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[null,"1.","Record Nr.",null,"UNISA996546830303316"]
[null,null,"Titolo",null,"Intelligent Systems and Networks [[electronic resource] ] : Selected Articles from ICISN 2023, Vietnam / / edited by Thi Dieu Linh Nguyen, Elena Verdú, Anh Ngoc Le, Maria Ganzha"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"981-9947-25-1"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (703 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems, , 2367-3389 ; ; 752"]
[null,null,"Disciplina",null,"929.605"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Security systems"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Internet of things"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Security Science and Technology"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Internet of Things"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Contents -- MRI Brain Tumor Segmentation Using Bidimensional Empirical Mode Decomposition and Morphological Operations -- 1 Introduction -- 2 Proposed Algorithm -- 2.1 Overview of BEMD -- 2.2 Pre-processing -- 2.3 Image Enhancement -- 3 Results -- 3.1 Image Enhancement -- 3.2 Image Segmentation -- 4 Conclusion -- References -- A Study on Fuzzy Nonsingular Fast Terminal Sliding Mode Control for Pendubot with Uncertainties -- 1 Introduction -- 2 The Proposed Method -- 2.1 The Dynamic Model of the Pendubot -- 2.2 Fuzzy Nonsingular Fast Terminal Sliding Mode Design -- 2.3 Genetic Algorithm Optimization -- 3 Results -- 4 Conclusion -- References -- Fluid Pipeline Leak Localization Relying on Acoustic Emission Signal Analysis -- 1 Introduction -- 2 Methodology -- 2.1 AE Burst Detection -- 2.2 AE Source Localization -- 2.3 AE Source Coordinate Histogram -- 3 Experimental Setup -- 4 Experimental Results -- 5 Conclusions -- References -- Design of Measuring and "]
[{"$nulls":4},"Warning System Based on Sound Intensity in High-Traffic Areas -- 1 Introduction -- 2 Related Work -- 3 Proposal System -- 3.1 Display Block -- 3.2 Data -- 3.3 Transformer -- 3.4 Data Filter Block -- 4 Experiment -- 4.1 Result -- 4.2 Evaluation -- 5 Conclusion -- References -- Cooking Recipe Generation Based on Ingredients Using ViT5 -- 1 Introduction -- 2 Related Work -- 3 ViT5 Model for Recipe Generation -- 4 Experimental Results -- 5 Conclusion -- References -- Proposing Lung Abnormality Detection Model Using AI -- 1 Introduction -- 2 Related Work -- 3 Algorithm Proposal -- 4 Result -- 4.1 Preparing and Training Data -- 4.2 Result -- 5 Conclusion -- References -- Ring-Based Hybrid GPON Network with Inter-oNU Transmission Capability -- 1 Introduction -- 2 Working and Operation -- 3 Discussion of Results -- 4 Conclusion -- References."]
[{"$nulls":4},"Improving Availability of Enterprise Blockchain Using Real-Time Supervisor -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Enterprise Blockchain -- 3.2 Real-Time Supervisors -- 3.3 Integration -- 4 Experiment -- 5 Conclusion -- References -- Optimized PID Controller for Two-Wheeled Self-balancing Robot Based on Genetic Algorithm -- 1 Introduction -- 2 System Dynamic of the TWSB Robot -- 3 The PID-GA controller -- 3.1 The PID controller -- 3.2 Paramater Optimization -- 4 Demonstrative Example -- 5 Conclusion -- References -- Pancreatic Cancer Detection Based on CT Images Using Deep Learning -- 1 Introduction -- 2 Methodology -- 2.1 Datasets -- 2.2 Data Preprocessing -- 2.3 Training Model -- 3 Results -- 4 Conclusions -- References -- Robust Adaptive Control for Industrial Robots Using Sliding Mode Control and RBF Neural Network -- 1 Introduction -- 2 Mathematical Model of Industrial Robot -- 3 Synthesis of the Robust Adaptive Control Law -- 3.1 Algorithm for Identification of Uncertain Parameters -- 3.2 Algorithm for Compensation of Uncertain Parameters -- 3.3 Synthesis of the Sliding Mode Control Law -- 4 Results and Discussion -- 5 Conclusion -- References -- Detecting Imbalance of Patients with Vestibular Diagnosis Using Support Vector Machine -- 1 Introduction -- 2 Methodology -- 2.1 Data Preparation and Processing -- 2.2 Support Vector Ma chine -- 3 Results and Discussions -- 4 Conclusion -- References -- Outage Constrained Robust Secure Transmission for a MISO SWIPT System -- 1 Introduction -- 2 System Model -- 3 Secure SWIPT of Beamforming Design -- 4 Numerical Experiments -- 5 Conclusion -- References -- Framework for Digital Academic Records Management Using Blockchain Technology -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Architecture -- 3.2 Academic Flow -- 4 Experiment -- 5 Conclusion -- References."]
[{"$nulls":4},"Novel Forest Height Extraction Method Based on Neuman Volume Scattering Model from PolInSAR Images -- 1 Introduction -- 2 Methodology -- 2.1 Determine Parameter of Volume and Ground Scattering Components -- 2.2 Determination of Surface Phase -- 3 Forest Height Determination Based on Optimal Iterative Method -- 4 Experimental Results -- 5 Conclusion -- References -- Q-Learning Based Multiple Agent Reinforcement Learning Model for Air Target Threat Assessment -- 1 Introduction -- 2 Related Works -- 3 Deep Q-Learning for Air Target Threat Assessment -- 3.1 Deep Q-Learning Based Reinforcement Learning -- 3.2 Definition of Learning Environment -- 3.3 Implement Method of Optimal Path Planning in Air-Attack Scenario -- 3.4 Training Results -- 4 Conclusion -- References -- Real-Time Multi-vessel Classification and Tracking Based on StrongSORT-YOLOv5 -- 1 Introduction -- 2 Proposed Method for Vessel Classification and Tracking -- 2.1 YOLOv5-Based Vessel "]
[{"$nulls":4},"Classification -- 2.2 StrongSort-Based Vessel Tracking Method -- 3 Vessel Dataset Description -- 4 Experimental Results and Discussion -- 4.1 Performance Evaluation on Processing Speed -- 5 Demonstration of Real-Time Implementation -- 6 Conclusion -- References -- Power Management for Distributed DC Microgrid Under Minimum System Price -- 1 Introduction -- 2 System Configuration of a Distributed DCMG -- 3 Proposed Control Strategy of Distributed DC Microgrid -- 4 Simulation Results -- 5 Conclusions -- References -- Detection and Diagnosis of Atopic Dermatitis Using Deep Learning Network -- 1 Introduction -- 2 Related Work -- 2.1 Automatic Assessment, Classification and Diagnosis of Dermatological Diseases -- 2.2 Convolutional Neural Networks -CNN -- 3 Proposed Model -- 4 The Experiment -- 4.1 Description of Data -- 4.2 Performance Metrics -- 4.3 Experimental and Evaluation -- 5 Conclusion -- References."]
[{"$nulls":4},"Prediction of the Welding Process Parameters and the Weld Bead Geometry for Robotic Welding Applications with Adaptive Neuro-Fuzzy Models -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets for the Bead Width Obtained from the Experiments -- 2.2 Development of the ANFIS Model for Predicting the Weld Bead Geometry -- 3 Results and Discussions -- 4 Summary, Conclusions and Future Work -- References -- Simplified Model Predictive Current Control to Balance Neutral-Point Voltage for Three-Level Sparse Four-Leg VSI -- 1 Introduction -- 2 Conventional MPCC Method for the TLSFL Inverter -- 3 Proposed MPCC Method for TLSFL Inverter -- 4 Simulation Results -- 5 Conclusion -- References -- An All-Digital Implementation of Resonate-and-Fire Neuron on FPGA -- 1 Introduction -- 2 Resonator -- 3 All-Digital Resonate-And-Fire Neuron -- 3.1 Idea for Realization -- 3.2 Circuit Designing -- 4 Experiment Result -- 5 Conclusion -- References -- Extended State Observer-Based Backstepping Sliding Mode Control for Wheel Slip Tracking -- 1 Introduction -- 2 Quarter-Vehicle Dynamic Model -- 3 Design of the Controller -- 3.1 Extended State Observer -- 3.2 Backstepping Sliding Mode Controller -- 4 Simulation Results -- 5 Conclusion -- References -- Evaluation of Valued Tolerance Rough Set and Decision Rules Method for WiFi-Based Indoor Localization in Different Environments -- 1 Introduction -- 2 Related Works -- 3 VTRS-DR Method -- 4 Dataset Description -- 4.1 Dataset 1 -- 4.2 Dataset 2 -- 5 Experimental Results -- 5.1 Dataset 1 -- 5.2 Dataset 2 -- 6 Conclusion -- References -- Lyapunov-Based Model Predictive Control for 3D-Overhead Cranes: Tracking and Payload Vibration Reduction Problems -- 1 Introduction -- 2 Modeling of 3-D Overhead Cranes -- 3 Proposed Control Algorithm -- 3.1 Sliding Mode Control -- 3.2 Lyapunov-Based Model Predictive Control."]
[{"$nulls":4},"4 Simulation Results -- 5 Conclusion -- References -- Deep Learning-Based Object Tracking and Following for AGV Robot -- 1 Introduction -- 2 Proposed Robot System -- 2.1 AGV Robot Architecture -- 2.2 Human Detection and Tracking -- 2.3 Software Algorithm and System Operation -- 3 Experiment and Result -- 4 Conclusion -- References -- Predict Risk Assessment in Supply Chain Networks with Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Risk Assessment in Supply Chain Network Using Machine Learning -- 3.1 Risk Assessment Framework -- 3.2 Reliability Theory and Risk Assessment in Supply Chain Network -- 4 Experimental Case Study -- 4.1 Data -- 4.2 Algorithm and Evaluation Metric -- 4.3 Result -- 5 Implications and Conclusions -- References -- Odoo: A Highly Customizable ERP Solution for Vietnamese Businesses -- 1 Introduction -- 2 Methodology -- 2.1 Odoo Architecture -- 2.2 Odoo Structure -- 3 Results -- 3.1 Odoo Customizability -- 3.2 HRM Overtime Module -- 4 Conclusion -- "]
[{"$nulls":4},"References -- Optimal Pressure Regulation in Water Distribution Systems Based Mathematical Program with Vanishing Constraints -- 1 Introduction -- 2 Problem Formulation for Optimal Pressure Management -- 2.1 Objective Function -- 2.2 Hydraulic Model Equality and Inequality for the Optimization Problem -- 3 An Efficient Regularization Scheme for the MPVCs -- 4 Case Studies -- 4.1 Conclusions -- References -- Blockchain and Federated Learning Based Integrated Approach for Agricultural Internet of Things -- 1 Introduction -- 2 Methodology -- 3 Results and Evaluation -- 3.1 Experimental Testbed -- 3.2 Analysis -- 4 Conclusion -- References -- Personal Federated Learning via Momentum Target with Self-Improvement -- 1 Introduction -- 2 Related Works -- 3 Proposed Algorithms -- 3.1 System Architecture -- 3.2 Meta Update with a Hybrid Loss."]
[{"$nulls":4},"3.3 Self-improving Momentum Model via Slow Update."]
[null,null,null,"Sommario/riassunto","This book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2021), held at Hanoi in Vietnam. It includes peer-reviewed high-quality articles on intelligent system and networks. It brings together professionals and researchers in the area and presents a platform for exchange of ideas and to foster future collaboration. The topics covered in this book include—foundations of computer science; computational intelligence language and speech processing; software engineering software development methods; wireless communications signal processing for communications; electronics track IoT and sensor systems embedded systems; etc."]
[null,"2.","Record Nr.",null,"UNINA9910967322603321"]
[null,null,"Autore",null,"Haacker Markus"]
[null,null,"Titolo",null,"HIV/AIDS : : The Impact on Poverty and Inequality / / Markus Haacker, Gonzalo Salinas"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : International Monetary Fund, , 2006"]
[null,null,"ISBN",null,"9786613827258"]
[{"$nulls":4},"9781462382095"]
[{"$nulls":4},"1462382096"]
[{"$nulls":4},"9781452775371"]
[{"$nulls":4},"1452775370"]
[{"$nulls":4},"9781283514804"]
[{"$nulls":4},"128351480X"]
[{"$nulls":4},"9781451997347"]
[{"$nulls":4},"1451997345"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (24 p.)"]
[null,null,"Collana",null,"IMF Working Papers"]
[null,null,"Soggetti",null,"AIDS (Disease) - Economic aspects"]
[{"$nulls":4},"AIDS (Disease) - Social aspects"]
[{"$nulls":4},"Aggregate Factor Income Distribution"]
[{"$nulls":4},"Demographic Economics: General"]
[{"$nulls":4},"Demography"]
[{"$nulls":4},"Diseases: AIDS and HIV"]
[{"$nulls":4},"Health Behavior"]
[{"$nulls":4},"Hiv and AIDS"]
[{"$nulls":4},"Hiv"]
[{"$nulls":4},"Hiv/AIDS"]
[{"$nulls":4},"Income distribution"]
[{"$nulls":4},"Income"]
[{"$nulls":4},"Macroeconomics"]
[{"$nulls":4},"Personal income"]
[{"$nulls":4},"Personal Income, Wealth, and Their Distributions"]
[{"$nulls":4},"Population & demography"]
[{"$nulls":4},"Population and demographics"]
[{"$nulls":4},"Population"]
[{"$nulls":4},"Poverty & precarity"]
[{"$nulls":4},"Poverty and Homelessness"]
[{"$nulls":4},"Poverty"]
[{"$nulls":4},"Viruses"]
[{"$nulls":4},"Welfare, Well-Being, and Poverty: General"]
[{"$nulls":4},"Zambia"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"May 2006.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"\"\"Contents\"\"; \"\"I. INTRODUCTION\"\"; \"\"II. DATA DESCRIPTION\"\"; \"\"III. METHODOLOGY\"\"; \"\"IV. IMPACT OF HIV/AIDS ON POVERTY AND INEQUALITY\"\"; \"\"V. DETERMINANTS OF THE IMPACT ON INCOME AND POVERTY\"\"; \"\"VI. CONCLUSIONS\"\"; \"\"REFERENCES\"\""]
[null,null,null,"Sommario/riassunto","Using available data on the distribution of HIV/AIDS prevalence across population groups for four sub-Saharan African countries and transposing this information to household income and expenditure surveys, we simulate the impact of HIV/AIDS on poverty and inequality. We find that the epidemic lowers average income and increases poverty, and that the jump in poverty is larger than expected from the fall in average income. This disproportionate increase in poverty reflects the large share of the population living on the threshold of poverty and the higher HIV prevalence rates in those segments of the population."]