-exploiting-biomedical-sensors-for-a-home-monitoring-system-for-paediatric-patients-with-congenital-heart-disease-,-technologies-2021,-9,-56.html
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https://phd.dii.unipi.it/publications/item/4164-s-panicacci,-g-giuffrida,-m-donati,-a-lubrano,-a-ruiu,-l-fanucci,-empowering-home-health-monitoring-of-covid-19-patients-with-smartwatch-position-and-fitness-tracking-,-2021-ieee-34th-cbms.html
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https://phd.dii.unipi.it/publications/item/4163-s-panicacci,-m-donati,-a-lubrano,-a-vianello,-a-ruiu,-l-fanucci,-telemonitoring-in-the-covid-19-era-the-tuscany-region-experience-,-healthcare-2021,-9,-516.html
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https://phd.dii.unipi.it/publications/item/4162-g-falzone,-g-giuffrida,-s-panicacci,-m-donati,-l-fanucci,-simulation-framework-to-train-intelligent-agents-towards-an-assisted-driving-power-wheelchair-for-people-with-disability-,-proceedings-of-the-13th-icaart-2021.html
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https://phd.dii.unipi.it/publications/item/4161-m-marini,-s-panicacci,-m-donati,-l-fanucci,-et-al-,-an-easily-integrable-industrial-system-for-gamma-spectroscopic-analysis-and-traceability-of-stones-and-building-materials-,-sensors-2021,-21,-352.html
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https://phd.dii.unipi.it/publications/item/4160-s-panicacci,-m-donati,-f-profili,-p-francesconi,-l-fanucci,-trading-off-machine-learning-algorithms-towards-data-driven-administrative-socio-economic-population-health-management-,-computers-2021,-10,-4.html
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Abstract: Nowadays, two groundbreaking factors are emerging in neural networks. Firstly, there is the RISC-V open instruction set architecture (ISA) that allows a seamless implementation of custom instruction sets. Secondly, there are several novel...
https://phd.dii.unipi.it/pubblicazioni/item/4159-m-cococcioni,-f-rossi,-e-ruffaldi-and-s-saponara-{a-lightweight-posit-processing-unit-for-risc-v-processors-in-deep-neural-network-applications-transactions-on-emerging-topics-in-computing,-accepted.html
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https://phd.dii.unipi.it/publications/item/4127-n-bonelli,-f-del-vigna,-a-fais,-g-lettieri,-g-procissi-programming-socket-independent-network-functions-with-nethuns-,-2022,-acm-sigcomm-computer-communication-review-ccr-,-vol-52,-issue-2,-pages-35-48-doi-10-1145-3544912-3544917.html
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https://phd.dii.unipi.it/pubblicazioni/item/4126-m-franchi,-a-bucci,-l-zacchini,-a-ridolfi,-m-bresciani,-g-peralta-and-r-costanzi,-maximum-a-posteriori-estimation-for-auv-localization-with-usbl-measurements”,-ifac-cams-2021.html
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https://phd.dii.unipi.it/pubblicazioni/item/4125-bresciani,-peralta,-ruscio,-costanzi,-zacchini,-franchi,-topini,-ridolfi,-bazzarello,-manzari,-krupinksi,-maurelli,-localisation-approaches-for-underwater-autonomy-within-the-eumarinerobots-h2020-project-experimental-activity-at-sealab”,-oceans-2021.html
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https://phd.dii.unipi.it/pubblicazioni/item/4123-m-bresciani,-g-peralta,-f-ruscio,-l-bazzarello,-a-caiti-and-r-costanzi-cooperative-asv-auv-system-exploiting-active-acoustic-localization”,-iros-2021.html
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https://phd.dii.unipi.it/pubblicazioni/item/4124-m-bresciani,-g-peralta,-f-ruscio,-s-tani,-v-manzari,-l-bazzarello,-a-caiti-and-r-costanzi-asv-acoustically-tracking-and-following-an-auv-preliminary-experimental-evaluation”,-oceans-porto-2021.html
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Bitcoin-based smart city services are an ever increasing up-and-coming reality. For these services, simulating the Bitcoin blockchain is important to parametrize the system and tailor the costs and the economic incentives. In this regard, SimBlock...
https://phd.dii.unipi.it/pubblicazioni/item/4118-m-basile,-g-nardini,-p-perazzo-and-g-dini,-on-improving-simblock-blockchain-simulator-,-2021-ieee-symposium-on-computers-and-communications-iscc-,-2021.html
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Abstract This work reports an innovative approach toward the development of tactile sensors based on electrical impedance tomography. Our approach couples the implementation of the forward model through a physics-based general purpose FEM software and...
https://phd.dii.unipi.it/publications/item/4113-n-biasi,-n-carbonaro,-l-arcarisi,-and-a-tognetti-combining-physics-based-simulation-and-machine-learning-for-eit-based-tactile-sensing-2020-ieee-sensors-ieee,-2020.html
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Abstract We developed a three-dimensional finite element model of the electrical activity of the whole heart embedded in the torso that is proposed as an useful tool to simulate ECG signals both in healthy and pathological conditions. The electrical...
https://phd.dii.unipi.it/publications/item/4112-n-biasi,-and-a-tognetti-3d-model-of-the-heart-electrical-activity-with-heterogeneous-ventricular-action-potentials-2020-computing-in-cardiology-ieee,-2020.html
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Abstract We developed a finite element model of the electrical activity of the whole heart embedded in the torso that is proposed as an useful tool to simulate myocardial ischemia and cardiac pacing. The electrical activity of the cardiac tissue is...
https://phd.dii.unipi.it/publications/item/4110-n-biasi,-and-a-tognetti-modelling-whole-heart-electrical-activity-for-ischemia-and-cardiac-pacing-simulation-health-and-technology-10-4-2020-837-850.html