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It is crucial to analyze HE-stained histopathological whole slide images (WSIs) to classify PD-L1 status for non-small cell lung cancer (NSCLC) patients, due to the expensive immunohistochemical examination performed in practical clinics. Usually, ...

This paper deals with a major challenge in cyber-security: the need to respond to ever renewed techniques used by attackers in order to avoid detection based on analysing static features of malware. These constantly renewed techniques consist of ...

Visible-infrared person re-identification (VI-ReID) is a tricky cross-modality retrieval problem, where main challenge is the significant modality discrepancy. Existing methods mainly focus on bridging the relation between modalities by shared ...${}^{\mathrm{}}$${}^{\mathrm{}}$

The emergence of digital media has changed the way people live and learn. In the context of the new era, digital media is gradually integrating into people’s life and learning. Digital media contains massive images, and fine-grained image ...

This paper analyzes the efficiency of various machine learning models (artificial neural networks, random forest, decision tree, AdaBoost and XGBoost) against the evolution of VBA-based (Visual Basic for Applications) malware over a large period ...

The domain name system is an essential part of the network, and target hosts are often attacked by malicious domain names to steal resources. Some traditional detection methods have low accuracy, poor generalization ability, and high resource ...

Existing vehicle re-identification (Re-ID) methods usually combine global features and local features to meet the challenge of inter-class similarity and intra-class variance, but almost all existing methods rely on extra auxiliary networks to ...

This paper presents a study on the detection performance of MSOffice-embedded malware; the detection models were trained and tested using a very large database of malicious and benign MSOffice documents (1.8 million files), collected over a long ...

Previous natural image matting algorithms have difficulties with transition regions in the foreground and background, such as tiny and detailed structures like hair. This paper argues that more efficient low-level features can help the network ...

Computer science has grown rapidly since its inception in the 1950s and the pioneers in the field are celebrated annually by the A.M. Turing Award. In this paper, we attempt to shed light on the path to influential computer scientists by examining ...

Network traffic classification is important for the management of network resource and the support quality of multimedia services. To realize the fine-grained classification of typical Internet video traffic, this paper studies and analyses the ...

In view of the problem of data overload on the Internet platform, it is increasingly difficult for users to dig out useful and useful information. Many scholars have proposed various recommendation systems, but when calculating user similarity, ...

Opinion mining refers to extract subjective information from text data using tools such as natural language processing (NLP), text analysis and computational linguistics. Micro-blogging and social network are the most popular Web 2.0 applications, like ...

We propose a procedure for extracting comparison matrices from informal product descriptions.We evaluate our proposal against numerous categories of products mined from BestBuy.Matrices exhibit numerous comparable information and can supplement or even ...

Moving Object Tracking (MOT) is one of the frequent used tasks in computer vision systems and on the same time a challenging issue particularly in darkness. Vehicle tracking involves finding new position of vehicles in consecutive frames. This paper ...

Compilation optimization is critical for software performance. Before a product releases, the most effective algorithm combination should be chosen to minimize the object file size or to maximize the running speed. Compilers like GCC usually have ...

In this paper we present an instant action recognition method, which is able to recognize an action in real-time from only two continuous video frames. For the sake of instantaneity, we employ two types of computationally efficient but perceptually ...

Highlights Able to deal with the tendency of many users to express their views in non-standard language. Detects the targets of users' opinions in multi-domain scenarios. Linguistic modularized knowledge model with low-cost adaptability. Hierarchical ...