计算机科学最新文献

{"title":"Brain-like Cognition-Driven Model Factory for IIoT Fault Diagnosis by Combining LLMs With Small Models","authors":"Yuru Liu, Weishan Zhang, Zhicheng Bao, Xudong Chai, Mu Gu, Wei Jiang, Zichao Zhang, Ye Tian, Fei-Yue Wang","doi":"10.1109/jiot.2024.3503274","DOIUrl":"https://doi.org/10.1109/jiot.2024.3503274","url":null,"abstract":"","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"14 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why do people customize avatars in the metaverse? Curiosity and SOR model perspective","authors":"Suhyoung Ahn, Byoungho Ellie Jin, Hyesim Seo","doi":"10.1108/intr-11-2023-1042","DOIUrl":"https://doi.org/10.1108/intr-11-2023-1042","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>The metaverse, a virtual space where one can build and explore with others using avatars, is drawing global interest. Then questions arise: What drives consumers to customize their avatars and purchase virtual items in the metaverse? Who customizes and purchases virtual items more than others? To find the answers, this study tested a research model that explains why consumers customize their avatars and buy virtual items in the metaverse.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Based on the stimuli-organism-response model, this study posits that metaverse characteristics (i.e. escapism, visual attractiveness, social interaction and autonomy) arouse consumers’ curiosity toward the metaverse, which in turn evokes avatar customization behavior and virtual item purchase intention. Survey data from 501 metaverse-experienced consumers in both the US and Korea are analyzed.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The result revealed that all four metaverse characteristics were found to stimulate consumers’ curiosity. Consumers’ curiosity enhances avatar customization behavior and purchase intention of the virtual items. Further, avatar customization behavior increases the purchase intention of virtual items.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>The findings provide valuable insights into how metaverse platforms can effectively engage consumers by stimulating curiosity, especially through social interaction, and offering extensive avatar customization options and virtual items.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study highlights how the metaverse’s open-ended experiences, user-driven customization and social interactions – unlike traditional online games – spark consumer curiosity. It emphasizes the pivotal role of curiosity in driving metaverse engagement and highlights the need to consider it as a central construct in future research. Additionally, this study provides managerial implications for virtual item purchases in the metaverse.</p><!--/ Abstract__block -->","PeriodicalId":54925,"journal":{"name":"Internet Research","volume":"69 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collaborative Distributed Machine Learning","authors":"David Jin, Niclas Kannengießer, Sascha Rank, Ali Sunyaev","doi":"10.1145/3704807","DOIUrl":"https://doi.org/10.1145/3704807","url":null,"abstract":"Various collaborative distributed machine learning (CDML) systems, including federated learning systems and swarm learning systems, with different key traits were developed to leverage resources for the development and use of machine learning (ML) models in a confidentiality-preserving way. To meet use case requirements, suitable CDML systems need to be selected. However, comparison between CDML systems to assess their suitability for use cases is often difficult. To support comparison of CDML systems and introduce scientific and practical audiences to the principal functioning and key traits of CDML systems, this work presents a CDML system conceptualization and CDML archetypes.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"14 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Streaming quanta sensors for online, high-performance imaging and vision","authors":"Tianyi Zhang, Matthew Dutson, Vivek Boominathan, Mohit Gupta, Ashok Veeraraghavan","doi":"10.1109/tpami.2024.3501154","DOIUrl":"https://doi.org/10.1109/tpami.2024.3501154","url":null,"abstract":"","PeriodicalId":13426,"journal":{"name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","volume":"252 1","pages":""},"PeriodicalIF":23.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy-Efficient Trajectory Optimization of Autonomous Driving Systems With Personalized Driving Style","authors":"Jinhong Sun, Hebing Liu, Heshou Wang, Ka Wai Eric Cheng","doi":"10.1109/tii.2024.3441662","DOIUrl":"https://doi.org/10.1109/tii.2024.3441662","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"6 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synchrosqueezed Transform Based Multicondense Residual Network for Ultra-Short-Term Solar Power Forecasting","authors":"Garima Prashal, Parasuraman Sumathi, Narayana Prasad Padhy","doi":"10.1109/tii.2024.3485693","DOIUrl":"https://doi.org/10.1109/tii.2024.3485693","url":null,"abstract":"","PeriodicalId":13301,"journal":{"name":"IEEE Transactions on Industrial Informatics","volume":"19 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning","authors":"Zheng Wang, Jiaxi Xie, Rong Wang, Feiping Nie, Xuelong Li","doi":"10.1109/tnnls.2024.3488087","DOIUrl":"https://doi.org/10.1109/tnnls.2024.3488087","url":null,"abstract":"","PeriodicalId":13303,"journal":{"name":"IEEE transactions on neural networks and learning systems","volume":"57 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review","authors":"Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci","doi":"10.1145/3704806","DOIUrl":"https://doi.org/10.1145/3704806","url":null,"abstract":"<jats:italic> Bots </jats:italic> are software systems designed to support users by automating specific processes, tasks, or activities. When these systems implement a conversational component to interact with users, they are also known as <jats:italic> conversational agents </jats:italic> or <jats:italic>chatbots</jats:italic> . Bots—particularly in their conversation-oriented version and AI-powered—have seen increased adoption over time for software development and engineering purposes. Despite their exciting potential, which has been further enhanced by the advent of Generative AI and Large Language Models, bots still face challenges in terms of development and integration into the development cycle, as practitioners report that bots can add difficulties rather than provide improvements. In this work, we aim to provide a taxonomy for characterizing bots, as well as a series of challenges for their adoption in software engineering, accompanied by potential mitigation strategies. To achieve our objectives, we conducted a <jats:italic>multivocal literature review</jats:italic> , examining both research and practitioner literature. Through such an approach, we hope to contribute to both researchers and practitioners by providing (i) a series of future research directions to pursue, (ii) a list of strategies to adopt for improving the use of bots for software engineering purposes, and (iii) fostering technology and knowledge transfer from the research field to practice—one of the primary goals of multivocal literature reviews.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"23 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feedback Design With VQ-VAE for Robust Precoding in Multi-User FDD Systems","authors":"Nurettin Turan, Michael Baur Jianqing Li, Wolfgang Utschick","doi":"10.1109/lwc.2024.3503066","DOIUrl":"https://doi.org/10.1109/lwc.2024.3503066","url":null,"abstract":"","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"23 1","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge","authors":"May Malka, Erez Farhan, Hai Morgenstern, Nir Shlezinger","doi":"10.1109/twc.2024.3497167","DOIUrl":"https://doi.org/10.1109/twc.2024.3497167","url":null,"abstract":"","PeriodicalId":13431,"journal":{"name":"IEEE Transactions on Wireless Communications","volume":"254 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}