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Significant progress in text-to-image generation has been driven by the application of diffusion models, highlighting their crucial role and exceptional impact on this field. However, diffusion models often fall short of comprehending spatial ...

Cameras are ubiquitous in society, with users increasingly looking to extract insights about the physical world. Current human-to-camera interaction methods, while advanced, still need to support an intuitive, conversational interaction as one would ...

Cyber-physical systems (CPSs) need to respond to each change of each monitored object in time. The entire response process can be divided into two stages: the update stage and the control stage. Tasks in CPSs can thus be divided into two kinds: update ...

In recent years, the swift expansion of Internet of Things (IoT) applications has been notable. However, developing a comprehensive IoT application is highly challenging for non-expert developers due to the highly diverse characteristics of embedded ...

Bluetooth Low Energy (BLE) is one of the most popular wireless protocols for building IoT applications because of its low energy, low cost, and wide compatibility nature. However, BLE communication performance can be easily affected by interference and ...

Trigger-Action Program (TAP) is a simple but powerful format to realize intelligent IoT applications, especially in home automation scenarios. Existing trace-driven approaches and in-situ programming approaches depend on either customized interaction ...

Multi-exit neural networks have gained popularity in edge computing to leverage the computing power of diverse devices. However, real-time tasks in edge applications often face frequent unpredictable exits caused by power outages or high-priority ...

Cloud control system (CCS) is an important embodiments of the convergence of information technology (IT) and operational technology (OT) in the industrial internet of things (IIoT). Meeting the time-sensitive requirements of control systems in an ...

IoT rule engines are important middlewares that allow users to easily create custom trigger-action programs (TAPs) and interact with the physical world. Users expect their TAPs to give a timely response within a certain deadline. Existing works provide ...

Machine unlearning provides users with the right to remove their privacy data from a well-trained model. Existing approaches of machine unlearning mainly focus on exploring data removing within supervised learning (SL) tasks. However, weakly supervised ...

Encrypted Docker images are becoming increasingly popular in Docker registries for privacy. As the Docker registry is tasked with managing an increasing number of images, it becomes essential to implement deduplication to conserve storage space. However, ...

The Domain Name System (DNS) is a crucial infrastructure of the Internet, yet it is also a primary medium for disseminating illicit content. Researchers have proposed numerous methods to detect malicious domains, with association-based approaches ...

<italic>Complementary label learning</italic> (CLL) requires annotators to give <italic>irrelevant</italic> labels instead of relevant labels for instances. Currently, CLL has shown its promising performance on multi-class data by estimating a transition ...

Generalized Zero-Shot Learning (GZSL) aims to recognize both seen and unseen classes by training only the seen classes, in which the instances of unseen classes tend to be biased towards the seen class. In this paper, we propose a Cluster-based ...

• The proposed CSDR method improves GZSL by alleviating domain shift and semantic gap.
• Semantic disentangling module learns fine-grained semantic feature of visual vectors.
• Semantic representation module rises intra-class similarity &...

Mobile application updates occur frequently, and they continue to add considerable traffic over the Internet. Differencing algorithms, which compute a small delta between the new version and the old version, are often employed to reduce the update ...

Internet of Things (IoT) applications have recently been widely used in safety-critical scenarios. To prevent sensitive information leaks, IoT device vendors provide hardware-assisted protections, called Trusted Execution Environments (TEEs), like ARM ...

With the increasing demand for Web of Things (WoT) and edge computing, the efficient utilization of limited computing power on edge devices is becoming a crucial challenge. Traditional neural networks (NNs) as web services rely on deterministic ...

The measurement matrices play a crucial role in compressed sensing, directly impacting the performance of signal sampling and reconstruction. As one of the primary construction methods for measurement matrices, designing structured measurement ...

The multidepot vehicle scheduling problem (MDVSP) is a fundamental public transport challenge. To address the large‐scale model and inherent solution symmetry associated with the traditional trip‐to‐trip connection‐based approach for MDVSP, a ...

In software development, developers extensively utilize third-party libraries to avoid implementing existing functionalities. When a new third-party library vulnerability is disclosed, project maintainers need to determine whether their projects are ...