Kooperativer Bibliotheksverbund

UID:

Format: XV, 527 p. 209 illus., 163 illus. in color. , online resource.

Edition: 1st ed. 2024.

ISBN: 9783031507557

Series Statement: Lecture Notes in Networks and Systems, 872

Content: This book aims at meeting the challenge of getting along with today's unprecedented rate of innovation supported by disruptive digital technologies, which changed the perception of the productivity and effectiveness and opened a gateway to more than ever dynamic advances in solving the important societal challenges. "Disruptive Information Technologies for a Smart Society" is the proceedings book of the 13th International conference for information society and technologies that brings together experts from various fields to discuss the latest advancements in software engineering, machine learning, digital water, and ICT for health and sport. The book and the conference serve as a platform for researchers of all career stages in technical sciences, especially Ph.D. students, practitioners, and industry experts in health care, energy, Fintech, AI, and other areas to share and learn on the cutting-edge technologies and stay at the forefront of these rapidly evolving fields.

Note: Part I: ICT for Health, Well-being and Sport -- Prediction of coronary plaque progression using data mining and artificial neural networks -- Rule-Based System For Pregnancy Monitoring -- Finite element analysis of myocardial work in cardiomyopathy -- Saccade Identification During Driving Simulation from Eye Tracker Data with Low-sampling Frequency -- Digital Technologies to support the Decision-Making Process for Dental Implants Treatment Planning -- SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling -- The Importance of Genetic and Clinical Data features in Risk Stratification of Patients with Hypertrophic Cardiomyopathy -- Haptic user interface for biomechanical feedback in aquatic sports: usability study -- Overview of Deep Learning Retinal Vessel Segmentation Methods from Fundus Images -- Convolutional Neural Network for Atherosclerotic Plaque Multiclass Image Segmentation in Transverse Ultrasound Images of Carotid Artery -- Part II: Applied Artificial Intelligence -- Using AutoML for AI service deployment -- Comparison of Deep Learning Algorithms for Facial Keypoints Detection -- Artificial Intelligence in Public Administration and Business Sector: A Bibliometric Review in Comparative Perspective -- Machine Learning Model as a Service in Smart Agriculture Systems -- A semi-supervised framework for anomaly detection and data labeling for industrial control systems -- Multilingual transformer and BERTopic for short text topic modeling: the case of Serbian -- Evaluation of head-up display for conditionally automated vehicles -- Visual programming support for the explainable artificial intelligence -- Multi-criteria decision making in turning operations using AHP, TOPSIS and WASPAS methods -- CNN-Based Object Detection for Robot Grasping in Cluttered Environment -- Performance Prediction of bio-inspired Compliant Grippers using Machine Learning Algorithms -- Part III:Digital Water -- HPC-based decision support system for remediation works on a dam -- Analysis of seepage through an embankment dam within the framework of hydropower system resilience assessment -- Statistical method for the DDF curves estimation under changing climate -- Technology platform for hydroinformatics systems -- Part IV:Computer Based Learning -- Novel approach for education in biomedical engineering based on atomic learning -- Ontology development approach adopting analogy and competency questions -- Educational system for demonstrating Remote attacks on Android Devices -- CRETE - Code REview Tool for Education -- The architecture of citizen science open data repository based on version control platforms -- Automatic Population of Educational Ontology from Course Materials -- Visual Question Answering - VizWiz challenge -- Part V:Digitalization in Energy sector -- Hybrid Approach in Thermal Demand Forecasting of a Building -- Digital solution to estimate solar power potential of rooftops in city of Belgrade -- Platform for efficient building operation and Demand Response flexibility provision -- Framework for optimizing neural network hyper parameters for accurate wind production forecasting -- Demand-side optimization of hybrid energy systems with heat pumps -- Scalable real-time simulation of electrical power system models in the cloud -- Part VI:Advanced Information Systems -- Relying on E-Contracting and Smart Contracts to Facilitate Legally Enforceable Conformance Checking in Collaborative Production -- Can memes beat the market? A roadmap to forecasting financial asset returns by using social media data and Machine Learning -- Access control in a distributed micro-cloud environment -- E-Government Requirements Specification Based on BPMN -- Towards a Formal Specification and Automatic Execution of ETLs in Cross-Organizational Business Processes -- Task queue implementation for edge computing platform -- Authentication and identity management based on zero trust security model in micro-cloud environment -- Supporting Integrative Code Generation with Traceability Links and Code Fragment Integrity Checks -- Model for Evaluating Points-to Analysis in GraalVM Native Image Using Instrumentation-based Profiling -- A Reference Architecture for Secure IoT.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031507540

Additional Edition: Printed edition: ISBN 9783031507564

Language: English

DOI: 10.1007/978-3-031-50755-7

URL: https://doi.org/10.1007/978-3-031-50755-7

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XV, 830 p. 297 illus., 194 illus. in color)

ISBN: 9783319680255

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-68024-8

Language: English

DOI: 10.1007/978-3-319-68025-5

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XVII, 553 p. 282 illus., 259 illus. in color)

Edition: 1st ed. 2022

ISBN: 9783030982799

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-98278-2

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-98280-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-98281-2

Language: English

DOI: 10.1007/978-3-030-98279-9

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (533 pages)

Edition: First edition.

ISBN: 3-031-50755-X

Series Statement: Lecture Notes in Networks and Systems Series ; Volume 872

Note: Intro -- Preface -- Organization -- Contents -- ICT for Health, Well-Being and Sports -- Prediction of Coronary Plaque Progression Using Data Mining and Artificial Neural Networks -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusion -- References -- Rule-Based System for Pregnancy Monitoring -- 1 Introduction -- 2 Research Questions and Methodology -- 3 Related Work -- 4 Analysis of Existing Solutions -- 5 Software Solution Design -- 6 System Implementation -- 6.1 Rules for Calculating Screen Test Results -- 6.2 Rules for Disease Diagnosis -- 6.3 Rules for Monitoring CTG -- 7 Conclusion -- References -- Finite Element Analysis of Myocardial Work in Cardiomyopathy -- 1 Introduction -- 1.1 Motivation -- 1.2 Research Questions -- 1.3 Related Work -- 2 Materials and Methods -- 2.1 Myocardial Work -- 2.2 PAK FE Solver and FSI Analysis -- 2.3 Drugs Simulations -- 3 Results and Discussion -- 4 Conclusions -- References -- Saccade Identification During Driving Simulation from Eye Tracker Data with Low-Sampling Frequency -- 1 Introduction -- 1.1 Research Questions -- 2 Methodology -- 2.1 Pre-processing and Noise Cancellation -- 2.2 Saccade Identification -- 2.3 Statistical Analysis -- 3 Results -- 4 Discussion and Conclusion -- References -- Digital Technologies to Support the Decision-Making Process for Dental Implants Treatment Planning -- 1 Introduction -- 2 Digital Technologies to Support the 3D Reconstruction in Dentistry -- 3 Rule-Based System Concept -- 4 Digital Technologies and Rule-Based System for the Decision-Making Process in Dental Implant -- 5 Application of Dental Implant Definition and Implantation Process Description Expert System (DI2DP-ExS) in an Experimental Case -- 5.1 Mapped Input Data -- 5.2 Pre-Processing Function -- 5.3 Dental Implant Definition Function -- 6 Conclusion -- References. , SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling -- 1 Introduction -- 1.1 Literature Review -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Use Case of a Model - Biomaterial Corrosion -- 4 Conclusions -- References -- The Importance of Genetic and Clinical Data Features in Risk Stratification of Patients with Hypertrophic Cardiomyopathy -- 1 Introduction -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusion -- References -- Can Haptic Actuator Be Used for Biofeedback Applications in Swimming? -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- References -- Overview of Deep Learning Methods for Retinal Vessel Segmentation -- 1 Introduction -- 2 Retinal Vessel Segmentation -- 3 Overview of Segmentation Architectures -- 3.1 UNet -- 3.2 Domain-Knowledge-Based Approaches -- 3.3 Context-Based Approaches -- 3.4 Attention-Based Approaches -- 4 Performance Analysis -- 4.1 Dataset -- 4.2 Metrics -- 4.3 Numerical Results -- 5 Discussion -- 6 Conclusions -- References -- Convolutional Neural Network for Atherosclerotic Plaque Multiclass Semantic Image Segmentation in Transverse Ultrasound Images of Carotid Artery -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Image Preprocessing -- 2.3 Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Applied Artificial Intelligence -- Using AutoML for AI Service Deployment -- 1 Introduction -- 2 The Challenge of Choosing AutoML Framework -- 2.1 Benchmark of AutoML Frameworks -- 2.2 Our AutoML Service -- 3 Service Design Essentials -- 3.1 Framework Recommendation System -- 3.2 Feedback Data Base -- 4 Other Service Specifics -- 4.1 Model Deployment -- 4.2 Implementing AutoML Frameworks on the Service -- 4.3 Data Preprocessing -- 5 Conclusions and Future Work -- References. , Comparison of Deep Learning Algorithms for Facial Keypoints Detection -- 1 Introduction -- 2 Related Work -- 3 Dataset and Models -- 3.1 Dataset -- 3.2 Models -- 4 Evaluation -- 5 Conclusion and Future Work -- References -- Artificial Intelligence in Public Administration: A Bibliometric Review in Comparative Perspective -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 3.1 Scientific Production -- 3.2 Network Analysis -- 3.3 Yule's Q Analysis -- 3.4 Regression Analysis -- 4 Conclusion -- References -- Machine Learning Model as a Service in Smart Agriculture Systems -- 1 Introduction -- 2 Related Work -- 3 Smart Agriculture Systems -- 3.1 General System Overview -- 3.2 Machine Learning Model as a Service -- 4 MLaaS in Smart Agriculture Systems - Implementation and Evaluation -- 5 Conclusion -- References -- A Semi-supervised Framework for Anomaly Detection and Data Labeling for Industrial Control Systems -- 1 Introduction -- 2 Related Works -- 3 Data Exploration -- 4 Proposed Anomaly Detection and Labeling Framework -- 4.1 Data Preprocessing -- 4.2 Anomaly Detection -- 4.3 Labeling the Anomalies -- 4.4 Anomaly Classification Models -- 4.5 Performance Metrics -- 5 Experiments -- 5.1 Anomaly Detection with Isolation Forest -- 5.2 Finding the Optimal Classification Model for the Dataset -- 6 Conclusion and Future Work -- References -- Multilingual Transformer and BERTopic for Short Text Topic Modeling: The Case of Serbian -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Research Questions -- 3.2 The Model -- 3.3 The Data -- 3.4 Evaluation -- 4 Results & -- Discussion -- 4.1 RQ1 -- 4.2 RQ2 -- 5 Conclusions and Future Work -- References -- Evaluation of Head-Up Display for Conditionally Automated Vehicles -- 1 Introduction -- 1.1 Motivation -- 2 HADRIAN Project -- 3 Methodology -- 3.1 Prior Work -- 3.2 Head-Up Display. , 3.3 Participants -- 3.4 Study Set-Up -- 4 Results -- 4.1 User-Experience -- 4.2 Usability -- 4.3 Acceptance -- 5 Discussion and Conclusions -- References -- Visual Programming Support for the Explainable Artificial Intelligence -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 LIME and SHAP Models for Explainable AI -- 3.2 Dataset -- 3.3 Proposed Workflow -- 4 Results -- 5 Conclusion -- References -- Multi-criteria Decision Making in Turning Operations Using AHP, TOPSIS and WASPAS Methods -- 1 Introduction -- 2 State of the Art -- 3 Methodology -- 3.1 AHP Method -- 3.2 TOPSIS Method -- 3.3 WASPAS Method -- 4 Case Study -- 5 Results and Discussion -- 6 Conclusion -- References -- CNN - Based Object Detection for Robot Grasping in Cluttered Environment -- 1 Introduction -- 1.1 Motivation -- 1.2 Research Question -- 2 State of the Art -- 3 Methodology -- 3.1 Experimental Setup -- 3.2 Image Preprocessing -- 3.3 Object Recognition -- 3.4 Data Preparation and Training of YoloV8 -- 3.5 Coordinate Transformation -- 3.6 Robot Grasping Task -- 4 Results and Discussion -- References -- Performance Prediction of Bio-inspired Compliant Grippers Using Machine Learning Algorithms -- 1 Introduction -- 2 Compliant Gripper Design -- 3 Experimental Validation and Finite Element Analysis -- 4 Predictive Modeling Parameters in a Compliant Gripper Design -- 5 Conclusion -- References -- Digital Water -- High-Performance Computing Based Decision-Support System for Remediation Works on a Dam -- 1 Introduction -- 2 The Concept of Decision-Support System -- 2.1 Hydraulics -- 2.2 Tracer Transport -- 2.3 Granulated Material Transport and Sedimentation -- 2.4 Estimation of Conduits' Parameters -- 3 Data Management -- 3.1 Data Acquisition -- 3.2 Data Quality Control -- 3.3 Data Processing -- 3.4 Data Distribution -- 4 Computational Model -- 4.1 Boundary Conditions. , 4.2 Tracer Transport Model -- 5 Data Assimilation -- 5.1 Evolutionary Algorithms -- 5.2 HPC Implementation -- 6 Decision Support Tools -- 6.1 Real-Time Tracking of Remediation -- 6.2 Analysis and Planning -- 7 Conclusion -- References -- Analysis of Seepage Through an Embankment Dam Within the Framework of Hydropower System Resilience Assessment -- 1 Introduction -- 2 Theoretical Basics -- 2.1 Basic Equations of Flow Through a Porous Medium -- 2.2 Basic Equations of Strength Analysis -- 2.3 Shear Strength Reduction -- 2.4 Remaining Load-Bearing Capacity -- 3 Numerical Model of the Zavoj Dam -- 4 Numerical Analysis of the Dam -- 5 Conclusions -- References -- Statistical Method for the Depth-Duration-Frequency Curves Estimation Under Changing Climate: Case Study of the Južna Morava River (Serbia) -- 1 Introduction -- 2 Study Area and Data Collection -- 2.1 Study Area -- 2.2 Data Collection -- 3 Methodology -- 3.1 Theoretical Distribution Fit -- 3.2 Downscaling Daily to Sub-Daily Rainfall -- 3.3 DDF Curves Estimation with Quasi-Standard Method -- 3.4 Consistent DDF Curves Estimation - Koutsoyiannis -- 4 Results and Discussion -- 4.1 Standard Method -- 4.2 Koutsoyiannis' Method -- 5 Conclusions -- References -- Technology Platform for Hydroinformatics Systems -- 1 Introduction -- 2 Hydroinformatics Systems in Practice -- 3 Hydroinformatics System Technology Platform -- 3.1 Data Management -- 3.2 Model and Simulation Process Management -- 3.3 Decision Support Tool -- 4 Conclusion -- References -- Computer Based Learning -- Novel Approach for Education in Biomedical Engineering Based on Atomic Learning -- 1 Introduction -- 2 The Methodology and Its Application -- 3 Conclusion -- References -- Ontology Development Approach Adopting Analogy and Competency Questions -- 1 Introduction -- 2 Background and Related Work -- 3 Methodology. , 3.1 Formalization of Abstract Analogy Ontology.

Additional Edition: Print version: Trajanovic, Miroslav Disruptive Information Technologies for a Smart Society Cham : Springer International Publishing AG,c2024 ISBN 9783031507540

Language: English