My3: A highly-available P2P-based online social network

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Countless aspects of touch and closeness have been questioned in an unprecedented way during the recent Covid epidemic. Social practices as banal as greetings were both reflexively and practically challenged and sometimes deeply altered, resulting in painf ...

The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...

Keeping track of Internet latency is a classic measurement problem. Open measurement platforms like RIPE Atlas are a great solution, but they also face challenges: preventing network overload that may result from uncontrolled active measurements, and maint ...

Virtual Memory (VM) is a critical programming abstraction that is widely used in various modern computing platforms. With the rise of datacenter computing and birth of planet-scale online services, the semantic and capacity requirements from memory have ev ...

In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywo ...

We live in an era defined by attempts to grapple with an ever-expanding array of grand societal challenges (GCs). These challenges comprise transformational social and environmental issues, such as environmental degradation and global pandemics, and the cr ...

Graph Neural Networks (GNNs) have emerged as a powerful tool for learning on graphs, demonstrating exceptional performance in various domains. However, as GNNs become increasingly popular, new challenges arise. One of the most pressing is the need to ensur ...

This paper reports on the development of a brief scenario-based challenge to prompt engineering students’ reflection about the broader impacts of their design decisions, and thereby increase their ethical sensitivity and motivation. The game scenario asks ...

Water diversions from rivers and torrents for anthropic uses of the resource alter the natural flow regime. As a measure, environmental flows have been prescribed and often are enforced by law to follow policies (e.g., minimal flow, proportional redistribu ...

Peer-to-peer (P2P) sharing may foster sustainability synergistically by saving resources, reducing costs and promoting satisfaction of consumer needs and social connectivity. A survey of Swiss and Swedish consumers (N = 1522) was conducted to analyze drive ...

Social learning algorithms provide models for the formation of opinions over social networks resulting from local reasoning and peer-to-peer exchanges. Interactions occur over an underlying graph topology, which describes the flow of information among the ...

Metabolic "dark matter" describes currently unknown metabolic processes, which form a blind spot in our general understanding of metabolism and slow down the development of biosynthetic cell factories and naturally derived pharmaceuticals. Mapping the dark ...

This questionnaire Data Domotopia is a 100+ multi-purpose items about home-making and stillness in a moving world. The survey covers most of the contemporary issues related to home-making. This includes the domestic space and gender issues; the socio-spati ...

Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...

This paper presents an analysis of the role of social media, specifically Twitter, in the context of non-fungible tokens, better known as NFTs. Such emerging technology framing the creation and exchange of digital object, started years ago with early proje ...

This work proposes a multi-agent filtering algorithm over graphs for finite-state hidden Markov models (HMMs), which can be used for sequential state estimation or for tracking opinion formation over dynamic social networks. We show that the difference fro ...

Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and distorted by inhomogenei ...

Goods can exhibit positive externalities impacting decisions of customers in social networks. Suppliers can integrate these externalities in their pricing strategies to increase their revenue. Besides optimizing the prize, suppliers also have to consider t ...

With the emergence of social networks and improvements in the internet speed, the video data has become an ever-increasing portion of the global internet traffic. Besides the content, the quality of a video sequence is an important issue at the user end wh ...

Overview Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. Th ...

My3: A highly-available P2P-based online social network

Chat with Graph Search

Touch and Closeness in Naturally Organized Activities

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Using Gaming Footage as a Source of Internet Latency Information

Rebooting Virtual Memory with Midgard

Global, Passive Detection of Connection Tampering

Entrepreneurial Opportunities and Threats in the Era of Grand Societal Challenges

Privacy-Preserving Machine Learning on Graphs

DRONE GAME THAT HIGHLIGHTS ETHICAL AND SUSTAINABILITY IMPLICATIONS OF DESIGN DECISIONS

Dynamic environmental flows using hydrodynamic-based solutions for sustainable hydropower

Promoting synergies for sustainability through peer-to-peer sharing: an analysis of drivers and barriers

Explainability and Graph Learning From Social Interactions

Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx

Preliminary metadata paper. Data Domotopia: a web-based survey about home-making in a moving world

Dynamic Personalized Ranking

The impact of NFT profile pictures within social network communities

Hidden Markov Modeling Over Graphs

Relative, local and global dimension in complex networks

Maintenance scheduling of manufacturing systems based on optimal price of the network

Feature-based no-reference video quality assessment using Extra Trees

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms