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|a com.springer.onix.9783030366742
|b Springer Nature
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|a Q334
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|a HCDD
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| 111 |
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|a AI2SD (Conference)
|n (2nd :
|d 2019 :
|c Marrakech, Morocco)
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| 245 |
1 |
0 |
|a Advanced Intelligent Systems for Sustainable Development (AI2SD'2019).
|n Volume 4,
|p Advanced intelligent systems for applied computing sciences /
|c Mostafa Ezziyyani, editor.
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| 246 |
3 |
0 |
|a Advanced intelligent systems for applied computing sciences
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| 246 |
3 |
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|a AI2SD 2019
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| 260 |
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|a Cham :
|b Springer,
|c 2020.
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| 300 |
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|a 1 online resource (539 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Advances in Intelligent Systems and Computing ;
|v v. 1105
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| 588 |
0 |
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|a Print version record.
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|a Intro -- Preface -- Overview About AI2SD Editions -- Foreword -- Acknowledgements to AI2SD'2019 Participants -- Organization -- General Chair -- Co-chairs -- Keynotes Speakers -- TPC Chairs -- Ph. D. Organizing Committee -- Local Organizing Committee -- Scientific Committee -- Contents -- About the Editor -- A Comparative Evaluation of Classification Algorithms for Sentiment Analysis Using Word Embeddings -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Machine Learning Based Approach -- 2.2 Lexicon-Based Approach -- 2.3 Hybrid Based Approach -- 3 Architecture
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|a 3.1 Data Preprocessing and Cleaning -- 3.2 Word Embedding Using Word2Vec Model -- 3.3 Machine Learning Classification -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Performance Measure -- 4.3 Results and Discussion -- 5 Conclusion and Future Work -- References -- A Deep Neural Network Classification Approach for Alzheimer's Disease Diagnosis -- 1 Introduction -- 2 State of the Art -- 3 Methodology -- 3.1 Data Subjects -- 3.2 Data Preparation -- 3.3 Dimensionality Reduction -- 3.4 Deep Neural Network -- 4 Results and Discussion -- 5 Conclusion -- References
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| 505 |
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|a A Lightweight Cellular Automata-Based Cryptosystem Evaluated with NIST Statistical Tests -- Abstract -- 1 Introduction -- 2 Cellular Automata -- 3 Related Works -- 4 Proposed Algorithm -- 5 NIST Statistical Randomness Tests -- 5.1 Plaintext/Cipher-Text Correlation -- 5.2 Low Density Key/Plaintext -- 5.3 High Density Key/Plaintext -- 5.4 Numerical Results -- 6 Conclusion and Perspectives -- References -- A Literature Review of Steering Angle Prediction Algorithms for Self-driving Cars -- Abstract -- 1 Introduction -- 2 Literature Survey -- 2.1 Computer Vision Based Approach
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| 505 |
8 |
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|a 2.2 Neural Network Based Approach -- 3 Discussion -- 4 Conclusion and Future Work -- References -- A Multi-criteria Analysis and Advanced Comparative Study Between IT Governance References -- Abstract -- 1 Introduction -- 2 Standards vs Best Practices -- 2.1 Standards -- 2.2 Best Practices -- 3 IT Governance -- 4 Comparative Study of IT Governance References -- 4.1 SWOT Analysis -- 4.2 Multi-criteria Comparative Study -- 5 Case Study -- 6 Conclusion -- References -- A New Approach of a List of Items for Search Retrieval Systems -- Abstract -- 1 Introduction -- 2 Preliminaries: Related Work
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| 505 |
8 |
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|a 3 Proposed Work -- 4 Our Proposition -- 4.1 The Recommendation of a List of Relevant Result for Keyword -- 4.2 Keyword Tree -- 4.3 Item Tree -- 4.4 Result of Recommendation -- 5 Precision and Recall -- 6 Experimentation -- 6.1 The Results of the Recommendation of a List of Items for a Keyword -- 7 Conclusion -- References -- A Rigid Visual Servoing Approach for Elastic Objects Using Weighted Primitives -- 1 Introduction -- 2 Related Work -- 3 Interaction Matrix: Image to Camera Jacobian -- 4 Visual Servoing Loop for Elastic Deformation -- 4.1 Visual Servoing Loop for One Triangle
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| 500 |
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|a 5 Visual Servoing Loop for Multiple Triangle
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|a Includes author index.
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| 520 |
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|a This book gathers papers presented at the second installment of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), which was held on July 08-11, 2019 in Marrakech, Morocco. It offers comprehensive coverage of recent advances in big data, data analytics and related paradigms. The book consists of fifty-two chapters, each of which shares the latest research in the fields of big data and data science, and describes use cases and applications of big data technologies in various domains, such as social networks and health care. All parts of the book discuss open research problems and potential opportunities that have arisen from the rapid advances in big data technologies. In addition, the book surveys the state of the art in data science, and provides practical guidance on big data analytics and data science. Expert perspectives are provided by authoritative researchers and practitioners from around the world, who discuss research developments and emerging trends, present case studies on helpful frameworks and innovative methodologies, and suggest best practices for efficient and effective data analytics. Chiefly intended for researchers, IT professionals and graduate students, the book represents a timely contribution to the growing field of big data, which has been recognized as one of the leading emerging technologies that will have a major impact on various fields of science and various aspects of human society over the next several decades. Therefore, the content in this book is an essential tool to help readers understand current developments, and provides them with an extensive overview of the field of big data analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use big data, such as management and finance, medicine and health care, networks, the Internet of Things, big data standards, benchmarking of systems, and others. In addition to a diverse range of app lications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modeling of high-dimensional data are also covered. The varied collection of topics addressed introduces readers to the richness of the emerging field of big data analytics.
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| 650 |
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|a Artificial intelligence
|v Congresses.
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| 650 |
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|a Sustainable development
|v Congresses.
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| 650 |
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|a Artificial intelligence
|2 fast
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|a Sustainable development
|2 fast
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| 655 |
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|a proceedings (reports)
|2 aat
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|a Conference papers and proceedings
|2 fast
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| 655 |
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|a Conference papers and proceedings.
|2 lcgft
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| 655 |
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|a Actes de congrès.
|2 rvmgf
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| 700 |
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|a Ezziyyani, Mostafa.
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| 758 |
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|i has work:
|a Advanced Intelligent Systems for Sustainable Development (AI2SD'2019) (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCXBV7BXVYPj9FVd8GrhcxC
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Ezziyyani, Mostafa.
|t Advanced Intelligent Systems for Sustainable Development (AI2SD'2019) : Volume 4 - Advanced Intelligent Systems for Applied Computing Sciences.
|d Cham : Springer, ©2020
|z 9783030366735
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| 830 |
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|a Advances in intelligent systems and computing ;
|v 1105.
|
| 856 |
4 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-36674-2
|y Click for online access
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|a SPRING-ROBOTICS2020
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