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Proceedings of the 2025 4th International Conference on Big Data, Information and computer Network

作者： Mingxi Han Chi Ma Siyuan Li Baoming Pu School of Software Liaoning Technical University Huludao Liaoning China School of Computer Science and Engineering Northeastern University Shenyang Liaoning China School of Electrical and Intelligent Control Liaoning Institute of Science and Engineering Jinzhou Liaoning China

ISBN: (纸本)9798400712425

Myocardial Infarction (MI) is a major global health threat, where rapid and accurate diagnosis is essential for improving treatment outcomes. This study proposes MSRC-TransBLSTM, a deep learning-based hierarchical hybrid model for the automatic detection of MI. The model combines spatial and temporal features through a hierarchical modeling strategy: multi-layer convolutional blocks and improved MSRC modules extract and optimize spatial features, strengthening the representation of both local and global features. For temporal modeling, the Transformer Encoder captures global dependencies, while the BLSTM focuses on refining local dynamics features. Experiments on the PTB-XL dataset demonstrated the model's strong performance across key metrics (Acc = 98.68%, Sen = 97.33%, F1 = 97.43%). Compared to other models, it achieves notable improvements in accuracy and feature representation, confirming its effectiveness in MI detection.

关键词： Deep Learning

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The Evolution of Language in Social Media Comments

arXiv

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arXiv 2024年

作者： Di Marco, Niccolò Loru, Edoardo Bonetti, Anita Serra, Alessandra Olga Grazia Cinelli, Matteo Quattrociocchi, Walter Department of Computer Science Sapienza University of Rome Italy Department of Computer Control and Management Engineering Sapienza University of Rome Italy Sapienza University of Rome Italy Tuscia University Italy

Understanding the impact of digital platforms on user behavior presents foundational challenges, including issues related to polarization, misinformation dynamics, and variation in news consumption. Comparative analyses across platforms and over different years can provide critical insights into these phenomena. This study investigates the linguistic characteristics of user comments over 34 years, focusing on their complexity and temporal shifts. Utilizing a dataset of approximately 300 million English comments from eight diverse platforms and topics, we examine the vocabulary size and linguistic richness of user communications and their evolution over time. Our findings reveal consistent patterns of complexity across social media platforms and topics, characterized by a nearly universal reduction in text length, diminished lexical richness, but decreased repetitiveness. Despite these trends, users consistently introduce new words into their comments at a nearly constant rate. This analysis underscores that platforms only partially influence the complexity of user comments. Instead, it reflects a broader, universal pattern of human behaviour, suggesting intrinsic linguistic tendencies of users when interacting online. © 2024, CC BY.

关键词： Linguistics

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Preprocessing Techniques for Rectal Cancer Diagnosis using MR Images 24

Preprocessing Techniques for Rectal Cancer Diagnosis using M...

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13th International Conference on Software and computer Applications, ICSCA 2024

作者： D'Almeida, Sonal Patreena Kamath, Surekha Rajagopal, K.V. Manjunath, K.N. Department Of Instrumentation And Control Engineering Manipal Institute Of Technology Manipal Academy Of Higher Education Manipal Karnataka576104 India Department Of Radiodiagnosis And Imaging Kasturba Medical College Manipal Academy Of Higher Education Manipal Karnataka576104 India Department Of Computer Science And Engineering Manipal Institute Of Technology Manipal Academy Of Higher Education Manipal Karnataka576104 India

ISBN: (纸本)9798400708329

The use of magnetic resonance (MR) Image has become more significant when treating rectal cancer. Rectal cancer can be staged more accurately with MRI, which serves as a great tool for choosing the most suitable course of action. Image pre-processing is used to improve the quality of image and making it better for analysis and further processing. The study carried out in this paper is concentrated on pre-processing methods like Gaussian and Sobel filtering. The filtering techniques were implemented on Pelvic MR images obtained from Kasturba Medical College (KMC), Manipal. The findings suggest that Sobel filtering had a superior output image quality, indicating its potential as a preferred preprocessing technique for enhancing Pelvic MR images in rectal cancer diagnosis and treatment planning. The output image efficiency is calculated by Peak to Signal Noise Ratio (PSNR) and Mean Square Error (MSE). © 2024 Owner/Author.

关键词： Mean square error

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MFTN: a multi-scale feature transfer network based on imatchformer for hyperspectral image super-resolution 24

MFTN: a multi-scale feature transfer network based on imatch...

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Proceedings of the 41st International Conference on Machine Learning

作者： Shuying Huang Mingyang Ren Yong Yang Xiaozheng Wang Yingzhi Wei School of Software Tiangong University Tianjin China School of Computer Science and Technology Tiangong University Tianjin China School of Control Science and Engineering Tiangong University Tianjin China

Hyperspectral image super-resolution (HISR) aims to fuse a low-resolution hyperspectral image (LR-HSI) with a high-resolution multispectral image (HR-MSI) to obtain a high-resolution hyperspectral image (HR-HSI). Due to some existing HISR methods ignoring the significant feature difference between LR-HSI and HR-MSI, the reconstructed HR-HSI typically exhibits spectral distortion and blurring of spatial texture. To solve this issue, we propose a multi-scale feature transfer network (MFTN) for HISR. Firstly, three multi-scale feature extractors are constructed to extract features of different scales from the input images. Then, a multi-scale feature transfer module (MFTM) consisting of three improved feature matching Transformers (IMatchFormers) is designed to learn the detail features of different scales from HR-MSI by establishing the crossmodel feature correlation between LR-HSI and degraded HR-MSI. Finally, a multiscale dynamic aggregation module (MDAM) containing three spectral aware aggregation modules (SAAMs) is constructed to reconstruct the final HR-HSI by gradually aggregating features of different scales. Extensive experimental results on three commonly used datasets demonstrate that the proposed model achieves better performance compared to state- of-the-art (SOTA) methods.

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Human-UAV Collaborative Task Scheduling for 360° Video Generating in Intelligent Transportation 8

Human-UAV Collaborative Task Scheduling for 360° Video Gene...

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8th International Conference on Virtual Reality, ICVR 2022

作者： Yuan, Zhiwei Tang, Hong Wang, Pengfei Yan, Zhaohong Zhou, Dongsheng Zhang, Qiang Wei, Xiaopeng School of Computer Science and Technology Dalian University of Technology Dalian116024 China Science and Technology on Electronic Information Control Laboratory Chengdu610036 China School of Software Engineering Dalian University Dalian116622 China

ISBN: (数字)9781665479110

ISBN: (纸本)9781665479110

With the rapid development of virtual reality technology, 360° video has been widely adopted in intelligent transportation, e.g., traffic monitoring, virtual driving, etc. Therefore, it is necessary to recruit workers and unmanned aerial vehicles (UAVs) to complete the task of video recording. However, we can not guarantee the quality of video recording by only employing workers or UAVs alone. Due to the real-Time nature of traffic, task scheduling for 360 video generating is a major challenge in intelligent transportation. In this paper, we propose a human-UAV collaborative 360° video recording task scheduling framework from the perspective of crowdsensing. We build a point of interest (POI) model according to the characteristics of urban intelligent transportation to determine the locations of the video recording tasks and the number of camera stands. We introduce the relay UAV as the video streaming data transmission node to ensure the quality of video transmission and design the route planning algorithm of the relay UAV to guide the route planning of the camera UAV to ensure recording task synchronization. Meanwhile, workers are introduced into the route planning algorithm of camera UAVs to compete for tasks. The simulation experiments of the urban environment show that our proposed framework outperforms worker-mode and UAV-mode under the same environmental settings. © 2022 IEEE.

关键词： Energy efficiency

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Resilient Routing Table Computation Based on Connectivity Preserving Graph Sequences 42

Resilient Routing Table Computation Based on Connectivity Pr...

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42nd IEEE International Conference on computer Communications, INFOCOM 2023

作者： Tapolcai, Janos Babarczi, Peter Ho, Pin-Han Ronyai, Lajos Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Telecommunications and Media Informatics BudapestH-1111 Hungary University of Waterloo Deptartment of Electrical and Computer Engineering Canada Institute for Computer Science and Control Eötvös Loránd Research Networkand Department of Algebra Hungary Institute of Mathematics Budapest University of Technology and Economics BudapestH-1111 Hungary

ISBN: (纸本)9798350334142

Fast reroute (FRR) mechanisms that can instantly handle network failures in the data plane are gaining attention in packet-switched networks. In FRR no notification messages are required as the nodes adjacent to the failure are prepared with a routing table such that the packets are re-routed only based on local information. However, designing the routing algorithm for FRR is challenging because the number of possible sets of failed network links and nodes can be extremely high, while the algorithm should keep track of which nodes are aware of the failure. In this paper, we propose a generic algorithmic framework that combines the benefits of Integer Linear Programming (ILP) and an effective approach from graph theory related to constructive graph characterization of k-connected graphs, i.e., edge splitting-off. We illustrate these benefits through arborescence design for FRR and show that (i) due to the ILP we have great flexibility in defining the routing problem, while (ii) the problem can still be solved very fast. We demonstrate through simulations that our framework outperforms state-of-the-art FRR mechanisms and provides better resilience with shorter paths in the arborescences. © 2023 IEEE.

关键词： Graph theory

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Modified Blood Oxygen Levels Detection

Modified Blood Oxygen Levels Detection

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International Conference on Electrical, control and Instrumentation engineering (ICECIE)

作者： Sai Sunil Kumar RK M. Ananthi T. Mangayarkarasi Jaya Darshini G Kalaivani U V Computer Science and Business Systems Sri Sairam Engineering College Chennai India Instrumentation and Control Engineering Sri Sairam Engineering College Chennai India

A gadget called an OXIMETER is used to measure blood oxygen levels. The oximeter does not produce correct results in people with scleroderma, those who have decreased tissue perfusion, such as is the case in anemia instances, and people who have digital ulcers. Scleroderma is an autoimmune illness in which the body attacks its own cells because it believes they are foreign invaders, making the skin rough and making it difficult to accurately measure blood oxygen levels. OXILASER is a gadget that combines an oximeter and a laser. The laser aids in penetrating through rough skin to easily and accurately measure blood oxygen levels.

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A New Mutimodel approach for modelling of fractional order interval transfer functions 20

A New Mutimodel approach for modelling of fractional order i...

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20th International Multi-Conference on Systems, Signals and Devices, SSD 2023

作者： Talmoudi, Samia Ksouri, Moufida Lahmari Applied College Department of Computer Science University of Tabuk Tabuk Saudi Arabia University of Tunis El Manar National Engineering School of Tunis LR11ES20 Analysis Design and Control of Systems Laboratory Tunis1002 Tunisia

ISBN: (纸本)9798350332568

This paper is focused on uncertain fractional order systems. In this context, a new modelling approach of uncertain fractional order systems represented by an explicit fractional order interval transfer function is proposed. This approach is based, essentially, on multimodel approach. In fact, firstly, two new determination methods of models' library, inspired from the Kharitonov approach, are exposed. Then, we propose to compute the validity degree of each model of the obtained library, by optimizing a constrained least squares problem. The global model is, finally deduced by fusion of outputs of the different library' models. To prove its efficiency and its precision, the proposed approach is then compared to the approximation approach of Oustaloup through two simulation examples. © 2023 IEEE.

关键词： Transfer functions

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Sampled-Data H∞control for Nonlinear Dynamical Intelligent Fuzzy Systems with Time-Varying Delay 34

Sampled-Data H∞Control for Nonlinear Dynamical Intelligent ...

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34th Chinese control and Decision Conference, CCDC 2022

作者： Qu, Zifang Du, Zhenbin Zhang, Guangyong Shandong Technology and Business University School of Mathematics and Information Science Yantai264003 China Yantai University School of Computer and Control Engineering Yantai264005 China Wuxi University Faculty of Science Wuxi214105 China

ISBN: (纸本)9781665478960

The manuscript explores the issue of the sampled-data H∞ control for the nonlinear intelligent fuzzy system which has time-varying delay. A T-S fuzzy model is employed to portray the system and the fuzzy controller is a sampled-data signal implemented by a zero-order holder. According to the stability theory of Lyapunov-Krasovskii functional, a fuzzy sampled-data H∞ control algorithm is gained. Moreover, by adopting linear matrix inequalities (LMIs), some sufficient conditions for the controller are acquired, which ensure the H∞ performance under a prescribed level. Furthermore, an application example of a mechanical system displays the proposed design. © 2022 IEEE.

关键词： Linear matrix inequalities

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A Novel Early Warning Model for Hand, Foot and Mouth Disease Prediction Based on a Graph Convolutional Network

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Biomedical and Environmental sciences 2022年第6期35卷 494-503页

作者： JI Tian Jiao CHENG Qiang ZHANG Yong ZENG Han Ri WANG Jian Xing YANG Guan Yu XU Wen Bo LIU Hong Tu NHC Key Laboratory of Medical Virology and Viral Diseases National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 100026China Academy of Cyber Science and Engineering Southeast UniversityNanjing 211189JiangsuChina Center for Biosafety Mega Science Chinese Academy of SciencesWuhan 430071HubeiChina Guangdong Center for Disease Control and Prevention Guangzhou 511430GuangdongChina Shandong Center for Disease Control and Prevention Jinan 250014ShandongChina LIST Key Laboratory of Computer Network and Information Integration(Southeast University)Ministry of EducationSoutheast UniversityNanjing 211189JiangsuChina

Objectives Hand,foot and mouth disease(HFMD)is a widespread infectious disease that causes a significant disease burden on *** achieve early intervention and to prevent outbreaks of disease,we propose a novel warning model that can accurately predict the incidence of *** We propose a spatial-temporal graph convolutional network(STGCN)that combines spatial factors for surrounding cities with historical incidence over a certain time period to predict the future occurrence of HFMD in Guangdong and Shandong between 2011 and *** 2011-2018 data served as the training and verification set,while data from 2019 served as the prediction *** important parameters were selected and verified in this model and the deviation was displayed by the root mean square error and the mean absolute *** As the first application using a STGCN for disease forecasting,we succeeded in accurately predicting the incidence of HFMD over a 12-week period at the prefecture level,especially for cities of significant *** This model provides a novel approach for infectious disease prediction and may help health administrative departments implement effective control measures up to 3 months in advance,which may significantly reduce the morbidity associated with HFMD in the future.

关键词： HFMD Early warning model STGCN Disease prediction

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