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This paper presents the implementation of a Software Defined Radio receiver in compliance with the CCSDS 131.2-B standard. Such standard has been defined for all the missions which require high data rate transmissions, especially for Earth Observation...
https://phd.dii.unipi.it/pubblicazioni/item/5814-r-ciardi,-g-giuffrida,-m-bertolucci,-l-fanucci-a-software-defined-radio-for-ccsds-131-2-b-protocol-exploiting-graphic-processing-unit-accelerator-for-high-performance-data-reception-,-in-proceedings-of-edhpc-2023.html
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https://phd.dii.unipi.it/pubblicazioni/item/5808-gioia,-f-,-nardelli,-m-,-scilingo,-e-p-,-greco,-a-2023-investigating-the-physiology-behind-nose-thermal-response-to-stress-a-cross-mapping-approach-in-2023-ieee-medicon-and-cmbebih-conference-2023.html
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https://phd.dii.unipi.it/pubblicazioni/item/5807-gioia,-f-,-nardelli,-m-,-scilingo,-e-p-,-greco,-a-2023-autonomic-regulation-of-facial-temperature-during-stress-a-cross-mapping-analysis-sensors,-23-14-,-6403.html
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Deep neural networks (DNNs) have already impacted the field of medicine in data analysis, classification, and image processing. Unfortunately, their performance is drastically reduced when datasets are scarce in nature (e.g., rare diseases or...
https://phd.dii.unipi.it/publications/item/5796-f-bargagna,-l-a-de-santi-et-al-bayesian-convolutional-neural-networks-in-medical-imaging-classification-a-promising-solution-for-deep-learning-limits-in-data-scarcity-scenarios-,-journal-of-digital-imaging,-online.html
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Nowadays, General Purpose computing on Graphic Processing Unit (GPGPU) is deeply exploited in many application fields due to its high versatility and energy efficiency. Over the past decade, different solutions have been proposed to implement an...
https://phd.dii.unipi.it/pubblicazioni/item/5787-g-todaro,-m-monopoli,-g-benelli,-l-zulberti-and-t-pacini,-enhanced-soft-gpu-architecture-for-fpgas,-2023-18th-conference-on-ph-d-research-in-microelectronics-and-electronics-prime-,-valencia,-spain,-2023,-pp-177-180.html
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Artificial Intelligence has gained widespread adoption across different industrial sectors, serving as a versatile tool to carry out a diverse array of tasks, ranging from image classification and traffic forecasting to natural language processing and...
https://phd.dii.unipi.it/pubblicazioni/item/5786-m-monopoli,-l-zulberti,-p-nannipieri,-l-fanucci-and-s-moranti,-exploring-key-aspects-of-soft-gpgpu-computing-for-on-board-acceleration-of-artificial-intelligence-algorithms-in-space-applications,-edhpc-2023-conference,-juan-les-pins,-france.html
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For many years, General Purpose Computing on Graphic Processing Units has been widely exploited in different fields of application. The hardware architectures enabling this kind of computation are increasingly complex, and their use for on-the-edge...
https://phd.dii.unipi.it/pubblicazioni/item/5785-m-monopoli,-l-zulberti,-g-todaro,-p-nannipieri-and-l-fanucci,-exploiting-fpga-dynamic-partial-reconfiguration-for-a-soft-gpu-based-system-on-chip,-2023-18th-prime-conference,-valencia,-spain,-2023,-pp-181-184.html
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In recent years, Convolutional Neural Networks (CNNs) have demonstrated outstanding results in several emerging classification tasks. The high-quality predictions are often achieved with computationally intensive workloads that hinder the hardware...
https://phd.dii.unipi.it/publications/item/5776-t-pacini,-e-rapuano,-l-fanucci-“fpg-ai-a-technology-independent-framework-for-the-automa-tion-of-cnn-deployment-on-fpgas”,-ieee-access,-march-2023.html
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Left Ventricle (LV) detection from Cardiac Magnetic Resonance (CMR) imaging is a fundamental step, preliminary to myocardium segmentation and characterization. This paper focuses on the application of a Visual Transformer (ViT), a novel neural network...
https://phd.dii.unipi.it/pubblicazioni/item/5765-la-de-santi,-a-meloni,-mf-santarelli,-l-pistoia,-a-spasiano,-t-casini,-mc-putti,-l-cuccia,-f-cademartiri,-v-positano-left-ventricle-detection-from-cardiac-magnetic-resonance-relaxometry-images-using-visual-transformer-sensors-basel-mar-2023.html
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Abstrac: Orbital angular momentum (OAM) radars are able to estimate the azimuth angle and the rotation velocity of multiple targets without relative motion or beam scanning. Moreover, OAM wireless communications can achieve high spectral efficiency...
https://phd.dii.unipi.it/publications/item/5764-joint-oam-radar-communication-systems-target-recognition-and-beam-optimization.html
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Abstract This paper introduces a novel methodology developed for creating 3D models of archaeological artifacts that reduces the time and effort required by operators. The approach uses a simple vision system mounted on a robotic arm that follows a...
https://phd.dii.unipi.it/publications/item/5760-g-marchello,-e-fontana,-r-giovanelli,-f-cannella,-a-traviglia-cultural-heritage-digital-preservation-through-ai-driven-robotics-,-the-international-archives-of-the-photogrammetry,-remote-sensing-and-spatial-information-sciences-2023.html
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Abstract: During the last few years, the resolution increase of satellite on-board sensors has required to process collected massive data volume faster. To do so, the development of very-high throughput communication systems, particularly by adopting...
https://phd.dii.unipi.it/pubblicazioni/item/5747-n-corsinovi,-r-ciardi,-e-pagani,-m-bertolucci-and-l-fanucci,-adaptive-equalization-as-method-for-satellite-communication-channel-characterization-ieee-10th-international-workshop-on-metrology-for-aerospace,-milan,-italy,-jul-2023,-pp-580-584.html
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Abstract: Sample rate conversion is a fundamental operation performed in the digital front-end of software-defined radio and all-digital receivers. Within this context, polynomial-based filters, such as the Farrow structure and its variants, are a...
https://phd.dii.unipi.it/pubblicazioni/item/5748-e-pagani,-n-corsinovi,-m-bertolucci-and-l-fanucci,-design-and-fpga-implementation-of-a-high-speed-transposed-farrow-structure-for-arbitrary-resampling-in-digital-receivers,-18th-prime-conference,-valencia,-spain,-2023,-pp-373-376.html
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Sodium-Metal Halide Batteries are an interesting alternative to the Lithium-ion ones in stationary applications. However, their complex chemistry requires an accurate battery model to fully exploit the battery capabilities. The electric-equivalent...
https://phd.dii.unipi.it/pubblicazioni/item/5745-simonte,-g-,-di-rienzo,-r-,-verani,-a-,-baronti,-f-,-roncella,-r-,-saletti,-r-2022,-december-rest-time-effect-on-the-series-resistance-of-sodium-metal-halide-battery-in-2022-ieee-international-conference-on-power-electronics,-drives-and-energy.html
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Sodium-Metal Halide Batteries are a very promising alternative to the Lithium-ion ones for stationary applications, but their chemical complexity requires an accurate battery model to optimize their use. The electrical equivalent model of the battery...
https://phd.dii.unipi.it/pubblicazioni/item/5744-simonte,-g-,-di-rienzo,-r-,-baronti,-f-,-roncella,-r-,-saletti,-r-2022,-septem-ber-improvement-of-sodium-metal-halide-battery-electrical-equivalent-model-including-temperature-dependency-in-international-conference-on-applica-tions-in-electr.html
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Sodium-Metal Halide Batteries might be a good candidate to compete with Lithium-ion batteries for stationary applications. However, their characteristics cannot be fully exploited by the Battery Management System if an accurate battery model to be used...
https://phd.dii.unipi.it/pubblicazioni/item/5743-simonte,-g-,-di-rienzo,-r-,-biagioni,-i-,-baronti,-f-,-roncella,-r-,-saletti,-r-2021,-september-novel-setup-to-extend-the-temperature-characterization-range-of-a-sodium-metal-halide-battery-in-international-conference-on-applications-in-electr.html
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Sodium-Metal Halide Batteries are a promising and cheap alternative to lithium-ion ones for stationary applications such as smart grids. However, the reliability of their elementary cell is low, and a battery composed of hundreds of cells could likely...
https://phd.dii.unipi.it/pubblicazioni/item/5742-simonte,-g-,-di-rienzo,-r-,-verani,-a-,-nicodemo,-n-,-baronti,-f-,-roncella,-r-,-saletti,-r-2023-reliability-estimation-of-commercial-na-nicl2-batteries-using-theoretical-and-simulative-approaches-ieee-access.html
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Vision transformers represent the cutting-edge topic in computer vision and are usually employed on two-dimensional data following a transfer learning approach. In this work, we propose a trained-from-scratch stacking ensemble of 3D-vision transformers...
https://phd.dii.unipi.it/pubblicazioni/item/5738-pachetti,-e-colantonio,-s-3d-vision-transformer-stacking-ensemble-for-assessing-prostate-cancer-aggressiveness-from-t2w-images-bioengineering-2023,-10,-1015.html
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Quality of Service (QoS) and Quality of Experience (QoE) are the most relevant requirements for new advanced services comprising integrated cooperation between processing, storage, sensing, and transmission capabilities. As reliance on technology...
https://phd.dii.unipi.it/pubblicazioni/item/5707-from-mpls-to-sd-wan-to-ensure-qos-and-qoe-in-cloud-based-applications.html
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2D-ISAR produces images that strictly depend on the geometry of the whole radar-target system and on the relative motion between radar and target. This poses some limits on the use of Automatic Target Recognition (ATR) systems. To overcome this issue,...
https://phd.dii.unipi.it/pubblicazioni/item/5665-g-meucci,-f-mancuso,-e-giusti,-a-kumar,-s-ghio-and-m-martorella,-point-cloud-transformer-pct-for-3d-inisar-automatic-target-recognition,-2023-ieee-radar-conference-radarconf23-,-san-antonio,-tx,-usa,-2023,-pp-1-6,-doi-10-1109-radarconf23.html