[AISWorld] Most Read Articles (2023), Connection Science, Taylor & Francis

[Editorial Manager]

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  Connection Science
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We are pleased to announce the list of  Most Read Articles published in 2023.

Articles:
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Title: A collaborative auditing scheme with dynamic data updates based on blockchain
DOI: https://doi.org/10.1080/09540091.2023.2213863
Abstract: Cloud data auditing is essential to ensure the integrity of cloud data. The main idea of cloud auditing is to entrust the audit task to a third-party auditor (TPA) with powerful computing ability. However, ...
　　　
Title: BFG: privacy protection framework for internet of medical things based on blockchain and federated learning
DOI: https://doi.org/10.1080/09540091.2023.2199951
Abstract: The deep integration of Internet of Medical Things (IoMT) and Artificial intelligence makes the further development of intelligent medical services possible, but privacy leakage and data security problems ...
　　　　
Title: IVP-YOLOv5: an intelligent vehicle-pedestrian detection method based on YOLOv5s
DOI: https://doi.org/10.1080/09540091.2023.2168254
Abstract: Computer vision is now vital in intelligent vehicle environment perception systems. However, real-time small-scale pedestrian detection in intelligent vehicle environment perception systems is ...
　　　
Title: Recognition of expiry data on food packages based on improved DBNet
DOI: https://doi.org/10.1080/09540091.2023.2202363
Abstract: To prevent products with missing character information from reaching the market, manufacturers need an automatic character recognition method. One of the key problems ...
　　　
Title: Lightweight multilayer interactive attention network for aspect-based sentiment analysis
DOI: https://doi.org/10.1080/09540091.2023.2189119
Abstract: Aspect-based sentiment analysis (ABSA) aims to automatically identify the sentiment polarity of specific aspect words in a given sentence or document. Existing studies ...
　　　　
Title: Multi-branch feature learning based speech emotion recognition using SCAR-NET
DOI: https://doi.org/10.1080/09540091.2023.2189217
Abstract: Speech emotion recognition (SER) is an active research area in affective computing. Recognizing emotions from speech signals ...
　　　　
Title: Image super-resolution reconstruction based on multi-scale dual-attention
DOI: https://doi.org/10.1080/09540091.2023.2182487
Abstract: Image super-resolution reconstruction is one of the methods to improve resolution by learning the inherent features and attributes of images. However, ...
　　　
Title: Full-span named entity recognition with boundary regression
DOI: https://doi.org/10.1080/09540091.2023.2181483
Abstract: Span classification is a popular method for nested named entity recognition. To recognise full-span named entities, ...
　　　
Title: Quality medical data management within an open AI architecture – cancer patients case
DOI: https://doi.org/10.1080/09540091.2023.2194581
Abstract: In contemporary society people constantly are facing situations that influence appearance of serious diseases. For the development of intelligent decision support systems and services ...
　　
Title: Improving transaction safety via anti-fraud protection based on blockchain
DOI: https://doi.org/10.1080/09540091.2022.2163983
Abstract: Financial enterprises generate profits based on economic development. More importantly, a healthy market is difficult to achieve due to their susceptibility to the parasitic credit card fraud transactions that accompany economic growth, ...
　　
Title: Monocular vision based on the YOLOv7 and coordinate transformation for vehicles precise positioning
DOI: https://doi.org/10.1080/09540091.2023.2166903
Abstract: Logistics tracking and positioning is a critical part of the discrete digital workshop, which is widely applied in many fields (e.g. industry and transport). However, ...


Connection Science is an interdisciplinary open-access journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing.

Connection Science is SCIE JCR Q1 (best quartile), IF:5.3 (2022) and CiteScore 5.2. For more details on Metrics, please visit 
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Connection Science, Taylor & Francis
https://www.tandfonline.com/ccos20