Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings (Lecture Notes in Computer Science, 14078) - Softcover
Synopsis
The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. These articles cater to the most contemporary and happening topics in the fields of AI that range from Intelligent Recommendation Systems, Game Theory, Computer Vision, Reinforcement Learning, Social Networks, and Generative AI to Conversational and Large Language Models.
They are organized into four areas of research: Theoretical contributions, Cognitive Computing models, Computational Intelligence based algorithms, and AI Applications.
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Multi-disciplinary Trends in Artificial Intelligence (eng)
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Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings (Lecture Notes in Computer Science, 14078)
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Multi-disciplinary Trends in Artificial Intelligence
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Springer Nature Switzerland, Springer Nature Switzerland Jun 2023, 2023
ISBN 10: 3031364015
ISBN 13: 9783031364013
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. These articles cater to the most contemporary and happening topics in the fields of AI that range from Intelligent Recommendation Systems, Game Theory, Computer Vision, Reinforcement Learning, Social Networks, and Generative AI to Conversational and Large Language Models.They are organized into four areas of research: Theoretical contributions, Cognitive Computing models, Computational Intelligence based algorithms, and AI Applications. 812 pp. Englisch. Seller Inventory # 9783031364013
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Multi-disciplinary Trends in Artificial Intelligence
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. These articles cater to the most contemporary and happening topics in the fields of AI that range from Intelligent Recommendation Systems. Seller Inventory # 877456010
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Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21?22, 2023, Proceedings: 14078
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Multi-disciplinary Trends in Artificial Intelligence | 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings
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Taschenbuch. Condition: Neu. Multi-disciplinary Trends in Artificial Intelligence | 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings | Raghava Morusupalli (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxi | Englisch | 2023 | Springer | EAN 9783031364013 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 126986803
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Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21?22, 2023, Proceedings: 14078
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Multi-disciplinary Trends in Artificial Intelligence
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ISBN 13: 9783031364013
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Digital Life: An Advent of Transhumanism.- Traveling Salesperson Problem.- Double-Stack BERT: Utilizing BERT to Extract Sentence Relation Feature for A Content-Based Filtering System.- Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings.- How Good are Transformers in Reordering .- Automatic Differentiation Using Dual Numbers - Use Case.- On some properties of a new PoisN wavelet family.- Centrality Measures based Heuristics for Perfect Awareness Problem in Social Networks.- Re-examining Class Selectivity in Deep Convolutional Networks.- Content Based Network Representational Learning for Movie Recommendation (CNMovieRec).- Parallel and Distributed Query Processing in Attributed Networks.- Gradient Directional Predictor for Reconstructing High-Fidelity Images.- We chased COVID-19; Did we forget Measles - public discourse and sentiment analysis on spiking Measles cases using natural language processing.- We chased COVID-19; Did we forget Measles - public discourse and sentiment analysis on spiking Measles cases using natural language processing.- A Review on Designing of Memory Computing Architecture for Image Enhancement in AI Applications.- An Effective Technique for Recommendation System in E-Learning by User Preferences.- A Multi-modal Approach using Game Theory for Android Forensics Tool Selection.- LPCD: Incremental Approach for Dynamic Networks.- Clinical Abbreviation Disambiguation using clinical variants of Transformers architecture BERT.- Ontological Scene Graph Engineering and Reasoning over YOLO objects for creating panoramic VR content.- Incremental Classifier in the Semi Supervised Learning Environment.- Alzheimer's Detection and Prediction on MRI Scans: A Comparative Study.- Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting.- A Blockchain-driven Framework forIssuance of NFT-based Warranty to Customers on E-commerce.- Using Machine Learning Models to Predict Corporate Credit Outlook.- Visualization Recommendation for Incremental Data based on Intent.- Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results.- Artificial Intelligence as a Service: Providing Integrity and Confidentiality.- Live Bidding Application: Predicting Shill Bidding Using Machine Learning.- A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network.- EFFICIENT TRAJECTORY CLUSTERING OF MOVEMENTS OF MOVING OBJECTS.- Node Cooperation Enforcement Scheme for enhancing Quality of Service in MANETs using Machine Learning Approach.- Interpreting Chest X-Ray Classification Models: Insights and Complexity Measures in Deep Learning.- Nuclei Segmentation Approach for Computer Aided Diagnosis.- Stock Market Intraday Trading using ReinforcementLearning.- Predicting the Droughts Using Artificial Neural Networks - A Case Study.- Applying machine learning for portfolio switching decisions.- Bark texture classification using deep transfer learning.- Dynamic Twitter Topic Summarization using Speech Acts.- Generative Adversarial Network for Augmenting Low-Dose CT Images.- Improving Software Effort Estimation with Heterogeneous Stacked Ensemble Using SMOTER over ELM and SVR base Learners.- A Deep Learning based Model to study the influence of different brain wave frequencies for the disorder of depression.- Planning Strategy of BDI Agents for Crowd Simulation.- Design and Development of Walking Monitoring System for Gait Analysis.- Stock market Investment Strategy using: Artificial Intelligence Deep-Q-Learning Network.- A survey onSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 812 pp. Englisch. Seller Inventory # 9783031364013
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Multi-disciplinary Trends in Artificial Intelligence : 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings
Published by
Springer Nature Switzerland, Springer Nature Switzerland, 2023
ISBN 10: 3031364015
ISBN 13: 9783031364013
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. These articles cater to the most contemporary and happening topics in the fields of AI that range from Intelligent Recommendation Systems, Game Theory, Computer Vision, Reinforcement Learning, Social Networks, and Generative AI to Conversational and Large Language Models.They are organized into four areas of research: Theoretical contributions, Cognitive Computing models, Computational Intelligence based algorithms, and AI Applications. Seller Inventory # 9783031364013
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