Intelligent and Fuzzy Systems

Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference, Volume 3

AvCengiz Kahraman,Sezi Cevik Onar

Häftad, Engelska, 2024

Del 1090 i serien Lecture Notes in Networks and Systems

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Beskrivning

This book presents recent research in intelligent and fuzzy techniques on Intelligent Industrial Informatics and Efficient Networks.

Produktinformation

Utgivningsdatum:2024-08-28
Mått:155 x 235 x 42 mm
Vikt:1 153 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Networks and Systems
Antal sidor:755
Förlag:Springer International Publishing AG
ISBN:9783031671913

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

Chapter 1. Uncovering Business Accounts among Retail Shoppers: Insights from Supermarket Transactions Using an Intelligent Decision Support System.- Chapter 2. Beyond the Scent: A Holistic NLP Study of the Fragrance World.- Chapter 3. Forecasting Market Clearing Prices in Electricity Markets with Time Series Based Machine Learning Models.- Chapter 4. Hepatitis C Diagnosis Using Computational Intelligence Techniques.- Chapter 5. Navigating the Technological Frontier: Machine Learning Infused with Fuzzy Logic for Control System Advancements.- Chapter 6. Exploring the Intersection of Fuzzy Logic and Machine Learning: Applications and Advancements.- Chapter 7. Effective Feature Extraction and Classification Method for Backlash Anomaly in Missiles via Machine Learning.- Chapter 8. Estimation of Kolmogorov-Chaitin Complexity on Continuous Biomedical Data for Machine Learning Purposes.- Chapter 9. Intelligent Pricing with Clarity: Interpretable AI for Customer-Centric Time Deposit Interest Rates.- Chapter 10. A Machine Learning System that Detects Abnormal Level of Inventory.- Chapter 11. Machine Learning-based Demand Forecasting for an FMCG Retailer.- Chapter 12. Improving Heart Disease Diagnosis: An Ensemble Machine Learning Approach.- Chapter 13. Application of Supervised Machine Learning Models with Inter Simple Sequence Repeat Markers for Prediction of Grass Speci.- Chapter 14. HR Analytics in Retail: Predicting Employee Churn with Machine Learning.- Chapter 15. Machine Learning and Ensemble Learning Techniques for Intrusion Detection Systems: A Performance Analysis based on Feature Selection Methods.- Chapter 16. Development of Digital Twin for Reciprocating Compressor using Machine Learning methodic.- Chapter 17. Clinical Case Report Generation using Machine Learning based on two PICO Transformer Approaches.- Chapter 18. A Novel Framework of Smart Security System based on Machine Learning Techniques.- Chapter 19. Implementing a Smart Low-Cost System for Diagnosing Bacteria in Women.-Chapter 20. Application of Tree-Based Intelligence Methods for Wind Speed Estimation at the East of Lake Urmia.- Etc...