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[null,"1.","Record Nr.",null,"UNINA9910633962603321"]
[null,null,"Titolo",null,"Fundamental research and application of droplet dynamics / / edited by Hongliang Luo"]
[null,null,"Pubbl/distr/stampa",null,"London : , : IntechOpen, , 2022"]
[null,null,"ISBN",null,"1-80355-961-6"]
[null,null,"Descrizione fisica",null,"1 online resource (166 pages)"]
[null,null,"Disciplina",null,"530.4275"]
[null,null,"Soggetti",null,"Drops"]
[{"$nulls":4},"Dynamics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Introductory Chapter: Droplet Formation and Evolution -- 2. Imaging Diagnostics for Jet Breakup into Droplets: A Review -- 3. Behaviors of Multi-Droplets Impacting on a Flat Wall -- 4. Interaction and Transport of Liquid Droplets in Atmospheric Pressure Plasmas (APPs) -- 5. Bioinspired Smart Surfaces and Droplet Dynamics-A Brief Review -- 6. Internal Flow and Spray Dynamics of Multi-Hole Nozzle."]
[null,null,null,"Sommario/riassunto","This book examines the fundamental research and application of droplet dynamics. It includes six chapters in four sections. Section 1 introduces the concepts of droplet dynamics in powertrain systems. Section 2 reviews the optical methods for investigations in droplet dynamics. Section 3 examines the fundamental research on liquid droplet behaviors, such as droplet impact in internal combustion engines and the movement of liquid droplets in atmospheric pressure plasmas. Finally, Section 4 deals with the application of droplet behaviors not only in spray and combustion but also in bioinspired smart surfaces. The information contained herein is useful for engineers and students looking to broaden their knowledge of droplet behaviors and dynamics, especially for their development and application in low-carbon engines."]
[null,"2.","Record Nr.",null,"UNINA9910842498103321"]
[null,null,"Titolo",null,"Computer Science in Sport : Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data / / edited by Daniel Memmert"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783662683132"]
[{"$nulls":4},"366268313X"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (247 pages)"]
[null,null,"Disciplina",null,"796.07"]
[null,null,"Soggetti",null,"Sports sciences"]
[{"$nulls":4},"Recreation - Equipment and supplies"]
[{"$nulls":4},"Artificial intelligence - Data processing"]
[{"$nulls":4},"Medical informatics"]
[{"$nulls":4},"Quantitative research"]
[{"$nulls":4},"Sport Science"]
[{"$nulls":4},"Sport Analytics"]
[{"$nulls":4},"Sport Technology"]
[{"$nulls":4},"Data Science"]
[{"$nulls":4},"Health Informatics"]
[{"$nulls":4},"Data Analysis and Big Data"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"I HISTORY -- History -- II DATA -- Artificial data -- Text data -- Video data -- Event data -- Position data -- Online data -- III MODELING -- Modeling -- Predictive models -- Physiological modeling -- IV SIMULATION -- Simulation -- Metabolic simulation -- Simulation of physiological adaptation processes -- V PROGRAMMING LANGUAGES -- An introduction to the programming language R for beginners -- Phyton -- VI DATA ANALYSIS -- Logistic Regression -- Time Series Data Mining -- Process Mining -- Networks Centrality -- Artificial Neural Networks -- Deep Neural Networks -- Convolutional Neural Networks -- Transfer Learning -- Random Forest -- Statistical learning for the modeling of soccer matches -- Open-Set Recognition -- VII VISUALIZATION -- Visualization – Basics and Concepts -- VIII OUTLOOK -- Outlook. ."]
[null,null,null,"Sommario/riassunto","In recent years, computer science in sport has grown extremely, mainly because more and more new data has become available. Computer science tools in sports, whether used for opponent preparation, competition, or scientific analysis, have become indispensable across various levels of expertise nowadays. A completely new market has emerged through the utilization of these tools in the four major fields of application: clubs and associations, business, science, and the media. This market is progressively gaining importance within university research and educational activities. This textbook aims to live up to the now broad diversity of computer science in sport by having more than 30 authors report from their special field and concisely summarise the latest findings. The book is divided into four main sections: data sets, modelling, simulation and data analysis. In addition to background information on programming languages and visualisation, the textbook is framed by history and an outlook. Students with a connection to sports science are given a comprehensive insight into computer science in sport, supported by a didactically sophisticated concept that makes it easy to convey the learning content. Numerous questions for self-testing underpin the learning effect and ensure optimal exam preparation. For advanced students, the in-depth discussion of time series data mining, artificial neural networks, convolution kernels, transfer learning and random forests offers additional value. The Editor Prof. Dr Daniel Memmert is the executive director and professor at the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne. He is the editor and author of numerous textbooks with a focus on exercise science, sports psychology and informatics. His institute organises two certificate programmes (Game Analysis Team Cologne / Sports Director in Youth and Amateur Soccer) as well as the first international Master's degree programme \"Match Analysis\"."]