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检索条件"任意字段=2020 International Conference on Computer Information and Big Data Applications, CIBDA 2020"

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Proceedings - 2020 international conference on computer information and big data applications, cibda 2020

Proceedings - 2020 International Conference on Computer Info...

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2020 international conference on computer information and big data applications, cibda 2020

ISBN: (纸本)9781728198378

The proceedings contain 115 papers. The topics discussed include: face recognition system based on CNN;research on the mapping mathematical model of points in polygon region and rectangle region;whole process tracing model of pigeon quality in block chain environment;tongue identification for small samples based on meta learning;research on design of intelligent commercial super system based on Internet of things;memory-augmented dialogue state tracker in task-oriented dialogue system;quality management of crowd sensing data based on machine learning;study on seepage model of the dual-permeability quadruple-media homogeneous reservoirs;fundus retinal blood vessel segmentation based on active learning;the research on transformer fault early warning model based on Internet of things;and a hybrid feature extraction network for intrusion detection based on global attention mechanism.

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cibda 2022 - 3rd international conference on computer information and big data applications

CIBDA 2022 - 3rd International Conference on Computer Inform...

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2022 3rd international conference on computer information and big data applications, cibda 2022

ISBN: (纸本)9783800758760

The proceedings contain 244 papers. The topics discussed include: a proposed Siamese convolutional neural network for fingerprint recognition;research of early warning of corporate financial crisis based on machine learning neural network;corporate influence analysis by integrating social network models;research named entity recognition based on transfer learning;classification of complex network based on improved hierarchical model;handwritten character recognition based on convolution neural network models;back propagation neural network based stroke prediction;design of a network storage system based on peer-to-peer network with supernode;hybrid Weibo tags and topic mining for user similarity model;stability analysis of power grid based on generative adversarial network;convolutional neural network for English character recognition;build a precision marketing prediction model for intelligent recommendation technology;application of text mining technology in power data prediction;research on used car transaction price and transaction cycle based on model fusion;and underwater wireless sensor networks trustworthiness evaluation using Monte Carlo simulation.

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Proceedings of 5th international conference on computer information and big data applications, cibda 2024

Proceedings of 5th International Conference on Computer Info...

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5th international conference on computer information and big data applications, cibda 2024

ISBN: (纸本)9798400718106

The proceedings contain 221 papers. The topics discussed include: UGENet: learning discriminative embeddings for unconstrained gaze estimation network via self-attention mechanism in human-computer interaction;research progress of deep learning in the diagnosis of retinopathy of prematurity;design and realization of high-quality development path of intelligent manufacturing based on artificial fish school algorithm and computer simulation;design and computer simulation of original doll trend brand communication path based on artificial bee colony algorithm;an adaptive hybrid intelligence model based on improved sparrow search algorithm and back propagation neural network;progress of machine learning potentials for material atomic simulation;research and implementation of bidirectional code association pattern based on requirement driven;and an improved neural network approach to end-to-end video compression.

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Proceedings of the 14th IADIS international conference computer Graphics, Visualization, computer Vision and Image Processing 2020, CGVCVIP 2020 and Proceedings of the 5th IADIS international conference big data Analytics, data Mining and Computational Intelligence 2020, bigDaCI 2020 and Proceedings of the 9th IADIS international conference Theory and Practice in Modern Computing 2020, TPMC 2020 - Part of the 14th Multi conference on computer Science and information Systems, MCCSIS 2020

Proceedings of the 14th IADIS International Conference Compu...

引用

14th IADIS international conference computer Graphics, Visualization, computer Vision and Image Processing 2020, CGVCVIP 2020 and 5th IADIS international conference big data Analytics, data Mining and Computational Intelligence 2020, bigDaCI 2020 and 9th IADIS international conference Theory and Practice in Modern Computing 2020, TPMC 2020, Part of the 14th Multi conference on computer Science and information Systems, MCCSIS 2020

ISBN: (纸本)9789898704214

The proceedings contain 35 papers. The topics discussed include: data-driven approach for generating colormaps of scientific simulation data;a 3D-shockwave volume rendering algorithm based on feature boundary detection;using reorderable matrices to compare risk curves of representative models in oil reservoir development and management activities;laser spot detection and characteristic analysis in plasma interaction simulation;hybrid sort a pattern-focused matrix reordering approach based on classification;data interpolation based on contextual analysis for generating tomographic images in concrete specimen;graphical user interface personalization: user study of image frequency preferences;evaluation of color spaces for unsupervised and deep learning skin lesion segmentation;and repeated pattern extraction with knowledge-based attention and semantic embeddings.

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2021 2nd international conference on computer information and big data applications

2021 2nd International Conference on Computer Information an...

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2021 2nd international conference on computer information and big data applications, cibda 2021

The proceedings contain 178 papers. The topics discussed include: construction and application of machine learning model in network intrusion detection;design and implementation of personal medical assistant system based on edge computing;research on the application of computer technology in the field of art under big data;ballistic target signal separation based on differential evolution algorithm;research on machine learning algorithm based on contour matching modal matrix;identification of depression using support vector machine with different connectivity;scheduling optimization for batch processing machines using advanced genetic algorithm;facial expression recognition algorithm based on convolution neural network and multi-feature fusion;sequence labeling model based on hierarchical features and attention mechanism;a dynamic resource chain task unloading method based on improved greedy algorithm;evaluation method of pipe corrosion based on the natural frequency II: corrosion of internal surface of pipe;and research on NSGA-II flexible job shop scheduling based on variable length chromosomes.

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A Novel Pipeline for data Management and Analysis that Integrates data Lakehouse Architecture into the Aeronautics Industry 5th

A Novel Pipeline for Data Management and Analysis that Integ...

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5th international conference on Innovative Intelligent Industrial Production and Logistics

作者： Freitas, Nelson Vaqueira, Diogo Rocha, Andre Dionisio Barata, Jose Serrano, Fabio Silva, Luis Madeira, Manuel NOVA Univ Lisbon NOVA Sch Sci & Technol Ctr Technol & Syst UNINOVA CTS P-2829516 Lisbon Portugal NOVA Univ Lisbon NOVA Sch Sci & Technol Associated Lab Intelligent Syst LASI P-2829516 Lisbon Portugal Aernnova Aerosp Evora Parque Ind Aeronaut Evora Herdade Pinheiro E Casa Branca Lt AICM1094 P-7005797 Evora Portugal

ISBN: (纸本)9783031807596;9783031807602

Currently, the majority of processes or systems aim to benefit from the data produced by their own or other relevant systems, with the objective of increasing efficiency. This is especially true in the field of industrial systems, where a multitude of devices attempt to publish their metrics and data into the system, often resulting in characteristics that can be classified as big data. However, companies often struggle with the correct and useful utilization of this harvested data. Therefore, this paper focuses on a use case of a data pipeline system with a data lakehouse in an airplane parts factory. The developed architecture shows that with some adjustments to the classic data lakehouse architecture, it is possible to achieve higher parallelism in order to simultaneously store data in the data lake and data warehouse. Additionally, a visualization tool was developed to highlight how metric calculation and outlier detection can be automated or facilitated with the utilization of data, as opposed to manual labor.

关键词： big data data pipeline data lake data lakehouse data warehouse Industry Manufacturing

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Navigating Ethical and Cybersecurity Challenges in Healthcare information Systems: A brief Literature Review 16

Navigating Ethical and Cybersecurity Challenges in Healthcar...

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16th international conference on ENTERprise information Systems, CENTERIS 2024 - 12th international conference on Project MANagement, ProjMAN 2024 - 14th international conference on Health and Social Care information Systems and Technologies, HCist 2024

作者： Gouveia, António Jorge Teixeira, Beatriz Pinto, Gonçalo Figueiredo, Gustavo Simões, Beatriz UTAD Quinta de Prados Vila Real5000 Portugal C-MADE/UTAD Quinta de Prados Vila Real5000 Portugal

This study examines the ethical and cybersecurity challenges in health information systems, focusing on data privacy in mobile health applications for women. Issues like data collection, behavioral monitoring, and inadequate privacy measures underscore the need for better transparency in user consent and privacy policies. The sharing of genomic data also raises ethical concerns and technical controversies. The study aims to integrate ethical and cybersecurity considerations, advocating for a flexible framework that balances innovation, data utility, and ethical principles for safe system use. Using the PRISMA methodology, it reviews literature from 2020 to 2023, identifying key challenges such as data privacy, informed consent, and GDPR compliance. Despite efforts to address these concerns, significant challenges persist, necessitating robust frameworks and recommendations, especially during epidemics, to ensure patient data security and privacy. © 2025 The Author(s).

关键词： Cybersecurity

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Integration and Performance Evaluation of big data Real-Time Stream Processing Framework in Dynamic Tracking Analysis 4

Integration and Performance Evaluation of Big Data Real-Time...

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4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Yang, Xiao-Mei Zhang, Ju-Ling Wu, Lei College of Information Management Xinjiang University of Finance and Economics Urumqi830012 China The Communist Youth League Committee Xinjiang University of Finance and Economics Urumqi830012 China

ISBN: (纸本)9798331523923

Real-time data processing, especially in the field of public opinion analysis, is an important branch of computer aided stream data processing. Therefore, this study proposes a new big data real-time stream processing framework, and evaluates its performance from the application scenario level. Firstly, an integrated real-time data stream processing framework is designed. This stable device enables efficient data capture, stream reorganization, and data export at high network rates. By introducing a joint optimization algorithm, the framework optimizes the generalization ability of data cluster analysis at the bottom of the data, thus improving the overall reliability of the framework. Secondly, this study focuses on the online public opinion analysis scenario. The model constructs a dynamic public opinion tracking model based on information evolution. The model simulates the propagation process of public opinion information on the network, and uses incremental learning and deep learning algorithms to conduct comprehensive public opinion analysis and risk warning. Finally, through the experimental analysis of the public data of social platforms (such as Facebook, Weibo, Twitter), this paper verifies the application effect of the framework in real-time public opinion risk warning. By training the model to predict the emotional content, the experimental results show that the accuracy of the model is 0.95, the recall rate is 0.97, and the result is satisfactory. © 2025 IEEE.

关键词： data accuracy

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BP-LSTM-ATTENTION: A Regional Precipitation Multisource data Processing Fusion Model 24

BP-LSTM-ATTENTION: A Regional Precipitation Multisource Data...

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8th international conference on Electronic information Technology and computer Engineering, EITCE 2024

作者： Zhang, Xiaodan Wang, Hongyu You, Shaojie Zhao, Tong Li, Zi School of Computer Technology and Applications Qinghai University Qinghai Xining China Qinghai Provincial Laboratory for Intelligent Computing and Application Qinghai Xining China Qinghai Provincial Institute of Meteorological Sciences Qinghai Xining China

ISBN: (纸本)9798400710094

Qinghai Province shoulders the significant mission of maintaining ecological security, protecting the three-river source region, and safeguarding the ‘Chinese Water Tower’. To improve the accuracy of precipitation data is a great importance for studying regional ecological changes. The paper takes Qinghai Province as the research area and develops a multi-source precipitation data fusion model: BP-LSTM-ATTENTION, which is based on BP network, LSTM network and attention mechanism. The model uses satellite radar precipitation data and auxiliary data such as vegetation normalized difference index as feature data, and ground observation station data as label values, and through training and evaluation, improving the accuracy of data fusion. Then, a regional long-term and high spatial resolution precipitation fusion dataset with a spatial resolution of 1Km, a temporal resolution of 3 hours, and a time series from 2000 year to 2020 year, was generated by the data fusion model. Taking the fusion processing of precipitation data from 2016 to 2020 as an example, the fusion model successfully reduced the average RB of precipitation fusion data in the study area to 14.6%, the average RMSE to 0.1566, the average MAE to 43.706, and the average CC to 0.906. The experiment shows that the precipitation data fusion model studied in this paper has high data fusion processing accuracy and good precipitation data prediction performance. In terms of the model’s ability to capture precipitation events, the precipitation data fused by the model has an average POD of 0.818, an average FAR of 0.318, and an average MISS of 0.182 from 2016 to 2020, demonstrating its strong capability in monitoring precipitation events and good performance in reducing false alarms and missed reports. The BP-LSTM-ATTENTION model proposed in this study solves the problems of spatiotemporal correlation and time series in precipitation data of Qinghai Province, and has produced high-resolution, high spatiotemporal

关键词： Water towers

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Developing Geospatial Web applications Using Question Answering Engines, Knowledge Graphs and Linked data Tools

Developing Geospatial Web Applications Using Question Answer...

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PhD Symposium, Posters, Demos, and A Web for more inclusive, sustainable and prosperous societies, WEB-for-GOOD 2024 and 1st international Workshop on AI and Web data Analytics, AIWDA 2024 form the 25th international conference on Web information Systems Engineering, WISE 2024

作者： Kefalidis, Sergios-Anestis Plas, Konstantinos Stamoulis, George Punjani, Dharmen Maret, Pierre Koubarakis, Manolis National and Kapodistrian University of Athens Athens Greece Laboratory Hubert Curien Université Saint Monnet Saint Etienne France Archimedes/Athena RC Marousi Greece

ISBN: (纸本)9789819614820

We show how to develop geospatial web applications using the geospatial question answering engine GeoQA2, the geospatial knowledge graph YAGO2geo, the spatiotemporal RDF store Strabon and the Web-GIS tool Sextant. We demonstrate the combined functionality of these tools by developing PnyQA, a system for exploring data from the 2020 presidential election of the United States using natural language questions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Question answering

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