IEEE Open Journal of the Computer Society最新文献_第10页

A Word Sense Disambiguation Method Applied to Natural Language Processing for the Portuguese Language 葡萄牙语自然语言处理中的词义消歧方法

IEEE Open Journal of the Computer Society Pub Date : 2024-03-20 DOI: 10.1109/OJCS.2024.3396518

Clovis Holanda do Nascimento;Vinicius Cardoso Garcia;Ricardo de Andrade Araújo

{"title":"A Word Sense Disambiguation Method Applied to Natural Language Processing for the Portuguese Language","authors":"Clovis Holanda do Nascimento;Vinicius Cardoso Garcia;Ricardo de Andrade Araújo","doi":"10.1109/OJCS.2024.3396518","DOIUrl":"https://doi.org/10.1109/OJCS.2024.3396518","url":null,"abstract":"Natural language processing (NLP) and artificial intelligence (AI) have advanced significantly in recent years, enabling the development of various tasks, such as machine translation, text summarization, sentiment analysis, and speech analysis. However, there are still challenges to overcome, such as natural language ambiguity. One of the problems caused by ambiguity is the difficulty of determining the proper meaning of a word in a specific context. For example, the word “mouse” can mean a computer peripheral or an animal, depending on the context. This limitation can lead to an incorrect semantic interpretation of the processed sentence. In recent years, language models (LMs) have provided a new impetus to NLP and AI, including in the task of word sense disambiguation (WSD). LMs are capable of learning and generating texts as they are trained on large amounts of data. However, in the Portuguese language, there are still few studies on WSD using LMs. Given this scenario, this article presents a method for WSD for the Portuguese language. To do this, it uses the BERTimbau language model, which is specific to the Portuguese. The results will be evaluated using the metrics established in the literature.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"268-277"},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10535267","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141091244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ShadowBug: Enhanced Synthetic Fuzzing Benchmark Generation ShadowBug：增强型合成模糊基准生成

IEEE Open Journal of the Computer Society Pub Date : 2024-03-19 DOI: 10.1109/OJCS.2024.3378384

Zhengxiang Zhou;Cong Wang

{"title":"ShadowBug: Enhanced Synthetic Fuzzing Benchmark Generation","authors":"Zhengxiang Zhou;Cong Wang","doi":"10.1109/OJCS.2024.3378384","DOIUrl":"10.1109/OJCS.2024.3378384","url":null,"abstract":"Fuzzers have proven to be a vital tool in identifying vulnerabilities. As an area of active research, there is a constant drive to improve fuzzers, and it is equally important to improve benchmarks used to evaluate their performance alongside evolving heuristics. Current research has primarily focused on using CVE bugs as benchmarks, with synthetic benchmarks receiving less attention due to concerns about overfitting specific fuzzing heuristics. In this paper, we introduce ShadowBug, a new methodology that generates enhanced synthetic bugs. In contrast to existing synthetic benchmarks, our approach involves well-arranged bugs that fit specific distributions by quantifying the constraint-solving difficulty of each block. We also uncover implicit constraints of real-world bugs that prior research has overlooked and develop an integer-overflow-based transformation from normal constraints to their implicit forms. We construct a synthetic benchmark and evaluate it against five prominent fuzzers. The experiments reveal that 391 out of 466 bugs were detected, which confirms the practicality and effectiveness of our methodology. Additionally, we introduce a finer-grained evaluation metric called “bug difficulty,” which sheds more light on their heuristic strengths with regard to constraint-solving and bug exploitation. The results of our study have practical implications for future fuzzer evaluation methods.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"95-106"},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10474104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel NFT Solution for Assets Digitization and Authentication in Cyber-Physical Systems: Blueprint and Evaluation 网络物理系统中资产数字化和身份验证的新型 NFT 解决方案：蓝图与评估

IEEE Open Journal of the Computer Society Pub Date : 2024-03-18 DOI: 10.1109/OJCS.2024.3378424

Usman Khalil;Mueen Uddin;Owais Ahmed Malik;Ong Wee Hong

{"title":"A Novel NFT Solution for Assets Digitization and Authentication in Cyber-Physical Systems: Blueprint and Evaluation","authors":"Usman Khalil;Mueen Uddin;Owais Ahmed Malik;Ong Wee Hong","doi":"10.1109/OJCS.2024.3378424","DOIUrl":"10.1109/OJCS.2024.3378424","url":null,"abstract":"The blueprint of the proposed Decentralized Smart City of Things (DSCoT) has been presented with smart contracts development and deployment for robust security of resources in the context of cyber-physical systems (CPS) for smart cities. Since non-fungibility provided by the ERC721 standard for the cyber-physical systems (CPSs) components such as the admin, user, and IoT-enabled smart device/s in literature is explicitly missing, the proposed DSCoT devised the functionality of identification and authentication of the assets. The proposed identification and authentication mechanism in cyber-physical systems (CPSs) employs smart contracts to generate an authentication access code based on extended non-fungible tokens (NFTs), which are used to authorize access to the corresponding assets. The evaluation and development of the extended NFT protocol for cyber-physical systems have been presented with the public and private blockchain deployments for evaluation comparison. The comparison demonstrated up to 96.69% promising results in terms of execution cost, efficiency, and time complexity compared to other proposed NFT-based solutions.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"131-143"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10474129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures ALBERTA：变压器架构中基于算法的抗错能力

IEEE Open Journal of the Computer Society Pub Date : 2024-03-14 DOI: 10.1109/OJCS.2024.3400696

Haoxuan Liu;Vasu Singh;Michał Filipiuk;Siva Kumar Sastry Hari

{"title":"ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures","authors":"Haoxuan Liu;Vasu Singh;Michał Filipiuk;Siva Kumar Sastry Hari","doi":"10.1109/OJCS.2024.3400696","DOIUrl":"10.1109/OJCS.2024.3400696","url":null,"abstract":"Vision Transformers are being increasingly deployed in safety-critical applications that demand high reliability. Ensuring the correct execution of these models in GPUs is critical, despite the potential for transient hardware errors. We propose a novel algorithm-based resilience framework called ALBERTA that allows us to perform end-to-end resilience analysis and protection of transformer-based architectures. First, our work develops an efficient process of computing and ranking the resilience of transformers layers. Due to the large size of transformer models, applying traditional network redundancy to a subset of the most vulnerable layers provides high error coverage albeit with impractically high overhead. We address this shortcoming by providing a software-directed, checksum-based error detection technique aimed at protecting the most vulnerable general matrix multiply (GEMM) layers in the transformer models that use either floating-point or integer arithmetic. Results show that our approach achieves over 99% coverage for errors (single bit-flip fault model) that result in a mismatch with \u0000<inline-formula><tex-math>$< $</tex-math></inline-formula>\u00000.2% and \u0000<inline-formula><tex-math>$< $</tex-math></inline-formula>\u00000.01% computation and memory overheads, respectively. Lastly, we present the applicability of our framework in various modern GPU architectures under different numerical precisions. We introduce an efficient self-correction mechanism for resolving erroneous detection with an average of less than 2% overhead per error.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"6 ","pages":"85-96"},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530530","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141060659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique 使用 ECC 和分割技术安全存储加密钱包种子短语

IEEE Open Journal of the Computer Society Pub Date : 2024-03-09 DOI: 10.1109/OJCS.2024.3398794

Syeda Tayyaba Bukhari;Muhammad Umar Janjua;Junaid Qadir

{"title":"Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique","authors":"Syeda Tayyaba Bukhari;Muhammad Umar Janjua;Junaid Qadir","doi":"10.1109/OJCS.2024.3398794","DOIUrl":"10.1109/OJCS.2024.3398794","url":null,"abstract":"Blockchain technology enables users to control and record their cryptocurrency transactions through the use of digital wallets. As the use of blockchain technology and cryptocurrency wallets continues to grow in popularity, the potential for attacks on these wallets increases, as attackers seek to gain access to the large sums of cryptocurrency they contain. To mitigate these risks, it is important to conduct thorough security evaluations of wallets and implement strong protective measures. In recent years, there have been several incidents involving significant losses of cryptocurrency in crypto-wallets, and in this research, a comprehensive evaluation of seed phrase and password attack methods found in the published literature was conducted, and the topic was advanced by addressing the question of whether seed phrases are hackable. The research aims to use the elliptic-curve cryptography (ECC) encryption algorithm for storing the seed phrase online by encrypting the seed phrase and using the splitting technique to store the crypto wallet seed phrase. It was concluded that it is only possible to hack a seed phrase if a significant portion of it is already known, but even this would require a significant amount of time and computational power.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"278-289"},"PeriodicalIF":0.0,"publicationDate":"2024-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10526424","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140928213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing 6G Network Performance: AI/ML Framework for Proactive Management and Dynamic Optimal Routing 提升 6G 网络性能：用于主动管理和动态优化路由的 AI/ML 框架

IEEE Open Journal of the Computer Society Pub Date : 2024-03-08 DOI: 10.1109/OJCS.2024.3398540

Petro Mushidi Tshakwanda;Sisay Tadesse Arzo;Michael Devetsikiotis

{"title":"Advancing 6G Network Performance: AI/ML Framework for Proactive Management and Dynamic Optimal Routing","authors":"Petro Mushidi Tshakwanda;Sisay Tadesse Arzo;Michael Devetsikiotis","doi":"10.1109/OJCS.2024.3398540","DOIUrl":"10.1109/OJCS.2024.3398540","url":null,"abstract":"As 6G networks proliferate, they generate vast volumes of data and engage diverse devices, pushing the boundaries of traditional network management techniques. The limitations of these techniques underpin the need for a revolutionary shift towards AI/ML-based frameworks. This article introduces a transformative approach using our novel Speed-optimized LSTM (SP-LSTM) model, an embodiment of this crucial paradigm shift. We present a proactive strategy integrating predictive analytics and dynamic routing, underpinning efficient resource utilization and optimal network performance. This innovative, two-tiered system combines SP-LSTM networks and Reinforcement Learning (RL) for forecasting and dynamic routing. SP-LSTM models, boasting superior speed, predict potential network congestion, enabling preemptive action, while RL capitalizes on these forecasts to optimize routing and uphold network performance. This cutting-edge framework, driven by continuous learning and adaptation, mirrors the evolving nature of 6G networks, meeting the stringent requirements for ultra-low latency, ultra-reliability, and heterogeneity management. The expedited training and prediction times of SP-LSTM are game-changers, particularly in dynamic network environments where time is of the essence. Our work marks a significant stride towards integrating AI/ML in future network management, highlighting AI/ML's exceptional capacity to outperform conventional algorithms and drive innovative performance in 6G network management.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"303-314"},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10522874","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140942005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Analysis of Gossip Algorithms for Large Scale Wireless Sensor Networks 大规模无线传感器网络流言算法的性能分析

IEEE Open Journal of the Computer Society Pub Date : 2024-03-07 DOI: 10.1109/OJCS.2024.3397345

Sateeshkrishna Dhuli;Fouzul Atik;Anamika Chhabra;Prem Singh;Linga Reddy Cenkeramaddi

{"title":"Performance Analysis of Gossip Algorithms for Large Scale Wireless Sensor Networks","authors":"Sateeshkrishna Dhuli;Fouzul Atik;Anamika Chhabra;Prem Singh;Linga Reddy Cenkeramaddi","doi":"10.1109/OJCS.2024.3397345","DOIUrl":"10.1109/OJCS.2024.3397345","url":null,"abstract":"Gossip algorithms are often considered suitable for wireless sensor networks (WSNs) because of their simplicity, fault tolerance, and adaptability to network changes. They are based on the idea of distributed information dissemination, where each node in the network periodically sends its information to randomly selected neighbors, leading to a rapid spread of information throughout the network. This approach helps reduce the communication overhead and ensures robustness against node failures. They have been commonly employed in WSNs owing to their low communication overheads and scalability. The time required for every node in the network to converge to the average of its initial value is called the average time. The average time is defined in terms of the second-largest eigenvalue of a stochastic matrix. Thus, estimating and analyzing the average time required for large-scale WSNs is computationally complex. This study derives explicit expressions of average time for WSNs and studies the effect of various network parameters such as communication link failures, topology changes, long-range links, network dimension, node transmission range, and network size. Our theoretical expressions substantially reduced the computational complexity of computing the average time to \u0000<inline-formula><tex-math>$Oleft(n^{-3}right)$</tex-math></inline-formula>\u0000. Furthermore, numerical results reveal that the long-range links and node transmission range of WSNs can significantly reduce average time, energy consumption, and absolute error for gossip algorithms.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"290-302"},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10521818","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140928391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generic Quantum Blockchain-Envisioned Security Framework for IoT Environment: Architecture, Security Benefits and Future Research 面向物联网环境的通用量子区块链安全框架：架构、安全优势和未来研究

IEEE Open Journal of the Computer Society Pub Date : 2024-03-07 DOI: 10.1109/OJCS.2024.3397307

Mohammad Wazid;Ashok Kumar Das;Youngho Park

{"title":"Generic Quantum Blockchain-Envisioned Security Framework for IoT Environment: Architecture, Security Benefits and Future Research","authors":"Mohammad Wazid;Ashok Kumar Das;Youngho Park","doi":"10.1109/OJCS.2024.3397307","DOIUrl":"10.1109/OJCS.2024.3397307","url":null,"abstract":"Quantum cryptography has the potential to secure the infrastructures that are vulnerable to various attacks, like classical attacks, including quantum-related attacks. Therefore, quantum cryptography seems to be a promising technology for the future secure online infrastructures and applications, like blockchain-based frameworks. In this article, we propose a generic quantum blockchain-envisioned security framework for an Internet of Things (IoT) environment. We then discuss some potential applications of the proposed framework. We also highlight the security advantages of quantum cryptography-based systems. We explain the working of blockchain, applications of blockchain, types of blockchain, the structure of blockchain, the structure of blockchain in a classical blockchain, and the structure of a block in a quantum blockchain context. Next, the adverse effects of quantum computing on the security of blockchain-based frameworks are highlighted. Furthermore, the comparisons of quantum cryptography-based security schemes, like quantum key distribution, quantum digital signature, and quantum hashing schemes, are provided. Finally, some future research directions related to the designed generic quantum blockchain-envisioned security framework for IoT are provided.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"248-267"},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10521804","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140927997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems 关于在隐私保护推荐系统中使用联合学习的调查

IEEE Open Journal of the Computer Society Pub Date : 2024-03-02 DOI: 10.1109/OJCS.2024.3396344

Christos Chronis;Iraklis Varlamis;Yassine Himeur;Aya N. Sayed;Tamim M. AL-Hasan;Armstrong Nhlabatsi;Faycal Bensaali;George Dimitrakopoulos

{"title":"A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems","authors":"Christos Chronis;Iraklis Varlamis;Yassine Himeur;Aya N. Sayed;Tamim M. AL-Hasan;Armstrong Nhlabatsi;Faycal Bensaali;George Dimitrakopoulos","doi":"10.1109/OJCS.2024.3396344","DOIUrl":"10.1109/OJCS.2024.3396344","url":null,"abstract":"In the age of information overload, recommender systems have emerged as essential tools, assisting users in decision-making processes by offering personalized suggestions. However, their effectiveness is contingent on the availability of large amounts of user data, raising significant privacy and security concerns. This review article presents an extended analysis of recommender systems, elucidating their importance and the growing apprehensions regarding privacy and data security. Federated Learning (FL), a privacy-preserving machine learning approach, is introduced as a potential solution to these challenges. Consequently, the potential benefits and implications of integrating FL with recommender systems are explored and an overview of FL, its types, and key components, are provided. Further, the privacy-preserving techniques inherent to FL are discussed, demonstrating how they contribute to secure recommender systems. By illustrating case studies and significant research contributions, the article showcases the practical feasibility and benefits of combining FL with recommender systems. Despite the promising benefits, challenges, and limitations exist in the practical deployment of FL in recommender systems. This review outlines these hurdles, bringing to light the security considerations crucial in this context and offering a balanced perspective. In conclusion, the article signifies the potential of FL in transforming recommender systems, paving the path for future research directions in this intersection of technologies.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"227-247"},"PeriodicalIF":0.0,"publicationDate":"2024-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10517657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140840647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network 利用图谱和通用深度学习网络识别多文化手语的手势

IEEE Open Journal of the Computer Society Pub Date : 2024-02-28 DOI: 10.1109/OJCS.2024.3370971

Abu Saleh Musa Miah;Md. Al Mehedi Hasan;Yoichi Tomioka;Jungpil Shin

{"title":"Hand Gesture Recognition for Multi-Culture Sign Language Using Graph and General Deep Learning Network","authors":"Abu Saleh Musa Miah;Md. Al Mehedi Hasan;Yoichi Tomioka;Jungpil Shin","doi":"10.1109/OJCS.2024.3370971","DOIUrl":"10.1109/OJCS.2024.3370971","url":null,"abstract":"Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication bridge between hard of hearing and non-deaf individuals. The absence of a universal sign language (SL) leads to diverse nationalities having various cultural SLs, such as Korean, American, and Japanese sign language. Existing SLR systems perform well for their cultural SL but may struggle with other or multi-cultural sign languages (McSL). To address these challenges, this paper introduces a novel end-to-end SLR system called GmTC, designed to translate McSL into equivalent text for enhanced understanding. Here, we employed a Graph and General deep-learning network as two stream modules to extract effective features. In the first stream, produce a graph-based feature by taking advantage of the superpixel values and the graph convolutional network (GCN), aiming to extract distance-based complex relationship features among the superpixel. In the second stream, we extracted long-range and short-range dependency features using attention-based contextual information that passes through multi-stage, multi-head self-attention (MHSA), and CNN modules. Combining these features generates final features that feed into the classification module. Extensive experiments with five culture SL datasets with high-performance accuracy compared to existing state-of-the-art models in individual domains affirming superiority and generalizability.","PeriodicalId":13205,"journal":{"name":"IEEE Open Journal of the Computer Society","volume":"5 ","pages":"144-155"},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452793","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140008733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0