信息工程最新文献

{"title":"KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt","authors":"Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang","doi":"10.26599/bdma.2023.9020036","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020036","url":null,"abstract":"","PeriodicalId":7,"journal":{"name":"ACS Applied Polymer Materials","volume":"53 21","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141235501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation","authors":"Siyi XUN ,&nbsp;Yan ZHANG ,&nbsp;Sixu DUAN ,&nbsp;Mingwei WANG ,&nbsp;Jiangang CHEN ,&nbsp;Tong TONG ,&nbsp;Qinquan GAO ,&nbsp;Chantong LAM ,&nbsp;Menghan HU ,&nbsp;Tao TAN","doi":"10.1016/j.vrih.2023.05.001","DOIUrl":"https://doi.org/10.1016/j.vrih.2023.05.001","url":null,"abstract":"<div><h3>Background</h3><p>Magnetic resonance imaging (MRI) has played an important role in the rapid growth of medical imaging diagnostic technology, especially in the diagnosis and treatment of brain tumors owing to its non-invasive characteristics and superior soft tissue contrast. However, brain tumors are characterized by high non-uniformity and non-obvious boundaries in MRI images because of their invasive and highly heterogeneous nature. In addition, the labeling of tumor areas is time-consuming and laborious.</p></div><div><h3>Methods</h3><p>To address these issues, this study uses a residual grouped convolution module, convolutional block attention module, and bilinear interpolation upsampling method to improve the classical segmentation network U-net. The influence of network normalization, loss function, and network depth on segmentation performance is further considered.</p></div><div><h3>Results</h3><p>In the experiments, the Dice score of the proposed segmentation model reached 97.581%, which is 12.438% higher than that of traditional U-net, demonstrating the effective segmentation of MRI brain tumor images.</p></div><div><h3>Conclusions</h3><p>In conclusion, we use the improved U-net network to achieve a good segmentation effect of brain tumor MRI images.</p></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"6 3","pages":"Pages 203-216"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096579623000232/pdfft?md5=5e16730452951aa1e3b2edacee01d06e&pid=1-s2.0-S2096579623000232-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141481556","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}

{"title":"AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business","authors":"Sunil Kumar","doi":"10.26599/bdma.2023.9020033","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020033","url":null,"abstract":"","PeriodicalId":7,"journal":{"name":"ACS Applied Polymer Materials","volume":"1 3","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage","authors":"Dominic Davies-Tagg, Ashiq Anjum, Ali Zahir, Lu Liu, Muhammad Usman Yaseen, Nick Antonopoulos","doi":"10.26599/bdma.2023.9020039","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020039","url":null,"abstract":"","PeriodicalId":7,"journal":{"name":"ACS Applied Polymer Materials","volume":"10 4","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning","authors":"Shahriar Kaisar, Md. Mamunur Rashid, Abdullahi Chowdhury, S. S. Shafin, J. Kamruzzaman, A. Diro","doi":"10.26599/bdma.2023.9020041","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020041","url":null,"abstract":"","PeriodicalId":7,"journal":{"name":"ACS Applied Polymer Materials","volume":"82 13","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and evaluation of Swift routing for payment channel network","authors":"Neeraj Sharma ,&nbsp;Kalpesh Kapoor ,&nbsp;V. Anirudh","doi":"10.1016/j.bcra.2023.100179","DOIUrl":"10.1016/j.bcra.2023.100179","url":null,"abstract":"<div><p>Payment Channel Networks (PCNs) are a promising alternative to improve the scalability of a blockchain network. A PCN employs off-chain micropayment channels that do not need a global block confirmation procedure, thereby sacrificing the ability to confirm transactions instantaneously. PCN uses a routing algorithm to identify a path between two users who do not have a direct channel between them to settle a transaction. The performance of most of the existing centralized path-finding algorithms does not scale with network size. The rapid growth of Bitcoin PCN necessitates considering distributed algorithms. However, the existing decentralized algorithms suffer from resource underutilization. We present a decentralized routing algorithm, Swift, focusing on fee optimization. The concept of a secret path is used to reduce the path length between a sender and a receiver to optimize the fees. Furthermore, we reduce a network structure into combinations of cycles to theoretically study fee optimization with changes in cloud size. The secret path also helps in edge load sharing, which results in an improvement of throughput. Swift routing achieves up to 21% and 63% in fee and throughput optimization, respectively. The results from the simulations follow the trends identified in the theoretical analysis.</p></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 2","pages":"Article 100179"},"PeriodicalIF":5.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096720923000544/pdfft?md5=7b1d5eb08e2f11797584988bf124ed9f&pid=1-s2.0-S2096720923000544-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139191289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum regarding missing informed consents and ethic approval in previously published articles","authors":"","doi":"10.1016/j.jobb.2024.05.003","DOIUrl":"https://doi.org/10.1016/j.jobb.2024.05.003","url":null,"abstract":"","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 2","pages":"Page 135"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588933824000219/pdfft?md5=b67e62575b4a4adff1684815153d99af&pid=1-s2.0-S2588933824000219-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141541774","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}

{"title":"An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems","authors":"Sankaramoorthy Muthubalaji, Naresh Kumar Muniyaraj, Sarvade Pedda Venkata Subba Rao, Kavitha Thandapani, Pasupuleti Rama Mohan, Thangam Somasundaram, Yousef Farhaoui","doi":"10.26599/bdma.2023.9020022","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020022","url":null,"abstract":"","PeriodicalId":7,"journal":{"name":"ACS Applied Polymer Materials","volume":"118 17","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction","authors":"Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, F. Gauterin","doi":"10.26599/bdma.2023.9020028","DOIUrl":"https://doi.org/10.26599/bdma.2023.9020028","url":null,"abstract":"","PeriodicalId":7,"journal":{"name":"ACS Applied Polymer Materials","volume":"92 3","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing co-infection dynamics: A mathematical approach using fractional order modeling and Laplace-Adomian decomposition","authors":"Isa Abdullahi Baba ,&nbsp;Fathalla A. Rihan ,&nbsp;Evren Hincal","doi":"10.1016/j.jobb.2024.05.002","DOIUrl":"10.1016/j.jobb.2024.05.002","url":null,"abstract":"<div><p>The co-infection of HIV and COVID-19 is a pressing health concern, carrying substantial potential consequences. This study focuses on the vital task of comprehending the dynamics of HIV-COVID-19 co-infection, a fundamental step in formulating efficacious control strategies and optimizing healthcare approaches. Here, we introduce an innovative mathematical model grounded in Caputo fractional order differential equations, specifically designed to encapsulate the intricate dynamics of co-infection. This model encompasses multiple critical facets: the transmission dynamics of both HIV and COVID-19, the host’s immune responses, and the influence of treatment interventions. Our approach embraces the complexity of these factors to offer an exhaustive portrayal of co-infection dynamics. To tackle the fractional order model, we employ the Laplace-Adomian decomposition method, a potent mathematical tool for approximating solutions in fractional order differential equations. Utilizing this technique, we simulate the intricate interactions between these variables, yielding profound insights into the propagation of co-infection. Notably, we identify pivotal contributors to its advancement. In addition, we conduct a meticulous analysis of the convergence properties inherent in the series solutions acquired through the Laplace-Adomian decomposition method. This examination assures the reliability and accuracy of our mathematical methodology in approximating solutions. Our findings hold significant implications for the formulation of effective control strategies. Policymakers, healthcare professionals, and public health authorities will benefit from this research as they endeavor to curtail the proliferation and impact of HIV-COVID-19 co-infection.</p></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 2","pages":"Pages 113-124"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588933824000207/pdfft?md5=5e953fc571289722d8dcd925b1ff0a92&pid=1-s2.0-S2588933824000207-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141032851","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}