Intelligent and Fuzzy Systems : Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference, Volume 1 / / edited by Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, A. Cagrı Tolga, Irem Ucal Sari |
Autore | Kahraman Cengiz |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (788 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
Cevik OnarSezi
CebiSelcuk OztaysiBasar TolgaA. Cagrı Ucal SariIrem |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Engineering - Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence |
ISBN | 3-031-70018-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Mathematical Modelling and Fuzzy Logic -- Chapter 2. Extreme Learning Machine – a New Machine Learning Paradigm -- Chapter 3. A New Mandatory-Optional Bipolar Model of Decision Making in a Fuzzy Environments -- Chapter 4. Games, fuzzy measures, indices, and explainable ML: exploiting the game -- Chapter 5. Fuzzy Performance Measurement: A Literature Review -- Chapter 6. Evaluation of business intelligence tools for thelogistics sector with hesitant fuzzy hybrid MCDM methods -- Chapter 7. Investigating Smart City Applications: A Case Study from İstanbul -- Chapter 8. Fermatean fuzzy TOPSIS method based on prospect theory -- Chapter 9. New Multi Criteria Decision Making Methodology EFEE under Uncertainty on Paris City Micromobility -- Chapter 10. Threshold Aggregation of Fuzzy Data Using Fuzzy Cardinalities of a Set of Fuzzy Estimates -- Chapter 11. A Collaborative Decision-Making Framework in Humanitarian Logistics -- Chapter 12. Integrating Fuzzy AHP and TOPSIS for Optimal Air Fryer Selection: A Consumer-Centric Approach -- Chapter 13. A Comparative Analysis of Classical AHP, Fuzzy AHP, and Z-Fuzzy AHP Methods for Flood Risk Assessment in Büyükçekmece District -- Chapter 14. Fuzzy evaluation of stakeholders' aspects in water resources management -- Chapter 15. Sustainability Performance Evaluation in Faculties: A COPRAS-Based Assessment -- Chapter 16. Evaluating the Coherence and Diversity inAI-Generated and Paraphrased Scientific Abstracts: A Fuzzy Topic Modeling Approach -- Chapter 17. Automatic Target Generation for ElectronicData Interchange using Sequence-to-Sequence Models -- Chapter 18. Artificial Intelligence Enriching Contributionsfrom Multiple Perspectives in Ancient Text Analysis -- Chapter 19. Identifying and Mitigating Bias in AI-Generated Image Datasets for Better Cognitive Understanding -- Chapter 20. Comparative Analysis of Large Language Models in Source Code Analysis...etc. |
Record Nr. | UNINA-9910886082803321 |
Kahraman Cengiz | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent and Fuzzy Systems : Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference, Volume 2 / / edited by Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, A. Cagrı Tolga, Irem Ucal Sari |
Autore | Kahraman Cengiz |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (812 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
Cevik OnarSezi
CebiSelcuk OztaysiBasar TolgaA. Cagrı Ucal SariIrem |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Engineering - Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence |
ISBN | 3-031-67195-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. A Bibliometric and Trend Analysis on Impact of Fuzzy Logic in Industry 4.0 -- Chapter 2. Analyzing the industry 5. adoption barriers in the pharmaceutical sector using an integrated Fuzzy MCDM methodology: A case study application for Turkey -- Chapter 3. Fuzzy Analysis of Ground Humidity Sensor Readings on a Crop Area Managed Using IoT-Technology -- Chapter 4. Intelligent Illumination: Fuzzy Logic Applications in IoT Driven Lighting Solutions -- Chapter 5. Fuzzy Logic and Cybersecurity: An Intelligent Shield in the Digital Age -- Chapter 6. A Text Mining Procedure for Recognizing the Awareness of Industry 4.0 and digitalization perceptions in Construction Industry -- Chapter 7. Additive Manufacturing: Fuzzy Logic Strategies In The Manufacturing Of The Future -- Chapter 8. Share of Local Assortments in Revenue for a Large Scale National Food Retailer : Assessment of Long and Short Time Series Patterns -- Chapter 9. Benchmarking Retrieval Augmented Generation in Quantitative Finance -- Chapter 10. Evaluating the Economic Viability of Solid Waste Recy cling Facilities: A Stochastic Approach Using Monte Carlo Simulation -- Chapter 11. Navigating Economic Uncertainty: A Fuzzy Logic Approach -- Chapter 12. Novel Stochastic Methods for Intelligent European Options Valuation -- Chapter 13. Detecting anomalies in data using Z-numbers -- Chapter 14. A fuzzy approach to macroeconomic stability -- Chapter 15. A Bibliometric Analysis on Fuzzy Approaches in Finan cial Management -- Chapter 16. Financial Performance Evaluation of Leading Retail Companies in BIST Utilizing Decomposed Fuzzy TOPSIS -- Chapter 17. Intelligent Automated Control in Accordance with Resource Efficiency Criteria Toward Circular Economy Transition -- Chapter 18. Measuring the effectiveness of the online education sys tem through DEA -- Chapter 19. Selection of Carrier Services for E-Commerce: CINFUS AHP Methodology for Optimal Decision -- Chapter 20. An Intelligent System for Ranking E-Commerce Customer Reviews to Boost Engagement -- Etc... |
Record Nr. | UNINA-9910886086303321 |
Kahraman Cengiz | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Intelligent and Fuzzy Systems : Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference, Volume 3 / / edited by Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, A. Cagrı Tolga, Irem Ucal Sari |
Autore | Kahraman Cengiz |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (753 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
Cevik OnarSezi
CebiSelcuk OztaysiBasar TolgaA. Cagrı Ucal SariIrem |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Engineering - Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence |
ISBN | 3-031-67192-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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... |
Record Nr. | UNINA-9910886089903321 |
Kahraman Cengiz | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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