Tracking of Mobile Devices Through Bluetooth Contacts

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This article investigates the performance and accuracy of continuous Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) position tracking for hydromorphological surveys, based on a comprehensive river restoration monitoring campaign. The a ...

Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...

Rural mobility in Africa is an under-researched issue. Rural communities have often suffered from reduced mobility that has hampered their access to essential services and facilities such as education, health care, food, and clean water. In many rural comm ...

One major challenge in distributed learning is to efficiently learn for each client when the data across clients is heterogeneous or non iid (not independent or identically distributed). This provides a significant challenge as the data of the other client ...

. High-resolution simulations of particle-based kinetic plasma models typically require a high number of particles and thus often become computationally intractable. This is exacerbated in multi-query simulations, where the problem depends on a set of para ...

We consider the problem of enhancing user privacy in common data analysis and machine learning development tasks, such as data annotation and inspection, by substituting the real data with samples from a generative adversarial network. We propose employing ...

Although encryption hides the content of communications from third parties, metadata, i.e., the information attached to the content (such as the size or timing of communication) can be a rich source of details and context. In this dissertation, we demonstr ...

Smartphones present many interesting opportunities for survey research, particularly through the use of mobile data collection applications (apps). There is still much to learn, however, about how to integrate apps in general population surveys. Recent stu ...

Information retrieval (IR) systems such as search engines are important for people to find what they need among the tremendous amount of data available in their organization or on the Internet. These IR systems enable users to search in a large data collec ...

The application of digital technologies to historical newspapers has changed the research landscape historians were used to. An Eldorado? Despite undeniable advantages, the new digital affordance of historical newspapers also transforms research practices ...

Every day millions of people read Wikipedia. When navigating the vast space of available topics using hyperlinks, readers describe trajectories on the article network. Understanding these navigation patterns is crucial to better serve readers' needs and ad ...

Background: Increasingly, hospitals and research institutes are developing technical solutions for sharing patient data in a privacy preserving manner. Two of these technical solutions are homomorphic encryption and distributed ledger technology. Homomorph ...

The ubiquitous implementation of 5G networks and the Internet of Things (IoT), brings about the importance of indoor localization. Even though Global Positioning System (GPS) provides an efficient outdoor Positioning System (PS), indoor positioning techniq ...

Location privacy of aircraft has recently gained attention as air traffic management was modernized using novel surveillance technologies. Business aviation circles and various military and government entities voiced serious concerns about automated and ub ...

Decentralized algorithms for stochastic optimization and learning rely on the diffusion of information through repeated local exchanges of intermediate estimates. Such structures are particularly appealing in situations where agents may be hesitant to shar ...

We have recently released in the open domain data originating from a series of flights conducted with a fixed-wing micro UAV carrying high-quality small camera and navigation sensors. This data was previously used in several peer-reviewed publications. How ...

Over the years, mobile phones have become versatile devices with a multitude of capabilities due to the plethora of embedded sensors that enable them to capture rich data unobtrusively. In a world where people are more conscious regarding their health and ...

A medical system comprising a first wearable device configured to be worn by a first hand of a user, a second wearable device configured to be worn by a second hand of the user, a first sensor device arranged on the first wearable device, the first sensor ...

Training datasets for machine learning often have some form of missingness. For example, to learn a model for deciding whom to give a loan, the available training data includes individuals who were given a loan in the past, but not those who were not. This ...

Medical studies are usually time consuming, cumbersome and extremely costly to perform, and for exploratory research, their results are also difficult to predict a priori. This is particularly the case for rare diseases, for which finding enough patients i ...

Tracking of Mobile Devices Through Bluetooth Contacts

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Performance and accuracy of cross‐section tracking methods for hydromorphological habitat assessment in wadable rivers with sparse canopy conditions

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Impact of Topography on Rural Cycling Patterns: Case Study of Bugesera District, Rwanda

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Adaptive Symplectic Model Order Reduction Of Parametric Particle-Based Vlasov-Poisson Equation

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees

Protecting privacy through metadata analysis

Data Privacy Concerns as a Source of Resistance to Complete Mobile Data Collection Tasks Via a Smartphone App

Graph Embedding for Retrieval

Digitised Newspapers – A New Eldorado for Historians? Reflections on Tools, Methods and Epistemology

Wikipedia Reader Navigation: When Synthetic Data Is Enough

Health data privacy through homomorphic encryption and distributed ledger computing: an ethical-legal qualitative expert assessment study

Bluetooth Low Energy Direction Finding Principle

Flying in Private Mode: Understanding and Improving the Privacy ICAO Address Program

Graph-Homomorphic Perturbations For Private Decentralized Learning

Fixed-wing micro UAV open data with digicam and raw INS/GNSS

Smartphone Sensing for the Well-being of Young Adults: A Review

A medical system and method using a pair of gloves equipped with physiological sensors

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective

MedCo(2): Privacy-Preserving Cohort Exploration and Analysis