| Description |
1 online resource |
| Series |
Lecture notes in networks and systems ; volume 494 |
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Lecture notes in networks and systems ; v. 494.
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| Contents |
Intro -- Conference Organization Commitees -- Preface -- Contents -- Editors and Contributors -- A Framework for Early Recognition of Alzheimer's Using Machine Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Model Diagram -- 3.2 CatBoost Classifier -- 3.3 Model Evaluation -- 4 Environmental Setup -- 5 Results and Discussion -- 5.1 Accuracy -- 5.2 Precision -- 5.3 Recall -- 5.4 F1-Score -- 6 Conclusion and Future Direction -- References -- On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms -- 1 Introduction -- 2 Related Study -- 3 Facial Detection and Recognition Methods -- 3.1 Machine Learning Approach -- 3.2 Deep Learning Approach -- 4 Implementation -- 4.1 Face Detection: Haar Cascade Detection Algorithm -- 4.2 Face Recognition: Local Binary Pattern Histogram (LBPH) Algorithm -- 4.3 Detection and Recognition by GoogLeNet -- 5 Results and Discussion -- 5.1 Haar Cascade Face Detection (Machine Learning Approach) -- 5.2 LBPH Face Recognition in Real Time (Machine Learning Approach) -- 5.3 GoogLeNet Image-Based Analysis (Deep Learning Approach) -- 6 Conclusion -- References -- IPL Analysis and Match Prediction -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Processing the Datasets -- 3.2 Match Analysis -- 3.3 Visualization -- 3.4 Match Prediction -- 3.5 User Interface Creation -- 4 Results and Discussion -- 5 Conclusion -- References -- Application of ANN Combined with Machine Learning for Early Recognition of Parkinson's Disease -- 1 Introduction -- 2 Literature Work -- 3 Methodology -- 4 Experimental Setup -- 5 Performance Analysis and Experimentation Results -- 6 Conclusion and Future Work -- References -- People Count from Surveillance Video Using Convolution Neural Net -- 1 Introduction -- 2 Literature Review -- 3 Dataset |
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4 Proposed Methodology -- 5 Results -- 6 Conclusion -- References -- Detection of Pneumonia and COVID-19 from Chest X-Ray Images Using Neural Networks and Deep Learning -- 1 Introduction -- 2 Related Work -- 3 CNN Architectures -- 4 Proposed CNN Model -- 5 Experimentation and Results -- 5.1 Dataset -- 5.2 Experiment Setup -- 5.3 Results -- 5.4 Performance Evaluation -- 6 Conclusion -- References -- Plant Leaf Disease Detection and Classification Using Deep Learning Technique -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System Architecture -- 3.1 Image Acquisition -- 3.2 Image Preprocessing -- 3.3 Feature Extraction Using CNN -- 3.4 Detect and Classify Disease -- 4 Result and Analysis -- 5 Conclusion -- References -- Breast Mass Classification Using Convolutional Neural Network -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 About Dataset -- 3.2 Architecture of CNN -- 4 Results and Discussion -- 5 Conclusions -- References -- Deep Generative Models Under GAN: Variants, Applications, and Privacy Issues -- 1 Introduction -- 2 Generative Adversarial Networks (GANs) -- 2.1 GAN Architecture -- 2.2 Objective Function -- 3 Existing Models and Applications -- 3.1 GAN Models -- 3.2 Applications -- 4 GANs in Privacy -- 4.1 Privacy in Data -- 4.2 Privacy in Model -- 5 Future Works -- 6 Conclusion -- References -- Fusion-Based Celebrity Profiling Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Evaluation Measure -- 3.3 Stylistic Features -- 3.4 Word Embedding -- 3.5 Method -- 4 Results and Discussion -- 5 Conclusion -- References -- DeepLeaf: Analysis of Plant Leaves Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Feature Extraction -- 3.2 CNN and VGG16 -- 4 Results and Discussion -- 4.1 Comparative Analysis with Respect to Accuracy -- 5 Conclusion |
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Intuitionistic Fuzzy 9 Intersection Matrix for Obtaining the Relationship Between Indeterminate Objects -- 1 Introduction -- 2 Preliminary Concepts -- 2.1 Intuitionistic Fuzzy Set -- 2.2 Intuitionistic Fuzzy Topological Spaces -- 2.3 Related Studies -- 3 Intuitionistic Fuzzy 9 Intersection Matrix -- 4 Application of the Proposed Definitions -- 4.1 Importance of the Proposed Definition -- 4.2 Intuitionistic Fuzzy 9 Intersection Matrix -- 5 Conclusion and Future Work -- References -- A Hybrid Model of Latent Semantic Analysis with Graph-Based Text Summarization on Telugu Text -- 1 Introduction -- 2 Related Work -- 3 Latent Semantic Analysis -- 4 Text Rank Algorithm -- 5 Proposed Algorithm -- 6 Evaluation and Experimental Results -- 7 Conclusion -- References -- A Combined Approach of Steganography and Cryptography with Generative Adversarial Networks: Survey -- 1 Introduction -- 2 Background Works -- 3 Advanced Techniques -- 4 Fallouts and Discussion -- 5 Conclusion -- References -- Real-Time Accident Detection and Intimation System Using Deep Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 4 Results and Discussion -- 5 Conclusion -- References -- Design of Cu-Doped SnO2 Thick-Film Gas Sensor for Methanol Using ANN Technique -- 1 Introduction -- 2 Proposed Experiment -- 3 Result and Discussion -- 4 Conclusion -- References -- Detect Traffic Lane Image Using Geospatial LiDAR Data Point Clouds with Machine Learning Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Land-Usage/Land-Coverage Change Analysis -- 4 Interpretation Concept -- 5 Conclusion and Future Scope -- References -- Classification of High-Dimensionality Data Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Techniques -- 3.1 Naive Bayes Algorithm -- 3.2 Support Vector Machine (SVM) |
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3.3 K-Nearest Neighbor (KNN) Algorithm -- 3.4 Principal Component Analysis (PCA) -- 4 Proposed Model -- 5 Performance Evaluation Metrics -- 6 Result Analysis -- 7 Conclusion -- References -- To Detect Plant Disease Identification on Leaf Using Machine Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Dataset and Attributes -- 5 Application of the Outcomes -- 6 Result Analysis -- 7 Conclusion -- References -- Association and Correlation Analysis for Predicting the Anomaly in the Stock Market -- 1 Introduction -- 2 Related Work -- 3 Data Preparation -- 4 Methodology -- 4.1 Data Mining Association Rule -- 5 Results and Discussion -- 6 Conclusion -- References -- Early Identification of Diabetic Retinopathy Using Deep Learning Techniques -- 1 Introduction -- 1.1 Types of Diabetic Retinopathy -- 2 Literature Review -- 3 Methodology -- 4 Experimentation Setup -- 5 Dataset -- 6 Image Processing -- 6.1 Input Fundus Images -- 6.2 Gray Fundus Images -- 6.3 Gaussian Blur -- 7 Convolution Neural Network Models -- 7.1 Training Using ResNet50 and VGG16 -- 8 Result -- 8.1 Result of ResNet50 -- 8.2 Result of VGG16 -- 8.3 Comparison of Results -- 9 Conclusion -- 10 Future Work -- 11 Competing Interest -- References -- Performance Evaluation of MLP and CNN Models for Flood Prediction -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Mlp -- 3.2 CNN -- 3.3 Evaluating Constraint -- 4 Results and Discussions -- 5 Conclusion -- References -- Bidirectional LSTM-Based Sentiment Analysis of Context-Sensitive Lexicon for Imbalanced Text -- 1 Introduction -- 2 Related Work -- 2.1 Classification of Sentiments -- 2.2 Techniques of Supervised Learning -- 2.3 Techniques with No Supervision -- 2.4 Techniques for Semi-Supervised Learning -- 2.5 Ensemble Techniques -- 3 Proposed Methodology -- 3.1 Bidirectional Long Short-Term Memory (BLSTM) |
| Summary |
This book presents a collection of high-quality, peer-reviewed research papers from the 7th International Conference on Information System Design and Intelligent Applications (India 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25 to 26, 2022. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing |
| Notes |
Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed November 2, 2022) |
| Subject |
Artificial intelligence -- Computer programs -- Congresses
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Data mining -- Congresses
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Computer science -- Congresses
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Information technology -- Congresses
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Artificial intelligence -- Computer programs
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Computer science
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Data mining
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Information technology
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Bhateja, Vikrant, editor.
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Sunitha, K. V. N. editor
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Chen, Yen-Wei, editor.
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Zhang, Yu-Dong, editor.
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| ISBN |
9789811948633 |
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9811948631 |
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