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Proceedings of International Conference on Data, Electronics and Computing : ICDEC 2023, Volume 2
| Proceedings of International Conference on Data, Electronics and Computing : ICDEC 2023, Volume 2 |
| Autore | Das Nibaran |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (407 pages) |
| Altri autori (Persone) |
KhanAjoy Kumar
MandalSwagata KrejcarOndrej BhattacharjeeDebotosh |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9764-89-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910896182603321 |
Das Nibaran
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Data, Electronics and Computing : Icdec 2022
| Proceedings of International Conference on Data, Electronics and Computing : Icdec 2022 |
| Autore | Das Nibaran |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (485 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
BinongJuwesh
KrejcarOndrej BhattacharjeeDebotosh |
| Collana | Algorithms for Intelligent Systems Series |
| Soggetto topico |
Algorithms
Artificial intelligence |
| ISBN |
9789819915095
9819915090 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Artificial Intelligence -- Correlation Analysis of Stock Index Data Features Using Sequential Rule Mining Algorithms -- 1 Introduction -- 2 Stock Index Data-Collection and Preprocessing -- 3 Algorithms and Techniques for Analyzing Stock Index Data -- 4 Performance Matrices, Data Structures, and Tools Used -- 5 Implementation of AprioriAll Algorithm on Nifty 50 Index Dataset -- 5.1 Implementation Result-1 (Large Sequences and Maximal Sequences) -- 5.2 Implementation Result-2 (Calculation of Standard Averages for Performance Scales) -- 5.3 Implementation Result-3 (Calculation of Support and Confidence) -- 6 Analysis of the Results Obtained -- 6.1 Result Analysis-1 (Intra- and Inter-Relations Among Features) -- 6.2 Result Analysis-2 (Candidate Generation and Memory Consumption) -- 7 Other Applications of Sequential Mining Algorithms -- 8 Conclusion and Future Works -- References -- A CRF-Based POS Tagging Approach for Bishnupriya Manipuri Language -- 1 Introduction -- 2 Bishnupriya Manipuri Language -- 3 Literature Review -- 4 Methodology -- 4.1 Tagset Used -- 4.2 Preprocessing -- 4.3 Annotation -- 4.4 Bishnupriya Manipuri Corpus -- 4.5 Feature Selection -- 4.6 Proposed Approach -- 5 Experimental Results -- 6 Discussion and Challenges -- 7 Conclusion and Future Works -- References -- IFS: An Incremental Feature Selection Method to Classify High-Dimensional Data -- 1 Introduction -- 2 Motivation and Contributions -- 3 Related Work -- 4 IFS: Proposed Incremental Feature Selection Method -- 4.1 Complexity Analysis of the Proposed IFS -- 5 Results and Experimental Analysis on IFS -- 5.1 Dataset Description -- 6 Conclusion -- References -- Computer-Aided Identification of Loom Type of Ethnic Textile, the Gamusa, Using Texture Features and Random Forest Classifier -- 1 Introduction -- 2 Related Works.
3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Spanning Cactus Existence, Optimization and Extension in Windmill Graphs -- 1 Introduction -- 2 Preliminaries -- 3 Windmill Graph -- 3.1 Construction of Windmill Graph WG(n,m) -- 4 SCEP in a Windmill Graph -- 5 MSCP in a Windmill Graph -- 6 MSCE in a Windmill Graph -- 7 Conclusion -- References -- Effect of Noise in Khasi Speech Recognition System -- 1 Introduction -- 2 The Khasi Language -- 3 Subspace Gaussian Mixture Model -- 4 Database Development -- 5 Feature Extraction -- 6 Experimental Approach -- 7 Results and Discussion -- 8 Conclusion -- References -- Text and Language Independent Classification of Voice Calling Platforms Using Deep Learning -- 1 Introduction -- 2 Data Collection -- 3 Methodology -- 3.1 Pre-Emphasis -- 3.2 Removal of Silence Frames -- 3.3 Audio Spectrogram Generation -- 3.4 Model Architecture -- 4 Experiment and Results -- 4.1 Data Preparation -- 4.2 Model Training -- 4.3 Classification by Using Deep Learning Models -- 4.4 Model Performance -- 4.5 Results -- 5 Conclusion -- References -- An Application of Anomaly Detection to Financial Fraud Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Sourcing and Compilation -- 3.2 Metrics and Evaluation -- 4 Results and Discussions -- 5 Conclusion -- 6 Recommendations -- References -- A Pre-processing-Aided Deep Transfer Learning Model for Human Object Detection in Crowd Scenarios -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Pre-processing -- 2.2 Data Augmentation -- 2.3 Object Detection -- 2.4 Transfer Learning -- 3 Experimental Results -- 4 Conclusion -- References -- Signal Processing -- Component Adaptive Superpixel-Based Joint Sparse Representation for Hyperspectral Image Classification -- 1 Introduction -- 2 Proposed Method. 2.1 Generation of Component Adaptive Superpixels -- 2.2 Classification of Hyperspectral Images -- 3 Description of Datasets -- 4 Experimental Results -- 4.1 Experimental Design -- 4.2 Results -- 5 Conclusion -- References -- Convolutional Autoencoder-Based Models for Image Denoising: A Comparative Study -- 1 Introduction -- 2 Autoencoder Models for Denoising -- 2.1 Description of Model 1 -- 2.2 Description of Model 2 -- 2.3 Description of Model 3 -- 3 Results and Analysis -- 3.1 Dataset Description -- 3.2 Experimental Setup and Evaluation Measure -- 3.3 Denoising Performance -- 3.4 Discussion -- 4 Conclusion -- References -- Simultaneous Prediction of Hand Gestures, Handedness, and Hand Keypoints Using Thermal Images -- 1 Introduction -- 2 Dataset -- 3 Methods -- 3.1 Model Structure -- 3.2 Hand Keypoint Detection -- 3.3 Loss Function -- 4 Experiment -- 5 Discussion and Conclusion -- References -- 3D Point Cloud-Based Hand Gesture Recognition -- 1 Introduction -- 2 Dataset and Preprocessing -- 3 Feature Descriptor -- 3.1 Features from Points and Angles -- 3.2 Convex Hull Based Features -- 3.3 Moments-Based Features -- 3.4 Zoning -- 4 Experimental Results -- 5 Conclusion -- References -- Motion-Based Representations for Trajectory-Based Hand Gestures: A Brief Overview -- 1 Introduction -- 2 Motion-Based Approaches -- 2.1 Optical Flow Techniques -- 2.2 Motion Templates -- 3 Conclusion -- References -- An Approach Toward Detection of Doubling Print Defect Using SSIM Algorithm -- 1 Introduction -- 2 Presented Method -- 3 Results and Discussion -- 4 Conclusion -- References -- Multi-variant Statistical Tools and Soft Computing Methodology-Based Hybrid Model for Classification and Characterization of Yeast Data -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Description -- 2.2 Residual Analysis -- 3 Implementation -- 4 Result. 5 Conclusion and Future Scope -- References -- Recent Challenges and Opportunities of Multilingual Natural Scene Text Recognition and Its Real World Deployment -- 1 Introduction -- 1.1 Applications -- 1.2 Different New Challenges -- 1.3 Comprehensive Multilingual Natural Scene Text Understanding -- 1.4 Contribution -- 2 Related Study -- 3 Proposed Work -- 4 Experiments -- 4.1 Dataset Description -- 4.2 JUDVLP-MNSTextdb.v1 Dataset Image Analysis -- 4.3 Results Analysis -- 5 Conclusion -- References -- Healthcare -- Automated Cervical Dysplasia Detection: A Multi-resolution Transform-Based Approach -- 1 Introduction -- 2 Methods -- 2.1 Database Generation and Ground Truth Preparation -- 2.2 Color Channel Study Signifying Its Importance -- 2.3 Feature Extraction -- 2.4 Feature Representation -- 2.5 Classification -- 3 Results -- 3.1 Results and Discussion Using DWT -- 3.2 Results and Discussion Using RT -- 3.3 Results and Discussion Using NSCT -- 4 Comparison -- 4.1 Final Observations -- 4.2 Comparison with Existing Works -- 5 Conclusion -- References -- An IoT-Enabled Vital Cardiac Parameter Monitoring System on Real-Time Basis -- 1 Introduction -- 2 Related Work -- 3 Problems in Relative Domain, and Solution is Provided by the System -- 4 Challenges -- 5 Advantages -- 6 Methodology -- 7 Hardware and Sensors -- 8 Circuit Diagram -- 9 Connections -- 10 Result Analysis -- 11 Conclusion -- References -- Elucidating the Inhibition Mechanism of FDA-Approved Drugs on P-glycoprotein (P-gp) Transporter by Molecular Docking Simulation -- 1 Introduction -- 2 Method -- 2.1 Structure of P-gp -- 2.2 Selection of the Compounds -- 2.3 Binding Site Prediction -- 2.4 Molecular Docking by Autodock Vina -- 3 Results -- 3.1 Energy Minimization of the Compounds -- 3.2 Docking of Inhibitors with P-gp -- 3.3 Toxicity Prediction of the Inhibitors -- 4 Conclusion -- References. A Fast Restoration of Weather Degraded Images -- 1 Introduction -- 2 Background -- 3 Proposed Method -- 4 Experimental Observations -- 5 Conclusion -- References -- Multi-level Feature-Based Subcellular Location Prediction of Apoptosis Proteins -- 1 Introduction -- 2 Material and Methods -- 2.1 Datasets -- 2.2 Feature Extraction -- 3 Results -- 3.1 Performance Evaluation and Validation Method -- 3.2 Classifier Selection -- 3.3 Feature Selection -- 3.4 Overall Classification -- 3.5 Method Comparison -- 4 Conclusion -- References -- The Identification of Chromatin Contact Domains (CCD) in Human Genomes from ChIA-PET Data Using Graph Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Graph Construction -- 2.2 Modularity Maximization -- 2.3 Markov Cluster Algorithm -- 2.4 k-Clique Percolation -- 2.5 Comparing the Algorithms -- 3 Result -- 4 Conclusion -- References -- Prediction of COVID-19 Drug Targets Based on Protein Sequence and Network Properties Using Machine Learning Algorithm -- 1 Introduction -- 2 Materials and Method -- 2.1 Data Collection -- 2.2 Sequence Features -- 2.3 Network Features -- 2.4 Classification -- 2.5 Performance Measures -- 3 Results -- 4 Discussion -- References -- A Meta-consensus Strategy for Binarization of Dendritic Spines Images -- 1 Introduction -- 2 Methodology -- 2.1 Basic Definitions and Notations -- 2.2 Our Proposed Algorithm -- 3 Experimental Results and Discussion -- 3.1 Dataset Description -- 3.2 Results and Discussion -- 4 Conclusion -- References -- Malignancy Identification from Cytology Images Using Deep Optimal Features -- 1 Introduction -- 2 Literature Survey -- 3 Material and Method -- 3.1 Dataset Description -- 3.2 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Source Camera Identification Using GGD and Normalized DCT Model-Based Feature Extraction. 1 Introduction. |
| Record Nr. | UNINA-9910766892803321 |
|
Das Nibaran
|
||
| Singapore : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||