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Effective detection of abnormal behaviors within elevator cabins is critical to ensure elevator safety. While existing deep learning based anomaly detection methods mainly focus on convolutional neural networks for spatial feature extraction and ...

With the rapid development of the mobile network and the gradual popularization of mobile devices, more and more users try to find attractive places to visit through WeChat, Twitter applications. In this trend, personalized next point of interest(...

• An innovative next POI recommendation algorithm called MUPT is proposed.
• GGNN is employed to learn expressive POI embedding based on the constructed graph.
• It adopts three Transformer encoders to model multi-factor user ...

Network traffic classification is an important part of network monitoring and network management. Three traditional methods for network traffic classification are flow-based, session-based, and packet-based, while flow-based and session-based ...

Traditional techniques for edge computing resource scheduling may result in large amounts of wasted server resources and energy consumption; thus, exploring new approaches to achieve higher resource and energy efficiency is a new challenge. Deep ...

With rapid development of network communications, the performance requirements of applications are getting more differentiated. Many applications like high-definition video transfer require high throughput but do tolerate occasional packet ...

Coverage-based greybox fuzzing (CGF) is an efficient technique for detecting vulnerabilities, but its coverage-feedback mechanism introduces significant overhead in binary-only fuzzing. Although hardware-assisted greybox fuzzing (HGF) has been proposed ...

When trained Large Language Models (LLMs) become available, it is desirable to carry out LLM inferences at the user end with limited resources. A common belief on LLM inference is that GPU is essentially the only meaningful processor as almost all ...

The security of embedded firmware has become a critical issue in light of the rapid development of the Internet of Things. Current security analysis approaches, such as dynamic analysis, still face bottlenecks and difficulties due to the wide ...

The next Point of Interest (POI) recommendation is of great significance to provide personalized location suggestions for users to visit next. Most existing researches fail to explore user coarse-grained category movement preferences embedded in ...

Although particle swarm optimization has shown great potentials in solving the complex elevator group scheduling problem, it still suffers from the issue of local optimum. In order to improve the capability of finding the global optimum, a multi-...

Accurate localization of unmanned aerial vehicle (UAV) is critical for navigation in GPS-denied regions, which remains a highly challenging topic in recent research. This article describes a novel approach to multi-sensor hybrid coupled cooperative ...

Pre-trained Vision-Language Models (VLMs), like CLIP, exhibit strong generalization ability to downstream tasks but struggle in few-shot scenarios. Existing prompting techniques primarily focus on global text and image representations, yet overlooking ...

Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for testing specific targets (e.g., the potential buggy code). Despite numerous techniques proposed to enhance directedness, the existing DGF techniques still face challenges, ...

Anomaly detection for multivariate time series is an essential task in the modern industrial field. Although several methods have been developed for anomaly detection, they usually fail to effectively exploit the metrical-temporal correlation and the ...

Facial expression recognition (FER) is a crucial and pivotal functionality for home care robots that engage in intimate interactions with human individuals. However, the potential privacy risk associated with home care robots resides in their ...

• A lightweight neural network architecture is proposed for facial expression recognition on home care robots.
• An efficient lower layer parameter decoupling personalized FL method is introduced.
• It can be easily applied to existing ...

Virtual Reality (VR) applications that require extremely low delay and high image quality are widely used in online games and other 5G scenarios, becoming a hot research field in recent years. However, the limited bandwidth in 5G edge networks ...

The point of interest (POI) recommendation algorithm in location based social network (LBSN) can assist people to find more appealing locations and satisfy their specific demands. However, it is challengeable to infer user’s preference due to the ...

We propose a network service as a solution for video conference applications by constructing network layer routing strategies. Our approach takes into account the characteristics of conferencing flows, addresses various self-customized metrics, and ...

In this work, we propose an efficient smoothed particle hydrodynamics (SPH) method for simulating laser powder bed fusion (LPBF). The multi-physics process of LPBF, including the heat transfer and phase change with complex boundaries, is ...

The enumeration of hop-constrained simple paths is a building block in many graph-based areas. Due to the enormous search spaces in large-scale graphs, a single machine can hardly satisfy the requirements of both efficiency and memory, which causes an ...