Machine Learning and Information Processing : Proceedings of ICMLIP 2020
Intro -- Preface -- Contents -- About the Editors -- Conference Committee -- Chief Patrons -- Patron -- Program Committee -- General Chair -- General Co-chair -- Technical Program Committee Chair -- Special Session Chairs -- Organizing Chairs -- Organizing Committee -- Finance Chair -- Technical Program Committee -- Smart Queue Shopping Using RFID System -- 1 Introduction -- 2 Literature Review -- 3 Methodology/Experimental -- 3.1 Components -- 3.2 Algorithm -- 3.3 Protocol -- 4 Results and Discussion -- 4.1 Bill Display Procedure -- 4.2 Inventory Product Entry to the Database -- 5 Limitations -- 6 Conclusion -- References -- Prediction and Classification of Biased and Fake News Using NLP and Machine Learning Models -- 1 Introduction -- 2 Literature Survey -- 3 Dataset Description -- 4 Proposed Model -- 4.1 Detection of Bias in a News Article -- 4.2 Classification of Fake News Articles -- 5 Model Details -- 5.1 Confusion Matrix -- 5.2 Naïve Bayes for Fake News Classification -- 5.3 Passive-Aggressive Classifier for Fake News -- 6 Experimentation -- 7 Conclusion -- References -- Smart Leaf Disease Detection Using Image Processing -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Methodology -- 2.3 Drone -- 2.4 Image Preprocessing -- 2.5 Classification -- 3 Model of Internal Working -- 4 Results -- 5 Related Work -- References -- Unsupervised Image Generation and Manipulation Using Deep Convolutional Adversarial Networks -- 1 Introduction -- 1.1 Literature Survey -- 1.2 Problem Statement and Applicability -- 2 Approach and Methodology -- 2.1 Proposed Model Based on DCGAN -- 3 Experiments -- 3.1 Datasets and Evaluation Measurements -- 4 DCGAN Model -- 5 Experimental Results -- 5.1 Super Resolution -- 5.2 Denoising -- 5.3 Deconvolution -- 6 Conclusion -- References..
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E-Book |
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Erscheinungsjahr: |
2021 ©2021 |
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Erschienen: |
Singapore: Springer Singapore Pte. Limited ; 2021 ©2021 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
Swain, Debabala [VerfasserIn] |
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Links: |
ebookcentral.proquest.com [lizenzpflichtig] |
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ISBN: |
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Anmerkungen: |
Description based on publisher supplied metadata and other sources |
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Umfang: |
1 online resource (592 pages) |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
180810787X |
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500 | |a Description based on publisher supplied metadata and other sources | ||
520 | |a Intro -- Preface -- Contents -- About the Editors -- Conference Committee -- Chief Patrons -- Patron -- Program Committee -- General Chair -- General Co-chair -- Technical Program Committee Chair -- Special Session Chairs -- Organizing Chairs -- Organizing Committee -- Finance Chair -- Technical Program Committee -- Smart Queue Shopping Using RFID System -- 1 Introduction -- 2 Literature Review -- 3 Methodology/Experimental -- 3.1 Components -- 3.2 Algorithm -- 3.3 Protocol -- 4 Results and Discussion -- 4.1 Bill Display Procedure -- 4.2 Inventory Product Entry to the Database -- 5 Limitations -- 6 Conclusion -- References -- Prediction and Classification of Biased and Fake News Using NLP and Machine Learning Models -- 1 Introduction -- 2 Literature Survey -- 3 Dataset Description -- 4 Proposed Model -- 4.1 Detection of Bias in a News Article -- 4.2 Classification of Fake News Articles -- 5 Model Details -- 5.1 Confusion Matrix -- 5.2 Naïve Bayes for Fake News Classification -- 5.3 Passive-Aggressive Classifier for Fake News -- 6 Experimentation -- 7 Conclusion -- References -- Smart Leaf Disease Detection Using Image Processing -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Methodology -- 2.3 Drone -- 2.4 Image Preprocessing -- 2.5 Classification -- 3 Model of Internal Working -- 4 Results -- 5 Related Work -- References -- Unsupervised Image Generation and Manipulation Using Deep Convolutional Adversarial Networks -- 1 Introduction -- 1.1 Literature Survey -- 1.2 Problem Statement and Applicability -- 2 Approach and Methodology -- 2.1 Proposed Model Based on DCGAN -- 3 Experiments -- 3.1 Datasets and Evaluation Measurements -- 4 DCGAN Model -- 5 Experimental Results -- 5.1 Super Resolution -- 5.2 Denoising -- 5.3 Deconvolution -- 6 Conclusion -- References. | ||
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