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检索条件"任意字段=Proceedings of the 2023 5th International Conference on Big Data Engineering and Technology"

共 11252 条记录，以下是31-40 订阅

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Practice and Research on Improving Urban Road Traffic Efficiency 24

Practice and Research on Improving Urban Road Traffic Effici...

引用

5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Hu, Yunning Artificial Intelligence College Tianjin University of Science and Technology Tianjin China

ISBN: (纸本)9798400709999

With the rapid development of urbanization, traffic congestion and road safety problems have become increasingly prominent. this paper proposes a solution based on improving the efficiency of urban road traffic, that is, through big data, cloud computing and Internet of things technology, to realize the intelligent control of traffic lights, effectively alleviate traffic congestion and improve the efficiency of urban road traffic. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Traffic congestion

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Analysis Research and analysis of neural network Internet economy under big data modeling-the Belt and Road Initiative as the background 24

Analysis Research and analysis of neural network Internet ec...

引用

5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Zhang, Yuan Sichuan College of Arts and Sciences Sichuan Dazhou China

ISBN: (纸本)9798400709999

Since the 18th National Congress of the Communist Party of China, the President of China has personally arranged the issues related to the Belt and Road Initiative, enhanced the ties between China and other countries, and further promoted the in-depth development of the community of shared future for *** Belt and Road is short for the Silk Road Economic Belt and the 21st Century Maritime Silk *** is an international cooperation platform that adheres to multilateralism and an open and inclusive economic cooperation initiative provided by China to the *** historical origin can be traced back to the ancient Silk *** this context, the economic and trade exchanges between China and countries along the Belt and Road are closer, further promoting the connection between China and countries in Africa, Oceania, Asia, North America, South America, Europe and other countries. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： big data

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Convergence of Blockchain and Iot 5th

Convergence of Blockchain and Iot

引用

5th international conference on data Science, Machine Learning and Applications

作者： Gopichand, G. Aleti, Rajashekar Tarini, Ranjana R. Tallam, Rahul Yenigandla, Venislaus Ashish Vellore Inst Technol Vellore Tamil Nadu India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

A network of commonplace physical things with electronic parts, such as sensors, processors, and wireless communication modules is referred to as the "Internet of things" (IoT). they can communicate with one another and various other systems and devices via these components and the internet. It's important to note that the IoT lacks internal security. No organization is in charge of handling the enormous amount of data created by IoT devices since distributed ledger technology, which is a component of blockchain, is decentralized. Decentralization improves privacy and security. By making it extremely difficult for unauthorized users to alter current data record. Blockchain technology is used to safely store IoT data. Secure machine-to-machine transactions are made possible by the IoT and blockchain, boosting security and transparency for all parties involved. IoT devices can interact with private blockchain networks to guarantee the accuracy of transaction records by utilizing the features such as immutability and data encryption. this paper examines the business strategy that can aid in preventing the manipulation of sensitive data.

关键词： IOT Blockchain Wallets data encryption Security Ledger Communication Integration of blockchain with IOT

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Utilizing big data Analytics for Social Media Insights 5

Utilizing Big Data Analytics for Social Media Insights

引用

5th international conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2024

作者： Vedhika Srinidhi, V.S. Sanjana, S. Rozario, Neo Joseph Dewan, Sia Gouthaman, P. School of Computing College of Engineering & Technology SRM Institute of Science and Technology Department of Networking and Communications Kattankulathur603203 India School of Computing Faculty of Engineering & Technology SRM Institute of Science and Technology Department of Networking and Communications Kattankulathur603203 India

ISBN: (纸本)9798331518097

big data analytics is a rapidly evolving field that offers profound insights into various sectors by enabling the analysis of massive and diverse datasets. this research paper focuses on the application of big data techniques to social media and airline networks, leveraging tools such as sentiment analysis, clustering, and data visualization to extract actionable information. the study analyses Twitter data to uncover public sentiment trends and classifies topics using advanced machine learning techniques. Furthermore, the research explores the use of clustering algorithms within the Hadoop ecosystem to process large-scale datasets efficiently. Insights from airline customer feedback and network planning data demonstrate how big data analytics can optimize operational efficiency and enhance customer satisfaction. Key findings include the identification of distinct sentiment patterns in social media data, the efficiency of novel clustering techniques in handling high-volume datasets, and the utility of advanced visualization methods to convey complex data. these results have significant implications for industries ranging from social media platforms to the airline sector, providing valuable tools for enhancing decision-making processes and improving user experiences across diverse domains. the study highlights the potential of big data analytics to drive innovation and operational excellence in dynamic environments. © 2024 IEEE.

关键词： Airline networks big data analytics Clustering algorithms data visualization Sentiment analysis Social media

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Battery-Free Wearable Electrochemical Sweat Sensors 5

Battery-Free Wearable Electrochemical Sweat Sensors

引用

5th IEEE international Flexible Electronics technology conference, IFETC 2023

作者： Min, Jihong Gao, Wei California Institute of Technology Division of Engineering and Applied Science Andrew and Peggy Cherng Department of Medical Engineering PasadenaCA91125 United States

ISBN: (纸本)9798350332094

Broad adoption of wearable sensor devices that continuously and unobtrusively monitor physiochemical biomarkers can enable personalized healthcare through big data and predictive algorithms. Wearable sweat sensing offers an attractive means of biochemical screening among large populations as sweat is rich in biomarkers. However, sustainable powering of wearable sweat sensor devices is a challenge as autonomous sweat extraction, multiplexed biomarker detection, data processing, and data communication consume significant energy and typically require bulky lithium batteries. Various energy harvesting modules such as triboelectric nanogenerators (TENGs), biofuel cells (BFCs), and solar cells (SCs) have been judiciously designed and integrated into wearable platforms for battery-free analysis of sweat biomarkers. © 2023 IEEE.

关键词： Biomarkers

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User Behavior Portrait of Express Delivery in China University Campus: with Internet big data 5

User Behavior Portrait of Express Delivery in China Universi...

引用

5th international conference on Computer engineering and Application (ICCEA)

作者： Wei, Xiaobin Chowdhury, Md Muhib Hossain Civil Aviat Univ China Sch Transportat Sci & Engn Tianjin Peoples R China

ISBN: (纸本)9798350386783;9798350386776

Due to the increasing of campus e-commerce customers, behavior portrait can help service suppliers grasp the market demand better and develop targeted service strategies. Based on the SERVQUAL model, an indicator system was established, and the K-Means algorithm was used for clustering. the survey was administered from March 23 to March 28, 2023, resulting in a total of 1099 responses. It is found that there are four types of campus express users. We can provide targeted services according to the type, such as for type-1 we should improve the storage function, and for type-4 we should provide professional express packaging protection, etc.

关键词： User Behavior Portrait Express Delivery s University Campus

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Application of data-driven feature extraction methods in biometrics 5

Application of data-driven feature extraction methods in bio...

引用

5th international conference on Computer Information Science and Artificial Intelligence, CISAI 2022

作者： Li, Huixing Xue, Yan Zeng, Xiancai Henan Key Laboratory of Industrial Microbial Resources and Fermentation Technology Nanyang Institute of Technology Henan Nanyang473004 China School of Biological and Chemical Engineering Nanyang Institute of Technology Henan Nanyang473004 China

ISBN: (纸本)9781510662520

With the continuous development of research in the field of machine learning, especially the progress in deep learning and the continuous improvement of arithmetic power such as image processors, the recognition technology using biometric big data has gained wide attention and has been well applied in many fields such as human-witness matching, intelligent monitoring and epidemic prevention and control. the development trend of big data biometric identification technology is analyzed, the types of biometric features and the development and application of big data-driven biometric identification technology are summarized, and the future development trend of big data biometric identification technology is discussed. © 2023 SPIE.

关键词： Image enhancement

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Optimized data Processing for Hard Drive Failure Prediction 5

Optimized Data Processing for Hard Drive Failure Prediction

引用

5th international conference on Emerging Systems and Intelligent Computing, ESIC 2025

作者： Sivakumar, M. Ragavendra, R. Satapathy, Sandeep Kumar Mishra, Shruti Mallick, Pradeep Kumar Vellore Institute of Technology School of Computer Science & Engineering Tamilnadu Chennai India Vellore Institute of Technology Centre for Advanced Data Science Tamil Nadu Chennai India Kiit University School of Computer Engineeing Odisha India

ISBN: (纸本)9798331522100

With the rise of big data, efficient data handling techniques have become increasingly crucial. Hard drive failure prediction is a critical domain where accurate and timely data handling is paramount. this research paper introduces a data analysis and pre-processing approach for hard drive failure prediction based on machine learning techniques. A large dataset encompassing hard drive operational data, metadata, and error rates was collected. Extensive pre-processing was performed, including data cleaning and transformation. Multiple Machine Learning algorithms, including random forests, were employed to train predictive models for hard drive failure. the results demonstrate the effectiveness of our approach in achieving high accuracy for hard drive failure prediction, highlighting the significance of our pre-processing methods. Additionally, this paper compares existing machine learning algorithms and explores the role of big data in enhancing hard drive failure prediction. the utilization of big data and advanced data handling techniques has led to improved accuracy and predictive capabilities, making it an indispensable factor in this field. © 2025 IEEE.

关键词： data curation

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Employment Guidance and Service for College Students Based on Python technology in big data Environment 5

Employment Guidance and Service for College Students Based o...

引用

5th international conference on Decision Science and Management, ICDSM 2023

作者： Bo, Xiao Juan, Hong Guangdong University of Science and Technology Dongguan China

ISBN: (纸本)9798350325010

With the rapid development of information technology and Internet technology, we have entered an era of big data, and now the employment pressure of college students is increasing, and more and more students are beginning to seek better employment guidance and services. this paper proposes a method of employment guidance and service for college students based on Python technology. First, a method for obtaining employment information based on Python technology is proposed. the second is to use python technology and multi-attribute decision-making theory to realize scientific and efficient decision-making guidance methods, aiming to help college students better prepare for job interviews and improve employment competitiveness through information technology. © 2023 IEEE.

关键词： Python

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5G Application for Methodologies for big data Application 5

5G Application for Methodologies for Big Data Application

引用

5th IEEE international conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Singh, Amanveer Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350383522

the advantages and benefits of big data and cellular networks are discussed in this essay. First, a summary of their interactions, together with big data-driven and big data-assisted communication networks, is given. the erstwhile caters for big data characteristics like number, pace, and variation by utilizing diverse means such as transmission, storage, and processing in cellular networks in order to accommodate big data apps and services. In order to gather wireless big data and gain detailed information about the networks and users for better network management and scheduling, the latter makes use of big data methods. Two examples that focus on channel data collection and big data-aided peripheral information storage are offered that will further highlight the reciprocal advantages. the discussion concludes with a few intriguing open study questions. © 2024 IEEE.

关键词： 5G Convergence big data Cellular Networks Cloud Computing data Analytics data Collection data Processing data Storage and data Security data Transmission Edge Computing Network Infrastructure Network Management Resource Allocation Wireless Communications

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