Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 94 for “"Settore ING-INF/03 - Telecomunicazioni"”.
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Bridging the gap between theory and implementation in cognitive networks: developing reasoning in today's networks
Communication networks are becoming increasingly complex and dynamic. The networking paradigm commonly employed, on the other hand, has not changed over the years, and, as a result, performs poorly in today's environments. Only very recently, a new paradigm named cognitive networking has been …
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Detection and Analysis Methods for unmanned aerial Vehicle Images
… as drones, are aerial platforms that are gaining large popularity in the remote sensing field. UAVs derive from military technology, but in the last few years they are establishing as reference platforms also for civilian tasks. The main advantage of these acquisition systems lies in their …
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Design, analysis, application and experimental assessment of algorithms for the synthesis of maximally sparse, planar, non-superdirective and steerable arrays
This thesis deals with the problem of synthesizing planar, maximally sparse, steerable and non-superdirective array antennas by means of convex optimization algorithms and testing their performances on an existing array to assess its far field performances in terms of requirements ful- filment. The …
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Energy-Efficient Medium Access Control Protocols and Network Coding in Green Wireless Networks
… significantly contribute to the rapidly increasing energy consumption and carbon emissions of the Information and Communication Technologies (ICT) sector. Crucial factors leading to this trend are the continuous growth of wireless network infrastructure coupled with the increased number of user …
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Novel Methods for Change Detection in Multitemporal Remote Sensing Images
… paradigms and techniques for the extraction of information from long time series of remotely sensed images. Many images are acquired everyday at high spatial and temporal resolution. The unprecedented availability of images is increasing due to the number of acquiring sensors. Nowadays, many …
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Sensors and Wearable-based Activity Recognition and Behaviour Analysis for Users' Quality of Life Improvement
… The topic has been addressed considering two different fields of study, one concerning \ac{BECM} Systems while the other is more concerning healthcare and well-being aspects. Indeed, it has been largely demonstrated how human behaviour could impact, on different levels, the quality of …
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Multiuser Diversity Management for Multicast/Broadcast Services in 5G and Beyond Networks
… a paradigm shift for global communications, offering unprecedented breakthroughs in media service delivery with novel capabilities and use cases. Addressing the critical research verticals and challenges that characterize the International Mobile Telecommunications (IMT)-2030 framework requires a …
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Building Human Digital Twins through Natural Language Processing: From Conversations to Knowledge
… advancement in human-computer interaction, offering personalised digital representations of individual knowledge, behaviour, and preferences. These sophisticated systems face fundamental challenges in ensuring the reliable organisation and processing of extensive conversational data. This thesis …
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Learning Based Objective QoE Models Across Interactive and Immersive Media
Delivering high-quality multimedia experiences at scale requires objective Quality of Experience (QoE) models that reliably approximate human perception across heterogeneous contents, devices, and network conditions. Subjective user studies remain the reference standard for assessing perceived …
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Advanced Methods for the Analysis of Radar Sounder Data Acquired at the Ice Sheets
… reconfirmed the importance of a better understanding of the Cryosphere for advancing the analysis, modeling and prediction of climate change and its impact on the environment and society. One of the most complete collection of information about the ice sheets and glaciated areas is contained in …
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Advanced classification methods for UAV imagery
… advancement manifested lately in the remote sensing acquisition platforms has triggered many benefits in favor of automated territory control and monitoring. In particular, unmanned aerial vehicles (UAVs) technology has drawn a lot of attention, providing an efficient solution especially in …
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Advanced methods for the analysis of multispectral and multitemporal remote sensing images
The increasing availability of new generation remote sensing satellite multispectral images provides an unprecedented source of information for Earth observation and monitoring. Multispectral images can be now collected at high resolution covering (almost) all land surfaces with extremely short …
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Optimisation of Performance of 4G Mobile Networks in High Load Conditions
The signalling subsystem of the LTE (Long Term Evolution) networks inherited some of the limitations of its preceding technologies. It is vulnerable to overload situations that occur as a consequence of unpredicted user behaviour. The most sensitive zones are the paging procedure and random access …
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Advanced Methods for Change Detection in LiDAR Data and Hyperspectral Images
In the last years Remote Sensing technology has significantly improved and new sensors capable of acquiring data with high spatial and spectral resolution have been developed. Light Detection And Ranging (LiDAR) and Hyperspectral (HS) sensors acquire data that accurately characterize the 3-D …
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Acoustic Model Adaptation For Reverberation Robust Automatic Speech Recognition
… For humans, reverberation is beneficial as it reinforces sound and also provide the sensation of space. However, for automatic speech recognition even moderate amount of reverberation is very harmful. It corrupts the clean speech which leads to deterioration in the performance of the speech …
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Analysis of forest areas by advanced remote sensing systems based on hyperspectral and LIDAR data
… height, etc. Hyperspectral and LIDAR remote sensing data can provide useful information to the identification of these attributes: hyperspectral data with their dense sampling of the spectral signatures are important for the classification of tree spe-cies, while LIDAR data are important for the …
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Advanced regression and detection methods for remote sensing data analysis
Nowadays the analysis of remote sensing data for environmental monitoring is fundamental to understand the local and global Earth dynamics. In this context, the main goal of this thesis is to present novel signal processing methods for the estimation of biophysical parameters and for the analysis …
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Trajectory Analysis for Event Detection in Ambient Intelligence Applications
The automatic understanding of human activity is probably one of the most challenging problems for the scientific community. Several application domains would benefit of such an analysis, from context-aware computing, to area monitoring and surveillance, to assistive technologies for elderly or …
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Discrimination of Computer Generated versus Natural Human Faces
… of computer graphics technologies has been bringing realism to computer generated multimedia data, e.g., scenes, human characters and other objects, making them achieve a very high quality level. However, these synthetic objects may be used to create situations which may not be present in real …
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Advanced Techniques for Automatic Change Detection in Multitemporal Hyperspectral Images
The increasing availability of the new generation remote sensing satellite hyperspectral images provides an important data source for Earth Observation (EO). Hyperspectral images are characterized by a very detailed spectral sampling (i.e., very high spectral resolution) over a wide spectral …
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