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Mobile Augmented Reality (MAR) applications perform Simultaneous Localization and Mapping (SLAM) to determine the position of the camera and generate a map of the environment, enabling the overlay of virtual objects onto the real world. Since real world ...

Neural Radiance Fields (NeRF) is an emerging technique to synthesize 3D objects from 2D images with a wide range of potential applications. However, rendering existing NeRF models is extremely computation intensive, making it challenging to support real-...

Mobile Augmented Reality (MAR) enhances real-world experiences by overlaying virtual objects onto real-world scenes viewed on smartphones. For a high-quality MAR experience, these virtual objects must remain stable on the screen as users move. However, a ...

Extending from sequential recommendation models, in this article, we present a novel framework named Search-based Time-Aware Recommendation (STARec), which first retrieves the historical behaviors of the given user through a search-based retriever and ...

With the advent of an aging society, an increasing number of patients require appropriate care. Simultaneously, there is currently a lack of effective solutions for monitoring nursing behaviors. In order to address this issue, we propose mmCare, a ...

In the realm of modern recommendation systems, efficiently handling the vast amount of available data and accurately predicting user preferences remains a significant challenge. Traditional models often struggle with sparse data and fail to capture the ...

This paper introduces a corporate financial performance evaluation system based on fuzzy neural networks. After presenting the fundamental theories of neural networks, it provides a detailed description of the construction and determination of the ...

MouthIO is the first customizable intraoral user interface that can be equipped with various sensors and output components. It consists of an SLA-printed brace that houses a flexible PCB within a bite-proof enclosure positioned between the molar teeth ...

This paper presents a comprehensive digital forensic analysis of the social media platforms Threads and Bluesky, juxtaposing their unique architectures and functionalities against X. This research fills a gap in the extant literature by offering a novel ...

Implantable Medical Devices (IMDs) are widely deployed today and often use wireless communication. Establishing a secure communication channel to these devices is challenging in practice. To address this issue, researchers have proposed IMD key exchange ...

The current times ask for resource-constrained devices such as drones, light mobile robots, XR glasses, or mobile phones to perform object detection efficiently and in real time. However, when executed on the device, object detection fails to achieve the ...

This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency, availability, ...

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-...

This paper takes ChatGPT as an example, employing a grounded theory research method while strictly adhering to the norms of research methods. The research team conducted a back-to-back three-level coding analysis of the original data obtained from ...

Human explanations are often contrastive, meaning that they do not answer the indeterminate "Why?" question, but instead "Why P, rather than Q?". Automatically generating contrastive explanations is challenging because the contrastive event (Q) ...

This poster showcases the future of player-NPC interaction in gaming: more natural, based on speech. The poster explains the implementation of verbal interaction with an NPC in a mobile game. Large Language Models (LLMs) open new ways of interacting in ...

As the demand for smart city services grows, unmanned aerial vehicle (UAV) swarm have achieved tremendous success in industries such as traffic management, logistics transportation, and road inspection. Despite their promising potential, a critical gap ...

Memes, typically comprising an image with corresponding text, spread personal opinions and positions rapidly across the internet. However, this same characteristic makes them a powerful tool for disseminating social bias and prejudice. Such harmful memes ...

The respiration state during overnight sleep is an important indicator of human health. However, existing contactless solutions for sleep respiration monitoring either perform in controlled environments and have low usability in practical scenarios, or ...

This tutorial introduces participants to the fundamentals and advanced concepts of integrating sensor and actor systems within the Internet of Things (IoT) through hands-on experience with small, portable ad-hoc networks. We will learn to create and ...