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Record Nr. |
UNINA9910580161903321 |
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Titolo |
Congress on Intelligent Systems . Volume 1 : proceedings of CIS 2021 / / Mukesh Saraswat [and four others], editors |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , [2022] |
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©2022 |
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ISBN |
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Descrizione fisica |
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1 online resource (933 pages) |
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Collana |
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Lecture notes on data engineering and communications technologies ; ; Volume 114 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Internet of things |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Intro -- Preface -- Contents -- About the Editors -- The Extraction of Automated Vehicles Traffic Accident Factors and Scenarios Using Real-World Data -- 1 Introduction -- 2 Data Collecting and Preprocessing -- 2.1 Collecting AVs Accident Data -- 2.2 Preprocessing AVs Accident Data -- 3 Learning Method and Result -- 3.1 Random Forest -- 3.2 Extraction of AVs Collision Factor Importance -- 4 AVs Traffic Accident Scenarios -- 4.1 Scenario Combinations Based on Collision Situations -- 4.2 AVs Ahead Situation -- 4.3 AVs Rear Situation -- 4.4 Comparison with HVs Traffic Accidents -- 4.5 Summary -- 5 Conclusion and Future Research -- References -- Leaf Disease Identification in Rice Plants Using CNN Model -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Dataset -- 3.2 Pre-processing -- 3.3 Data Normalization -- 3.4 Create a Model -- 3.5 Training and Validation -- 3.6 Test the Model -- 3.7 Convert the Model to .tflite Format -- 3.8 Develop and Deploy Using Mobile App -- 3.9 Test the Mobile App -- 4 Experimental Results -- 5 Experimental Set-Up -- 6 Discussion -- 7 Conclusions -- References -- Twitter Sentiment Analysis Based on Neural Network Techniques -- 1 Introduction -- 2 Literature Survey -- 2.1 Related Work -- 2.2 Opinion Mining -- 2.3 Twitter -- 2.4 Twitter Sentiment Analysis -- 3 Data Description -- 4 Proposed Methodology -- 4.1 Pre-processing -- 4.2 |
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