01931nam 2200445 450 00001736620051026091104.020040426d1996----km-y0itay0103----baitaIT----m--------<<Il>> profilo metabolico della pecora gravida e in lattazione allevata al pascolo ed in ovileTesi di dottoratodottorando: Giuseppe Galeonetutore: Raffaele Celicoordinatore: Piero MasinaPotenza[1996]1 v. (varie sequenze)30 cm.Tesi di dottorato: Università della Basilicata, Dipartimento di scienze delle produzioni animali, Dottorato di ricerca in scienze zootecniche, 7. cicloPecoreRicambioAnimaliNutrizione571.1(21. ed.)Fisiologia e soggetti connessi. Animali636.3(21. ed.)Allevamento di animali. Piccoli ruminanti. PecoreGaleone,Giuseppe442359ITUniversità della Basilicata - B.I.A.RICAunimarc000017366Profilo metabolico della pecora gravida e in lattazione allevata al pascolo ed in ovile85102UNIBASAGRARIATORRE2020040426BAS011544TORRE2020040427BAS011122TORRE2020040427BAS011215TORRE2020040428BAS011032TORRE2020040430BAS011112TORRE2020040430BAS01111320050601BAS011756batch0120050718BAS01105320050718BAS01111220050718BAS01114220050718BAS011156TTM3020050922BAS011501TTM3020051026BAS010911BAS01BAS01BOOKBASA2Polo Tecnico-ScientificoTDOTesi di DottoratoTDA.7c.GG118530-102005101098Consultazione03715nam 22006375 450 991052376800332120251113203100.03-030-83620-710.1007/978-3-030-83620-7(MiAaPQ)EBC6812326(Au-PeEL)EBL6812326(CKB)19919166000041(OCoLC)1286660795(DE-He213)978-3-030-83620-7(PPN)258840307(EXLCZ)991991916600004120211126d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHandbook of Artificial Intelligence in Healthcare Vol 2: Practicalities and Prospects /edited by Chee-Peng Lim, Yen-Wei Chen, Ashlesha Vaidya, Charu Mahorkar, Lakhmi C. Jain1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (429 pages) illustrations (some color)Intelligent Systems Reference Library,1868-4408 ;212Print version: Lim, Chee Peng Handbook of Artificial Intelligence in Healthcare Cham : Springer International Publishing AG,c2022 9783030836191 Intelligent paradigms for diagnosis, prediction and control in healthcare applications -- Artificial intelligence in healthcare practice: How to tackle the “human” challenge -- A statistical analysis handbook for validating artificial intelligence techniques applied in healthcare.Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will providereaders a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans.Intelligent Systems Reference Library,1868-4408 ;212Computational intelligenceBiomedical engineeringArtificial intelligenceMedical informaticsComputational IntelligenceBiomedical Engineering and BioengineeringArtificial IntelligenceHealth InformaticsComputational intelligence.Biomedical engineering.Artificial intelligence.Medical informatics.Computational Intelligence.Biomedical Engineering and Bioengineering.Artificial Intelligence.Health Informatics.610.285Chee Peng LimMiAaPQMiAaPQMiAaPQBOOK9910523768003321Handbook of artificial intelligence in healthcare2885436UNINA