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1. |
Record Nr. |
UNINA9910786840203321 |
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Autore |
Gillett John |
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Titolo |
Acting on impulse : reclaiming the Stanislavski approach : a practical workbook for actors / / John Gillett ; cover design by Andrew Evans ; illustrations by Jannis Labelle |
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Pubbl/distr/stampa |
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London, England : , : Methuen Drama, , 2007 |
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©2007 |
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ISBN |
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Descrizione fisica |
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1 online resource (321 p.) |
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Disciplina |
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Soggetti |
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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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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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""A manual full of enabling, easing exercises - it will enable you to analyse any scene. The cry of the actor at sea `I don''t know what I''m doing'' should, with this book, become a thing of the past'' Sam West ""I''d recommend this book to anyone wanting an introduction to Stanislavksi or Michael Chekhov or acting in general."" Matt Peover, LAMDA trainer and theatre director. ""Contains all the important things that need to be said about learning to act...in an extremely logical and sensible manner."" Simon Dunmore, Editor Actor''s Yearbook An inspiring and technically thorough practica |
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2. |
Record Nr. |
UNINA9910585789203321 |
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Titolo |
Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2022 / / edited by Rashmi Ranjan Rout, Soumya Kanti Ghosh, Prasanta K. Jana, Asis Kumar Tripathy, Jyoti Prakash Sahoo, Kuan-Ching Li |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : 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 (712 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 427 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Machine learning |
Artificial intelligence |
Computational Intelligence |
Machine Learning |
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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Fog Computing Paradigm for Internet of Things: Architectures, Issues, Challenges and Applications -- Security and Challenges for Blockchain Integrated Fog Enabled IoT Applications -- MLP Deep Learning Based DDoS Attack Detection Framework for Fog Computing -- Active VM Placement Approach Based on Energy Efficiency in Cloud Environment -- Security Enhancement in Cloud Environment using Modified Key Based Crypto Method -- RFID-Based Authentication Scheme for Secure Access of Medical Data in IoT-Enabled Health Environments -- FML Framework: Function Triggered ML-as-a-Service for IoT Cloud Applications -- A New Approach for Processing Raster Geospatial Big Data in Distributed Environment -- An Efficient Service Selection Algorithm for Cloud Computing -- Transaction and QoS-Driven Composition of Web Services using Modified Grey Wolf Optimization with TOPSIS and AHP. |
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Sommario/riassunto |
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This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in |
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Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. |
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