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The original online fountain codes discard a large number of symbols that do not meet the requirements at the decoder. To improve channel utilization, this article proposes a new online fountain code. In the completion phase, the proposed code ...

By catching some selected encoded symbols discarded in the original online fountain codes and giving an optimal degree selection strategy of encoded symbols, the proposed online fountain code improves the receiving rules of the encoded symbols. The ...

Among athletes and sports fans, it is common to believe that one victory leads to another. Such an effect is known as the hot-hand effect or, simply, a winning streak. This effect was most often associated with traditional sports, however, people ...

Industrial recommendation systems process billions of daily user feedback which are complex and noisy. Efficiently uncovering user preference from these signals becomes crucial for high-quality recommendation. We argue that those signals are not ...

In this paper, we develop an algorithm for federated principal component analysis (PCA) with emphases on both communication efficiency and data privacy. Generally speaking, federated PCA algorithms based on direct adaptations of classic iterative ...

Depression has become a worldwide public health concern in recent years. The online social network can be served as a tool to predict latent depressed users. However, existing studies primarily use machine learning or deep learning methods on ...

Vision-based estimation of the motion of a moving target is usually formulated as a bearing-only estimation problem where the visual measurement is modeled as a bearing vector. Although the bearing-only approach has been studied for decades, a ...

To enhance resource efficiency and model deployability of neural networks, we propose a neural-layer architecture based on Householder weighting and absolute-value activating, called Householder-absolute neural layer or simply Han-layer. Compared ...

In this article, we present a coding method called expanding-window zigzag decodable fountain code with unequal error protection property (EWF-ZD UEP code) to achieve scalable multimedia transmission. The key idea of the EWF-ZD UEP code is to utilize bit-...

For assisted driving or unmanned driving, various information acquisition and comprehensive and effective information utilization will make the driving assistance system and the driving measures more reliable. With the support of advanced information ...

How to localize the rumor source is an extremely important matter for all sectors of the society. Many researchers have tried to use deep-learning-based graph models to detect rumor sources, but they have neglected how to train their deep-learning-based ...

Visual detection of micro aerial vehicles (MAVs) has received increasing research attention in recent years due to its importance in many applications. However, the existing approaches based on either appearance or motion features of MAVs still face ...

The increasing prevalence of artificial intelligence-based knowledge reasoning has contributed to more accurate and efficient auxiliary diagnoses. However, a majority of the disease prediction methods concentrate on the symptoms themselves while ...

Weakly-supervised learning has emerged as a compelling method for object detection by reducing the fully annotated labels requirement in the training procedure. Recently, some works have treated the detection task as a classification task, ...

In pursuit of impressive performance, existing DCNN-based approaches of human pose estimation usually use massive networks and large-size images to train a deep model. When applying these deep based methods in real-time systems, current works try ...

• A novel framework is proposed for efficient human pose estimation.
• A style supervised online downscaler is designed to compress input images to thumbnail ones.
• A dual-branch auto-encoding strategy is designed for refining the ...

The rise of illegal activities involving blockchain digital currencies is a growing concern. Criminals exploit the anonymity and decentralization of blockchain to increase the accessibility of money laundering, fraud, and illegal fund flows. This ...

We introduce Back-Modality, a novel data augmentation schema predicated on modal transformation. Data from an initial modality undergo a transformation to an intermediate modality, followed by a reverse transformation. This framework serves dual roles. ...

Content caching in mobile networks is a highly promising technology for reducing traffic load latency and energy consumption levels. Its fundamental goal is to satisfy the supply-and-demand relationships between content providers and content-requesting ...

In recent years, the security of industrial systems has received high attention. Once a problem occurs, it is necessary to trace back the user access records to investigate the issue. Blockchain-based identity verification schemes have been applied to ...

Due to the significant losses caused by vulnerabilities, the security of smart contracts has attracted widespread attention and research. Existing methods for detecting smart contract vulnerabilities can be classified into traditional detection ...

Effective feature extraction is a key component in image recognition for robot vision. This paper presents an improved contrastive learning-based image feature extraction and classification model, termed SimCLR-Inception, to realize effective and ...$\mathrm{}$