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Smart-home systems represent the future of modern building infrastructure as they integrate numerous devices and applications to improve the overall quality of life. These systems establish connectivity among smart devices, leveraging network technologies ...

Conversational agents (CAs) that deliver proactive interventions can benefit users by reducing their cognitive workload and improving performance. However, little is known regarding how such interventions would impact users’ reflection on choices in voice-...

The mobile energy storage system, as an emerging technology, is progressively establishing a significant presence within power systems through its flexible adjustment of power loads and the storage and release of energy. However, the high initial ...

As the uncertainty and complexity of financial markets increase, traditional financial forecasting methods are increasingly revealing their limitations. This paper explores the design and implementation of a financial forecasting system based on ...

This study explores the innovative integration of artificial intelligence and blockchain technology within the realm of financial forecasting. As financial markets become increasingly intricate, traditional forecasting methods encounter substantial ...

With the rapid advancement of the global digital economy, enterprise management systems are undergoing profound transformations. Traditional management models no longer suffice to meet modern enterprises' demands for efficiency and intelligence; ...

In the context of the rapid development of the digital economy, data processing technology has become a crucial means for enterprises and organizations to gain competitive advantages. This paper aims to study a digital economy data processing system ...

This study proposes a deep learning-based model for assessing the influence of news events by integrating multimodal features such as text, time series, and social networks to construct a comprehensive influence score metric. The model utilizes ...

Federated Learning (FL) addresses the challenges posed by data silos, which arise from privacy, security regulations, and ownership concerns. Despite these barriers, FL enables these isolated data repositories to participate in collaborative learning ...

Distributed Graph Neural Network (GNN) training facilitates learning on massive graphs that surpass the storage and computational capabilities of a single machine. Traditional distributed frameworks strive for performance parity with centralized training ...

The COVID-19 pandemic brought about an extraordinary rate of scientific papers on the topic that were discussed among the general public, although often in biased or misinformed ways. In this paper, we present a mixed-methods analysis aimed at examining ...

An Echo Chamber on social media refers to the environment where like-minded people hear the echo of each others' voices, opinions, or beliefs, which reinforce their own. Echo Chambers can turn social media platforms into collaborative venues that ...

User interface (UI) personalization can improve usability and user experience. However, current systems offer limited opportunities for customization, and third-party solutions often require significant effort and technical skills beyond the reach of ...

Developing interventions that successfully reduce engagement with misinformation on social media is challenging. One intervention that has recently gained great attention is X/Twitter's Community Notes (previously known as "Birdwatch"). Community Notes ...

Trustworthy digital communication requires the secure exchange of contact information, but current approaches lack usability and scalability for larger groups of users. We evaluate the usability of two secure contact exchange systems: the current state ...

Relying on the development of crowdsourcing ideas and mobile crowd sensing (MCS) technology, many tasks that originally required a lot of manpower and material resources have been solved efficiently. However, with the development of urbanization, the ...

Quality patient-provider communication is critical to improve clinical care and patient outcomes. While progress has been made with communication skills training for clinicians, significant gaps exist in how to best monitor, measure, and evaluate the ...

Remote Patient Monitoring (RPM) devices transmit patients' medical indicators (e.g., blood pressure) from the patient's home testing equipment to their healthcare providers, in order to monitor chronic conditions such as hypertension. AI systems have the ...

Detailed targeting of advertisements has long been one of the core offerings of online platforms. Unfortunately, malicious advertisers have frequently abused such targeting features, with results that range from violating civil rights laws to driving ...

Security and privacy (S&P) perspectives of people in a multi-user home are a growing area of research, with many researchers reflecting on the complicated power imbalance and challenging access control issues of the devices involved. However, these ...