Intelligent data engineering and analytics : Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020).: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020). Volume 2 (2020)

• Record Type: Book
• Other Titles: FICTA 2020
• Further Information: Note: Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi, editors.
• Other Names: Satapathy, Suresh Chandra, 1964-; Zhang, Yu-Dong; Bhateja, Vikrant; Majhi, Ritanjali; International Conference on Frontiers in Intelligent Computing, 8th
• Contents: Intro -- Organization -- Chief Patrons -- Patrons -- Organizing Chairs -- Publicity Chairs -- Advisory Committee -- Technical Program Committee -- Preface -- About This Book -- Contents -- About the Editors -- Classification of Dry/Wet Snow Using Sentinel-2 High Spatial Resolution Optical Data -- 1 Introduction -- 2 Data Used and Study Area -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Potential of Robust Face Recognition from Real-Time CCTV Video Stream for Biometric Attendance Using Convolutional Neural Network -- 1 Introduction -- 2 Literature Survey -- 3 Contributions 4 Proposed System -- 5 Algorithm -- 6 Results -- 7 Conclusion -- References -- ATM Theft Investigation Using Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Data Processing and Data Set -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Classification and Prediction of Rice Crop Diseases Using CNN and PNN -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Algorithms -- 5 Result and Discussion -- 6 Conclusion -- References -- SAGRU: A Stacked Autoencoder-Based Gated Recurrent Unit Approach to Intrusion Detection 1 Introduction -- 2 Related Works -- 3 Proposed SAGRU Approach -- 3.1 Stacked Autoencoder Feature Extraction (SAFE) -- 3.2 Gated Recurrent Unit Learning (GRUL) -- 3.3 SAGRU-Based Intrusion Detection -- 4 Performance Analysis -- 5 Conclusion -- References -- Comparison of KNN and SVM Algorithms to Detect Clinical Mastitis in Cows Using Internet of Animal Health Things -- 1 Introduction -- 2 Literature Study -- 3 Methodology -- 4 A Sack for Data Acquisition and Testing -- 5 Result -- 6 Conclusion -- References Two-Way Face Scrutinizing System for Elimination of Proxy Attendances Using Deep Learning -- 1 Introduction -- 1.1 Comparison with Previous Works -- 2 Methodology -- 2.1 Encoding Faces Present in an Image -- 2.2 Face Recognition -- 3 Algorithm for Eliminating Proxies -- 4 Blynk -- 5 Validation -- 6 Conclusion -- References -- Ontology-Driven Sentiment Analysis in Indian Healthcare Sector -- 1 Introduction -- 2 Literature Overview -- 3 Ayushman Bharat Yojana (PM Jan Arogya Yojana) -- 3.1 Key Benefits of the Scheme -- 3.2 Beneficiaries of the Scheme -- 3.3 Impact of the Scheme on the Beneficiaries 4 An Overview of the Ontology -- 4.1 Tools and Resources Used -- 4.2 Ontology: An Overview -- 5 Proposed Work -- 5.1 Data Acquisition -- 5.2 Data Cleaning and Preprocessing -- 5.3 Extracting Features -- 5.4 Training the Model -- 6 Observations and Results -- 7 Conclusion -- 8 Future Work -- References -- Segmentation of Nuclei in Microscopy Images Across Varied Experimental Systems -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Dataset Used -- 3.2 Data Augmentation Used -- 3.3 Model Architecture -- 3.4 Loss Function Used -- 3.5 Evaluation Metric Used -- 4 Experiments and Results
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Copyright Date: 2021
• Extent: 1 online resource (758 pages)
• Subjects: 006.3; Computational intelligence -- Congresses; Artificial intelligence -- Congresses; Artificial intelligence; Computational intelligence; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9789811556791
• Related ISBNs: 9789811556784
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.