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1. |
Record Nr. |
UNINA9910709605403321 |
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Autore |
Hughes Robert F. |
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Titolo |
Meteor trains / / by Robert F. Hughes |
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Pubbl/distr/stampa |
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Washington, D.C. : , : Smithsonian Institution, , 1959 |
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Descrizione fisica |
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1 online resource (pages 79-94) : illustraions |
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Collana |
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Smithsonian contributions to astrophysics ; ; volume 3, number 8 |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references (page 94). |
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2. |
Record Nr. |
UNINA9910983355803321 |
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Titolo |
Hybrid Artificial Intelligent Systems : 19th International Conference, HAIS 2024, Salamanca, Spain, October 9–11, 2024, Proceedings, Part II / / edited by Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove Pérez, José Luis Calvo Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez Álvarez, Álvaro Herrero, Paolo Fosci |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (318 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 14858 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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HAIS Applications -- Identification and behaviour pattern recognition of |
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cows in intensive and extensive farms using intelligent collars and dimensional reduction techniques -- A supervised clustering approach for subrole discovery in a multiplayer online battle arena game -- Evaluating the Privacy and Security Implications of AI Based Medical Chatbots on Android Platforms -- A Graph Data Model Creation Methodology for Accident Hotspot Prediction in Urban Areas -- HAIS Energy Applications -- A New Ensemble with Partition Size Variation Applied to Wind Speed Time Series -- BatNoiseDL Discrimination of bat signals through an ensemble of deep learning models -- Missing meteorological data imputation for mini eolic electrical power prediction -- Characterization of water consumers in urban areas based on data visualization techniques -- Image and Text Processing -- GenAI Powered Analysis of GIS App Privacy Policies for GDPR Compliance -- An in depth analysis of jailbreaking through domain characterization of LLM training sets -- Reframing Detector specific Prompt Tuning for Enhancing Open Vocabulary Object Detection -- Leveraging Retrieval Augmented Generation for reliable medical question answering using Large Language Models -- Satellite Guided Herding Optimizing Pasture Selection for Efficient Livestock Management -- Establishing the Foundation for Out of Distribution Detection in Monument Classification Through Nested Dichotomies -- A Preliminary Study on Preprocessing the Semantic Space in Zero Shot Learning -- Lexicon Annotation with LLM a proof of concept with ChatGPT -- Enhancing RAG Retrieval to Improve LLMs Robustness and Resilience to Hallucinations -- VIPER Vision based system to detect potential predators for herding with robots -- Common Sense Plan Verification with Large Language Models -- Reinforced Learning -- Reinforcement Learning for Dynamic Trajectory Adjustment in Human Robot Interaction within Virtual Simulations -- Artificial Intelligence in Portfolio Selection Problem A Review and Future Perspectives -- Networked Independent Reinforcement Learners Playing an Evolutionary Game -- Unity Based Autonomous Driving Environment A Platform for Validating Reinforcement Learning Agents -- Using Federated Learning Techniques to generalize Reinforcement Learning approaches. |
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Sommario/riassunto |
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This two-part proceedings volume constitutes the refereed proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024), held in Salamanca, Spain, during October 9–11, 2024. The 52 full papers were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Part I: Biomedical Applications, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization. Part II: HAIS Applications, HAIS Energy Applications, Image and Text Processing, Reinforced Learning. |
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3. |
Record Nr. |
UNINA9910734825603321 |
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Titolo |
Hybrid Artificial Intelligent Systems : 17th International Conference, HAIS 2022, Salamanca, Spain, September 5–7, 2022, Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (523 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13469 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Social sciences - Data processing |
Data mining |
Artificial Intelligence |
Computer Application in Social and Behavioral Sciences |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in EEG Signals -- Smartwatch sleep-tracking services precision evaluation using supervised domain adaptation -- Tracking and Classification of Features in the Bio-inspired Layered Networks -- Frailty related survival risks at short and middle term of older adults admitted to hospital -- On the analysis of a real dataset of COVID-19 patients in Alava -- Indoor access control system through symptomatic examination using IoT technology, fog computing and cloud computing -- Measuring the quality information of sources of cybersecurity by multi-criteria decision making techniques -- A case of study with the Clustering R library to measure the quality of cluster algorithms. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 17th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2022, held in Salamanca, Spain, in September 2022. The 43 full papers and 0 short papers presented in this book were carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: bioinformatics; data mining and decision support systems; deep learning; evolutionary computation; HAIS applications; image and speech signal processing; and optimization techniques. |
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