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Deep Learning and Data Labeling for Medical Applications : First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise
| Deep Learning and Data Labeling for Medical Applications : First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 280 p. 115 illus.) |
| Disciplina | 610.285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Computer graphics Health informatics Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Computer Graphics Health Informatics |
| ISBN | 3-319-46976-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Active learning -- Semi-supervised learning -- Reinforcement learning -- Domain adaptation and transfer learning -- Crowd-sourcing annotations and fusion of labels from different sources -- Data augmentation -- Modelling of label uncertainty -- Visualization and human-computer interaction -- Image description -- Medical imaging-based diagnosis -- Medical signal-based diagnosis -- Medical image reconstruction and model selection using deep learning techniques -- Meta-heuristic techniques for fine-tuning -- Parameter in deep learning-based architectures -- Applications based on deep learning techniques. |
| Record Nr. | UNINA-9910483811703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Developments in Medical Image Processing and Computational Vision / / edited by João Manuel R. S. Tavares, Renato Natal Jorge
| Developments in Medical Image Processing and Computational Vision / / edited by João Manuel R. S. Tavares, Renato Natal Jorge |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (400 p.) |
| Disciplina |
006.6
519 610 610.28 616.0757 620 |
| Collana | Lecture Notes in Computational Vision and Biomechanics |
| Soggetto topico |
Biomedical engineering
Radiology Optical data processing Medicine Applied mathematics Engineering mathematics Biomedical Engineering and Bioengineering Imaging / Radiology Computer Imaging, Vision, Pattern Recognition and Graphics Biomedicine, general Applications of Mathematics |
| ISBN | 3-319-13407-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- On the evaluation of automated MRI brain segmentations: technical and conceptual tools, by Elisabetta Binaghi, Valentina Pedoia, Desiree Lattanzi, Emanuele Monti, Sergio Balbi, Renzo Minotto -- Analysis of the retinal nerve fiber layer texture related to the thickness measured by optical coherence tomography, by J. Odstrcilik, R. Kolar, R.P. Tornow, A. Budai, J. Jan, P. Mackova, M. Vodakova -- Continuum mechanics meets echocardiographic imaging: investigation on the principal strain lines in human left ventricle, by A. Evangelista, S. Gabriele, P. Nardinocchi, P. Piras, P.E. Puddu, L. Teresi, C. Torromeo, V. Varano -- A GPU accelerated algorithm for blood detection in wireless capsule endoscopy images, by Sunil Kumar, Isabel N. Figueiredo, Carlos Graça, Gabriel Falcão -- Automated image mining in fMRI Reports: a meta-research study, by N. Gonçalves, G. Vranou, R. Vigário -- Visual pattern recognition framework based on the best rank tensor decomposition, by B. Cyganek -- Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method, by B. Taboada, F. C. Monteiro, R. Lima -- A 3D computed tomography based tool for orthopedic surgery planning, by João Ribeiro, Victor Alves, Sara Silva, Jaime Campos -- Preoperative planning of surgical treatment with the use of 3D visualization and finite element method, by Wolański Wojciech, Gzik-Zroska Bożena, Kawlewska Edyta, Gzik Marek, Dzielicki Józef, Larysz Dawid, Rudnik Adam -- Pretreatment and reconstruction of three-dimensional images applied in a locking reconstruction plate for a structural analysis with FEA, by João Paulo O. Freitas, Edson A. Capello de Sousa, Cesar R. Foschini, Rogerio R. Santos, Sheila C. Rahal -- Tortuosity influence on the trabecular bone elasticity and mechanical competence, by Waldir Leite Roque, Angel Alberich-Bayarri -- Influence of beam hardening artifact in bone interface contact evaluation by 3D X-ray microtomography, by I. Lima, M. Marquezan, M. M. G. Souza, E. F. Sant’Anna, R. T. Lopes -- Anisotropy estimation of trabecular bone in gray-scale: comparison between cone beam and micro computed tomography data, by Rodrigo Moreno, Magnus Borga, Eva Klintström, Torkel Brismar, Örjan Smedby -- Fractured bone identification from CT images, fragment separation and fracture zone detection, by Félix Paulano, Juan J. Jiménez, Rubén Pulido -- On evolutionary integral models for image restoration, by E. Cuesta, A. Durán, M. Kirane -- Colour image quantisation using KM and KHM clustering techniques with outlier-based initialization, by Henryk Palus, Mariusz Frackiewicz -- A study of a firefly meta-heuristics for multithreshold image segmentation, by H. Erdmann, G. Wachs-Lopes, C. Gallão, M. P. Ribeiro, P. S. Rodrigues -- Visual-inertial 2D feature tracking based on an affine photometric model, by Dominik Aufderheide, Gerard Edwards and Werner Krybus -- Inferring heading direction from silhouettes, by Amina Bensebaa, Slimane Larabi, Neil M. Robertson -- A fast and accurate algorithm for detecting and tracking moving hand gestures, by Walter C. S. S. Simões, Ricardo da S. Barboza, Vicente F. de Lucena Jr., Rafael D. Lins -- Hand gesture recognition system based in computer vision and machine learning, by Paulo Trigueiros, Fernando Ribeiro, Luís Paulo Reis -- 3D Scanning using RGBD imaging devices: a survey, by Eduardo E. Hitomi, Jorge V. L. Silva, Guilherme C. S. Ruppert. |
| Record Nr. | UNINA-9910299832803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fourth International Conference on Image Processing and Capsule Networks : Icipcn 2023
| Fourth International Conference on Image Processing and Capsule Networks : Icipcn 2023 |
| Autore | Shakya Subarna |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (741 pages) |
| Altri autori (Persone) |
TavaresJoão Manuel R. S
Fernández-CaballeroAntonio PapakostasGeorge |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9970-93-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Modern Challenges and Limitations in Medical Science Using Capsule Networks: A Comprehensive Review -- 1 Introduction -- 2 What Are the Modern Challenges in Medical Science? -- 3 How Medical Science Problems Can Be Solved Using Capsule Networks? -- 4 How to Analyze a Large Amount of Data in Drug Development Using Capsule Networks? -- 5 Research Questions -- 6 Related Work -- 7 Existing Work Limitations -- 8 Methodology -- 8.1 CapsNet -- 8.2 ConvCaps -- 9 Research Motivation -- 10 Problem Statement -- 11 Discussion -- 12 Existing Research Limitations -- 13 Identified Research Gaps -- 14 Limitations of the Capsule Networks for Medical Science Research -- 15 Current Applications -- 15.1 Micro-Robot Adaptation -- 15.2 Network Biology -- 16 Open Challenges and Future Redirections -- 16.1 Transfer Learning -- 17 Conclusion and Future Work -- References -- Studies on Movie Soundtracks Over the Last Five Years -- 1 Introduction -- 2 Methodology -- 3 Results -- 3.1 Soundtrack Influence on the Audiovisual Narrative of Movies -- 3.2 The Creative Process of a Movie Soundtrack -- 3.3 Music and Political Communication -- 3.4 Soundtrack as a Study Instrument -- 4 Discussion and Conclusions -- References -- Blind Source Separation of EEG Signals Using Wavelet and EMD Decomposition -- 1 Introduction -- 2 Material and Methods -- 2.1 Datasets -- 2.2 Empirical Mode Decomposition -- 2.3 Wavelet Transform -- 2.4 Blind Source Separation -- 2.5 Proposed Method -- 3 Results -- 4 Conclusion -- References -- Image Extraction Approaches for Density Count Measurement in Obstruction Renography Using Radiotracer 99mTc-DTPA -- 1 Introduction -- 1.1 Characteristics of DTPA in Renal Imaging -- 2 Materials and Methods -- 3 Results -- 3.1 Mean and Standard Deviation of Transforms -- 3.2 Radioactive Counts Measurement.
3.3 Statistical Correlation Findings -- 4 Discussion -- 4.1 Statistical Analysis for Clinical Validation -- 5 Conclusion -- References -- Deep Short-Term Long Memory Technique for Respiratory Lung Disease Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Problem of Statement -- 3 Proposed Methodology -- 3.1 Dataset Collection -- 3.2 Image Pre-processing -- 3.3 Local Binary Gabor Filter -- 3.4 Deep Short-Term Long Memory (DSTLM) -- 4 Analyses and Discussions of Experimental Results -- 4.1 Evaluation Matrix -- 5 Conclusion -- References -- Utilizing Satellite Imagery for Flood Monitoring in Urban Regions -- 1 Introduction -- 2 Related Work -- 3 Major Techniques Used -- 3.1 Ordered Weighted Averaging -- 3.2 Spectral Indices -- 3.3 Region Growing -- 3.4 Double Scattering -- 3.5 Bootstrap Method -- 3.6 Fuzzy Logic-Based Post Classification -- 3.7 Probabilistic Flood Mapping -- 3.8 Normalized Difference Vegetation Index -- 3.9 Modified Normalized Difference Water Index -- 3.10 Normalized Difference Water Index (NDWI) -- 3.11 CNN (Convolutional Neural Network) -- 4 Literature Survey -- 5 Observation on Literature Survey -- 6 Proposed Architecture -- 7 Methodology -- 7.1 Training -- 7.2 Testing -- 8 Conclusion and Future Scope -- References -- Optimizing Permutations in Biclustering Algorithms -- 1 Introduction -- 1.1 Literature Survey -- 1.2 Aim of the Study -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Device Specifications and Software -- 2.3 Structural Magnetic Resonance Imaging Data -- 2.4 Modified N-BiC Algorithm -- 2.5 Evaluation Measures -- 3 Results and Discussion -- 3.1 Simulated Dataset -- 3.2 PPMI Dataset -- 3.3 Performance of Modified N-BiC on PPMI Dataset -- 4 Research Limitations/Implications -- 5 Originality and Value -- 6 Conclusion and Future Research Work -- References. Extracting Graphs from Plant Leaf Venations Using Image Processing -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Image Acquisition -- 3.2 Preprocessing -- 3.3 Ground Truth (GT) Tracing -- 3.4 Vein Extraction and Graph Conversion -- 4 Results -- 4.1 Performance Analysis -- 4.2 Graph Metrics Results -- 5 Conclusion and Recommendation -- References -- Multispectral Fusion of Multisensor Image Data Using PCNN for Performance Evaluation in Sensor Networks -- 1 Introduction -- 2 Related Work -- 3 Research Methodology -- 3.1 Image Preprocessing -- 3.2 Image Enhancement -- 3.3 Image Fusion -- 3.4 Image Quality Enhancement -- 3.5 Image Reverse-Fusion Process -- 4 Results and Discussion -- 5 Conclusion -- References -- U-Net-Based Segmentation of Coronary Arteries in Invasive Coronary Angiography -- 1 Introduction -- 2 Related Work -- 2.1 Medical Imaging Works for Coronary Arteries -- 2.2 Image Segmentation with U-Net -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Method -- 4 Results and Discussion -- 5 Conclusion -- References -- Change Detection for Multispectral Remote Sensing Images Using Deep Learning -- 1 Introduction -- 1.1 Applications of Remote Sensing -- 2 Proposed Work -- 2.1 Datasets -- 2.2 Architecture -- 2.3 Proposed Work -- 3 Result Analysis -- 4 Conclusion -- References -- Explainable AI for Black Sigatoka Detection -- 1 Introduction -- 1.1 Backgroung and Motivation -- 1.2 Research Contribution -- 2 Research Problem Definition -- 3 Research Approach and Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Model Implementation -- 4 Major Research Findings -- 4.1 Model Evaluation -- 4.2 XAI Results -- 5 Practical Implications -- 6 Research Limitations -- 7 Originality/Value -- 8 Conclusion and Future Research Work -- 8.1 Conclusion -- 8.2 Future Works -- References. Modified U-Net and CRF for Image Segmentation of Crop Images -- 1 Introduction -- 2 Related Work -- 2.1 U-Net -- 2.2 Residual Block (ResBlock) -- 2.3 Residual Path -- 3 Proposed Architecture -- 3.1 Selection of Algorithm -- 3.2 Conditional Random Field (CRF) -- 4 Results and Discussions -- 4.1 Qualitative Evaluation -- 4.2 Quantitative Evaluation -- 4.3 Retention of Spatial Information -- 5 Conclusion -- References -- Securing Data in the Cloud: The Application of Fuzzy Identity Biometric Encryption for Enhanced Privacy and Authentication -- 1 Introductıon -- 2 Related Work -- 3 System Model -- 4 Basic Fuzzy Selective-ID -- 5 Conclusion -- References -- Quantum Convolutional Neural Network for Agricultural Mechanization and Plant Disease Detection -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Feature Extraction -- 3.3 Segmentation -- 3.4 Classification -- 4 Results and Discussion -- 4.1 State of the Art -- 5 Conclusion -- References -- Innovative Method for Alzheimer's Disease Detection Using Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Dataset Description -- 3.2 Dataset Preprocessing -- 3.3 Model Architecture and Design -- 4 Result Analysis and Discussion -- 4.1 Experimental Setup -- 4.2 Result Analysis and Performance Evaluation -- 5 Conclusion -- References -- Segmentation of White Matter Lesions in MRI Images Using Optimization-Based Deep Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Research Problem -- 3 Methodology -- 3.1 Harris hawk's Optimization (HHO) -- 3.2 Proposed HHO-DCNN for WML Segmentation -- 3.3 Architecture of CNN -- 4 Results and Discussion -- 4.1 Dataset -- 4.2 Quantitative Evaluation -- 5 Conclusion -- References -- A New Multi-level Hazy Image and Video Dataset for Benchmark of Dehazing Methods -- 1 Introduction. 2 Related Work -- 2.1 Traditional Methods -- 2.2 Deep Learning-Based Methods -- 3 Datasets -- 4 IMF Dataset (IMFD) -- 5 Experiment -- 6 Results and Discussion -- 7 Conclusion -- References -- Creative AI Using DeepDream -- 1 Introduction -- 1.1 Convolution Neural Network -- 1.2 What is DeepDream? -- 1.3 Motivation -- 2 Literature Survey -- 3 Methodology -- 3.1 Tools Used -- 3.2 DeepDream Implementation Using Tensorflow -- 3.3 Proposed System -- 4 Result -- 5 Conclusion -- References -- Tuberculosis Bacteria Detection Using Deep Learning Techniques -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Dataset Description -- 3.2 Dataset Pre-processing -- 3.3 System Architecture and Implementation -- 4 Results and Discussion -- 4.1 Experimental Results -- 4.2 Performance Evaluation -- 5 Conclusion -- References -- An Enhanced Real-Time System for Wrong-Way and Over Speed Violation Detection Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Project Methodology -- 3.1 YOLOv3 Algorithm -- 3.2 Working of YOLOv3 -- 3.3 YOLOv3 Network Architecture -- 3.4 Kalman Filter -- 3.5 Wrong-Way Traffic Violation Detection Algorithm -- 3.6 Over Speed Violation Detection Algorithm -- 4 Experimental Results -- 4.1 Vehicle Detection and Tracking -- 4.2 Wrong-Way Violation Detection -- 4.3 Over Speed Violation Detection -- 5 Conclusion -- References -- U-Net-Based Denoising Autoencoder Network for De-Speckling in Fetal Ultrasound Images -- 1 Introduction -- 2 Existing Methods -- 3 Proposed Method -- 3.1 U-Net-Based Denoising Network -- 3.2 U-shaped Dilated Convolution Denoising Autoencoder Network -- 3.3 U-Net-Based Denoising Autoencoder Network -- 4 Result and Discussion -- 4.1 Dataset -- 4.2 Adding Speckle Noise -- 4.3 Effect of Dropout -- 4.4 Effects of Accuracy and Loss -- 4.5 Effects on Different Noise Levels -- 5 Conclusion. References. |
| Record Nr. | UNINA-9910765485303321 |
Shakya Subarna
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Image Processing and Capsule Networks : ICIPCN 2020 ; Bangkok, Thailand, 20-21 May, 2021 / / edited by Joy Long-Zong Chen, João Manuel R. S. Tavares, Subarna Shakya, Abdullah M. Iliyasu
| Image Processing and Capsule Networks : ICIPCN 2020 ; Bangkok, Thailand, 20-21 May, 2021 / / edited by Joy Long-Zong Chen, João Manuel R. S. Tavares, Subarna Shakya, Abdullah M. Iliyasu |
| Edizione | [1st edition.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (827 pages) |
| Disciplina | 621.367 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Optical data processing Computational Intelligence Image Processing and Computer Vision |
| ISBN | 3-030-51859-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Efficient GAN-Based Remote Sensing Image Change Detection under Noise Conditions -- Recognition of Handwritten Digits by Image Processing Methods and Classification Models -- Convolutional Neural Network with Multi-Column Characteristics Extraction for Image Classification -- Face Detection based on Image Stitching for Class Attendance Checking -- Image Processing Technique for Effective Analysis of the Cytotoxic Activity in Human Breast Cancer Cell Lines -- Development of an algorithm for Vertebrae Identification using Speeded Up Robust Features -- Comparison of Machine Learning Algorithms for Smart License Number Plate Detection System. . |
| Record Nr. | UNINA-9910483106003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovations in Computational Intelligence and Computer Vision : Proceedings of ICICV 2022
| Innovations in Computational Intelligence and Computer Vision : Proceedings of ICICV 2022 |
| Autore | Roy Satyabrata |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (764 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
SinwarDeepak
DeyNilanjan PerumalThinagaran TavaresJoão Manuel R. S |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 9789819926022 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organizing Committee -- Preface -- Contents -- Editors and Contributors -- Empirical Study of Multi-class Weed Classification Using Deep Learning Network Through Transfer Learning -- 1 Introduction -- 2 Related Work -- 3 Data Preparation and Methodology -- 3.1 Dataset Used -- 3.2 Preprocessing -- 4 Materials and Methods -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Transfer Learning -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- Secured Face Recognition System Based on Blockchain with Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Pixel to Blocks -- 3.2 Face Recognition -- 4 Experiments -- 5 Conclusion -- References -- Classifying Paintings/Artworks Using Deep Learning Techniques -- 1 Introduction -- 2 Literature Review -- 2.1 Motivation -- 3 Methodologies -- 3.1 Dataset -- 3.2 Model Building -- 3.3 Model Testing -- 4 Results -- 5 Conclusion -- References -- Hybrid Deep Face Music Recommendation Using Emotions -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Methodology -- 3.3 Algorithm -- 4 Experimental Results and Analysis -- 4.1 Results -- 4.2 Conclusion -- 4.3 Future Scope -- References -- Integrating ResNet18 and YOLOv4 for Pedestrian Detection -- 1 Introductıon -- 2 Related Works -- 3 Proposed System -- 3.1 Input -- 3.2 Backbone (ResNet18) -- 3.3 Neck -- 4 Experiments and Discussion -- 5 Conclusions -- References -- Image Restoration from Weather Degraded Images Using Markov Random Field -- 1 Introduction -- 2 Literature Survey -- 3 Background -- 4 Proposed Methodology -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- A Feature Representation Technique for Angular Margin Loss -- 1 Introduction -- 2 Background -- 3 Proposed Technique -- 3.1 Feature Representation as a Signal.
3.2 Feature Similarity Functions -- 4 Experiment and Result -- 4.1 Experiment Setup -- 4.2 Result -- 5 Conclusion -- References -- LeafViT: Vision Transformers-Based Leaf Disease Detection -- 1 Introduction -- 2 Related Work -- 2.1 Shape and Texture-Based Leaf Disease Identification -- 2.2 Deep Learning-Based Leaf Disease Detection -- 2.3 Fine-Grained Visual Categorization (FGVC) -- 2.4 Transformers Models in Computer Vision -- 3 Proposed Method -- 3.1 Model Architecture -- 3.2 Loss Function -- 3.3 Class Imbalance -- 4 Implementation -- 4.1 Dataset -- 4.2 Hyperparameters -- 5 Experiments -- 5.1 Ablation Studies -- 5.2 Evaluation Metrics -- 6 Conclusion -- References -- Conversion of Satellite Images to Google Maps Using GAN -- 1 Introduction -- 2 Related Work -- 2.1 Problem Definition -- 2.2 Dataset -- 3 Methodology -- 3.1 U-Net -- 3.2 CycleGAN U-Net -- 3.3 W-Net -- 3.4 CycleGAN W-Net -- 3.5 Experiments -- 3.6 Metrics -- 4 Analysis -- 4.1 Two Sample Z-Test and Objectives of Results -- 4.2 Road, Water, and Forest Dataset -- 5 Results -- 6 Conclusion + Future Scope -- References -- Investigation of Widely Used Implicit and Explicit Communication in Crossing-Decision of Pedestrian in UAE -- 1 Introduction -- 2 Literature Review -- 3 Method -- 4 Result -- 4.1 At Unsignalized Pedestrian Crossing -- 4.2 Signalized Crossing or Pelican Crossing -- 4.3 Mid-road Crossing -- 4.4 Unsignalized T-Junctions Crossing -- 4.5 Residential Area Crossing -- 5 Discussion -- 6 Conclusion -- References -- Attention Deficit Hyperactivity Disorder Prediction Using Resting-State Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Gathering and Cleaning -- 3.2 Data Preprocessing and Feature Extraction -- 3.3 Model Selection and Planning -- 4 Results -- 4.1 Testing Hypotheses -- 4.2 ROC Curve -- 5 Conclusion -- References. Neuroinformatics Deep Learning Synthesizer Based on Impulse Control Disorder Using LSTM Cells -- 1 Introduction -- 2 Using Deep Learning Capabilities for Diagnosis of the Disease -- 3 Methodology and System Description -- 4 Data Preparation and Results-Based Orientation -- 5 Data-Set Description -- 6 Baseline Models -- 7 Results -- 8 Conclusion -- References -- Wasserstein GANs-Enabled Spectral Normalization on Credit Card Fraud Detection -- 1 Introduction -- 2 Background -- 3 Proposed Method -- 3.1 Undersampling -- 3.2 Oversampling -- 3.3 Generative Adversarial Nets/Conditional -- 3.4 Wasserstein GANs -- 3.5 Batch Normalization -- 3.6 Spectral Normalization -- 3.7 L1 Loss -- 3.8 Metrics -- 4 Experiments -- 4.1 Data -- 4.2 Classification Model -- 4.3 Model Parameters -- 5 Observation -- 6 Conclusion -- References -- Classification of Bipolar Disorder Using Deep Learning Models on fMRI Data -- 1 Introduction -- 2 Methodology -- 2.1 Preprocessing (FuNP) -- 2.2 Feature Extraction (ICA) -- 2.3 Feature Selection (T-Score Approach) -- 2.4 Model Training (ANN and LSTM) -- 3 Results -- 4 Conclusion -- References -- Predicting Schizophrenia from fMRI Using Deep Learning -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing and Analysis -- 2.2 Model Training -- 3 Results -- 4 Conclusions -- References -- Patrolling Robot with Facial Detection -- 1 Introduction -- 2 Literature Review -- 3 Related Work -- 3.1 Haar Cascade Classifier -- 3.2 MediaPipe by Google -- 4 Methodology -- 4.1 Hardware -- 4.2 Software -- 5 Results and Discussion -- 6 Conclusion -- References -- A Graph-Based Relook Beyond Metadata for Music Recommendation -- 1 Introduction -- 2 Related Work -- 2.1 Representation Learning for Users -- 2.2 Representation Learning for Music -- 2.3 Recommendation Models -- 3 Dataset -- 4 Recommendation Models -- 5 Proposed Methodology. 6 Results and Analysis -- 6.1 Analysis of Results -- 7 Conclusion and Future Work -- References -- An Interpretability Assisted Empirical Study of Affective Traits in Visual Content of Disinformation -- 1 Introduction -- 2 Related Work -- 2.1 Visual Emotion in Disinformation Campaigns -- 2.2 Detection of Visual Emotion in Contexts -- 2.3 Interpretability Techniques for Visual Emotion Detection Models -- 3 Methodology -- 4 Dataset -- 5 Results and Discussions -- 5.1 RQ1: Do Visual Emotions Enhance the Message in a Disinformation Campaign? -- 5.2 RQ2: Do the Predominant Emotions Differ in Different Types of Disinformation Campaigns? -- 5.3 RQ3: To What Extent, the Emotional Theme Is Consistent or Event Specific Across Events of a Specific Disinformation Type? -- 6 Summary and Future Work -- References -- Multi-scale Fusion-Based Object Detection Network for Advance Driver Assistance Systems -- 1 Introduction -- 2 Related Work -- 2.1 Stage-1 Detectors -- 2.2 Stage 2-Detectors -- 3 Proposed Work-Multi-scale Fusion-Based Detection Architecture -- 3.1 Multi-scale Fusion-Based Object Detection Architecture -- 3.2 Dimensional Scaling -- 3.3 Multi-scaling -- 4 BiFPN -- 4.1 Inter-scale Links -- 4.2 Feature Fusion with Weights -- 5 System for Box/Class Estimation -- 6 Hyperparameters -- 7 Salient Features of Proposed Methodology -- 8 Experimental Results -- 9 Conclusion -- References -- Vectorization of Python Programs Using Recursive LSTM Autoencoders -- 1 Introduction -- 2 Literature Survey -- 2.1 Existing Systems -- 2.2 Background -- 3 Autoencoder Architecture -- 3.1 Encoder Architecture -- 3.2 Decoder Architecture -- 4 Dataset -- 5 Methodology -- 6 Results and Discussion -- 7 Conclusion -- References -- Phenology Detection for Croplands Using Sentinel-2 and Computer Vision Techniques -- 1 Introduction -- 2 Implementation and Experiments. 2.1 Autodetection of Farms from Geosatellite Images Using Computer Vision and Deep Learning -- 2.2 Fetching Image Data of Farms from Sentinel-2 and Processing It to Obtain the Time-Series NDVI Values -- 2.3 Denoising Raw NDVI Data -- 2.4 Interpolation of Mean NDVI Data -- 3 The Phenology Algorithm -- 3.1 The Start of Season (SOS) -- 3.2 The Peak of Season (POS) -- 3.3 The End of Season (EOS) -- 3.4 The Valley of Season (VOS) -- 3.5 Length of Season (LOS) -- 3.6 The Computation of Phenology Phases -- 4 Results and Discussion -- 5 Conclusion -- References -- Deep Learning-Based Safety Assurance of Construction Workers: Real-Time Safety Kit Detection -- 1 Introduction -- 2 Related Work -- 2.1 Based on Sensors -- 2.2 Based on Vision -- 3 Methodology -- 3.1 YOLO Detector -- 3.2 YOLO v5 and YOLO v6 -- 4 Dataset Preparation-HVM Dataset -- 4.1 Data Augmentation and Preprocessing Techniques -- 5 Validation Metrics -- 6 Results and Discussion -- 7 Conclusion -- References -- Automatic Detection and Classification of Melanoma Using the Combination of CNN and SVM -- 1 Introduction -- 2 Materials and Method -- 2.1 Images Used -- 2.2 Pre-processing -- 2.3 Feature Extraction -- 2.4 Classification -- 3 Results and Discussion -- 4 Conclusions -- References -- CyINSAT: Cyclone Dataset from Indian National Satellite for Forecasting -- 1 Introduction -- 2 Cyclone Dataset from Indian National Satellite -- 2.1 Properties -- 2.2 Construction -- 2.3 Related Datasets -- 3 Applications -- 3.1 Forecasting Parameters -- 3.2 Cyclone Track Forecasting -- 4 Conclusion -- References -- Classification of Ocular Diseases: A Vision Transformer-Based Approach -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data -- 3.2 Vision Transformer -- 3.3 Training Phase -- 3.4 Optimizer -- 3.5 Regularization -- 4 Results -- 4.1 Learning Curves -- 4.2 Performance Metrics. 5 Conclusion. |
| Record Nr. | UNINA-9910751394403321 |
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Roy Satyabrata
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| Singapore : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Communication, Computing and Electronics Systems [[electronic resource] ] : Proceedings of ICCCES 2019 / / edited by V. Bindhu, Joy Chen, João Manuel R. S. Tavares
| International Conference on Communication, Computing and Electronics Systems [[electronic resource] ] : Proceedings of ICCCES 2019 / / edited by V. Bindhu, Joy Chen, João Manuel R. S. Tavares |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXII, 757 p. 394 illus., 281 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electrical engineering
Robotics Automation Electronics Microelectronics Machine learning Communications Engineering, Networks Robotics and Automation Electronics and Microelectronics, Instrumentation Machine Learning |
| ISBN | 981-15-2612-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Performance Comparison of Machine Learning Based Classification of Skin Diseases from Skin Lesion Images -- FastICA algorithm applied to Scattered Electromagnetic Signals -- Deep Convolution Neural Network Model for Indian Sign Language Classification -- Opinion Mining Of Bengali Review Written With English Character Using Machine Learning Approaches -- Big Data Feature Selection to achieve Anonymization -- Interoperability In Smart Living Network – A Survey -- Sentiment Analysis of Bengali Reviews for Data and Knowledge Engineering : A Bengali Language Processing Approach -- Imbalanced Dataset Analysis With Neural Network Model -- Review Of Parallel Processing Methods For Big Image Data Applications -- Exploring the Potential of Virtual Reality in Fire Training Research Using A’WOT Hybrid Method -- Two-Way Sequence Modeling for Context-Aware Recommender Systems with Multiple Interactive Bidirectional Gated Recurrent Unit -- Seven Stage Audio Classifier using Artificial Neural Network(Stage Audio Classifier using Artificial Neural Network) -- Predicting Short-Term Electricity Demand through Artificial Neural Network -- Detection of Tomatoes Using Artificial Intelligence Implementing Haarcascade Technique -- Passive Safety System for 2- & 4-Wheeled Vehicles -- Measuring the Financial Performance of MSMEs through Artificial Neural Networks -- Automation of Admission Enquiry Process through Chatbot – A Feedback Enabled Learning System -- Hardware Assisted Qr Code Generation Using Fault Tolerant Trng -- Classification of Digitized Documents Applying Neural Networks -- Plant Leaf Diseases Recognition using Convolutional Neural Network and Transfer Learning -- A Shape-Based Character Segmentation using Artificial Neural Network for Mizo Script -- Feasibility Study for a Mini-hydropower plant in Dreznica, Bosnia and Herzegovina -- Feature Selection using Neighborhood Component Analysis with Support Vector Machine for Classification of Breast Mammograms -- Performance Analysis of Implicit Pulsed and Low Glitch Power Efficient Double Edge Triggered Flip-Flops using C-Elements -- Cost-Effective Waste Collection System based on the Internet of Wasted Things (IoWT) -- Leveraging Artificial Intellgience for Effective Recruitment and Selection Processes -- Trust Computing Model Based on Meta-Heuristic Approach for Collaborative Cloud Environment -- Integration Of Generation Y Academician Attributions With Transformational Leadership Style: Association Rules Technique On Minimizing Turnover Intention -- An Improved Self-Tuning control mechanism for BLDC motor using Grey Wolf Optimization Algorithm -- A Wearable Wrist Based Pulse Oximetry For Monitoring Cardiac Activities – A Pilot Study -- Data Sciences and Teaching Methods – Learning -- Data Security in Cloud Computing Using Three Factor Authentication -- An Effective Machine Learning Based File Malware Detection – A survey -- Data Mining and Neural Networks to Determine the Financial Market Prediction -- Research on the cloud archiving process and its technical framework of government website pages -- Determination of Contents Based on Learning Styles through Artificial Intelligence -- Evaluation Computing of Cultural Tourism Resources Potential Based on SVM Intelligent Data Analysis and IoT -- Data Mining and Social Network Analysis on Twitter -- Numerical Modeling and Simulation of High Efficieny thin Cu(In,Ga)Se Photovoltaic by WxAMPS -- Design of a Two stage Folded Cascode amplifier using SCL 180nm CMOS Technology -- Electromagnetic simulation of Optical Devices -- Review on Radio Frequency Micro Electro Mechanical Systems (RF-MEMS) switch -- Design of Generalized Rational Sampling Rate Converter using Multiple Constant Multiplication -- Comparison of Decoupled and Coupled PWM Techniques for Open End Induction Motor Drives -- Computer Tools for Energy Systems -- Three Interacting Tank Controlled with Decentralized PI Controller Tuned Using Grey Wolf Optimization -- An IEC 61131-3 based PLC Timers Module Implemented on FPGA Platform -- Impact of Temperature on Circuit Metrics of Various Full Adders -- Novel Approach for Power Analysis in Microcontrollers -- Evolving Reversible Fault-Tolerant Adder Architectures and their Power Estimation -- A Wide Band, Low Power Grounded Active Inductor with High-Q Factor for RF Applications -- Design and FPGA Realization of Digital Lightweight Numerically Controlled Quadrature Wave Oscillator -- Efficient Multimedia Data Transmission Model for Future Generation Wireless Network -- Smart Fleet Monitoring System in Indian Armed Forces using Internet of Things (IoT) -- Greenhouse Monitoring System based on Internet of Things -- Building Personal Marionette (Ritchie) using Internet of Things for Smarter Living in Homes -- The Internet Of Things (Iot) Routing Security-A Study -- Efficient Hybrid Method for Intrinsic Security Over Wireless Sensor Network -- Cloud-based Healthcare Portal in Virtual Private Cloud -- Interference Aware Cluster Formation in Cognitive Radio Sensor Networks -- Efficient utilization of resources of Virtual Machines through monitoring the Cloud Datacenter -- A study of energy management techniques for smart city applications on educational campus -- Low Noise Amplifier for Wireless Local Area Networks Applications -- Indoor Mobile Robot Path Planning Using QR Code -- A Novel Privacy Preservation Scheme for Internet of Things Using Blockchain Strategy -- Logically Locked I2C Protocol for Improved Security -- Broadband Circularly Polarized Microstrip Patch Antenna With Fractal Defected Ground Structure -- A Novel Technique for Vehicle Theft Detection System using MQTT on IoT -- Secure Wireless Internet of Things Communication using Virtual Private Networks -- A Contingent Exploration on Big Data Tools. |
| Record Nr. | UNINA-9910383824603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering / / edited by João Manuel R. S. Tavares, Paulo Rui Fernandes
| New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering / / edited by João Manuel R. S. Tavares, Paulo Rui Fernandes |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (168 pages) |
| Disciplina |
612.76
612.01441 |
| Collana | Lecture Notes in Computational Vision and Biomechanics |
| Soggetto topico |
Biomedical engineering
Optical data processing Computer simulation Radiology Computer mathematics Biomedical Engineering/Biotechnology Biomedical Engineering and Bioengineering Computer Imaging, Vision, Pattern Recognition and Graphics Simulation and Modeling Imaging / Radiology Computational Science and Engineering |
| ISBN | 3-030-23073-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. The impact of patches on blood flow disorders in carotid artery -- Chapter 2. Numerical study of carotid bifurcation angle effect on blood flow disorders -- Chapter 3. Evaluating the effect of tissue anisotropy on brain tumor growth using a mechanically-coupled reaction-diffusion model -- Chapter 4. Prediction of stress and strain patterns from load rearrangement in human osteoarthritic femur head: finite element study with the integration of muscular forces and friction contact -- Chapter 5. Numerical simulation of the deployment process of a new stent produced by ultrasonic-microcasting: the role of the balloon’s constitutive modeling -- Chapter 6. New techniques for combined FEM-multibody anatomical simulation -- Chapter 7. Computational cell-based modelling and visualization of cancer development and progression -- Chapter 8. Estimation of 6 degree of freedom accelerations from head impact telemetry system outputs for computational modeling -- Chapter 9. Physiological Cybernetics: methods and applications -- Chapter 10. New computational solution to compute the uptake index from 99mTc-MDP bone scintigraphy images. . |
| Record Nr. | UNINA-9910349451803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of Sixth International Conference on Inventive Material Science Applications [[electronic resource] ] : ICIMA 2023 / / edited by V. Bindhu, João Manuel R. S. Tavares, Stefan Talu
| Proceedings of Sixth International Conference on Inventive Material Science Applications [[electronic resource] ] : ICIMA 2023 / / edited by V. Bindhu, João Manuel R. S. Tavares, Stefan Talu |
| Autore | Bindhu V |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (161 pages) |
| Disciplina | 530.41 |
| Altri autori (Persone) |
TavaresJoão Manuel R. S
TaluStefan |
| Collana | Advances in Sustainability Science and Technology |
| Soggetto topico |
Solid state physics
Nanoelectromechanical systems Optoelectronic devices Materials Electronic Devices Nanoscale Devices Optoelectronic Devices Materials for Devices |
| ISBN | 981-9941-89-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Experimental Investigation of Tribological Characterization of Bio-Nano-Lubricants -- Effect of Eu3+ on the luminescence and photocatalytic properties of ZnS nanoparticles -- Buckling of stiffened carbon nanotube-reinforced composite (CNTRC) plates -- Experimental Investigation of Machining Parameters of Monel 400 in Powder Mixed EDM Process -- Synthesis of Estolides from Coconut, Sunflower and Karanja Oils -- Innovative methods for increasing the tool life of cutting tools in complex surface treatment -- Nano severe Plastic deformation process on Aluminum Alloy and composites an overview -- Review of Mechanized Garbage-Picking Machines: Challenges and Advancements in Sweeping and Handling of Trash -- Study of Leakage Currents in FinFet SRAM Cells -- Advanced Characterization of Estolides from Coconut, Sunflower and Karanja Oils -- Manufacturing of AlSi10Cu2 Foam using Centrifugal Casting Route and LiAlH4 Foaming Agent -- Synthesis and characterization of nano CuO complexed HPMC:PVA polymer blend electrolytes -- Study on Effect of Pista Shell as Filler material on Mechanical Performance of Banana fiber Reinforced Polymer Composite. |
| Record Nr. | UNINA-9910736019903321 |
|
Bindhu V
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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 |
|
Chen Joy Iong-zong
|
||
| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Shape Analysis in Medical Image Analysis / / edited by Shuo Li, João Manuel R. S. Tavares
| Shape Analysis in Medical Image Analysis / / edited by Shuo Li, João Manuel R. S. Tavares |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (441 p.) |
| Disciplina | 616.07540285 |
| Collana | Lecture Notes in Computational Vision and Biomechanics |
| Soggetto topico |
Biomedical engineering
Optical data processing Radiology Biomedical Engineering and Bioengineering Image Processing and Computer Vision Imaging / Radiology |
| ISBN | 3-319-03813-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Part I: Methods and Models -- 1. Shape Analysis for Brain Structures: A Review, by Bernard Ng, Matthew Toews, Stanley Durrleman, Yonggang Shi -- 2. Shape Analysis in Molecular Imaging, by Fei Gao, Pengcheng Shi -- 3. Variational Shape Representation for Modeling, Elastic Registration and Segmentation, by Amal A. Farag, Ahmed Shalaby, Aly A. Farag -- 4. Image Computing Based on Bayesian Models, by Zhong Xue, Stephen Wong -- 5. Shape-Constrained Deformable Models and Applications in Medical Imaging, by Jürgen Weese, Irina Waechter-Stehle, Lyubomir Zagorchev, Jochen Peters -- Part II: Application Cases -- 6. Accurate Pathology Segmentation in FLAIR MRI for Robust Shape Characterization, by April Khademi, Alan R. Moody, Anastasios Venetsanopoulos -- 7. Groupwise Registration of Brain Images, by Zhenyu Tang, Yong Fan -- 8. Modeling of Lung Nodules from LDCT of the Human Chest: Algorithms and Evaluation for CAD Systems, by Amal A. Farag, James Graham, Salwa Elshazly, Mohamed Al-Mogy, Aly Farag -- 9. Analyzing the Shape and Motion of the Lung and Heart in Dynamic Pulmonary Imaging, by Jianming Liang, Tim McInerney, Demetri Terzopoulos -- 10. Epithelial Cell Segmentation via Shape Ranking, by Alberto Santamaria-Pang, Yuchi Huang, Jens Rittscher -- 11. Computational Modeling of the Spine, by T. Klinder, S. Kadoury, C. Lorenz -- 12. Shape Constraints for the Left Ventricle Segmentation from Cardiac Cine MRI Based on Snake Models, by Yuanquan Wang, Yuwei Wu, Yunde Jia -- 13. An Optical Flow Approach to Assessment of Ventricular Shape Change Based on Echocardiography, by Amir A. Amini, Nirmanmoh Bhatia, Rita Longaker, Motaz Alshaher, Marcus Stoddard and Vahid Tavakoli. |
| Record Nr. | UNINA-9910299486103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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