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[null,"1.","Record Nr.",null,"UNINA9910795448303321"]
[null,null,"Autore",null,"Boogren Tina"]
[null,null,"Titolo",null,"The beginning teacher's field guide : embarking on your first years / / Tina H. Boogren"]
[null,null,"Pubbl/distr/stampa",null,"Bloomington, Indiana : , : Solution Tree Press, , [2018]"]
[{"$nulls":4},"�2018"]
[null,null,"ISBN",null,"1-945349-57-3"]
[null,null,"Descrizione fisica",null,"1 online resource (xi, 141 pages)"]
[null,null,"Collana",null,"Gale eBooks"]
[null,null,"Disciplina",null,"371.102"]
[null,null,"Soggetti",null,"First year teachers"]
[{"$nulls":4},"Teaching"]
[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,"ch. 1. The anticipation phase -- ch. 2. The survival phase -- ch. 3. The disillusionment phase -- ch. 4. The rejuvenation phase -- ch. 5. The reflection phase -- ch. 6. The second anticipation phase."]
[null,null,null,"Sommario/riassunto","This book examines the personal side of teaching, offering advice, empathy, and new-teacher support. It details six phases every new teacher goes through--anticipation, survival, disillusionment, rejuvenation, reflection, and second anticipation--and outlines targeted classroom-management strategies and self-care practices for each."]
[null,"2.","Record Nr.",null,"UNINA9910483400603321"]
[null,null,"Titolo",null,"Computational Vision and Bio-Inspired Computing : ICCVBIC 2019 / / edited by S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas, Abdullah M. Iliyasu"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-37218-9"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (1,435 pages)"]
[null,null,"Collana",null,"Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1108"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Computer Vision"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such "]
[{"$nulls":4},"as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications. ."]