Kooperativer Bibliotheksverbund

UID:

Format: XVI, 799 p. 383 illus., 289 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789819908356

Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 166

Content: This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during January 11-12, 2023. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices to personalized, embedded, and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models, and advanced informatics that support the symbiosis of mobile computing and sustainable informatics.

Note: Measuring the technical efficiency of Thai rubber export using the spatial stochastic frontier model under the BCG concept -- Analysis of Digital data Consumption of video streaming platforms during COVID-19 -- A Prototype of Wireless Power Transmission System Based on Arduino -- Short review on blockchain technology for smart city security -- Efficient Analysis of Sequences of Security Problems in Access Control Systems -- Artificial Intelligence in Agriculture: Machine Learning based Early Detection of Insects and Diseases with Environment and Substance Monitoring us-ing IoT -- Design Concepts for Mobile Computing Direction Finding Systems -- A Hybrid Machine Learning Model for Urban Mid- and Long-term Electricity Load Forecasting -- Optimizing Long Short-Term Memory by Improved Teacher Learning Based Optimization for Ethereum Price Forecasting -- A Sophisticated review on Open Verifiable Health Care system in Cloud -- Fuzzy Metadata Augmentation for Multimodal Data Classification -- Development of information accuracy control system -- MODELLING AN EFFICIENT APPROACH TO ANALYZE CLONE PHISHING AND PREDICT CYBER-CRIMES -- The Application of Mobile Phones to Enable Traffic Flow Optimisation.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789819908349

Additional Edition: Printed edition: ISBN 9789819908363

Language: English

DOI: 10.1007/978-981-99-0835-6

URL: https://doi.org/10.1007/978-981-99-0835-6

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XXXI, 1132 p. 498 illus., 387 illus. in color)

Edition: 1st ed. 2023

ISBN: 9789819951666

Series Statement: Lecture Notes in Networks and Systems 757

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9951-65-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9951-67-3

Language: English

DOI: 10.1007/978-981-99-5166-6

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XXVI, 737 p. 369 illus., 317 illus. in color)

Edition: 1st ed. 2023

ISBN: 9789819970933

Series Statement: Lecture Notes in Networks and Systems 798

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9970-92-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9970-94-0

Language: English

DOI: 10.1007/978-981-99-7093-3

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XXXI, 1132 p. 498 illus., 387 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789819951666

Series Statement: Lecture Notes in Networks and Systems, 757

Content: This book gathers selected papers presented at the 7th International Conference on Inventive Communication and Computational Technologies conference (ICICCT 2023), held on May 22-23, 2023, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.

Note: Mitigating Vanishing Gradient in SGD Optimization in Neural Networks -- A Comparative Analysis of Heart Disease Diagnosis with Machine Learning Models -- The Impact of Information System and Technology of Courier Service During Pandemic -- Event Detection in Social Media Analysis: A Survey -- Artificial Intelligence Mechanism to Predict the Effect of Bone Mineral Density in Endocrine Diseases - A Review -- Evaluation of Deep Learning Models with Metrics using Soybean Crop and Broad-leaf Weed Classification -- Bluetooth Controlled Integrated Robotic Arm with Temperature and Moisture Sensor Modules -- Image Dehazing using Generic Model Agnostic Convolutional Neural Network -- A Novel Approach to Build Privacy and Trust in Vehicle Sales using DID -- Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning -- Oceanographic and Hydrological Study of the Moroccan Atlantic Coast: Focus on the Upwelling.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789819951659

Additional Edition: Printed edition: ISBN 9789819951673

Language: English

DOI: 10.1007/978-981-99-5166-6

URL: https://doi.org/10.1007/978-981-99-5166-6

UID:

Format: 1 online resource (1127 pages)

Edition: First edition.

ISBN: 981-9951-66-6

Series Statement: Lecture Notes in Networks and Systems Series ; Volume 757

Note: Intro -- Preface -- Contents -- Editors and Contributors -- Mitigating Vanishing Gradient in SGD Optimization in Neural Networks -- 1 Introduction -- 2 Gradient Descent Optimization -- 2.1 Scope Identified -- 3 Vanishing Gradient Problem -- 4 Activation Functions -- 4.1 Saturated Activation Function -- 4.2 Unsaturated Activation Function -- 5 Adaptive Optimization Methods -- 6 Other Solutions for VGP -- 6.1 Batch Normalization -- 6.2 Gradient Clipping -- 6.3 Weight Initialization -- 7 Conclusion -- References -- A Comparative Analysis of Heart Disease Diagnosis with Machine Learning Models -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Heart Disease Dataset -- 3.2 Machine Learning Models -- 3.3 Proposed Framework -- 4 Experimental Results -- 4.1 Settings -- 4.2 Evaluation Metrics -- 4.3 Results and Discussion -- 4.4 Examples of Heart Disease Diagnosis -- 5 Conclusions -- References -- The Impact of Information System and Technology of Courier Service During Pandemic -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Types of Research -- 3.2 Variable -- 3.3 Population -- 3.4 Sample -- 3.5 Types of Data -- 3.6 Data Collection Technique -- 3.7 Data Analysis Technique -- 4 Research Result and Discussion -- 5 Conclusion -- References -- Event Detection in Social Media Analysis: A Survey -- 1 Introduction -- 2 Literature Review -- 3 Localized Burst Detection -- 4 Global Burst Detection -- 5 Conclusion -- References -- Artificial Intelligence Mechanism to Predict the Effect of Bone Mineral Densıty in Endocrıne Diseases-A Review -- 1 Introduction -- 2 Bone Fracture -- 2.1 Faster R-CNN -- 2.2 Fivefold Cross-Validation -- 2.3 Deep Learning-Based Object Detection Model -- 3 Bone Metabolısm -- 3.1 Bone Tissue Growth -- 4 BMD and Osteoporosis -- 5 Bone Mass in Endocrine Disease -- 5.1 Diabetes Mellitus. , 5.2 Thyroid and Diabetes Mellitus -- 6 Summary and Conclusion -- References -- Evaluation of Deep Learning CNN Models with 24 Metrics Using Soybean Crop and Broad-Leaf Weed Classification -- 1 Introduction -- 2 Related Works -- 2.1 Weed Detection in the Maize Field -- 2.2 Estimating Weed Growth -- 2.3 Multi-classification of Weeds Using HSI Images -- 2.4 Weed Density Estimation -- 2.5 Detecting Cotton Weeds Using Yolo Object Detector -- 2.6 Weed Detection at an Early Stage -- 3 Materials and Methods -- 3.1 Module 1-Data Pre-processing -- 3.2 Module 2-Classification of Crop and Weed -- 3.3 Module 3-Performance Evaluation -- 4 Experimental Results -- 4.1 Results and Discussions -- 4.2 Graphs-Confusion Matrix and ROC Curve -- 5 Conclusion and Future Enhancements -- 5.1 Conclusion -- 5.2 Future Enhancements -- References -- Bluetooth Controlled Integrated Robotic Arm with Temperature and Moisture Sensor Modules -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Implementation Strategy -- 3.2 Block Diagram -- 4 Discussion -- 5 Results -- 6 Conclusion -- References -- Image Dehazing Using Generic Model Agnostic Convolutional Neural Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Results and Discussions -- 4.1 Running Time Comparison -- 4.2 PSNR Value Comparison -- 5 Conclusion -- References -- A Novel Approach to Build Privacy and Trust in Vehicle Sales Using DID -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Creation of User DID -- 3.2 Creation of Vehicle DID and ERC-721 Token -- 3.3 Credential Issuance by the Issuer -- 3.4 Vehicle Transfer to Buyer -- 3.5 Pollution Certificate Issuance -- 4 Results and Discussions -- 5 Conclusion -- References -- Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning -- 1 Introduction -- 2 Literature Survey. , 3 Proposed Method -- 3.1 Bipolar Data Preprocessing Using ISF2 -- 3.2 Scaled Features Chi-Square Testing (SFCsT) -- 3.3 Softmax Neural Activation Function -- 3.4 Classification Based on Adaptive Structure Convolutional Neuron Classifier (ASCNC) -- 4 Result and Discussion -- 5 Conclusion -- References -- Oceanographic and Hydrological Study of the Moroccan Atlantic Coast: Focus on the Upwelling -- 1 Introduction -- 2 Study Area -- 3 Methodology of Study -- 4 Results and Discussion -- 4.1 Hydrology and Variation of the Surface Water Masses' Temperature -- 4.2 Salinity of Atlantic Surface Water Bodies -- 4.3 Dissolved Oxygen -- 4.4 Description of the Upwelling Process on the Moroccan Atlantic Coast by Remote Sensing -- 5 Conclusion -- References -- The Acceptance of Artificial Intelligence in the Commercial Use of Crypto-Currency and Blockchain Systems -- 1 Introduction -- 2 Literature Review and Hypotheses Development -- 2.1 Blockchain and the Use of Crypto-currencies in Supply Chain Supply Chain Operations? -- 2.2 Links Between the Theory of Reasoned Action and the Theory of Planned Behavior -- 2.3 The Theory of Reasoned Action and Technological Acceptance -- 2.4 Technology Acceptance Model -- 2.5 Acceptance and Use of Technology: Unified Theory -- 2.6 Planned Behavior Theory -- 2.7 Behavioral Reasoning Theory (BRT) -- 2.8 Decision Theories -- 2.9 Theory of Flow -- 3 How to Use ICT in Guiding? -- 4 Establishing Constructive Collaboration Through Technology Channels -- 5 The Empirical Model -- 6 Results and Discussions -- 7 Conclusion -- References -- Deep Hybrid Model with Trained Weights for Multimodal Sarcasm Detection -- 1 Introduction -- 2 Literature Survey -- 3 Preprocessing, Feature Extraction and Feature Level Fusion Process -- 3.1 Preprocessing -- 3.2 Feature Extraction. , 4 Hybrid RNN and Optimized LSTM for Multimodal Sarcasm Detection (Hromsd) -- 4.1 RNN -- 4.2 Optimized LSTM -- 4.3 Improved Bald Eagle Search Optimization for Training LSTM -- 5 Final Outcome and Discussions of HROMSD -- 5.1 Simulation Procedure -- 5.2 Dataset Description -- 5.3 Validate the Performance of the HROMSD Regarding Positive Measure -- 6 Conclusion -- References -- InsuraChain: A Blockchain-Based Parametric Health Insurance Platform -- 1 Introduction -- 1.1 Research Contribution -- 2 Related Works -- 3 Systems in Place -- 3.1 Traditional Insurance -- 3.2 Cashless Insurance -- 4 Proposed System -- 4.1 Comparison with Systems in Place -- 5 Architecture -- 6 Implementation -- 6.1 IPFS -- 6.2 Smart Contracts -- 6.3 Web Interface -- 6.4 Flow of Events -- 7 Results and Discussion -- 8 Future Works -- 8.1 Digital Currency -- 8.2 Image Recognition -- 9 Conclusion -- References -- Automating Audio Attack Vectors -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Circuit Design -- 3.2 PoC Tool -- 3.3 Laser Attack -- 3.4 Psychoacoustic Attack -- 4 Results and Discussion -- 4.1 PoC Tool -- 4.2 Laser Attack -- 4.3 Psychoacoustic Attack -- 5 Conclusion -- 5.1 PoC Tool -- 5.2 Laser Attack -- 5.3 Psychoacoustic Attack -- 6 Future Work -- References -- Child Detection by Utilizing Touchscreen Behavioral Biometrics on Mobile -- 1 Introduction -- 2 Literature Survey -- 2.1 Background -- 2.2 Related Work Implications -- 3 Experimental Setup -- 4 Models Used and Their Results -- 4.1 LightGBM -- 4.2 XGBOOST -- 4.3 ANN (Artificial Neural Network) -- 4.4 Support Vector Machine (SVM) -- 4.5 K-Nearest Neighbors (KNN) -- 5 Evaluation Metrics -- 5.1 Final Accuracies -- 5.2 ROC Curves -- 6 Conclusions -- 6.1 Limitations -- 6.2 Future Scope -- References -- Hand Gesture-Controlled Wheelchair -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Working. , 4.1 Circuit Diagram of Transmitter -- 4.2 Circuit Diagram of Receiver -- 4.3 Functional Table -- 4.4 Merits and Demerits Table -- 4.5 Flowcharts -- 4.6 Need of Project -- 5 Summary and Conclusion -- References -- Decentralized Evidence Storage System Using Blockchain and IPFS -- 1 Introduction -- 2 Problems in Current System -- 3 Solution Using Blockchain and IPFS -- 4 Working of the System -- 5 Implementation -- 6 Security and Privacy Considerations -- 6.1 Consensus Mechanism -- 6.2 Encryption -- 6.3 Network Security -- 6.4 Privacy -- 6.5 Auditability -- 6.6 Legal Compliance -- 7 Comparison with Centralized Storage Solutions -- 7.1 Security -- 7.2 Privacy -- 7.3 Decentralization -- 7.4 Speed -- 7.5 Cost -- 8 Advantages of Proposed System -- 8.1 Improvement in Transparency -- 8.2 Evidence Remains Immutable -- 8.3 Restore Trust of People in Courts -- 8.4 Improve Courts' Efficiency -- 8.5 Higher Performance -- 8.6 Minimized Storage Costs -- 8.7 Reliable -- 9 Use Cases and Applications of the System -- 9.1 Legal and Regulatory Compliance -- 9.2 Supply Chain Management -- 9.3 Intellectual Property Protection -- 9.4 Digital Identity Verification -- 9.5 Evidence Collection and Preservation -- 9.6 Decentralized File Sharing -- 10 Limitations and Future Scope -- 11 Conclusion -- References -- Investigation of DCF Length and Input Power Selection for Optical Transmission Systems -- 1 Introduction -- 2 Simulative Setup -- 3 Results and Discussion -- 4 Conclusion -- References -- Resource Optimization with Digital Twins Using Intelligent Techniques for Smart Healthcare Management -- 1 Introduction -- 2 Digital Twin -- 3 Digital Twin Technologies -- 4 Literature Review -- 4.1 Related Work -- 5 Reflection Model Based on Digital Twin -- 6 Machine Learning and Optimization -- 6.1 Logistic Regression ML Model -- 7 Proposed Optimization Model Based on Digital Twin. , 8 Results.

Additional Edition: Print version: Ranganathan, G. Inventive Communication and Computational Technologies Singapore : Springer,c2023 ISBN 9789819951659

Language: English

UID:

Format: 1 online resource (792 pages)

Edition: 1st ed. 2023.

ISBN: 981-9908-35-3

Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 166

Content: This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during January 11–12, 2023. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices to personalized, embedded, and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models, and advanced informatics that support the symbiosis of mobile computing and sustainable informatics.

Note: Measuring the technical efficiency of Thai rubber export using the spatial stochastic frontier model under the BCG concept -- Analysis of Digital data Consumption of video streaming platforms during COVID-19 -- A Prototype of Wireless Power Transmission System Based on Arduino -- Short review on blockchain technology for smart city security -- Efficient Analysis of Sequences of Security Problems in Access Control Systems -- Artificial Intelligence in Agriculture: Machine Learning based Early Detection of Insects and Diseases with Environment and Substance Monitoring us-ing IoT -- Design Concepts for Mobile Computing Direction Finding Systems -- A Hybrid Machine Learning Model for Urban Mid- and Long-term Electricity Load Forecasting -- Optimizing Long Short-Term Memory by Improved Teacher Learning Based Optimization for Ethereum Price Forecasting -- A Sophisticated review on Open Verifiable Health Care system in Cloud -- Fuzzy Metadata Augmentation for Multimodal Data Classification -- Development of information accuracy control system -- MODELLING AN EFFICIENT APPROACH TO ANALYZE CLONE PHISHING AND PREDICT CYBER-CRIMES -- The Application of Mobile Phones to Enable Traffic Flow Optimisation.

Additional Edition: Print version: Shakya, Subarna Mobile Computing and Sustainable Informatics Singapore : Springer,c2023 ISBN 9789819908349

Language: English

DOI: 10.1007/978-981-99-0835-6

UID:

Format: 1 online resource (741 pages)

Edition: 1st ed.

ISBN: 981-9970-93-8

Series Statement: Lecture Notes in Networks and Systems Series ; v.798

Note: 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.

Additional Edition: Print version: Shakya, Subarna Fourth International Conference on Image Processing and Capsule Networks Singapore : Springer,c2024 ISBN 9789819970926

Language: English

UID:

Format: 1 online resource (728 p.)

ISBN: 1-283-14391-7 , 9786613143914 , 981-4287-59-8

Content: This unique ground-breaking work, authored by renowned Harvard-based researchers G I Papakostas and M Fava, represents, by far, the most comprehensive compilation to date of medical studies and reports involving the use of anti-depressants for the treatment of major depressive disorder, one of the most prevalent and devastating medical illnesses afflicting mankind today. Given the breadth of the scientific literature focusing on the use of anti-depressants for major depressive disorder, this work represents an invaluable tool for clinicians as well as scientists in search of a reference manual

Note: Description based upon print version of record. , pt. 1. First-line pharmacotherapy strategies -- pt. 2. Next-step treatment strategies -- pt. 3. Maintaining treatment gains -- pt. 4. Future directions in treatment development. , English

Additional Edition: ISBN 981-4287-58-X

Language: English

UID:

Format: XXVI, 737 p. 369 illus., 317 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789819970933

Series Statement: Lecture Notes in Networks and Systems, 798

Content: This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 10-11 August 2023. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.

Note: Modern Challenges & Limitations in Medical Science using Capsule Networks: A Comprehensive Review -- Studies on movie soundtracks over the last five years -- Blind Source Separation of EEG Signals using Wavelet and EMD Decomposition -- Image Extraction Approaches for Density Count Measurement in Obstruction Renography Using Radiotracer 99mTc-DTPA -- Deep Short-Term Long Memory Technique For Respiratory Lung Disease Prediction -- Utilizing Satellite Imagery For Flood Monitoring In Urban Regions -- Optimizing Permutations in Biclustering Algorithms -- Extracting Graphs from Plant Leaf Venations using Image Processing -- Multispectral fusion of multi-sensor image data using PCNN for performance evaluation in sensor networks -- U-Net based segmentation of coronary arteries in invasive coronary angiography -- Change Detection for Multispectral Remote Sensing Images Using Deep Learning -- Explainable AI for Black Sigatoka Detection -- Modified U-Net and CRF for image segmentation of crop images -- Securing Data in the Cloud: The Application of Fuzzy Identity Biometric Encryption for Enhanced Privacy and Authentication -- Quantum Convolutional Neural Network for Agricultural Mechanization and Plant Disease Detection -- Innovative Method for Alzheimer's Disease Detection Using Convolutional Neural Networks -- Segmentation of White Matter Lesions in MRI Images using Optimization-based Deep Neural Network -- A New Multi-Level Hazy Image and Video Dataset for Benchmark of Dehazing Methods -- Creative AI using DeepDream -- Tuberculosis Bacteria Detection Using Deep Learning Techniques -- An enhanced real-time system for wrong-way and over speed violation detection using deep learning -- U-Net based Denoising Autoencoder Network for de-speckling in fetal ultrasound images -- Galo Lexical Tone Recognition Using Machine Learning Approach.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789819970926

Additional Edition: Printed edition: ISBN 9789819970940

Language: English

DOI: 10.1007/978-981-99-7093-3

URL: https://doi.org/10.1007/978-981-99-7093-3