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.
Results
Showing 1 to 18 of 18 for “"temporal network"”.
-
Efficient Spatio-Temporal Network Analytics in Epidemiological Studies using Distributed Databases
Real-time Spatio-Temporal Analytics has become an integral part of Epidemiological studies. The size of the spatio-temporal data has been increasing tremendously over the years, gradually evolving into Big Data. The processing in such domains are highly data and compute intensive. High performance …
-
The Interdependence of Scientists in the Era of Team Science: An Exploratory Study Using Temporal Network Analysis
… in the formation of collaborative relationships. Temporal network analysis at the mesoscopic level was used to study the collaboration dynamics of a specific research community, in this case the genomic research community emerging around GenBank, the international nucleotide sequence databank. The …
-
MACHINE LEARNING FOR TEMPORAL HETEROGENEOUS GRAPHS: PREDICTIVE METHODS, INTERPRETABILITY AND APPLICATIONS.
… and interpreting predictive methods for temporal heterogeneous graphs by integrating modeling and tools from network science and graph deep learning. We introduce discrete-time graph learning architectures based on Graph Neural Networks (GNNs) and linear scoring functions tailored for …
-
Data-driven modeling and analysis of the U.S. air transportation network and its resilience to extreme events
… and predicting delays of an air transportation network using publicly available data. The first part of this thesis details methods to quantify the resilience of the network. Traditionally, network metrics rely on removal of nodes heuristically to measure the resilience of the network. We …
-
Morphological alterations in frontotemporal dementia:
… in the neurodegenerative disorder of frontotemporal dementia (FTD). With the aim to improve the clinical diagnostics of FTD, we explored the diagnostic potential of measuring morphological alterations in the white matter by diffusion tensor imaging (DTI)- MRI, compared with the more commonly …
-
Service based logistics optimization
… methodology for an inbound reverse logistics network. Currently, Quest Diagnostics solves the vehicle routing problem with time windows (VRPTW) in designing routes. The objective of the canonical VRPTW is to find a minimum cost route that visits every node once while meeting time window and …
-
Decoding the emotional modulation of memory encoding: a multivariate fmri study of arousal and valence
… localised to the ventral visual stream and temporal memory systems, including the inferior temporal and fusiform gyri. In contrast, while we identified distinct neural patterns for memory encoding under different valence conditions, their decoding accuracies did not significantly differ. …
-
A temporal prognostic model based on dynamic Bayesian networks: mining medical insurance data
… have similar prognostic paths. Dynamic Bayesian networks theoretically provide a very expressive and flexible model to solve temporal problems in medicine. However, this involves various challenges due both to the nature of the clinical domain, and the nature of the DBN modelling and inference …
-
The Effects of Nicotine on Attention Orienting
… by the interplay of a fronto-parietal attention network that exerts a top-down influence on information processing and a superior temporal network that operates in parallel and that responds in a stimulus-driven manner to behaviorally salient stimuli. It is often reported that nicotine can …
-
Electrophysiological Markers of Sensory Plasticity and Connectomics in Ageing and Mild Cognitive Impairment
… forward and backward connectivity in a fronto-temporal network, while visual potentiation only modulated forward connections in an occipito-temporo-frontal network. These results are discussed with respect to the Free Energy Principle, which embodies both Hebbian and Predictive Coding …
-
EXPLORING BITCOIN WITH COMPUTATIONAL SOCIAL SCIENCE METHODS
… un periodo di quindici anni- la ricerca combina network analysis, temporal network modelling e agent-based modelling per catturare la complessità del sistema. L’analisi mostra che, nonostante le sue radici ideologiche basate sulla decentralizzazione, Bitcoin si è evoluto in una rete fortemente …
-
A framework for dynamic heterogeneous information networks change discovery based on knowledge engineering and data mining methods
Information Networks are collections of data structures that are used to model interactions in social and living phenomena. They can be either homogeneous or heterogeneous and static or dynamic depending upon the type and nature of relations between the network entities. Static, homogeneous and …
-
Robust planning and scheduling using column generation
… planning problem called the Virtual Network Function Placement and Routing Problem (VNFPRP). In 5G, Internet Service Providers (ISP) must deliver tailored network services for a variety of use cases; often with heterogeneous requirements defining the expected Quality of Service (QoS). …
-
Scalable data analytics techniques for summarizing spatial network-based observations
Summarizing spatial network-based observations (SSNO) entails finding a compact description or representation of large spatial or spatio-temporal datasets. For example, transportation planners and engineers may need to identify road segments that pose risks for pedestrians and require redesign. …
-
Decentralized Allocation of Tasks with Temporal and Precedence Constraints to a Team of Robots
… multi-robot task allocation problems with temporal and precedence constraints. To address this class of problems, we employ decentralized algorithms to find approximate solutions that minimize the maximum time needed to complete all tasks. To achieve decentralization, we use auction-based …
-
Examining the Transient Neural Dynamics Underlying Working Memory Maintenance for Complex Visual Stimuli
… connectivity to identify the underlying brain networks that facilitated performance for the low load condition and identified three supporting networks, including a frontal- posterior temporal network that is responsible for filtering the interfering stimuli.</p> <p>Additionally, in a separate …
-
A FRAMEWORK FOR NETWORK EVOLUTION
… il 2026, sfruttare questi dati è cruciale. La network science offre strumenti per analizzare sistemi complessi modellando nodi e archi. Ha applicazioni in diversi ambiti: nelle scienze sociali analizza social media, polarizzazione e migrazioni; in finanza studia stabilità dei mercati e frodi; …
-
ASSESSING ENDOCRINE ACTIVE SUBSTANCES¿ IMPACT ON THE IMMUNE SYSTEM THROUGH IN VITRO STUDIES
Le sostanze attive a livello endocrino (EAS) sono sostanze in grado in interagire con il sistema endocrino e in caso questa interazione induca effetti avversi, essi vengono identificati come interferenti endocrini (IE). Si trovano principalmente nell'ambiente, negli alimenti, nei cosmetici, nei …