[Book] Anomaly Detection Technology Using Machine Learning (No. 2181BOD)
2181 Anomaly Detection
Technical Specialized Books - Factories/Plants, Infrastructure Equipment, Appearance Inspection, Medical, Electrical Equipment, In-Vehicle Equipment
Book Title: A Collection of Techniques and Use Cases for "Anomaly Detection" Using Machine Learning and Deep Learning －－－－－－－－－－－－－－－－－－－－－ ★ Detailed explanation of the characteristics, advantages, disadvantages, and appropriate selection and usage of machine learning and anomaly detection methods! ★ How to address issues such as "explanation of judgment basis," "collection of abnormal data," "misjudgment," and "reliability of training data"! －－－－－－－－－－－－－－－－－－－－－ ■ Key Points of This Book 1. How to reduce the burden of data collection and dataset creation! 2. How to collect and process data for feature extraction! 3. The black box problem of AI! 4. How to consider quality assurance for AI! 5. Building condition monitoring and maintenance in factories and plants! 6. Diagnostic and control methods for machines using physical models and digital twins! 7. Early detection of defects and remaining life estimation methods for rotating machinery! 8. Specific examples of anomaly detection and life prediction in extrusion machines! 9. Evaluation of deterioration and anomalies in social infrastructure! 10. Key points for digitizing and automating visual inspections! 11. Anomaly detection in the medical field and its applications! 12. Anomaly detection in automobiles and intrusion detection in in-vehicle networks!
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■ Table of Contents Chapter 1: Basic Knowledge and Key Points of Machine Learning and Deep Learning Necessary for Anomaly Detection Chapter 2: Development of Explainable Artificial Intelligence and How to Implement and Utilize It Chapter 3: Quality Considerations and Verification Techniques for AI (Machine Learning) Chapter 4: How to Implement IoT and AI in Factories and Plants for Anomaly Detection and Fault Prediction Systems Chapter 5: Anomaly Detection in Infrastructure Equipment Using IoT and AI Chapter 6: Anomaly Detection Techniques Using Deep Learning and Their Application in Visual Inspection Chapter 7: Medical Applications of Machine Learning and Attempts at Anomaly Detection Chapter 8: Anomaly Detection in Electrical Equipment and In-Vehicle Devices －－－－－－－－－－－－－－－－－－－－－－－－－－ ● Published: December 27, 2022 ● Authors: 70 people ● Format: A4 size, 560 pages Hardcover Edition: Price: 88,000 yen (tax included) ISBN: 978-4-86104-913-2 ↓↓ The hardcover edition is out of print ↓↓ On-Demand Edition Available Price: 44,000 yen (tax included) ISBN: 978-4-86798-077-4 After receiving your order, we will perform simple printing and binding. －－－－－－－－－－－－－－－－－－－－－－－－－－
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44,000 yen (including tax) [shipping included]
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