Title:
Integrating metaheuristics in computer vision for real-world optimization problems
ISBN:
9781394230952
9781394230945
9781394230938
Physical Description:
1 online resource
Contents:
Cover -- Series Page -- Title Page -- Coyright Page -- Contents -- Preface -- Chapter 1 Advancement in Diagnostic and Therapeutic Techniques for Ischemic Stroke -- 1.1 Introduction -- 1.2 Diagnostic Tools of Ischemic Stroke -- 1.2.1 Preimaging -- 1.2.2 Imaging -- 1.2.2.1 Computed Tomography Scan -- 1.2.2.2 Magnetic Resonance Imaging -- 1.2.2.3 Electromyography -- 1.2.2.4 Electroencephalography (EEG) -- 1.2.2.5 Positron Emission Tomography (PET) -- 1.3 Artificial Intelligence-Based Diagnostic Tools -- 1.4 Blood-Based Protein Biomarker for Stroke -- 1.5 Markers for Endothelial Damage
1.6 Markers of Brain Injury -- 1.7 Therapeutic Advances in Ischemic Stroke -- 1.7.1 Ligand-Mediated Active Targeting -- 1.7.2 Nanomedicines That Provide Oxygen to Ischemic Brain Tissue -- 1.7.3 Reducing Oxidative Stress With Nanomedicines -- 1.7.4 Multiple Abnormalities are Controlled by Nanomedicine -- 1.8 Nanoparticles -- 1.8.1 Carbon Nanotubes -- 1.8.2 Dendrimers -- 1.8.3 Metal Nanoparticles -- 1.9 Conclusion -- Future Perspectives -- References -- Chapter 2 Object Detection and Tracking Face Detection and Recognition -- 2.1 Introduction -- 2.2 Motivation -- 2.3 The Basics of Computer Vision
2.3.1 Computer Vision -- 2.3.2 Implementation of Computer Vision -- 2.3.3 Applications of Computer Vision -- 2.3.3.1 Image Processing Technique -- 2.3.3.2 Feature Extraction and Feature Selection Technique -- 2.3.3.3 Object Recognition Algorithm -- 2.4 Face Detection -- 2.4.1 What is Face Detection -- 2.4.2 Techniques for Face Detection -- 2.5 Facial Expression -- 2.5.1 Facial Recognition -- 2.5.2 Information About Face -- 2.5.3 Algorithms -- 2.6 Object Detection -- 2.6.1 Object Tracking -- 2.6.2 Algorithms Used in Object Detection -- 2.7 Face Detection and Identification in Practical Situations
2.7.1 Face Detection -- 2.7.2 Face Detection and Identification in Real-World Situations -- 2.8 Future Direction in Object Detection and Tracking -- 2.8.1 Future Plans for Object Tracking and Detection -- 2.8.1.1 Multiobject Tracking -- 2.8.2 3D Object Tracking and Detection -- 2.8.3 Real-Time Performance -- 2.9 Conclusion -- References -- Chapter 3 Printing Organs with 3D Technology -- 3.1 Introduction -- 3.2 Bioprinting in Three Dimensions (3D) -- 3.3 3D Printing Types -- 3.3.1 Inkjet Bioprinting -- 3.3.2 Microextrusion Bioprinting -- 3.3.3 Laser-Assisted Printing -- 3.3.4 Stereolithography
3.3.5 3D Bioprinting Materials and Cells -- 3.4 Applications for 3D Printing in Cells -- 3.4.1 Blood Vessels -- 3.4.2 Liver -- 3.4.3 Cartilage -- 3.4.4 Muscle -- 3.4.5 Bone -- 3.4.6 Skin -- 3.4.7 Neutralization of Neurons -- 3.4.8 Pancreas -- 3.5 New Developments -- 3.6 Progress in India -- 3.7 Limitation -- 3.8 A Future Point of View -- 3.9 Conclusion -- References -- Chapter 4 Comparative Evaluation of Machine Learning Algorithms for Bank Fraud Detection -- 4.1 Introduction -- 4.2 Proposed Framework -- 4.3 Results -- 4.4 Concluding Remarks and Future Scope -- References
Abstract:
A comprehensive book providing high-quality research addressing challenges in theoretical and application aspects of soft computing and machine learning in image processing and computer vision. Researchers are working to create new algorithms that combine the methods provided by CI approaches to solve the problems of image processing and computer vision such as image size, noise, illumination, and security. The 19 chapters in this book examine computational intelligence (CI) approaches as alternative solutions for automatic computer vision and image processing systems in a wide range of applications, using machine learning and soft computing. Applications highlighted in the book include: diagnostic and therapeutic techniques for ischemic stroke, object detection, tracking face detection and recognition; computational-based strategies for drug repositioning and improving performance with feature selection, extraction, and learning; methods capable of retrieving photometric and geometric transformed images; concepts of trading the cryptocurrency market based on smart price action strategies; comparative evaluation and prediction of exoplanets using machine learning methods; the risk of using failure rate with the help of MTTF and MTBF to calculate reliability; a detailed description of various techniques using edge detection algorithms; machine learning in smart houses; the strengths and limitations of swarm intelligence and computation; how to use bidirectional LSTM for heart arrhythmia detection; a comprehensive study of content-based image-retrieval techniques for feature extraction; machine learning approaches to understanding angiogenesis; handwritten image enhancement based on neutroscopic-fuzzy. Audience The book has been designed for researchers, engineers, graduate, and post-graduate students wanting to learn more about the theoretical and application aspects of soft computing and machine learning in image processing and computer vision.
Local Note:
John Wiley and Sons
Genre:
Electronic Access:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394230952Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 599305-1001 | TA1637 .I58 2024 | Searching... | Searching... |