| Description |
1 online resource (521 p.) |
| Series |
Smart innovation, systems and technologies ; v. 351 |
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Smart innovation, systems, and technologies ; v. 351.
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| Contents |
Intro -- Preface -- Contents -- About the Editors -- 1 Equity Market Price Prediction Using Fuzzy-Genetic Machine Learning Algorithms -- 1.1 Introduction -- 1.2 History of Stock Trading BSE Sensex -- 1.3 Algo-trading -- 1.4 Literature Review -- 1.5 Research Methodology -- 1.6 Implementation -- 1.7 FDC Results -- 1.8 Comparative Analysis of FDC Data with Simple Moving Average Method -- 1.9 Challenges in the Implementation of the System -- 1.10 Conclusion -- References -- 2 A Convolution Neural Network Model to Classify Handwritten Digits from Skeletons -- 2.1 Introduction -- 2.2 Related Work |
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2.3 Methodology -- 2.4 Results and Discussion -- 2.5 Conclusion -- References -- 3 A Wavelet Thresholding-Based Approach for Denoising the Color Image Affected by Gaussian Noise -- 3.1 Introduction -- 3.2 Literature Survey -- 3.2.1 VisuShrink -- 3.2.2 SureShrink -- 3.2.3 BayesShrink -- 3.2.4 NeighShrink -- 3.3 Methodology -- 3.3.1 Proposed Method -- 3.4 Results and Discussion -- References -- 4 Detection and Classification of Diabetic Retinopathy Using Image Processing and Machine Learning Techniques -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Proposed Work with Implementation Details |
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4.3.1 Pre-processing -- 4.3.2 Feature Extraction -- 4.3.3 Detection -- 4.3.4 Classification -- 4.4 Experimental Setup and Performance Evaluation Parameters -- 4.4.1 Dataset -- 4.4.2 Parameters and Evaluation Metrics -- 4.5 Results and Discussion -- 4.6 Conclusion -- References -- 5 Analysis of EEG Signal of the Elderly for Hand Grip Muscle Activity -- 5.1 Introduction -- 5.2 Literature Survey -- 5.3 Methodology -- 5.3.1 Data Acquisition -- 5.3.2 Dataset Description -- 5.3.3 Feature Extraction -- 5.3.4 Age-Wise Classification of EEG Data of Young and Old Subjects -- 5.4 Result -- 5.5 Conclusion |
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7.1.4 Proposed Solution -- 7.1.5 Paper Structure -- 7.2 Methodology -- 7.2.1 Data Collection Technique Used and List of Steps -- 7.2.2 License Plate Detection and Recognition -- 7.3 Discussion -- 7.3.1 License Plate Detection and Recognition Model -- 7.3.2 How It Works -- 7.3.3 Model Evaluation -- 7.3.4 Integration -- 7.4 Conclusion -- References -- 8 Classification of Esophageal Cancer Using Ensembled CNN with Generalized Normal Distribution Optimization Model and Support Vector Machine Classifier -- 8.1 Introduction -- 8.1.1 Related Works -- 8.1.2 Contribution of the Proposed Work |
| Summary |
This book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2022) organized by SAU Center for Research and Innovative Learning (SCRIL), South Asian University, India, from 34 December 2022. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and humancomputer interaction |
| Bibliography |
References -- 6 A Systematic Review of Image Fusion Approaches -- 6.1 Introduction -- 6.2 Related Work -- 6.3 Image Fusion -- 6.3.1 Types -- 6.3.2 Models -- 6.4 Steps Involved in Image Fusion -- 6.4.1 Image Registration -- 6.4.2 Pre-Processing -- 6.4.3 Post-Processing -- 6.5 Image Fusion Applications -- 6.6 Evaluation Indicators -- 6.6.1 Subjective Evaluation -- 6.6.2 Objective Evaluation -- 6.7 Conclusion -- References -- 7 Case Study: ANPR Utilized for Smart Parking -- 7.1 Introduction -- 7.1.1 Traditional Computer Vision Methods -- 7.1.2 Classifiers -- 7.1.3 Related Work |
| Notes |
8.2 Materials and Method |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed July 20, 2023) |
| Subject |
Artificial intelligence -- Congresses
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Machine learning -- Congresses
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Edge computing -- Congresses
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Artificial intelligence
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Edge computing
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Machine learning
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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 |
Bansal, Jagdish Chand.
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Sharma, Harish
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Chakravorty, Antorweep
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| ISBN |
9789819924684 |
|
9819924685 |
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