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https://phd.dii.unipi.it/publications/item/5158-tani-s-,-ruscio-f-,-bresciani-m-,-costanzi-r-,-caiti-a-2022-visual-inspection-of-underwater-structures-using-an-auv-a-preliminary-simulative-evaluation-21st-international-conference-on-computer-and-it-applications-in-the-maritime-industries-comp.html
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https://phd.dii.unipi.it/publications/item/5157-bazzarello-l-,-terracciano-d-,-manzari-v-,-bresciani-m-,-cannarsa-f-,-tesei-a-,-costanzi-r-,-cai-ti-a-,-stifani-m-2022-remote-passive-acoustic-barrier-with-maritime-unmanned-systems-prelim-inary-tests-during-repmus-21-in-technology-and-science.html
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https://phd.dii.unipi.it/publications/item/5159-bazzarello-l-,-pulpito-o-,-cannarsa-f-,-bresciani-m-,-costanzi-r-,-acito-n-,-diani-m-,-corsini-g-,-caiti-a-2022-anomaly-detection-in-sonar-images-application-of-saliency-filters-in-2022-ieee-in-ternational-workshop-on-metrology-for-the-sea,-metr.html
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High performance applications usually need to give many hints to the OS kernel regarding their needs. For example, CPU affinity is commonly used to pin processes to cores and avoid the cost of CPU migration, isolate performance critical tasks, bring...
https://phd.dii.unipi.it/pubblicazioni/item/5156-leonardi,-l-,-lettieri,-g-,-pellicci,-g-ebpf-based-extensible-paravirtualization-isc-high-performance-2022-international-workshops-lecture-notes-in-computer-science,-vol-13387-springer,-cham.html
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Abstract: In this work, we present a novel method for directly computing functions of two real numbers using logic circuits without decoding; the real numbers are mapped to a particularly-chosen set of integer numbers. We theoretically prove that this...
https://phd.dii.unipi.it/pubblicazioni/item/5147-j-l-gustafson,-m-cococcioni,-f-rossi,-e-ruffaldi-and-s-saponara-decoding-free-two-input-arithmetic-for-low-precision-real-numbers-,-conga-23,-accepted.html
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https://phd.dii.unipi.it/publications/item/5108-m-falchi,-s-rotundo,-d-brizi-and-a-monorchio,-non-destructive-sensing-evaluations-by-using-a-passive-magnetic-metasurface,-2022-ieee-international-symposium-on-antennas-and-propa-gation-and-usnc-ursi-radio-science-meeting-ap-s-ursi-,-2022.html
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https://phd.dii.unipi.it/publications/item/5107-m-falchi,-s-rotundo,-d-brizi-and-a-monorchio,-a-design-methodology-for-response-controlled-passive-magnetic-metasurfaces,-2022-16th-european-conference-on-antennas-and-propagation-eucap-,-2022,-pp-1-3,-doi-10-23919-eucap53622-2022-9769304.html
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Digital designs complexity has exponentially increased in the last decades. Heterogeneous Systems-on-Chip integrate many different hardware components which require a reliable and scalable verification environment. The effort to set up such...
https://phd.dii.unipi.it/publications/item/5106-zulberti,-l-di-matteo,-s-nannipieri,-p-saponara,-s-fanucci,-l-a-script-based-cycle-true-verification-framework-to-speed-up-hardware-and-software-co-design-performance-evaluation-on-ecc-accelerator-use-case-electronics-2022,-11,-3704.html
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Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work as black-box systems....
https://phd.dii.unipi.it/pubblicazioni/item/5098-l-a-de-santi,-e-pasini,-m-f-santarelli,-et-al-an-explainable-convolutional-neural-network-for-the-early-diagnosis-of-alzheimer’s-disease-from-18f-fdg-pet-j-digit-imaging-2022.html
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Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work as black-box systems....
https://phd.dii.unipi.it/pubblicazioni/item/5099-l-a-de-santi,-e-pasini,-m-f-santarelli,-et-al-an-explainable-convolutional-neural-network-for-the-early-diagnosis-of-alzheimer’s-disease-from-18f-fdg-pet-j-digit-imaging-2022.html
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Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work as black-box systems....
https://phd.dii.unipi.it/pubblicazioni/item/5100-https-link-springer-com-article-10-1007-s10278-022-00719-3-abs1.html
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Automatic target recognition (ATR), both for optical and E.M. images, has been a subject of great interest since the last 20 years. The deep learning breakthrough allowed researchers to improve feature extractors by increasing their complexity and...
https://phd.dii.unipi.it/pubblicazioni/item/5082-g-meucci,-s-ghio,-e-giusti,-m-martorella-radar-target-recognition-based-on-open-set-yolo.html
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In recent years, FPGAs have demonstrated remarkable performance and contained power consumption for the on-the-edge inference of Convolutional Neural Networks. One of the main challenges in implementing this class of algorithms on board an FPGA is...
https://phd.dii.unipi.it/publications/item/5080-t-pacini,-e-rapuano,-g-dinelli,-l-fanucci-a-multi-cache-system-for-on-chip-memory-optimizations-in-fpga-based-cnn-accelerators-,-mdpi-electronics-jorunal,-october-2021.html
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Dysarthria is a motor disorder of speech characterized by alterationDysarthria is a motor disorder of speech characterized by alterationof articulation and intelligibility of speech. The goal of dysarthriamanagement is to optimize communication...
https://phd.dii.unipi.it/publications/item/5079-a-clinical-tool-for-prognosis-and-speech-rehabilitation-in-dysarthric-patients-the-desire-project.html
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Abstract—Among the recent investigations in upper-limb pros- theses, the research still focuses on exploring new control solu- tions to reduce the user’s mental fatigue and improve the control’s robustness and intuitiveness. Some studies present...
https://phd.dii.unipi.it/publications/item/5078-an-approach-to-exploit-compensatory-motions-in-upper-limb-prostheses-control.html
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https://phd.dii.unipi.it/pubblicazioni/item/5077-considerations-on-possible-approaches-to-measure-risk-for-obstacle-avoidance.html
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https://phd.dii.unipi.it/publications/item/5075-experimental-pshychophysical-charcterization-and-validation-of-sound-exciter-vibrotactile-actuators-in-haptics.html
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https://phd.dii.unipi.it/publications/item/5074-experimental-pshychophysical-charcterization-and-validation-of-sound-exciter-vibrotactile-actuators-in-haptics.html
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https://phd.dii.unipi.it/pubblicazioni/item/5076-experimental-pshychophysical-charcterization-and-validation-of-sound-exciter-vibrotactile-actuators-in-haptics.html
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Abstract: SpaceWire (SpW) devices are widely used in space applications on-board satellites. Their verification is fundamental because it ensures that the Design Under Test (DUT) is bug-free, without the risk of compromising an entire space mission. In...
https://phd.dii.unipi.it/publications/item/5073-s-vagaggini,-m-trafeli,-d-davalle,-r-ciardi,-l-santos,-p-nannipieri,-l-fanucci,-spacewire-codec-vip-an-innovative-architecture-of-uvm-based-verification-environment-,-in-proc-of-international-spacewire-and-spacefibre-conference-2022.html