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Università degli Studi di Trento: [4141] Istituto

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 4.141
Istituto Anno di pubblicazione Titolo Autore file(s)
Università degli Studi di Trento 2025 Embedded Real-time Musical Pattern Detection for Smart Musical Instruments -
Università degli Studi di Trento 2025 Efficient and Effective Model Enumeration in SAT and SMT: Investigating Novel Procedures and Applications -
Università degli Studi di Trento 2025 IDENTIFYING PARKINSON’S DISEASE PENETRANCE-MODIFYING FACTORS IN THE POPULATION-BASED COOPERATIVE HEALTH RESEARCH IN SOUTH TYROL (CHRIS) COHORT ​ -
Università degli Studi di Trento 2025 Novel Insights into the Function of Epigenetic Modifiers in Maintaining Liver Homeostasis and Preventing Tumorigenesis -
Università degli Studi di Trento 2025 Human action recognition in the real world: handling domain shift in open-set, source-free and multi-source scenarios -
Università degli Studi di Trento 2024 Country-level Mechanisms and Subsidiary Performance and Functioning -
Università degli Studi di Trento 2025 Unbalancing Polycomb group proteins activities during liver homeostasis and tumour formation -
Università degli Studi di Trento 2025 Advanced Deep Learning Approaches for Automated Assessment of Ultrasound Imaging (Lungs and Heart) -
Università degli Studi di Trento 2025 Advanced Statistical Inference for Stochastic Quasi-Reaction Systems -
Università degli Studi di Trento 2025 Multifunctional bio-composites for forestry and agricultural applications -
Università degli Studi di Trento 2025 Efficient Knowledge Transfer and Adaptation for Speech and Beyond -
Università degli Studi di Trento 2025 Guida agli archivi dei rettori della Repubblica di Venezia (sec. XIII - 1797) -
Università degli Studi di Trento 2025 Cyber-physical systems to monitor the efficiency and sustainability of human-centric manufacturing systems -
Università degli Studi di Trento 2024 Versatile multi-component (bio)ink platform for advanced biofabrication -
Università degli Studi di Trento 2024 Techniques and Applications for Efficient Low-power TinyML -
Università degli Studi di Trento 2024 Development of technologies to portray the 3′Phospho-RNAome in translation and disease -
Università degli Studi di Trento 2024 Modeling the Impact of Environmental and Immunity Heterogeneity on Infectious Disease Transmission Risk -
Università degli Studi di Trento 2024 Exploiting the potential of metagenomics to uncover novel and uncharacterized gut microbiome diversity -
Università degli Studi di Trento 2024 Generation and in vivo validation of multi-functional antibody-fusion proteins for cancer therapy -
Università degli Studi di Trento 2024 Essays on the Impact of Climate Change and Related Policies -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 4.141
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Prodotti recenti

Embedded Real-time Musical Pattern Detection for Smart Musical Instruments

This thesis explores the development of embedded real-time musical pattern detection (RTPD) systems for smart musical instruments (SMI), a class of musical instruments which integrate sensors, embedded intelligence, and wireless connectivity. We focused on enabling SMIs to detect pre-defined musical patterns in real-time, which can then be used as triggers to control external devices such as stage lights, smoke machines, haptic devices and mixed reality headsets. This work is situated within ...

Efficient and Effective Model Enumeration in SAT and SMT: Investigating Novel Procedures and Applications

Propositional satisfiability (SAT) has long been a cornerstone of computer science, especially in areas like hardware verification and AI. Whereas solving SAT problems has received significant attention, the task of enumerating all satisfying solutions—known as the All-Solution Satisfiability Problem (AllSAT)—remains comparatively underexplored. This thesis addresses the gap in research on AllSAT and its extension to All-Satisfiability Modulo Theories (AllSMT), where both Boolean and first-or...

IDENTIFYING PARKINSON’S DISEASE PENETRANCE-MODIFYING FACTORS IN THE POPULATION-BASED COOPERATIVE HEALTH RESEARCH IN SOUTH TYROL (CHRIS) COHORT ​

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta. Mutations in PRKN (Parkin), an E3 ubiquitin ligase mostly known for its role in facilitating the selective clearance of dysfunctional mitochondria (mitophagy) (Celardo et al., 2014), are the most common cause of autosomal recessive PD (Kitada et al., 1998). Carriers of these mutations show an earlier age of onset and slower disease progression compa...

Novel Insights into the Function of Epigenetic Modifiers in Maintaining Liver Homeostasis and Preventing Tumorigenesis

Liver cancer represents a significant global health challenge, with poor survival rates emphasizing the critical need for innovative therapeutic strategies. Chromatin regulators, including mSWI/SNF and Polycomb complexes, have emerged as promising targets for intervention. This thesis explores the roles of ARID1A, a key subunit of mSWI/SNF, and BAP1, a component of the PR-DUB complex linked to Polycomb regulation, in preserving liver function and their contributions to cancer development. Add...

Human action recognition in the real world: handling domain shift in open-set, source-free and multi-source scenarios

Human behavior understanding as an application of artificial intelligence and deep learning has quickly acquired popularity over the past few years, due to the crucial role it plays in trending fields such as human-robot interaction, autonomous driving, drone footage, sports and video surveillance. The variety of different scenarios and conditions in which modern computer vision algorithms are expected to operate, along with the significant cost derived from collecting and annotating data, en...

Country-level Mechanisms and Subsidiary Performance and Functioning

Research in International Business and Strategy has focused on Multinational Enterprise (MNE) subsidiaries located in foreign host countries, particularly examining the mechanisms that influence their outputs. Extending this scholarship, this dissertation explores country-level mechanisms and their impact on the performance and functioning of subsidiaries in host countries through three interrelated studies, integrating different theoretical frameworks. The first study investigates how the co...

Unbalancing Polycomb group proteins activities during liver homeostasis and tumour formation

Increasing evidence demonstrated that mutations altering the activity of chromatin-modifying complexes significantly contribute to liver tumour formation and progression. Inactivating mutations of members of the polycomb complexes have been found in a subset of aggressive HCCs, mainly affecting women, and in more than 20% of CCA. To clarify the role of these chromatin-associated complexes in liver homeostasis, we used a comprehensive approach taking advantage of advanced genomics approaches, ...

Advanced Deep Learning Approaches for Automated Assessment of Ultrasound Imaging (Lungs and Heart)

Ultrasound is a widely used imaging modality to evaluate various anatomical structures in the human body, such as the lungs and heart, due to its non-invasive nature and real-time imaging capabilities. However, the effectiveness of these evaluations is highly dependent on the manual annotation/segmentation of visual patterns. In lung assessments, patterns such as hyper-echoic horizontal and vertical artifacts and hypo-echoic consolidations are crucial for diagnosing both adult and neonatal re...

Advanced Statistical Inference for Stochastic Quasi-Reaction Systems

Quasi-reaction systems are often modelled with stochastic differential equations in order to capture the inherent randomness of their dynamics. The traditional local linear approximation methods for the estimation of the reaction rates face significant challenges in certain conditions. When the system is observed at short intervals, high correlations between successive observations result in numerical instability, while measurements at wider intervals lead to biased estimates of the parameters...

Multifunctional bio-composites for forestry and agricultural applications

In recent years, climate change has severely impacted forest ecosystems, leading to violent storms, wildfires, soil erosion, and increased insect and fungi infestations, clearing large forest areas. Restocking and restoring these forests is a challenge, particularly with the decrease in rainfall across Europe. Southern Europe faces a high risk of desertification due to over-exploitation of land and water, urban sprawl, tourism and unplanned industrialisation. To address these problems, it is ...

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Istituto
  • Università degli Studi di Trento4141
Data di pubblicazione
  • 2020 - 20251384
  • 2010 - 20192622
  • 2000 - 2009134
  • 1999 - 19991
Settore disciplinare
  • Settore INF/01 - Informatica505
  • Settore ING-IND/22 - Scienza e Te...147
  • Settore ING-INF/05 - Sistemi di E...129
  • Settore FIS/03 - Fisica della Mat...125
  • Settore FIS/01 - Fisica Sperimentale122
  • Settore M-PSI/01 - Psicologia Gen...96
  • Settore ING-INF/03 - Telecomunica...92
  • Settore BIO/11 - Biologia Molecolare90
  • Settore ICAR/09 - Tecnica delle C...83
  • Settore SECS-P/01 - Economia Poli...78
Accesso al fulltext
  • open2924
  • partially open428
  • internalNetwork317
  • reserved237
  • embargoed219
  • no fulltext11
  • mixed5