Esame di alcune regolarizzazioni delle portate di piena dei corsi d'acqua sardi / Guglielmo Torre

• Record Nr.: UNINA990001768950403321
• Autore: Torre, Guglielmo
• Pubbl/distr/stampa: Sassari : [s.n.], 1971
• Descrizione fisica: 11 p. ; 24 cm
• Disciplina: 551.48
• Locazione: FAGBC; DINED
• Collocazione: 60 OP. 86/37; MM 171
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Estr. da: Bollettino della Società Sarda di Scienze Naturali, Vol. 9(1971).

The art of art therapy : what every art therapist needs to know / / Judith A. Rubin

• Record Nr.: UNINA9910789405603321
• Autore: Rubin Judith Aron
• Pubbl/distr/stampa: New York : , : Routledge, , 2011
• ISBN: 1-135-90056-6; 1-283-24153-6; 1-135-90057-4; 9786613241535; 0-203-89384-0
• Edizione: [2nd ed.]
• Descrizione fisica: 1 online resource (290 p.)
• Disciplina: 616.89/1656
• Soggetti: Art therapy
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: (Publisher-supplied data) 1. Knowing Materials -- 2. Knowing Processes -- 3. Knowing Products -- 4. Knowing Development -- 5. Knowing Dynamics & Deviations -- 6. Knowing Therapy -- 7. Knowing Art Therapy -- 8. Setting the Stage -- 9. Evoking Expression -- 10. Enabling Creation -- 11. Facilitating Reflection -- 12. Working Artfully 13. Different Populations -- 14. Different Settings -- 15. Different Modes -- 16. Knowing Teaching -- 17. Knowing Supervision -- 18. Knowing consultation -- 19. Knowing Research -- 20. Knowing Theory.
• Sommario/riassunto: "The Art of Art Therapy, first published in 1984, was written primarily to help art therapists first define and then refine a way of thinking about their work. This new edition contains thoroughly revised material that reflects the significant expansion of the field of art therapy in the period since the book was first written. Specifically, this second edition invites the reader to first consider closely the main elements of the discipline embodied in its name: The Art Part and The Therapy Part. Chapters dealing with each of these topics comprise the first two sections of the book. The third section, The Interface, contains chapters dealing with putting the two together in an integrated way, i.e. Doing ; Art Therapy (step-by-step) and doing it Artistically. Included with this edition is a DVD containing chapter related video content"--Provided by publisher.

Advanced Machine Intelligence and Signal Processing / / edited by Deepak Gupta, Koj Sambyo, Mukesh Prasad, Sonali Agarwal

• Record Nr.: UNINA9910580150803321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
• ISBN: 981-19-0840-0
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (859 pages)
• Collana: Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 858
• Disciplina: 006.31
• Soggetti: Computational intelligence; Machine learning; Telecommunication; Signal processing; Computational Intelligence; Machine Learning; Communications Engineering, Networks; Signal, Speech and Image Processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Leukocyte Subtyping using Convolutional Neural Networks for Enhanced Disease Prediction -- Comparative analysis of novel approaches to automated COVID-19 detection using radiography images -- OXGBoost: An Optimized eXtreme Gradient Boosting Algorithm for Classification of Breast Cancer -- An Empirical Study on Graph-based Clustering Algorithms using Schizophrenia Genes -- Traffic Rule Violation Detection System: Deep Learning Approach -- A Web Application for Early Prediction of Diabetes Using Artificial Neural Network -- Web based disease prediction system via machine learning approach.
• Sommario/riassunto: This book covers the latest advancements in the areas of machine ; learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).