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检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

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Face alignment by coarse-to-fine deep convolution network on mobile device

Face alignment by coarse-to-fine deep convolution network on...

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international conference on Application of intelligent Systems in Multi-modal Information analytics, MMIA 2020

作者： Liu, Huaping Shanghai Institute of Advanced Communication and Data Science Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai200444 China

ISBN: (纸本)9783030515553

Face alignment is a crucial prerequisite for many face analysis applications. Hence, the algorithm with high speed, high precision and small model becomes very important for applications on mobile devices. Addressing this issue, we propose a new lightweight face alignment method which could run fast on mobile devices by coarse-to-fine deep convolution network. Simultaneously, for video-based face alignment, we proposed a simple but effective tracking method by using LK optical flow to ensure the accuracy and stability of facial landmark in video. © Springer Nature Switzerland AG 2021.

关键词： Convolution

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IEEE/WIC/ACM international Joint conference on Web Intelligence and intelligent Agent Technology (WI-IAT)

作者： Singh, Sehaj P. Leung, Carson K. Hamilton, Joshua D. Univ Manitoba Dept Comp Sci Winnipeg MB Canada

ISBN: (纸本)9781665419246

With advancements in modern technology in the current era, very large volumes of big data have been generated and collected in numerous real-life applications. These have formed a connected world comprising webs of agents, data, people, things and trust. Some of these webs have also emerged in health and smart living. As valuable information and knowledge is embedded in these rich sets of webs, web intelligence is in demand. In this paper, we focus a data science task of web content mining. In particular, we conduct big web data analytics to cluster similar-sounding names based on their phonemes. Our phonetic based clustering groups similar-sounding names together, which helps users deal with name disambiguation problems by identifying web records on the same person but with multiple similar-sounding names.

关键词： web intelligence web of data data science data analytics data mining web mining web content mining name disambiguation phonetic words clustering graph theory linear algebra

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Analysis of rural tourism based on c4.5

Analysis of rural tourism based on c4.5

引用

international conference on Application of intelligent Systems in Multi-modal Information analytics, MMIA 2020

作者： Na, Meng Yan, Li Weifang Engineering Vocational College QingzhouShandong China

ISBN: (纸本)9783030515553

Based on Sina Weibo, combined with computer technology information retrieval and mining methods, by extracting, processing, and analyzing Weibo data from 2014 rural farming related rural Weibo in Jiangsu Province, the analysis results were displayed visually, and the spatial and temporal distribution of rural farming rural tourism was studied. Analyze the vocabulary of medium and high frequency on Weibo, study the hot issues of rural tourism in rural villages, so as to understand the needs of rural tourism market, and provide information and decision-making on the development planning and market development of rural tourism products. stand by. © Springer Nature Switzerland AG 2021.

关键词： Big data

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intelligent Industrial Monitoring Environment for IoT Application Using LoRa-Based Wireless Sensors 5th

Intelligent Industrial Monitoring Environment for IoT Applic...

引用

5th international conference on smart computing and Informatics, SCI 2021

作者： Arvind, Sudha Arvind, S. Nalla, Nitya CMR Technical Campus Telangana Hyderabad India Hyderabad Institute of Technology and Management Telangana Hyderabad India

ISBN: (纸本)9789811697043

India has been experiencing many gas tragedies since ages one of the biggest is Bhopal gas tragedy, on the night of December 2–3, 1984, and recent incident that took place in Vishakapatnam referred as Vizag gas leak at LG polymers chemical plant on May 7, 2020. Many incidents of these type took so many lives so far even industries has been developed and updated so far but due to minor negligence in some aspects leads to great disasters. This paper proposes surrounding monitoring system of industries that has a number of nodes for monitoring parameters such as Co level, poisonous gas, temperature, and humidity. A node is generally designed for data acquisition, and another node is designed for data collecting for further analysis. We can create any number of data acquisition nodes with a single-collecting node to connect all these it is made easy with Wi-Fi-based IoT as existing but the disadvantage is that Wi-Fi modem needs to connect wider network, so with proper working of the whole system is dependent on availability of this network. Here in this, we eliminate this problem by introducing a LoRa which means long range. Using LoRa, we can make our own interconnected IoT applications. Even though many techniques are existing to transfer information from widely distributed sensors that makes up the internet of things (IoT), generally these accounts with higher cost that do not apt for real-life applications. Among many emerging technologies present these days for providing long-range communication for IoT sensors, LoRa has been one among them. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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Modernity of Ancient Literature Based on Big data 2nd

Modernity of Ancient Literature Based on Big Data

引用

2nd Big data analytics for Cyber-Physical System in smart City, BDCPS 2020

作者： Zhai, Luchen International Media Literature Tangxin Wealth Investment Management Co. Ltd. CangzhouHebei China

ISBN: (纸本)9789813345737

Now, data is in an explosive increase in the "big data (BD) era". Information technology has greatly promoted the research of ancient literature, mainly in the technology of data collection and data retrieval. Based on big data, this paper uses data mining technology to study the modernity of ancient literature. This paper uses data mining technology to study the modernity of ancient literature through the establishment of mathematical analysis models of ancient literature and the Cholsky decomposition method. This paper conducts data mining on large-scale ancient literary works to find out the potentially valuable information hidden in the literature. Through the analysis of 6359 documents, this paper uses data mining technology to find 659 useful information from 6359 documents. Through experimental research, it is found that BD technology has certain advantages in the study of the modernity of ancient literature, which will promote the common development of ancient literature and modern literature. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： data mining

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A Deep learning Technique for smart Gender Classification System

A Deep learning Technique for Smart Gender Classification Sy...

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Vijaya Krishna Sonthi Rishi Sikka Anusha R P. Bala Shanmuga Devi Sachin K Kamble Bhasker Pant Department Of Computer Science and Engineering KoneruLakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India Department Of Electronics Sanskriti University Mathura Uttar Pradesh India English A. P. C. Mahalaxmi College for Women Thoothukudi India Design Terna Engineering College Navi Mumbai CSE Graphic Era Deemed To Be University Dehradun Uttarakhand India

The examination of the possibility of employing deep learning techniques for transportation planning and modelling is the basis of this essay. The writers look at the transportation issues that have developed for urbanized populations. intelligent transportation systems will become increasingly crucial to satisfy people’s transportation demands as the urban population grows. Automated data gathering devices demand the usage of analytics tools in order to give insights for actual decision-making and policy planning. This research has two objectives. This research begins with a review of academic literature on gender and age identification using Convolutional Neural Network-based approaches estimate, followed by a thorough examination of the present methodology. Then, using the classification techniques, we conduct a review of roughly 30 publications to draw valid conclusions and forecasts about how the various CNN approaches and transportation systems will develop in the *** to the existence of a complicated background, object occlusion, and varying lighting conditions, gender determination from facial photos is a difficult process. Face photos may be used for a variety of purposes, including tracking, identification, and expression analysis. Two deep learning-based approaches are examined in this research for facial image-based gender classification. Convolutional neural networks (CNN) and Alex Net are two examples of these techniques. The effectiveness of both models for identifying the male and female classes from face photos was tested through experiments. Results indicate that both approaches were successful in classifying people by gender. Additionally, a comparison between these two models and a few of the common techniques for gender categorization was done.

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Digital Service Evaluation System Based on Enterprise Operation Management Mode

Digital Service Evaluation System Based on Enterprise Operat...

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international conference on Application of intelligent Systems in Multi-modal Information analytics, MMIA 2020

作者： He, Chaohu Qi, Xiong An, Li School of Economics and Management Yunnan Technology and Business University KunmingYunnan China

ISBN: (纸本)9783030514303

Traditional enterprise service evaluation is a complete and logical system, and the feedback on enterprise service evaluation is not deep enough, so it has a very adverse impact on enterprise operation management and enterprise development. The purpose of this paper is to establish a digital service evaluation system which is beneficial to the development of enterprises on the basis of enterprise operation and management mode and combined with digital background. This paper firstly gives an overview of enterprise operation management and digital service evaluation, and determines the main index system of digital service evaluation system by means of data fusion algorithm. On this basis, the construction of digital service evaluation system is realized, and the reliability of the system is tested. The experimental results of this paper show that the establishment of digital service evaluation system based on enterprise operation management mode is beneficial to the further development of enterprises, and the operation of the system is completely reliable. © 2021, Springer Nature Switzerland AG.

关键词： data fusion

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Comparative Analysis of Prevalent Disease by Preprocessing Techniques Using Big data and Machine Learning: An Extensive Review 1

引用

international conference on Machine Intelligence and Soft computing, ICMISC 2020

作者： Vamsi, Bandi Doppala, Bhanu Prakash Thirupathi Rao, N. Bhattacharyya, Debnath Department of Computer Science and Engineering Vignan’s Institute of Information Technology Visakhapatnam530049 India Department of Computer Science and Engineering K L Deemed to be University KLEF Guntur522502 India

ISBN: (数字)9789811595165

ISBN: (纸本)9789811595158

Nowadays, in communities like healthcare and biomedical data, there has been a tremendous growth. The healthcare industry maintains a vast quantity of treatments that should be given to patients by analyzing the diseases that once has already occurred among patients, for further references and methodologies in curing the diseases by maintaining this vast track of history that has already been saved in the healthcare industry. In view of big data progress in biomedical data and healthcare communities, veracious study and predictive analysis of this methodologies related to medical data account to early disease recognition, patient care, and community services. When the trait of these methodologies is incomplete, the promptitude of study becomes economized. Furthermore, at particular regions, they show an uncommon trait of these certain differential regional diseases, which may cause the outcomes in diminishing the prediction of disease outbreaks. A prior task is that how the data can be accessed and how the information could be available for particular disease from these vast data saving machines. On the other hand, some machines develop techniques that are applied by providing realistic time sequence data, statistical analysis, and innovative data analytics in terms of patient’s family history, laboratory reports, impact of disease, and blood pressure. The proposed work is to identify the problem in patient earlier by producing the exact treatment in advance before the disease attacks the patient completely, which may save the patients’ life in reducing the complexities. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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Development and Innovation of Education Management Information in College with Big data

Development and Innovation of Education Management Informati...

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international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Zhao, Jie Jinjiang College Sichuan University MeishanSichuan China

ISBN: (纸本)9783030627423

Mining of relevant content or systems is not enough, and they have not been able to properly integrate and manage them, making relevant colleges cannot better use data information content. Therefore, this article first discusses the current information development with big data. Problems of low standardization of teaching and scientific research management, poor application technology awareness, and independent management data of various departments exist. Secondly, in response to related issues, college education has proposed innovative application approaches to information management, such as building the standardized network information platform, correctly applying big data technical teams to get high teaching quality in colleges. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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Designing Software Instruments for Analysis and Visualization of data Relevant to Playing Educational Video Games 4th

Designing Software Instruments for Analysis and Visualizatio...

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4th international conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2021

作者： Dankov, Yavor Bontchev, Boyan Faculty of Mathematics and Informatics Sofia University "St Kl. Ohridski" Sofia Bulgaria

ISBN: (纸本)9783030732707

Technology-enhanced learning applies more and more educational video games for increasing students’ motivation and engagement, for achieving better learning outcomes. This paper presents the designed functionalities of several software instruments created as analytics and visualization tools for analysing and evaluating both learning and playing outcomes of the player with different knowledge, learning goals, preferences, and learning style. This paper is based on previous publications of the authors and we step on the taxonomy of instruments for facilitated design and evaluation of video games for education (TIMED-VGE) to develop the design of the core functionalities of the software instruments for analysis and visualization of data about playing educational video games. The tools are under development within the APOGEE (smart adaPtive videO GamEs for Education) educational game platform and will enrich its core functionalities and overall user experience by providing users with a wide range of analytics and data visualization capabilities. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Visualization

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