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Recently, the emergence of Internet of Things (IoT) devices has posed a challenge for securing information and avoiding attacks. Most of the cryptography solutions are based on physical layer security (PLS), whose idea is to fully exploit the properties ...

This paper explores analysis of a dependent complementary competing risks model when the failure causes are distributed by the proposed generalized inverted family of lifetime distributions. Under maximum ranked set sampling with unequal samples (...

• A bivariate generalized lifetime distribution is proposed for modeling dependent causes of failure.
• A novel dependent complementary competing risk model is established under MRSSU.
• Existence and uniqueness of maximum likelihood ...

This work presents four novel entropy-based indices for measuring the community evolution of developer social networks (DSNs) in open source software (OSS) projects. The proposed indices offer a quantitative measure of community split, shrink, merge, and ...

In the context of autonomous vehicles (AVs), offloading is essential for guaranteeing the execution of perception tasks, e.g., mobile mapping or object detection. While existing work on offloading focused extensively on minimizing inter-vehicle ...

The rapid growth of IoT devices and the increasing demand for device interaction between different network partitions have significantly pressured IoT device management. To realize cross-domain trust integration between different partitioned ...$\mathrm{}$

Dynamic interactions between human joints and bones convey significant information for skeleton-based abnormal gait recognition. Existing graph convolutional networks (GCNs)-based methods either only consider the locomotion information of the ...

Referring expression comprehension aims to localize an object in an image based on a natural language expression. This task is challenging due to the scarcity of large-scale annotated data, which prompts the research of zero-shot methods. In zero-...

In some specific scenarios, a face sketch can be used to identify a person. However, drawing a face sketch often requires excellent skills and is time-consuming, which seriously hinders its widespread in the actual scenarios. The new framework of ...

The Few-shot image recognition attempts to recognize images from a novel class with only a limited number of labeled training images, which is a few-shot learning (FSL) task. FSL is very challenging. Limited labeled training samples cannot ...

• Incorporating multi-scale task-aware local structure learning and multi-scale structure graph modeling.
• Adaptively capturing the local structures at each scale based on task embeddings.
• Introducing a multi-scale graph attention ...

The rapid growth in the storage scale of wide-area distributed file systems (DFS) calls for fast and scalable metadata management. Metadata replication is the widely used technique for improving the performance and scalability of metadata ...

Develop a time-dependent deep learning model to accurately predict the prognosis of pediatric glioma patients, which can assist clinicians in making precise treatment decisions and reducing patient risk.

The study involved ...

• DeepSurv bests CoxPH, RSF, N-MTLR for pediatric glioma survival, C-index 0.881.
• DeepSurv-based online tool offers real-time survival curves for glioma treatment.
• Prognosis factors: tumor stage, histological, therapy, size, age, ...

Rational foot-end trajectory planning and control are of great significance for stable-legged walking of heavy-duty multi-legged robots. To achieve a fast, active, and compliant response of the leg actuator to disturbances for improvement of the ...

• A swing phase trajectory planning method is proposed to fully use leg workspace.
• A foot-end consensus controller is proposed to encode consistent error of the robot.
• The sliding mode controller based on consistent error improves ...

Many recommender models have been proposed to investigate how to incorporate multimodal content information into traditional collaborative filtering framework effectively. The use of multimodal information is expected to provide more comprehensive ...

Achieving control of mechanical systems using finite-time single-life methods presents significant challenges in safety and efficiency for existing control algorithms. To address these issues, the ConcertoRL algorithm is introduced, featuring two ...

The transportation system is an important part of the urban system, and the prosperity of the transportation system is the key to the prosperity of the city. In recent years, with the development and expansion of major cities in China, urban ...

With the rapid development of social media, the wide dissemination of fake news on social media is increasingly threatening both individuals and society. One of the unique challenges for fake news detection on social media is how to detect fake news on ...

The stock trend prediction problem refers to forecasting future stock price trends. In recent years, some methods discovered causal relations between stocks to address this problem. However, traditional causal discovery methods face unique challenges in ...

Self-supervised Pretrained Models (PTMs) have demonstrated remarkable performance in computer vision and natural language processing tasks. These successes have prompted researchers to design PTMs for time series data. In our experiments, most self-...

Reasoning over Temporal Knowledge Graphs (TKGs) aims to predict future facts based on the given history. One of the key challenges for prediction is to analyze the evolution process of facts. Most existing works focus on exploring evolutionary ...

• We introduce the latent evolving factors for TKG prediction.
• We propose a novel evolving factor enhanced Temporal Meta-Learner module.
• Extensive experiments are conducted to show the effectiveness of MetaTKG++.

Brain-Computer Interfaces (BCIs) using functional near-infrared spectroscopy (fNIRS) hold promise for future interactive user interfaces due to their ease of deployment and declining cost. However, they typically require a separate calibration process ...