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1. |
Record Nr. |
UNISA990000462270203316 |
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Autore |
BRAMBILLA, Francesco |
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Titolo |
3.: Statistica psicosociologia / Francesco Brambilla |
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Pubbl/distr/stampa |
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Torino : Unione tipografica editrice torinese, 1972 |
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Descrizione fisica |
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VII, 546 p. : ill. ; 24 cm |
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Disciplina |
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Soggetti |
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Collocazione |
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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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2. |
Record Nr. |
UNINA9910437856503321 |
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Titolo |
Leaping ahead : advances in prosimian biology / / Judith Masters, Marco Gamba, Fabien Genin, editors |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (410 p.) |
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Collana |
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Developments in primatology : progress and prospects |
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Altri autori (Persone) |
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MastersJudith |
GambaMarco |
GeninFabien |
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Disciplina |
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Soggetti |
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Prosimians |
Wildlife conservation |
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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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Nota di contenuto |
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pt. 1. Systematics and evolution -- pt. 2. General ecology -- pt. 3. Behavioral ecology -- pt. 4. Dietary ecology -- pt. 5. Physiological ecology -- pt. 6. Sensory ecology, communication and cognition -- pt. 7. Conservation of prosimians. |
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Sommario/riassunto |
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Leaping Ahead: Advances in Prosimian Biology presents a summary of the state of prosimian biology as we move into the second decade of the 21st century. The book covers a wide range of topics, from assessments of diversity and evolutionary scenarios, through ecophysiology, cognition, behavioral and sensory ecology, to the conservation and survival prospects of this extraordinary and diverse group of mammals. The book highlights the passion prosimian researchers feel for their study subjects and with their deep concern for the future of prosimians in the face of ongoing habitat destruction and the burgeoning threat of bushmeat hunting. Chapters for this volume were contributed by researchers from across the globe; they attest to the diversity, vibrancy and rapid growth of prosimian biology, and to the intellectual advances that have revolutionized this field in recent years. Since its earliest beginnings, prosimian research and its resultant literature have had a strong francophone component, and researchers in many prosimian habitat countries are more comfortable reading and writing in French rather than English. French summaries of all chapters have been included. The volume is targeted at researchers, both those entering the field and established scientists, who have an interest in the biology of primates and small mammals. It is also aimed at conservation biologists seeking a deeper understanding of the faunas and conservation developments in Africa, Madagascar and Southeast Asia, and anyone who has an interest in discovering the true diversity of our order, the Primates. . |
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3. |
Record Nr. |
UNINA9910484702303321 |
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Autore |
Božek Pavol |
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Titolo |
Diagnostics of Mechatronic Systems / / by Pavol Božek, Yury Nikitin, Tibor Krenický |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (79 pages) : illustrations |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 345 |
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Disciplina |
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Soggetti |
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Mechatronics |
Artificial intelligence |
Dynamics |
Nonlinear theories |
Artificial Intelligence |
Applied Dynamical Systems |
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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. |
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Nota di contenuto |
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The basics characteristics of elements reliability -- Methods, models, algorithms for diagnostics of mechatronic systems -- Model systems for diagnosticing of mechatronic objects -- Appendix. |
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Sommario/riassunto |
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This book provides novel approach to the diagnosis of complex technical systems that are widely used in various kinds of transportation, energy, metallurgy, metalworking, fuels, mining, chemical, paper industries, etc. Effective diagnostic systems are necessary for the early detection of errors in mechatronic systems, for the organization of maintenance and for the assessment of the performed service quality. Unfortunately, the practical use of AI in the diagnosis of mechatronic systems is still quite limited and the inability to build effective mechatronic systems leads to significant economic losses and dangers. The main aim of this book is to contribute to knowledge within the topic of diagnostics of mechatronic systems by the analysis of the elements reliability characteristics, using methods, models and algorithms for diagnostics and by studying examples of |
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model diagnostic systems using AI methods based on neural networks, fuzzy inference systems and genetic algorithms. . |
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