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Computer and Communication Engineering [[electronic resource] ] : Third International Conference, CCCE 2023, Stockholm, Sweden, March 10–12, 2023, Revised Selected Papers / / edited by Filippo Neri, Ke-Lin Du, Vijayakumar Varadarajan, Angel-Antonio San-Blas, Zhiyu Jiang
| Computer and Communication Engineering [[electronic resource] ] : Third International Conference, CCCE 2023, Stockholm, Sweden, March 10–12, 2023, Revised Selected Papers / / edited by Filippo Neri, Ke-Lin Du, Vijayakumar Varadarajan, Angel-Antonio San-Blas, Zhiyu Jiang |
| Autore | Neri Filippo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (239 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
DuKe-Lin
VaradarajanVijayakumar San-BlasAngel-Antonio JiangZhiyu |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Artificial intelligence Image processing—Digital techniques Computer vision Software engineering Computer science—Mathematics Computer Engineering and Networks Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering Mathematics of Computing |
| ISBN | 3-031-35299-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image analysis and method: Enhanced Acoustic Noise Reduction Techniques for Magnetic Resonance Imaging System -- Rough Rice Grading in the Philippines Using Infrared Thermography -- An Interpretable Hybrid Recommender Based on Graph Convolution to Address Serendipity -- Network Model and Function Analysis of Mobile Network: A Geometry-based Strategic Placement of RISs In millimeter Wave Device to Device Communication -- Obstacle Aware Link Selection for Stable Multicast D2D Communications -- Mobility Aware Path Selection for Millimeterwave 5G Networks in the Presence of Obstacles -- A Probabilistic Analysis of the Delay in RIS Assisted SISO D2D Communication using Chernoff's Bounds -- An Empirical Analysis on Lossless Compression Techniques: Enhancing IoT Security through Deep Learning-based Intrusion Detection -- A Security and Vulnerability Assessment on Android Gambling Applications -- A Compliance Based and Security Assessment of Bring Your Own Device (BYOD) in Organizations -- A Compliance Based and Security Assessment of Bring Your Own Device (BYOD) in Organizations -- AI -based system model and algorithm: Application of Machine Learning in Predicting Crime Links on Specialized Features -- An Empirical Analysis on Lossless Compression Techniques -- An Analysis of the Performance Changes of the Model by Reducing the Input Feature Dimension in Stock Price Forecasting -- A Hybrid Algorithm by Incorporating Neural Network and Metaheuristic Algorithms for Function Approximation and Demand Prediction Estimation -- Deep QA: An Open-Domain Dataset of Deep Questions and Comprehensive Answers -- Tropical Cyclone Analysis and Accumulated Precipitation Predictive Model Using Regression Machine Learning Algorithm -- Mapping Learning Algorithms on Data, A Promising Novel Methodology to Compare Learning Algorithms. |
| Record Nr. | UNISA-996546822703316 |
Neri Filippo
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Computer and Communication Engineering : Third International Conference, CCCE 2023, Stockholm, Sweden, March 10–12, 2023, Revised Selected Papers / / edited by Filippo Neri, Ke-Lin Du, Vijayakumar Varadarajan, Angel-Antonio San-Blas, Zhiyu Jiang
| Computer and Communication Engineering : Third International Conference, CCCE 2023, Stockholm, Sweden, March 10–12, 2023, Revised Selected Papers / / edited by Filippo Neri, Ke-Lin Du, Vijayakumar Varadarajan, Angel-Antonio San-Blas, Zhiyu Jiang |
| Autore | Neri Filippo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (239 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
DuKe-Lin
VaradarajanVijayakumar San-BlasAngel-Antonio JiangZhiyu |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer engineering
Computer networks Artificial intelligence Image processing—Digital techniques Computer vision Software engineering Computer science—Mathematics Computer Engineering and Networks Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering Mathematics of Computing |
| ISBN | 3-031-35299-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image analysis and method: Enhanced Acoustic Noise Reduction Techniques for Magnetic Resonance Imaging System -- Rough Rice Grading in the Philippines Using Infrared Thermography -- An Interpretable Hybrid Recommender Based on Graph Convolution to Address Serendipity -- Network Model and Function Analysis of Mobile Network: A Geometry-based Strategic Placement of RISs In millimeter Wave Device to Device Communication -- Obstacle Aware Link Selection for Stable Multicast D2D Communications -- Mobility Aware Path Selection for Millimeterwave 5G Networks in the Presence of Obstacles -- A Probabilistic Analysis of the Delay in RIS Assisted SISO D2D Communication using Chernoff's Bounds -- An Empirical Analysis on Lossless Compression Techniques: Enhancing IoT Security through Deep Learning-based Intrusion Detection -- A Security and Vulnerability Assessment on Android Gambling Applications -- A Compliance Based and Security Assessment of Bring Your Own Device (BYOD) in Organizations -- A Compliance Based and Security Assessment of Bring Your Own Device (BYOD) in Organizations -- AI -based system model and algorithm: Application of Machine Learning in Predicting Crime Links on Specialized Features -- An Empirical Analysis on Lossless Compression Techniques -- An Analysis of the Performance Changes of the Model by Reducing the Input Feature Dimension in Stock Price Forecasting -- A Hybrid Algorithm by Incorporating Neural Network and Metaheuristic Algorithms for Function Approximation and Demand Prediction Estimation -- Deep QA: An Open-Domain Dataset of Deep Questions and Comprehensive Answers -- Tropical Cyclone Analysis and Accumulated Precipitation Predictive Model Using Regression Machine Learning Algorithm -- Mapping Learning Algorithms on Data, A Promising Novel Methodology to Compare Learning Algorithms. |
| Record Nr. | UNINA-9910731474903321 |
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Neri Filippo
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Communication Technologies and Virtual Mobile Networks : Proceedings of ICICV 2023 / / edited by G. Rajakumar, Ke-Lin Du, Álvaro Rocha
| Intelligent Communication Technologies and Virtual Mobile Networks : Proceedings of ICICV 2023 / / edited by G. Rajakumar, Ke-Lin Du, Álvaro Rocha |
| Autore | Rajakumar G |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (923 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
DuKe-Lin
RochaÁlvaro |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Telecommunication
Wireless communication systems Mobile communication systems Internet of things Computer vision Communications Engineering, Networks Wireless and Mobile Communication Internet of Things Computer Vision |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-9917-67-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. A DGS loaded Compact Super - Wideband Antenna for Microwave Imaging Application -- Chapter 2. A Study on Repeated Game Theory in Wireless Sensor Networks Security -- Chapter 3. An Overview of Information-Centric Network: Concepts, Network Architecture, Comparison, and Difficulties -- Chapter 4. Automated Mishap Detection and Prevention System for Vehicles -- Chapter 5. Autonomous Drone Using Time of Flight Sensor for Collision Avoidance -- Chapter 6. Collaborative Communication Models in Non-Cash Food Assistance (Bantuan Pangan Non-Tunai, Bpnt) Program: Towards Community Resilience -- Chapter 7. Communication technology for information exchange using short-range unmanned aerial vehicles -- Chapter 8. Evaluative Aspects of Wireless Sensor Networks Reliability Model: A Case Study -- Chapter 9. Implementation of 3D Object Models for Mobile Applications in UI/UX Design using SceneView API -- Chapter 10. Latest Trends in Wireless Network Optimization using Distributed Learning -- Chapter 11. Malware Classification in Local System Executable Files Using Deep learning -- Chapter 12. New generation 3D optical switch for free pace optical networks -- Chapter 13. Terrain Dimensions and Node Density Analysis of MANET using NS2 and BonnMotion -- Chapter 14. Towards Secure Fault-tolerant Wireless Sensor Communication: Challenges and Applications -- Chapter 15. Utilizing Data from Quick Access Recorder to Predict Faulty Processing on Aircrafts. etc. . |
| Record Nr. | UNINA-9910728938903321 |
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Rajakumar G
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Second International Conference on Image Processing and Capsule Networks : Icipcn 2021
| Second International Conference on Image Processing and Capsule Networks : Icipcn 2021 |
| Autore | Chen Joy Iong-zong |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (840 pages) |
| Altri autori (Persone) |
TavaresJoão Manuel R. S
IliyasuAbdullah M DuKe-Lin |
| Collana | Lecture Notes in Networks and Systems Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-84760-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition -- 1 Introduction -- 2 Major Challenges in Traffic Light Recognition -- 3 Traffic Light Recognition System -- 3.1 Dataset/Data Acquisition -- 3.2 Pre-processing -- 3.3 Localization -- 3.4 Feature Extraction Using Color and Shape -- 3.5 Verification -- 4 Discussion -- 5 Conclusion and Future Work -- 5.1 Concluding Remarks -- 5.2 Research Gaps and Future Work -- References -- Machine Learning Based Detection and Classification of Heart Abnormalities -- 1 Introduction -- 2 Methodology -- 2.1 Proposed Algorıthm for Detectıon and Classıfıcatıon of Abnormalıty -- 3 Results and Discussions -- 4 Conclusions -- References -- An Evaluation of Multiclass Leaf Classification Using Transfer Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Residual Network (ResNet152) -- 3.2 MobileNet -- 3.3 Inception V3 -- 3.4 DenseNet201 -- 4 Experimental Analysis and Result -- 4.1 Data -- 4.2 Implementation -- 5 Discussion -- 6 Conclusion -- References -- Scene Generated with Text Guidance (VAAB System) -- 1 Introduction -- 2 Literature Survey -- 3 Architectural Details -- 3.1 Android Application -- 3.2 Refined Novel GAN -- 4 Experimental Details -- 4.1 How to Evaluate GANs? -- 4.2 Implementation -- 4.3 Comparision with the Avant-Garde Approaches -- 5 Implementation Necessities -- 5.1 Need of POS Tagging -- 5.2 Effectiveness of Affine Combination Module -- 5.3 Effectiveness of Refined Multi-stage Architecture -- 5.4 Effectiveness of Structure Loss -- 6 Conclusion -- References -- Machine Learning Approaches for Image Quality Improvement -- 1 Introduction -- 1.1 Noise Model for Magnetic Resonance (MR) Images -- 1.2 Magnetic Resonance Imaging (MRI) -- 2 Literature Review.
3 Results and Discussions -- 3.1 Performance Factors -- 4 Conclusion -- References -- Natural Disaster Prediction by Using Image Based Deep Learning and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Tools and Technology for Data Collection -- 4 Proposed Predictive Model -- 5 Conclusion -- References -- A Novel Multi-objective Differential Evolution Algorithm for Clustering Data Streams -- 1 Introduction -- 2 Background -- 2.1 Data Clustering -- 2.2 Data Stream Mining Framework -- 2.3 Traditional Versus Data Stream Clustering Methods -- 3 Proposed Method: Multi-objective Based Clustering -- 3.1 Automatic Clustering by Elitism Based Multi-objective DE -- 3.2 Objective Functions Formulation -- 3.3 Population Representation and Initialization -- 3.4 Algorithm for AC-EMODE Clustering -- 4 Experimental Results -- 4.1 Datasets Used -- 4.2 Measures of Assessment -- 5 Conclusion and Future Scope -- References -- An Algorithm for Pre-processing of Areca Nut for Quality Classification -- 1 Introduction -- 2 Image Acquisition -- 3 Image Pre-processing -- 3.1 Contrast Enhancement -- 3.2 Image Filtering -- 3.3 Image Segmentation -- 3.4 Canny Edge Detection(CED) -- 3.5 Image Cropping -- 4 Results and Analysis -- 5 Conclusion -- References -- An Effect of Binarization on Handwritten Digits Recognition by Hierarchical Neural Networks -- 1 Introduction -- 2 Architecture of Convolutional Neural Network -- 3 Binarization of Images -- 3.1 Global Binarization -- 3.2 Local Binarization -- 3.3 Feature Extraction Method -- 3.4 Neural Network Performance -- 4 Hierarchical Neural Networks -- 5 Conclusion -- References -- Deep Convolutional Neural Networks (CNNs) to Detect Abnormality in Musculoskeletal Radiographs -- 1 Introduction -- 2 Related Works -- 2.1 Methodology Adopted -- 2.2 Dataset Details -- 2.3 Data Preprocessing -- 2.4 Models -- 2.5 Results. 2.6 Conclusion and Scope of Improvement -- References -- Geospatial Object Detection for Scene Understanding Using Remote Sensing Images -- 1 Introduction -- 2 Machine Learning (ML) Based -- 3 Deep Learning (DL) Based -- 3.1 Convolution Neural Networks (CNN) -- 3.2 Transfer Learning -- 3.3 Domain Adaption -- 3.4 Metric Learning -- 4 Other Techniques -- 4.1 Object-Based Image Analysis (OBIA) -- 4.2 You Only Look Once (YOLO) -- 5 Conclusion -- References -- Antıspoofing Detection System for Online Classes and Online Meeting -- 1 Introduction -- 2 Background -- 3 Proposed Method -- 4 Results and Discussion -- 4.1 Stage I Verification -- 4.2 Stage II Verification -- 5 Conclusion -- References -- Pre-processing Block Hardware Architecture in Image Processing Using Reconfigurable Platform -- 1 Introduction -- 2 Pre Processing Blocks in Image Processing -- 3 Pre Processing Block Hardware Architecture -- 4 Pre-procesing Block Memory -- 4.1 Write Mode -- 4.2 Read Mode -- 4.3 Additional User Choice -- 5 Experimental Evaluation Over Reconfigurable Platform -- 5.1 Convolution -- 5.2 Read and Write Mode Results -- 6 Conclusion -- References -- Deep Learning Approach to Classify Road Traffic Sign Images -- 1 Introduction -- 2 Related Work -- 3 Dataset Used -- 4 Methodology -- 4.1 Convolutional Neural Network Architecture -- 4.2 Data Augmentation -- 4.3 Batch Normalization -- 4.4 Dropout -- 5 Results -- 6 Conclusion -- 7 Future Scope -- References -- Performance Analysis of Medical Image Denoising Techniques -- 1 Introduction -- 2 Source and Corruption of Medical Image -- 2.1 Gaussian Noise -- 2.2 Speckle Noise -- 3 Noise Reduction Techniques -- 3.1 Median Filter -- 3.2 Adaptive Median Filter -- 3.3 Mean Filter -- 3.4 Fuzzy Filter -- 3.5 Wiener Filter -- 3.6 Speckle Reduction Anisotropic Diffusion Filter -- 4 Results and Discussions -- 5 Conclusion. 6 Future Scope -- References -- Optimal Sizing and Placement of Multiple DGs in Distribution Network to Reduce Total Loss Using Cuckoo Search Optimization -- 1 Introduction -- 2 Methodology -- 3 Cuckoo Search (CS) Optımısatıon Technique -- 4 Result and Dıscussıon -- 5 Conclusion -- References -- Integrating Virtual Reality with 3D Modeling for Interactive Architectural Visualization and Photorealistic Simulation: A Direction for Future Smart Construction Design Using a Game Engine -- 1 Introduction -- 2 Background -- 2.1 Virtual Reality for Architecture -- 2.2 Unreal Engine for Architecture -- 3 Related Literature -- 4 Methodology -- 4.1 Phase I - Plan and Design -- 4.2 Phase II - Assets and Lighting -- 4.3 Phase III - Rendering -- 5 Results and Discussions -- 6 Conclusion -- References -- LBPX: A Novel Feature Extraction Method for Iris Recognition -- 1 Introduction -- 2 System Description -- 3 Literature Review -- 4 Methodology -- 5 Experimental Results -- 6 Conclusion -- References -- Multi-features Based Multi-layer Perceptron for Facial Expression Recognition System -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Multi-feature Extraction -- 3.2 Multi-layer Perceptron (MLP) Classifier -- 4 Experimental Evaluation -- 4.1 Outcomes and Discussion -- 5 Conclusion -- References -- Reducing DFT Leakage in Speech Recognition Using Pitch Segmentation -- 1 Introduction -- 2 DFT Leakage -- 2.1 Non-spectral Leakage -- 2.2 Spectral Leakage -- 3 Pitch Based Speech Segmentation -- 3.1 Short-Time Energy Waveform -- 4 Experiment -- 5 Conclusion -- References -- Musical Instrument Sound Classification Using GoogleNet with SVM and kNN Model -- 1 Introduction -- 2 Literature Review -- 3 Feature Extraction -- 3.1 Pre-trained Convolution Neural Networks -- 3.2 GoogleNet -- 4 Classifiers -- 4.1 Support Vector Machine -- 4.2 K-Nearest Neighbor. 5 Proposed Work -- 6 Performance Measures -- 7 Experimental Results -- 7.1 Dataset -- 7.2 MISC Using GoogleNet with SVM -- 7.3 MISC Using GoogleNet with kNN -- 8 Comparative Result Analysis -- 9 Conclusion -- References -- Classification of Stages of Thyroid Nodules in Ultrasound Images Using Transfer Learning Methods -- 1 Introduction -- 2 Related Work -- 3 Image Database -- 4 Methodology -- 4.1 Convolutional Neural Network -- 4.2 Transfer Learning -- 5 Results and Outcomes -- 6 Conclusion -- References -- A Monadic and Effective Frame Work for Single Human Pose Estimation of 2D Images and Videos -- 1 Introduction -- 2 Literature Review -- 2.1 Models for Human Body Pose Estimation -- 2.2 Primary Techniques for Pose Estimation -- 2.3 Single 2D Pose Estimation -- 2.4 Deep Learning Methods for Pose Estimation -- 3 Proposed Work -- 3.1 MonadicPose Architecture -- 3.2 Algorithm for Single Pose Estimation of Image/Video -- 4 Data Sets -- 5 Experiments and Results Comparisons -- 5.1 Metrics -- 5.2 Results -- 6 Conclusion -- References -- A Review on Fruit Detection and Segmentation Techniques in Agricultural Field -- 1 Introduction -- 2 Motivation -- 3 Background -- 4 Concepts of Detection and Segmentation -- 4.1 Object Detection -- 4.2 Image Segmentation -- 5 Methodology Used for Fruit Detection and Segmentation -- 6 Results and Discussions -- 7 Conclusion -- 8 Challenges and Future Scope -- References -- A Survey on Anomaly Detection Strategies -- 1 Introduction -- 2 Overview of Anomaly Detection -- 3 Detailed Study of Anomaly Detection Techniques -- 3.1 Unsupervised Methods -- 3.2 Supervised Methods -- 3.3 Semi-supervised Methods -- 3.4 Others -- 4 Observations -- 5 Conclusion -- References -- Biometric Authentication Based Smart Bank Locker Security System -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Experimental Verification. 5 Conclusion and Future Work. |
| Altri titoli varianti | Second International Conference on Image Processing and Capsule Networks |
| Record Nr. | UNINA-9910502615603321 |
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Chen Joy Iong-zong
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sentimental Analysis and Deep Learning : Proceedings of ICSADL 2021
| Sentimental Analysis and Deep Learning : Proceedings of ICSADL 2021 |
| Autore | Shakya Subarna |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (1023 pages) |
| Altri autori (Persone) |
BalasValentina Emilia
KamolphiwongSinchai DuKe-Lin |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-5157-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- 508480_1_En_BookFrontmatter_OnlinePDF -- Preface -- Acknowledgments -- Contents -- Editors and Contributors -- Analysis of Healthcare Industry Using Machine Learning Approach: A Case Study in Bengaluru Region -- 1 Introduction -- 2 Literature Survey -- 3 Challenges Faced During Data Acquisition -- 4 Methodology -- 4.1 Web Scraping -- 4.2 Statistical Analysis -- 4.3 Natural Language Processing -- 4.4 Sentimental Analysis -- 5 Results and Discussion -- 6 Conclusion -- References -- Dynamic Document Localization for Efficient Mining -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Probabilistic Model for Query-Workload -- 3.2 Probabilistic Model for Content-Workload -- 3.3 Bernoulli Model for Rank Calculation -- 4 Fuzzy Threshold Algorithms -- 5 Experimental Analysis -- 5.1 Effect of Attribute Suggestion to Determine Precision and Recall -- 5.2 Effect of Biasing Coefficient for Determining Attribute Matches -- 5.3 Effect of Database Size for Determining Precision -- 6 Conclusion -- References -- SentiSeries: A Trilogy of Customer Reviews, Sentiment Analysis and Time Series -- 1 Introduction -- 2 Literature Review -- 3 Theory of Dynamic Sentiment Tracking -- 3.1 Natural Language Processing-Sentiment Analysis -- 3.2 Time Series Characteristics -- 4 Dataset -- 5 Results and Discussions -- 6 Conclusions and Future Work -- References -- Video Summarization Using Fully Convolutional Residual Dense Network -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Problem Description -- 3.2 Fully Convolutional Residual Dense Network -- 4 Results -- 4.1 Datasets -- 4.2 Result -- 5 Conclusion -- References -- An Efficient Deep Learning Approach for Detecting Pneumonia Using the Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Material and Methods -- 3.1 Dataset -- 3.2 Preprocessing and Data Augmentation.
3.3 Proposed Model -- 4 Result Analysis -- 5 Discussion -- 6 Conclusion -- References -- QMCDS: Quantum Memory for Cloud Data Storage -- 1 Introduction -- 2 Literature Survey -- 2.1 Related Work -- 2.2 Contributions -- 3 Preliminaries -- 3.1 Qubit -- 3.2 Representation of Quantum Gates -- 3.3 Bloch Sphere -- 4 Proposed Solution -- 5 Experiments and Observation -- 6 Conclusion and Future Scope -- References -- A Study Towards Bangla Fake News Detection Using Machine Learning and Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Research Methodology (PRM) -- 3.1 Experimental Setup -- 3.2 Data Preparation Pipeline (DPP) -- 3.3 Features Extraction Methods (FEM) -- 3.4 Algorithm Selection Procedure (ASP) -- 4 Result and Analysis -- 4.1 Performance Analysis (PA) -- 4.2 Comparative Analysis (CA) -- 5 Conclusions and Future Work -- References -- A Deep Learning Approach to Analyze the Propagation of Pandemic in America -- 1 Introduction -- 1.1 The Goal of the Paper and Its Contributions -- 1.2 Organization -- 2 The Architecture of the Framework -- 3 Proposed SIR Model -- 4 Proposed Algorithm -- 5 Performance Evaluation -- 5.1 Results -- 6 Discussion -- 7 Conclusion and Future Research -- References -- Graph Convolution-Based Joint Learning of Rumor with Content, User Credibility, Propagation Context, and Cognitive as Well as Emotion Signals -- 1 Introduction -- 2 Existing Work -- 2.1 Rumor Detection and Veracity Classification -- 2.2 Emotion Research and Application of Emotion in Fake News and Rumor Research -- 2.3 Cognitive Signals in Disinformation Research -- 3 Dataset -- 4 Analysis of Cognitive and Emotion Patterns in Rumor and Non-rumor -- 5 Methodology -- 6 Results and Analysis -- 7 Conclusion and Future Work -- References -- Deep Learning-Based Real-Time Object Classification and Recognition Using Supervised Learning Approach. 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Results and Analysis -- 4.1 Performance Analysis [15-19] -- 5 Conclusion and Future Work -- References -- Single-Channel Speech Enhancement in Modulation Domain Using Particle Swarm Optimization -- 1 Introduction -- 2 Spectral Subtraction -- 2.1 Modulation Domain Spectral Subtraction -- 3 Standard Particle Swarm Optimization -- 4 Proposed Noise Estimation Using PSO -- 5 Results -- 6 Conclusion -- References -- Pneumonia and Diabetic Retinopathy Detection Using Deep Learning Algorithm -- 1 Introduction -- 2 Related Work -- 3 Research Gap -- 4 Problem Definition -- 5 Methodology -- 5.1 Algorithm Used- Convolutional Neural Networks -- 5.2 Data Pre-processing -- 5.3 Model Information -- 5.4 Datasets Used -- 6 Results -- 6.1 Screenshots of Results -- 7 Conclusion -- 8 Future Scope -- References -- Design of IoT-Based Improved Multimodal Ant Colony Optimızation (MM-ACO) Algorithm for Real-Time Applications -- 1 Introduction -- 2 Existing System -- 3 Proposed Algorithm -- 4 Conclusion -- References -- An Interview Transcriber Using Natural Language Processing -- 1 Introduction -- 2 Literature Review -- 3 Proposed System Methodology -- 4 Information Extraction -- 4.1 Approaches to Extract Information -- 5 Textual Similarity -- 5.1 Approaches for Text Pre-processing -- 6 Observed Results -- 6.1 Extracting Information Using Keywords -- 6.2 Extracting Information Based on Similar Pool of Words -- 7 Work Embeddings for Future Deeper Approaches Like Word2Vec -- 7.1 Word2Vec -- 8 Conclusion and Future Scope -- References -- Plagiarism Detection for Source Codes and Texts -- 1 Introduction -- 2 Objectives -- 3 Literature Review -- 4 Proposed Work -- 5 Experimental Analysis -- 6 Result and Discussion -- 7 Conclusion -- References. Investigation of Kinetic Energy Harvesting from Human Body Motion Activities Using Free/Impact Electromagnetic Generator -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Storage of Harvested Energy -- 3.2 The Designed Structure of Biomechanical Hip Energy Harvester -- 4 Results and Discussion -- 4.1 Hip Joint Gait Cycle -- 4.2 Positioning the Angle of Harvester -- 4.3 Hip Joint Gait Harvesting at Walking Speed 80 M/Min -- 5 Conclusion -- References -- Automated Determination of Critical Temperature -- 1 Introduction -- 1.1 Critical Temperature -- 1.2 Machine Learning Algorithms -- 1.3 Dataset -- 2 Literature Survey -- 3 Methodology -- 3.1 Algorithm Followed for Developing the Models -- 3.2 Data Preprocessing -- 3.3 Working of the Models -- 3.4 Model Training -- 3.5 Model Testing -- 3.6 Model Performance Determination -- 4 Results and Discussion -- 5 Conclusion -- References -- ANN-based Hybridization Approach for Detection of Cardiac Disease -- 1 Introduction -- 1.1 Feedforward Networks (FFN) -- 1.2 Feedback Networks -- 1.3 ANN Learning -- 2 Literature Review -- 3 Problem Formulation -- 4 Proposed System -- 5 Algorithms -- 5.1 Artificial Neural Network (ANN) -- 5.2 Gradient Descent Algorithm -- 5.3 Genetic Algorithm -- 6 Error Back Propagation (EBP) -- 7 Machine Learning Network -- 8 Benefits of Genetic Algorithm in Neural Network -- 9 Tests and Results -- 10 Conclusion and Future Scope -- References -- The Implementation of Enhanced K-Strange Points Clustering Method in Classifying Undergraduate Thesis Titles -- 1 Introduction -- 1.1 Motivation -- 2 Illustration of Enhanced K-Strange Points Clustering Algorithm -- 3 Research Method -- 3.1 Research Data -- 3.2 Text Mining -- 3.3 Enhanced K-Strange Points Clustering Algorithm -- 3.4 Silhouette Coefficient Testing -- 4 Mathematical Illustration. 4.1 Step I: Finding the Minimum of the Dataset (Kmin) -- 4.2 Step II: Finding the Maximum of the Dataset (Kmax) -- 4.3 Step III: Finding the Third Strange Point -- 4.4 Step IV: Correcting the K-Strange Point -- 4.5 Step V: Assigning Points to Respective Clusters -- 5 Result and Discussion -- 5.1 Collect Data -- 5.2 Text Parsing -- 5.3 The Process of Document Clustering -- 5.4 Testing -- 6 Conclusion -- References -- Spam Email Detection Using Machine Learning and Neural Networks -- 1 Introduction -- 2 Literature Review -- 2.1 Existing System -- 3 Proposed Methodology -- 3.1 Data Set Reading and Inspection -- 3.2 Text Preprocessing -- 3.3 Feature Sets and Vectorization -- 3.4 Pipeline and Modeling -- 4 Results -- 5 Conclusion -- References -- Online Appointment Management System in Hospitals Using Distributed Resource Allocation Algorithm -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Module Description -- 3.2 Distributed Resource Allocation Algorithm -- 3.3 Data Flow -- 4 Experimental Result -- 5 Conclusion -- References -- BeFit-A Real-Time Workout Analyzer -- 1 Introduction -- 2 Related Work -- 3 Methodology Adopted -- 3.1 Working of PoseNet Model -- 3.2 Comparison Analysis -- 3.3 Detecting User's Pose -- 3.4 Getting Pose from Yoga/Gym Workout Selected -- 3.5 Comparing the Skeletons -- 3.6 Data Stream Handling -- 4 Final Implementation -- 5 Advantages -- 6 Future Scope -- 7 Results -- 8 Conclusion -- References -- Analysis of Car Damage for Personal Auto Claim Using CNN -- 1 Introduction -- 2 Literature Survey -- 3 Design -- 4 Proposed Method -- 5 Results and Simulation -- 6 Conclusion -- References -- On the Analysis Problem of the Attribute-Based Access Control Model HGABAC -- 1 Introduction -- 2 HGABAC: An ABAC Model and Its Administrative Model GRUAG -- 3 Automated Analysis Technique for GURAG System -- 4 Evaluation. 5 Conclusions. |
| Record Nr. | UNINA-9910506400703321 |
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Shakya Subarna
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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