LEADER 10886nam 22004693 450 001 9910765485303321 005 20231121080239.0 010 $a981-9970-93-8 035 $a(MiAaPQ)EBC30954307 035 $a(Au-PeEL)EBL30954307 035 $a(EXLCZ)9928887503300041 100 $a20231121d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFourth International Conference on Image Processing and Capsule Networks $eIcipcn 2023 205 $a1st ed. 210 1$aSingapore :$cSpringer,$d2024. 210 4$d©2023. 215 $a1 online resource (741 pages) 225 1 $aLecture Notes in Networks and Systems Series ;$vv.798 311 08$aPrint version: Shakya, Subarna Fourth International Conference on Image Processing and Capsule Networks Singapore : Springer,c2024 9789819970926 327 $aIntro -- 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. 327 $a3.3 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. 327 $aExtracting 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. 327 $aModified 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 Introduct?on -- 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. 327 $a2 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. 327 $aReferences. 410 0$aLecture Notes in Networks and Systems Series 700 $aShakya$b Subarna$01080686 701 $aTavares$b João Manuel R. S$0872315 701 $aFernández-Caballero$b Antonio$01448915 701 $aPapakostas$b George$01362797 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910765485303321 996 $aFourth International Conference on Image Processing and Capsule Networks$93644922 997 $aUNINA