Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (VII, 250 p. 90 illus., 74 illus. in color)

Edition: 1st ed. 2024

ISBN: 9783031608407

Series Statement: Lecture Notes in Networks and Systems 999

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60839-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-60841-4

Language: English

DOI: 10.1007/978-3-031-60840-7

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: VII, 250 p. 90 illus., 74 illus. in color. , online resource.

Edition: 1st ed. 2024.

ISBN: 9783031608407

Series Statement: Lecture Notes in Networks and Systems, 999

Content: The book Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering is providing exceptional chapters of the state-of-the-art research knowledge and results on the innovative theories, methodology and applications of artificial intelligence and its sub-domain like deep learning, machine learning in different areas such as medicine, economy, education, law, smart city, government, industry etc. Innovative research ideas on how to solve problems using artificial intelligence, both in R&D and real-time applications are presented. Chapters describe the advanced prototypes, systems, methodologies, tools and techniques and general survey papers, which indicate future directions. These Chapters are extended papers from the Second Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19-20, 2023.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031608391

Additional Edition: Printed edition: ISBN 9783031608414

Language: English

DOI: 10.1007/978-3-031-60840-7

URL: https://doi.org/10.1007/978-3-031-60840-7

UID:

Format: 1 online resource (257 pages)

Edition: First edition.

ISBN: 9783031608407

Series Statement: Lecture Notes in Networks and Systems Series ; Volume 999

Note: Intro -- Contents -- Implementation of Hybrid ANN-GWO Algorithm for Estimation of the Fundamental Period of RC-Frame Structures -- 1 Introduction -- 2 Material and Methods -- 2.1 Database Description -- 2.2 Artificial Neural Network (ANN) -- 2.3 Grey Wolf Optimization (GWO) -- 3 Results and Discussion -- 4 Conclusions -- References -- Development of a Mathematical Model for Balloon Diameter Calculation in Percutaneous Transluminal Angioplasty Using Genetic Programming -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Estimation of Oscillatory Comfort During Vertical Vibrations Using an Artificial Neural Network -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 3.1 Experimental Results -- 3.2 Artificial Neural Network Results -- 4 Conclusions -- References -- HR Analytics: Opportunities and Challenges for Implementation in SME -- 1 Introduction -- 2 Model of HRa Implementation in SMEs -- 3 Results -- 4 Conclusions -- References -- Comparison of Data-Driven and Physics-Informed Neural Networks for Surrogate Modelling of the Huxley Muscle Model -- 1 Introduction -- 2 Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Different Dataset Preprocessing Methods for Tree Detection Based on UAV Images and YOLOv8 Network -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Data-Driven Digital Twins of Renewable Energy Grids -- 1 Introduction -- 2 Methodology -- 2.1 Concept of the Digital Twin -- 2.2 Automatically Created Model of Solar Power Plant -- 3 Results and Validation -- 4 Conclusions -- References -- AI Anomaly Detection for Smart Manufacturing -- 1 Introduction -- 2 Methodology -- 3 Dataset Optimization Empowered by Edge Computing -- 4 Unsupervised ML Models Development and Testing -- 5 Conclusions. , References -- Drawbacks of Programming Dataflow Architectures and Methods to Overcome Them -- 1 Introduction -- 2 Problem Statement -- 3 Existing Solutions -- 4 Proposed Solution -- 5 Analysis -- 6 Conclusions -- References -- Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations Using Artificial Neural Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Case Study -- 2.2 Artificial Neural Network for Water Level Forecasting -- 3 Results and Discussion -- 4 Conclusions -- References -- Enhancement of Outdated Vision Systems in SMEs with Artificial Intelligence Powered Solutions -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Evaluation of Nano-Object Magnetization Using Artificial Intelligence -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Predicting Discus Hernia from MRI Images Using Deep Transfer Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Proposed Methodology -- 3 Results and Discussion -- 4 Conclusions -- References -- Prediction of Subsonic Flutter Speeds for Composite Missile Fins Using Machine Learning -- 1 Introduction -- 2 ML Flutter Model -- 3 Conclusions -- References -- Application of Ensemble Machine Learning for Classification Problems on Very Small Datasets -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Individual Model Training -- 2.3 Ensemble Model Creation -- 3 Results and Discussion -- 4 Conclusions -- References -- An Unsupervised Image Segmentation Workflow for Extraction of Left Coronary Artery from X-Ray Coronary Angiography -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Workflow -- 3 Results -- 4 Conclusions -- References -- Artificial Intelligence in Intelligent Healthcare Systems-Opportunities and Challenges -- 1 Introduction. , 2 Medical Big Data -- 3 Analytics in the Field of Large Amounts of Medical Data -- 4 Machine Learning in the Field of Large Amounts of Medical Data -- 5 Comparative Analysis Among ML Algorithms -- 6 Application of Machine Learning Algorithms for Diabetes Detection -- 6.1 Methodology -- 6.2 Data Collection -- 6.3 Data Preprocessing -- 6.4 Exploratory Data Analysis -- 6.5 Evaluation Metrics -- 6.6 Results Comparisons -- 6.7 Conclusion, Challenges, Future Work of Application of Machine Learning Algorithms for Diabetes Detection -- 7 Big Data Software Platforms -- 7.1 Spark vs Hadoop -- 8 Privacy and Data Security -- 9 Discussion -- 10 Future Challenges -- References -- Object Detection in Precision Viticulture Based on Uav Images and Artificial Intelligence -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description -- 2.2 You Only Look Once (YOLO) -- 3 Results and Discussion -- 4 Conclusions -- References -- Material Classification of Underground Objects from GPR Recordings Using Deep Learning Approach -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Genetic Programming Approach in Better Understanding of the Relationship Between the Number of Viable Cells and Concentration of O2 - , NO2 - and GSH Produced in Cancer Cells Treated with Pd(II) Complexes -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data from the In Vitro Experiment -- 2.2 Symbolic Regression via Genetic Programming -- 3 Results and Discussion -- 4 Conclusion -- References -- Application of Artificial Intelligence for Predicting of New Potential Inhibitors of Vitamin K Epoxide Reductase -- 1 Introduction -- 1.1 Incorporation of Artificial Intelligence in Drug Design -- 1.2 Coumarins, Warfarin, Genome-Induced Resistance and Anticoagulative Activity -- 2 Methodology -- 3 Results and Discussion. , 3.1 Molecular Docking Simulations -- 3.2 Molecular Dynamics Simulations -- 4 Conclusion -- References -- Predicting the Evolution of Cancer Stem Cell Subtypes Using a Machine Learning Framework -- 1 Introduction -- 2 Material and Methods -- 2.1 Flow Cytometry Analysis -- 2.2 Machine Learning Model (ML)- Genetic Algorithm (GA) -- 3 Results and Conclusions -- 3.1 Surface Marker Expression Analysis -- 3.2 Machine Learning - Genetic Algorithm Analysis -- 3.3 Unique Contribution of in Silico Approaches -- 3.4 Future Implications and Model System -- 3.5 Conclusion -- References -- Digital Empathy -- 1 Introduction -- 2 Methodology -- 3 Discussion -- 4 Conclusion -- References -- Advancing Bioprinting Technologies: PCL/PEG Polymers as Optimal Materials for 3D Scaffold Fabrication -- 1 Introduction -- 2 Material, Methods and Results -- 3 Conclusions -- References -- Simulation of Blood Flow Through a Patient-Specific Carotid Bifurcation Reconstructed Using Deep Learning Based Segmentation of Ultrasound Images -- 1 Introduction -- 2 Materials and Methods -- 2.1 3D Reconstruction -- 2.2 Blood Flow Simulation -- 3 Results -- 4 Conclusions -- References -- Feature Selection for the Shear Stress Classification of Hip Implant Surface Topographies -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Embedding Artificial Intelligence into Wearable IoMT Systems -- 1 Introduction -- 1.1 The Problem -- 1.2 IoMT and Wearable Issues -- 1.3 Advances in Embedded Machine Learning -- 2 Related Work -- 3 Proposed Solution -- 3.1 Methods -- 4 Dataset Overview -- 4.1 ECG Overview -- 4.2 MIT-BIH Dataset Description -- 4.3 Data Preprocessing -- 4.4 Classification Reduction -- 5 Model Selection and Evaluation -- 5.1 Classification Models Selected -- 5.2 Model Evaluation and Testing -- 6 Results -- 7 Conclusion -- References. , Is There a Legal Obligation to Use Artificial Intelligence in the European Union Accession Process? -- 1 Introduction -- 2 Serbia and the European Union -- 3 Accession Negotiation Obligations -- 4 Can AI Help? -- 5 What Are the Software Features and Purpose? -- 6 Is There an Obligation to Use AI? -- 7 Conclusion -- References -- Author Index.

Additional Edition: Print version: Filipović, Nenad Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering Cham : Springer,c2024 ISBN 9783031608391

Language: English