Kooperativer Bibliotheksverbund

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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