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[null,"1.","Record Nr.",null,"UNINA9911006829503321"]
[null,null,"Autore",null,"Liu Huimin <1961->"]
[null,null,"Titolo",null,"Science and engineering of droplets : fundamentals and applications / / by Huimin Liu"]
[null,null,"Pubbl/distr/stampa",null,"Park Ridge, N.J., : Noyes Publications"]
[{"$nulls":4},"Norwich, N.Y., : William Andrew Pub., c2000"]
[null,null,"ISBN",null,"1-282-02741-7"]
[{"$nulls":4},"9786612027413"]
[{"$nulls":4},"0-8155-1894-3"]
[{"$nulls":4},"1-282-73771-6"]
[{"$nulls":4},"9786612737718"]
[{"$nulls":4},"9786612027406"]
[{"$nulls":4},"1-59124-270-3"]
[null,null,"Descrizione fisica",null,"1 online resource (541 p.)"]
[null,null,"Disciplina",null,"530.427"]
[{"$nulls":4},"620/.43"]
[{"$nulls":4},"620.43"]
[null,null,"Soggetti",null,"Spraying"]
[{"$nulls":4},"Atomization"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 451-507) and index."]
[null,null,"Nota di contenuto",null,"Front Cover; Science and Engineering of Droplets: Fundamentals and Applications; Copyright Page; Contents; Chapter 1 General Introduction; Chapter 2 Processes and Techniques for Droplet Generation; 2.1.0 ATOMIZATION OF NORMAL LIQUIDS; 2.2.0 ATOMIZATION OF MELTS; Chapter 3 Fundamental Phenomena and Principles in Droplet Processes; 3.1.0 DROPLET FORMATION; 3.2.0 DROPLET DEFORMATION ON A SURFACE; Chapter 4 Empirical and Analytical Correlations of Droplet Properties; 4.1.0 CONCEPT AND DEFINITIONS OF DROPLET SIZE DISTRIBUTION; 4.2.0 CORRELATIONS FOR DROPLET SIZES OF NORMAL LIQUIDS"]
[{"$nulls":4},"4.3.0 CORRELATIONS FOR DROPLET SIZES OF MELTS4.4.0 CORRELATIONS FOR DROPLET DEFORMATION CHARACTERISTICS ON A SURFACE; Chapter 5 Theoretical Calculations and Numerical Modeling of Droplet Processes; 5.1.0 ENERGY REQUIREMENTS AND EFFICIENCY; 5.2.0 MODELING OF DROPLET PROCESSES OF NORMAL LIQUIDS; 5.3.0 "]
[{"$nulls":4},"MODELING OF DROPLET PROCESSES OF MELTS; 5.4.0 MODELING OF DROPLET DEFORMATION ON A SURFACE; Chapter 6 Measurement Techniques for Droplet Properties and Intelligent Control of Droplet Processes; 6.1.0 MEASUREMENT TECHNIQUES FOR DROPLET SIZE; 6.2.0 MEASUREMENT TECHNIQUES FOR DROPLET VELOCITY"]
[{"$nulls":4},"6.3.0 MEASUREMENT TECHNIQUES FOR DROPLET NUMBER DENSITY6.4.0 MEASUREMENT TECHNIQUES FOR DROPLET TEMPERATURE; 6.5.0 MEASUREMENT TECHNIQUES FOR DROPLET DEFORMATION ON A SURFACE; 6.6.0 INTELLIGENT CONTROL OF DROPLET PROCESSES; References; Index"]
[null,null,null,"Sommario/riassunto","This is the first book to encompass the fundamental phenomenon, principles, and processes of discrete droplets of both normal liquids and melts. It provides the reader with the science and engineering of discrete droplets, and provides researchers, scientists and engineers with the latest developments in the field. The book begins with a systematic review of various processes and techniques, along with their applications and associations with materials systems. This is followed by a description of the phenomena and principles in droplet processes. Correlations, calculations, and numerical mode"]
[null,"2.","Record Nr.",null,"UNINA9911015962803321"]
[null,null,"Autore",null,"Qian Kun"]
[null,null,"Titolo",null,"Proceedings of the 11th Conference on Sound and Music Technology : Revised Selected Papers from CSMT 2024 / / edited by Kun Qian, Li Zhou, Qinglin Meng, Yongwei Gao"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"981-9647-83-5"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (171 pages)"]
[null,null,"Collana",null,"Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1404"]
[null,null,"Disciplina",null,"621.382"]
[null,null,"Soggetti",null,"Speech processing systems"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Acoustical engineering"]
[{"$nulls":4},"Music - Mathematics"]
[{"$nulls":4},"Music theory"]
[{"$nulls":4},"Speech and Audio Processing"]
[{"$nulls":4},"Engineering Acoustics"]
[{"$nulls":4},"Mathematics in Music"]
[{"$nulls":4},"Theory of Music"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Meta-Learning for Domain Generalization in Anomalous Sound Detection -- 2. Online Joint Beat and Downbeat Tracking with Time Series Forecasting Model -- 3. Advancing Metadata-Convolutional Neural Networks with Multi-Supervised Contrastive Learning and Metadata Insights for Respiratory Sound Analysis -- 4. Automatic Performative Transcription of Guitar Music Based on Multimodal Network -- 5. A Framework for the Digital Representation and Rendering of Chinese Jianpu Notation for Constructing a Synthetic OMR Dataset -- 6. Accent Recognition with Auxiliary Task and Contrastive Learning -- 7. Effective Denoising in Music-Present Pubs with Efficient Channel Attention -- 7. Semi-Supervised Self-Learning Enhanced Music Emotion Recognition."]
[null,null,null,"Sommario/riassunto","This book presents selected papers at the 11th Conference on Sound and Music Technology (CSMT) held in October 2024, Wuhan, China. CSMT is a multidisciplinary conference focusing on audio processing and understanding with bias on music and acoustic signals. The "]
[{"$nulls":4},"primary aim of the book is to promote the collaboration between art society and technical society in China. In this book, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning, and signal processing for advanced medical diagnosis and treatment applications, which demonstrates the target of CSMT merging arts and science research together. Its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI). ."]