[Book] Techniques and Case Studies of "Anomaly Detection" Using Machine Learning (No. 2181)

[Available for preview] ~ Factories, plants, infrastructure facilities, appearance inspection, medical, electrical equipment, automotive equipment ~

Book Title: 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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