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Modern telemetry / / edited by Ondrej Krejcar
| Modern telemetry / / edited by Ondrej Krejcar |
| Pubbl/distr/stampa | Rijeka, Croatia : , : InTech, , [2011] |
| Descrizione fisica | 1 online resource (482 pages) : illustrations |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| ISBN | 953-51-5556-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910137723803321 |
| Rijeka, Croatia : , : InTech, , [2011] | ||
| 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 |
| ISBN | 981-9915-09-0 |
| 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
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| Singapore : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Sensor Technologies for IoT
| Smart Sensor Technologies for IoT |
| Autore | Brida Peter |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (270 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Internet of Things (IoT)
ReRoute Multicast Repair (M-REP) internet of things (IoT) Fast Reroute bit repair (B-REP) failure repair WSN MANET DRONET multilayered network model 5G IoT smart sensors smart sensor IoT system Velostat pressure sensor convolutional neural network data classification position detection magnetometer traffic vehicle classification measurement detection Internet of Things Bluetooth indoor tracking mobile localization optical sensors vibration sensing quality of service differentiation wireless optical networks free space optics multiwavelength laser optical code division multiple access (OCDMA) underwater wireless sensor network energy-efficient clustering depth-based routing mm-wave radars GNSS-RTK positioning wireless technology electromagnetic scanning point cloud localization IMU Wi-Fi positioning dead reckoning particle filter fingerprinting Wi-Fi sensing human activity recognition location-independent meta learning metric learning few-shot learning ACR H.264/AVC H.265/HEVC QoE subjective assessment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557599903321 |
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Brida Peter
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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