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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68555 条记录，以下是151-160 订阅

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Rethinking Vocabulary Augmentation: Addressing the Challenges of Low-Resource Languages in Multilingual Models 31

Rethinking Vocabulary Augmentation: Addressing the Challenge...

引用

31st international conference on Computational Linguistics, COLING 2025

作者： Lin, Nankai Zeng, Peijian Zheng, Weixiong Jiang, Shengyi Zhou, Dong Yang, Aimin School of Information Science and Technology Guangdong University of Foreign Studies China School of Computer Science and Technology Guangdong University of Technology China School of Information Technology and Engineering Guangzhou College of Commerce China School of Computer Science and Intelligence Education Lingnan Normal University China

ISBN: (纸本)9798891761964

The performance of multilingual language models (MLLMs) is notably inferior for low-resource languages (LRL) compared to high-resource ones, primarily due to the limited available corpus during the pre-training phase. This inadequacy stems from the under-representation of low-resource language words in the subword vocabularies of MLLMs, leading to their misidentification as unknown or incorrectly concatenated subwords. Previous approaches are based on frequency sorting to select words for augmenting vocabularies. However, these methods overlook the fundamental disparities between model representation distributions and frequency distributions. To address this gap, we introduce a novel Entropy-Consistency Word Selection (ECWS) method, which integrates semantic and frequency metrics for vocabulary augmentation. Our results indicate an improvement in performance, supporting our approach as a viable means to enrich vocabularies inadequately represented in current MLLMs. © 2025 Association for Computational Linguistics.

关键词： Computational linguistics

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The Design of a Wildlife Video Data Storage System Based on Hbase 24

The Design of a Wildlife Video Data Storage System Based on ...

引用

8th international conference on Electronic Information technology and computer Engineering, EITCE 2024

作者： Zhou, Xiaojian Zou, Jingnan Zhang, Zhen College of Information Engineering Hainan Vocational University of Science and Technology Hainan Haikou China Sanya racing Communication service Co. LTD Hainan Sanya China

ISBN: (纸本)9798400710094

Wildlife is a valuable natural resource and an important component of biodiversity and natural ecosystems. This design focuses on wildlife video data and proposes an automated deployment tool for the HBase database environment, quickly establishing a data foundation for training models. The design primarily includes using Shell scripts to automate the deployment of Hadoop and HBase clusters, simplifying the deployment process and improving efficiency. It also involves using Python to serialize wildlife videos and store them in the created or selected HBase tables. After performing data cleansing and serialization on the video data, it is stored in the corresponding table. This design introduces automated deployment and storage technology in the context of wildlife conservation, enhancing the efficiency of environment setup, reducing manual intervention errors, and improving reliability. © 2024 Copyright held by the owner/author(s).

关键词： Storage efficiency

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Class-Aware Contrastive Learning for Fine-Grained Skeleton-Based Action Recognition 17th

Class-Aware Contrastive Learning for Fine-Grained Skeleton-...

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17th Asian conference on computer Vision, ACCV 2024

作者： Bian, Xinyu Chang, Dongliang Yang, Yuqi He, Zhongjiang Liang, Kongming Ma, Zhanyu School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Department of Automation Tsinghua University Beijing China China Telecom Artificial Intelligence Technology Co. Ltd. Beijing China

ISBN: (纸本)9789819608843

Graph convolutional networks have significantly advanced skeleton-based action recognition by efficiently processing non-mesh skeleton sequences. However, existing methods struggle with fine-grained action recognition due to the high similarity of samples across categories. In this paper, we propose a class-aware contrastive learning framework designed to emphasize subtle motion feature differences. Our method enhances discriminative capability for fine-grained action recognition by refining negative sample selection in contrastive learning to prioritize samples from similar categories. Furthermore, our framework incorporates global context from multiple sequences during the graph learning process and utilizes memory banks to store rich instance information, enriching cross-sequence context understanding. Our method achieves remarkable performance compared to state-of-the-art methods on the NTU RGB+D, NW-UCLA, and FineGym datasets. Codes are available at: https://***/PRIS-CV/Class-Aware-Contrastive-Learning-for-A-ction-Recognition. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Contrastive Learning

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computer network information security monitoring system 2

Computer network information security monitoring system

引用

2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Lin, Hongkai Wuhan Business University Hubei Wuhan430056 China

ISBN: (纸本)9781510689053

Although traditional protection methods can improve the security of the network to a certain extent, its effect is often limited in the face of complex network environment and various attacks. Therefore, it is an important problem to be solved in the field of communication network security to find a more efficient and intelligent communication network link data security protection method. This paper proposes a computer network information security monitoring system combined with knowledge mapping technology, which aims to improve the data security protection effect of computer communication network. this paper designs and implements an information security situation awareness system, which can find and deal with network security threats in time by monitoring and analyzing network data traffic and security event information in real time, and improves the efficiency and level of information security protection. The results show that the information security situational awareness system based on artificial intelligence technology has high detection accuracy and strong real-time response capability, and can effectively deal with various network security threats. It has a good application prospect in data security protection of communication network link. © 2025 SPIE.

关键词： Network security Data communications computer security Defense and security Information security Data modeling Machine learning computer networks Evolutionary algorithms Education and training

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Privacy-Preserving Publishing Mechanism for Real-Time Vehicle Trajectory in Vehicle-to-Grid Networks 5

Privacy-Preserving Publishing Mechanism for Real-Time Vehicl...

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5th IEEE international conference on Power, Electronics and computer Applications, ICPECA 2025

作者： Wang, Yulong Xu, Jianbo Gong, Bo School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (纸本)9798331533694

The Vehicle-to-Grid (V2G) network is a smart grid technology generated under the background of the rapid development of new energy technology, which allows mobile energy storage vehicles (MESVs) to realize bidirectional energy exchange with the grid system. As distributed energy storage units within the V2G network, MESVs help meet the grid's load-balancing demands. To accurately schedule grid loads, V2G networks rely on MESVs' real-time trajectory data. After collecting this data, the central authority (CA) publishes it to the grid enterprise (GM) for load-balancing decisions. However, before publication, the CA must process the data to protect the location privacy of MESVs and prevent GM from extracting sensitive information. To address this privacy protection challenge during data publication, we propose a differential privacy-based mechanism. Our mechanism uses the unscented Kalman filter to predict and correct the published data at the sampling point and intelligently adjusts the sampling interval. Additionally, we introduce a privacy budget allocation method based on regional access frequency and travel time, enhancing privacy protection of trajectory in high-access areas and peak hours. Through security analysis and experimental validation, our mechanism effectively preserves the privacy of real-time vehicle trajectory data while ensuring data validity. © 2025 IEEE.

关键词： Vehicle-to-grid

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New extended sidon spaces with dimension k+1 8

New extended sidon spaces with dimension k+1

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2024 8th international conference on Mechanics, Mathematics and Applied Physics, ICMMAP 2024

作者： Wu, Lingling Li, Yu Fang, Lin Niu, Yongfeng College of Electrical Engineering Changzhou Vocational Institute of Mechatronic Technology Changzhou213164 China School of Computer Science and Artificial Intelligence and Aliyun School of Big Data Changzhou University Changzhou213164 China China Telecom Anhui Branch Hefei230071 China

In recent years, Sidon spaces have gained great popularity and applications in various fields such as multi-antenna communication systems, distributed storage systems, multimedia transmission, and network coding. With our further research into this field, it becomes evident that Sidon spaces are crucial in the field of constructing cyclic subspace codes. Currently, lots of papers focuse on how to construct Sidon spaces. Researchers find that through using the roots of irreducible polynomials and primitive elements over finite fields, we can sucessfully construct them. Based on the significant research conducted by previous scholars, we obtain several Sidon spaces which have new cardinality. Moreover, these Sidon spaces is beneficial to help us obtain better-performance subspace codes. © Published under licence by IOP Publishing Ltd.

关键词： Network coding

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Towards Maximizing Semantic Coverage for Image-Text Retrieval

Towards Maximizing Semantic Coverage for Image-Text Retrieva...

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2025 IEEE international conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Xu, Junhao Liu, Zheng Chen, Zhumin Shen, Fei School of Computer Science and Technology Shandong University China School of Computer Science and Technology Shandong University of Finance and Economics China School of Computer Science and Engineering Nanjing University of Science and Technology China

ISBN: (纸本)9798350368741

To establish semantic associations between images and texts, existing Image-Text Retrieval (ITR) methods primarily focus on fixed-scale fragments, which only identify explicit semantic categories. Consequently, semantic coverage is constrained, leading to the omission of certain semantic associations. To enlarge the semantic coverage, we propose the Semantic Coverage-Aware Network (SCA-Net). First, explicit semantic categories are identified by SCA-Net through analyzing the semantic membership of visual and textual fragments, thereby establishing more precise explicit semantic associations. Second, implicit semantic categories are identified by SCA-Net via adaptively aggregating visual and textual fragments across various scales using a co-occurrence-aware router, thereby significantly expanding the semantic coverage and establishing complete semantic associations. Third, image-text similarity is calculated using the attention mechanism over a broader range of semantic coverage. Extensive experiments demonstrate that SCA-Net significantly enhances ITR performance compared to state-of-the-art methods by maximizing semantic coverage. © 2025 IEEE.

关键词： Co-occurrence-aware router Image-text retrieval Semantic association Semantic category Semantic coverage

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Detecting Electromagnetic Vulnerabilities in Networking Topologies 5th

Detecting Electromagnetic Vulnerabilities in Networking Topo...

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Preethi, D. Verma, Upendra K. Arumugam, Jayachandran Alam, Intekhab Karnataka Bengaluru India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

This paper describes a technique of detecting electromagnetic vulnerabilities in networking topologies, consisting of Wi-Fi communications. A green approach is offered which entails the mixture of electromagnetic measurements from multiple antennae, and the utility of parameterization, optimization and clustering algorithms. Effects are generated to offer a complete breakdown of the electromagnetic residences of a community topology, permitting identity of weaknesses or regions of vulnerability. The resulting vulnerabilities may be used to guide layout changes, or as a first indicator of potential security problems. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Topology

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Paired Transmission in Networks

Paired Transmission in Networks

引用

international conference on Computational Engineering, ICCE 2023

作者： Sujana G, Jessy Sharon, Jane Olive Anitha, J. Department of Computer Science SRM Institute of Science and Technology Vadapalani Chennai India Department of Computing Technologies SRM Institute of Science and Technology Chennai India Department of Mathematics Rajalakshmi Institute of Technology Chennai India

ISBN: (纸本)9783031777639

The transmission of a vertex is defined as the sum of the lengths of all shortest paths between the chosen vertex and all other vertices in G. The transmission of a graph G is the sum of the transmissions of all its vertices which is nothing but twice its Wiener index. In location theory, sets of vertices, with the minimum (or maximum) distance in a graph, play a special role because they form target sets for locations of facilities. The framework is made more general by considering the sum of distances to a specified multiset of vertices referred to as profiles. In this paper, we have defined paired transmission of vertices for a network as a special case of profiles, referred to as a paired facility location. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Network theory (graphs)

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A Lightweight Method to Survey with Protecting Privacy yet Maintaining Accuracy 18th

A Lightweight Method to Survey with Protecting Privacy yet...

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18th international conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Wang, Yuxuan Di, Xinyu Liu, Ningbo Zhang, Xianchao Ren, Wei School of Computer Science China University of Geosciences Wuhan China Department of Computer Science University of Toronto TorontoONM5S 1A1 Canada International College Chongqing University of Technology Chongqing China Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province Jiaxing University Jiaxing China Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province Jiaxing University Jiaxing China Ministry of Education Chengdu China State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR CASM Beijing China

ISBN: (纸本)9783031714665

In a survey, a lot of questions and answers are listed and participators will select one of the answers for each question. Sometimes, participators may not be willing to select the preferred one item in the answers because the item may damage the privacy of themselves. If this question is not answered, then it reveals that the question or the answers are sensitive, which also damages the privacy. Besides, each participator may have distinct privacy concerns even for the same questions and answers, thus the privacy-aware questions and answers cannot be determined and be removed in advance. Thus, the dilemma is how to select the answers for privacy-aware questions yet maintain the utility of the answering results in the survey. In this paper, we propose a general method to protect the various privacy in the investigation without the knowledge of privacy to be protected in advance. The main idea is that participators can randomly select answers if the privacy is the concern for themselves in the answers for this question. Our method is lightweight so as to be convenient in practices. We extensively analyze the accuracy of survey results to justify that our method can protect the privacy yet maintain the utility of the investigation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Differential privacy

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