Explore cutting-edge research and advancements in technology and data analysis with this comprehensive volume. From medical imaging and sound analysis to predictive algorithms and blockchain applications, this collection offers valuable insights into contemporary challenges and solutions in various fields.
1. Classification of COVID-19 CT Images by Selecting MobileNetV2 Features Using Gray Wolf Optimizer and Poor and Rich Optimization Algorithms
Erdal Başaran
Erdal Başaran presents an innovative approach to classifying COVID-19 CT images by leveraging MobileNetV2 features and optimizing them with Gray Wolf and Poor and Rich algorithms. This chapter provides a detailed exploration of how advanced optimization techniques can enhance the accuracy and efficiency of medical image classification.
2. Distinguishing of COVID-19 Cough Sounds Using Singular Value Decomposition
Fatma Zehra Solak
Fatma Zehra Solak investigates the use of Singular Value Decomposition (SVD) to differentiate between cough sounds associated with COVID-19. This chapter delves into the application of SVD in sound analysis, offering insights into how acoustic features can be employed to identify and
monitor COVID-19 symptoms.
3. Prediction of Future Hydrological Droughts with Tree-Based Algorithms
Okan Mert Katipoğlu
Okan Mert Katipoğlu explores the use of tree-based algorithms to predict future hydrological droughts. This chapter discusses various predictive models and their effectiveness in forecasting drought conditions, providing valuable tools for water resource management and planning.
4. The Effect of Reinforcement Powders on Temperature and Microstructure in Friction Stir Welding Process
Mehmet Erbil Özcan, Dr. Serkan Erdem
Mehmet Erbil Özcan and Dr. Serkan Erdem examine the impact of reinforcement powders on temperature and microstructure during the friction stir welding process. This chapter presents experimental findings and analyses, shedding light on how different powders affect welding performance and material properties.
5. Wind Speed Prediction for Bilecik with Empirical Mode Decomposition, Wavelet Transform, and Machine Learning
Okan Mert Katipoğlu, Hüseyin Yıldırım Dalkılıç, Sefa Nur Yeşilyurt
Okan Mert Katipoğlu, Hüseyin Yıldırım Dalkılıç, and Sefa Nur Yeşilyurt investigate wind speed prediction techniques for Bilecik using Empirical Mode Decomposition, Wavelet Transform, and Machine Learning. This chapter provides a comprehensive study on combining these methods to improve the accuracy of wind speed forecasts.
6. The Applications of Blockchain Technology in Healthcare Management
Serpil Aslan
Serpil Aslan explores the transformative potential of blockchain technology in healthcare management. This chapter highlights how blockchain can enhance data security, patient privacy, and overall efficiency in healthcare systems, offering a forward-looking perspective on the integration of blockchain in medical contexts.
This book is an essential resource for researchers, practitioners, and technologists interested in the latest developments in data analysis, optimization techniques, and technology applications. It provides a thorough examination of how these innovations are shaping various industries and offers practical insights for future advancements.