UID:
almafu_9959833838402883
Format:
1 online resource (833 pages)
ISBN:
3-030-73050-6
Series Statement:
Advances in Intelligent Systems and Computing ; v.1375
Note:
Intro -- Preface -- HIS-NaBIC 2020 Organization -- General Chairs -- Program Chairs -- Publication Chairs -- Publicity Chairs -- International Program Committee -- Contents -- Vertical Interior Distance Ratio to Minimum Bounding Rectangle of a Shape -- 1 Introduction -- 2 Related Work -- 2.1 CCD (Centroid Contour Distance) -- 2.2 SC (Shape Context) -- 3 VIDR -- 3.1 Minimum Bounding Rectangle -- 3.2 Vertical Interior Distance Proportional Distribution -- 3.3 Shape Matching -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Auto-Encoder Based Wavelet and Extreme Learning Machine for Face Recognition -- 1 Introduction -- 2 Proposed Approach -- 2.1 Deep Learning -- 2.2 Wavelet Neural Network (WNN) -- 2.3 Extreme Learning Machine -- 2.4 Auto-Encoder -- 2.5 ELM Auto-Encoder -- 2.6 The Proposed Model -- 3 Results -- 3.1 Database Description -- 3.2 Results and Discussion -- 4 Conclusion -- References -- Sparse Wavelet Auto-encoder for Covid-19 Cases Identification -- 1 Introduction -- 2 Stacked Sparse Auto-encoders -- 3 Methodology -- 4 Sparse Auto-encoder Based Patches -- 5 Deep Network Based on Stacked Auto-encoders -- 6 Experimental Results and Discussion -- 7 Conclusion -- References -- Design Guide Prediction Model for the Legal Interactions (GPM-LI) -- 1 Introduction -- 2 Build GPM-LI -- 2.1 Preprocessing Stage -- 2.2 Build GPM-LI Predictor -- 3 Experiments -- References -- Unsupervised Image Segmentation Using THMRF Model -- 1 Introduction -- 2 Tweedie Hidden Markov Random Field Models: THMRF Models -- 3 Parameters Estimation: The THMRF-EMM Algorithm -- 3.1 The Proposed Segmentation Algorithm -- 3.2 Evaluation Criteria -- 3.3 The Proposed Segmentation Algorithm with Synthetic Image (K=2 Regions) -- 3.4 The Proposed Segmentation Algorithm with Real Brain MRI -- 4 Conclusion -- References.
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Maximizing an Organization's Operating Enactment in the Areas of Planning and Management -- 1 Introduction -- 2 Material and Method -- 2.1 Research Objective and Scope -- 2.2 Research Problem -- 2.3 Methodology -- 2.4 Design/Scheme of Research -- 3 Results -- 3.1 Data Collection Planning and Organizational Management -- 3.2 Data Analysis -- 4 Discussions -- 5 Conclusions -- References -- Accent and Gender Recognition from English Language Speech and Audio Using Signal Processing and Deep Learning -- 1 Introduction -- 2 Relevant Literature -- 3 Speech Classification Modeling -- 3.1 Problem Statement -- 3.2 English Language Accent Dataset -- 3.3 Feature Extraction Algorithms -- 3.4 Deep Learning Architecture Search -- 3.5 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- Improved Path Planning with Memory Efficient A* Algorithm and Optimization of Narrow Passages -- 1 Introduction -- 2 Related Work on Path Finding Algorithms -- 3 Distance Calculation and Grid Navigation -- 4 Considered Algorithms -- 5 Computational Experiments -- 5.1 Model -- 5.2 Simulations -- 5.3 Simulation Settings -- 6 Results -- 7 Conclusions -- References -- Intelligent Mobile Application to Determine the Existence of Medicines Associated with COVID-19 in a Social Network of Medical Dispensaries in a Smart City -- 1 Introduction -- 2 Dataset Analysis -- 3 Selection of Adequate Metaheuristics to Optimize the Problem: Cultural Algorithms -- 4 Intelligent Tool Developed -- 5 Conclusions and Future Research -- References -- NoSQL Data Lake: A Big Data Source from Social Media -- 1 Introduction -- 2 Data Lake Concept -- 3 Related Work -- 4 Big Data Source -- 4.1 Social Media Data Extraction -- 4.2 Social Media Data Integration to NoSQL Data Lake -- 5 Implementation and Evaluation -- 6 Conclusion -- References.
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Text Classification Using Convolution Neural Networks with FastText Embedding -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Embedding Model Generation -- 3.2 Text to Feature Representation Module -- 3.3 Text Classification Training Module -- 3.4 Testing Module -- 4 Experiments -- 4.1 Text Corpus -- 5 Results and Analysis -- 5.1 Comparison with the Previous Techniques -- 6 Conclusion -- References -- Deep Convolutional Neural Network Based on Wavelet Transform for Super Image Resolution -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 LR-Image Decomposition Based on DWT -- 3.2 The Convolutional Neural Network for Feature Extraction -- 3.3 HR-Image Reconstruction -- 4 Experimental Results -- 5 Conclusion -- References -- Optimizing Instance Selection Strategies in Interactive Machine Learning: An Application to Fraud Detection -- 1 Introduction -- 2 Interactive Learning -- 3 An Interactive Learning System for Fraud Detection -- 4 Instance Selection Strategies vs. Learning Curve -- 5 Validation and Results -- 6 Conclusions -- References -- Building IoT Analytics and Machine Learning with Open Source Software for Prediction of Environmental Data -- 1 Introduction -- 2 System Model Architecture with Applications -- 2.1 A Typical BigData Architecture -- 2.2 The Proposed System Model -- 2.3 Implementation Results -- 3 Conclusions -- References -- ANFIS-Based Inverse Kinematics and Forward Dynamics of 3 DOF Serial Manipulator -- 1 Introduction -- 2 Modeling and Analysis -- 2.1 Kinematic Analysis -- 2.2 Dynamic Analysis -- 3 Adaptive Neuro-Fuzzy Inference System -- 4 Results and Discussion -- 4.1 Inverse Kinematics -- 4.2 Forward Dynamics -- 5 Conclusion -- References -- Design and Development of Intelligent Pesticide Spraying System for Agricultural Robot -- 1 Introduction -- 2 Literature Review.
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3 Design, Development and Testing -- 3.1 Tracked Mobile Manipulator -- 3.2 Spraying System Description -- 3.3 Circuit Design and Simulation -- 3.4 Fuzzy Logic Controller -- 4 Hardware Description and Experimentation -- 5 Conclusion -- References -- Solving Dynamic Bag-of-Tasks Scheduling Problem in Heterogeneous Multi-cloud Environment Using Hybrid Bi-Level Optimization Model -- 1 Introduction -- 2 DBoTSP Formulation -- 3 Proposed HBDBoTSP -- 3.1 Upper Level Optimization Procedure -- 3.2 Lower Level Optimization Procedure -- 4 Experimental Study -- 5 Conclusion -- References -- Caching Mechanisms Evolution in CCN Architectures -- 1 Introduction -- 2 CCN: Most Popular ICN Approach -- 3 Overview of Existing Caching Mechanisms -- 3.1 Performance Measures -- 3.2 Caching Mechanisms in CCN -- 3.3 Caching Mechanisms in Hybrid Solutions Combining SDN and CCN -- 4 Simulation Experiments -- 5 Issues and Future Research Directions -- 5.1 Caching Improvements with Users' Behaviour Support -- 5.2 Popular Content Caching -- 5.3 Large-Scale Caching Related Issues -- 5.4 Service Vs Data Caching -- 5.5 The Tradeoff Between Gain and Cost -- 5.6 Energy Efficiency -- 5.7 Security -- 6 Conclusion -- References -- SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews -- 1 Introduction -- 2 Related Work -- 3 Corpora Development -- 4 Methodology -- 4.1 Text to Vector Representation -- 4.2 Model Architecture -- 4.3 Sentiment Classifier Model -- 5 Experiments -- 5.1 Hyperparameters -- 5.2 Results -- 6 Conclusion -- References -- Characterizing Antennas' Radiation Pattern Using Bernoulli Lemniscates -- 1 Introduction -- 2 Linkage System and Lemniscates of Bernoulli -- 3 Linkage System for Lemniscate Curves -- 4 Applications and Insights -- 4.1 Applications to Some Common Antennas -- 4.2 Discussion and Insights -- 5 Conclusion -- A Appendices.
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A.1 Proof of Proposition 1 -- A.2 Proof of Proposition 2 -- A.3 Proof of Proposition 3 -- References -- Analysis of Metaheuristics Feature Selection Algorithm for Classification -- 1 Introduction -- 2 Research Methodology -- 2.1 Data Set Description -- 3 Result and Discussion -- 3.1 Comparison of CHPSO-DE and Filter-Based Feature Selection Technique -- 3.2 Comparison of CHPSO-DE and Wrapper-Based Metaheuristics Feature Selection Technique -- 3.3 Evaluation of the Performance of Feature Selection Algorithm Using Education Datasets -- 4 Conclusion -- References -- Hybrid Genetic Algorithms to Solve the Traveling Salesman Problem -- 1 Introduction -- 2 Related Work -- 3 The Traveling Salesman Problem -- 4 Hybrid Solution Approach -- 4.1 Nearest Neighbor Algorithm -- 4.2 Adapted Genetic Algorithm -- 5 Computation Experiments and Results -- 5.1 Experiment Setup -- 5.2 Results -- 6 Discussion -- 7 Conclusion and Outlook -- References -- Hybridization of Adaboost with Random Forest for Real-Time Prediction of Online Shoppers' Purchasing Intention -- 1 Introduction -- 2 Literature Review -- 3 Suggested System -- 3.1 Functional Description -- 3.2 Data Description -- 3.3 Prediction -- 4 Experiments and Results -- 5 Conclusion and Prospects -- References -- Change Detection in Satellite Imagery: A Multi-label Approach Using Convolutional Neural Network -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preparation of Dataset -- 3.2 Application of Sliding Window on Satellite Images -- 3.3 Data Augmentation -- 3.4 Preprocessing and Post-processing of Images -- 3.5 Neural Network Architecture -- 3.6 Loss and Activation Function -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Inverse Neural Control of a Magnetic Levitation System: Experimental Results -- 1 Introduction -- 2 System Analysis -- 2.1 System Modeling.
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2.2 System Parameters.
Additional Edition:
ISBN 3-030-73049-2
Language:
English
Keywords:
Congressos
;
Llibres electrònics
;
Congressos
;
Llibres electrònics
