LEADER 00828nam0-22003011i-450- 001 990007471510403321 005 20071122091238.0 035 $a000747151 035 $aFED01000747151 035 $a(Aleph)000747151FED01 035 $a000747151 100 $a20030814d1958----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>Manifattura tabacchi di Roma 210 $aRoma$cA.Be.T.E.$d1958 215 $a56 p.$d32 cm 610 0 $aRoma$aManifattura tabacchi 610 0 $aItalia$aIndustria 710 01$aAmministrazione autonoma dei monopoli di Stato$03012 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007471510403321 952 $aB-It 0028$bI.G.823$fILFGE 959 $aILFGE 996 $aManifattura tabacchi di Roma$9674457 997 $aUNINA LEADER 04407nam 2201357z- 450 001 9910595067103321 005 20231214133338.0 035 $a(CKB)5680000000080862 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/92033 035 $a(EXLCZ)995680000000080862 100 $a20202209d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Transformation in Healthcare 210 $aBasel$cMDPI Books$d2022 215 $a1 electronic resource (260 p.) 311 $a3-0365-4869-6 311 $a3-0365-4870-X 330 $aThis book presents a collection of papers revealing the impact of advanced computation and instrumentation on healthcare. It highlights the increasing global trend driving innovation for a new era of multifunctional technologies for personalized digital healthcare. Moreover, it highlights that contemporary research on healthcare is performed on a multidisciplinary basis comprising computational engineering, biomedicine, biomedical engineering, electronic engineering, and automation engineering, among other areas. 606 $aMedicine$2bicssc 610 $aeHealth 610 $amHealth 610 $atelemedicine 610 $atelehealth 610 $asocial sciences 610 $abibliometrics 610 $atelediagnostic 610 $aproject management 610 $afunding 610 $aIT infrastructure 610 $across-border multiprofessional team 610 $aEuropean Union 610 $aInterreg 610 $areporting 610 $aquality control 610 $aresident 610 $adiagnostic error 610 $aartificial intelligence 610 $ahealthcare AI 610 $adeployment and scaling 610 $amedical center 610 $acritical factors 610 $astakeholders 610 $ahealth information technology 610 $ainformation sharing 610 $ahospital costs 610 $apoverty ratio 610 $aconcentration 610 $acontinuous glucose monitoring 610 $ainsulin pump 610 $acontinuous subcutaneous insulin infusion 610 $apediatric diabetes 610 $abiomedical data 610 $amedical imaging 610 $ashared data 610 $amassive databases 610 $aAI-based healthcare solutions 610 $atrueness 610 $a3D printing 610 $amilling 610 $ainterim dental crown 610 $adigital dentistry 610 $adental device 610 $adata mining 610 $abio-signal analysis 610 $abio-signal repository 610 $aexecution engine 610 $abio-signal monitoring 610 $adigital healthcare 610 $apatient-centric 610 $ablockchain 610 $afederated learning 610 $acoronavirus (COVID-19) 610 $apandemic management 610 $ahealthcare transformation 610 $apublic health strategies 610 $astroke detection 610 $aportable head scanner 610 $alow-intensity EM waves 610 $aintrinsically safe 610 $alow carbon footprint 610 $aorthodontic treatment 610 $aclear aligners 610 $asmart application 610 $aAI 610 $acomputerized learning 610 $abehavior change techniques 610 $adecision tree algorithm 610 $adigital interventions 610 $amental health literacy 610 $aaudiovisual 610 $adentistry 610 $acomputer-controlled local anesthetic delivery 610 $aultrasounds 610 $achemomechanical caries removal 610 $amodern technologies 610 $alaser 610 $aozone 610 $ahealthcare 610 $aemergency department 610 $apatient flow 610 $asimulation modeling 610 $aagent-based modeling 610 $apandemic decision support 610 $aadditive manufacturing 610 $apatient-centric dosage form 615 7$aMedicine 700 $aSoares dos Santos$b Marco P$4edt$01328469 702 $aSoares dos Santos$b Marco P$4oth 906 $aBOOK 912 $a9910595067103321 996 $aDigital Transformation in Healthcare$93038574 997 $aUNINA LEADER 04387nam 22007815 450 001 9910495191303321 005 20251202140923.0 010 $a3-030-72102-7 024 7 $a10.1007/978-3-030-72102-2 035 $a(CKB)4100000011999338 035 $a(DE-He213)978-3-030-72102-2 035 $a(MiAaPQ)EBC6706902 035 $a(Au-PeEL)EBL6706902 035 $a(OCoLC)1264472336 035 $a(PPN)257354174 035 $a(EXLCZ)994100000011999338 100 $a20210817d2021 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgricultural Cybernetics /$fby Yanbo Huang, Qin Zhang 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XIV, 255 p. 111 illus., 94 illus. in color.) 225 1 $aAgriculture Automation and Control,$x2731-3506 311 08$a3-030-72101-9 320 $aIncludes bibliographical references and index. 327 $aPreface -- Introduction -- Mathematics, Statistics and Representations for Cybernetic Systems -- Control and Communication Characteristics of Agricultural Production Systems -- Modeling of Crop Production Systems and System Characterization -- Control Theory and Agricultural Production -- Control of Agricultural production Systems -- Mearning from the Data -- Outlook and Summary Remarks -- Bibliography -- Index. 330 $aAgricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory. 410 0$aAgriculture Automation and Control,$x2731-3506 606 $aAgriculture 606 $aControl engineering 606 $aFood science 606 $aCooperating objects (Computer systems) 606 $aEngineering$xData processing 606 $aMachine learning 606 $aAgriculture 606 $aControl and Systems Theory 606 $aFood Science 606 $aCyber-Physical Systems 606 $aData Engineering 606 $aMachine Learning 615 0$aAgriculture. 615 0$aControl engineering. 615 0$aFood science. 615 0$aCooperating objects (Computer systems). 615 0$aEngineering$xData processing. 615 0$aMachine learning. 615 14$aAgriculture. 615 24$aControl and Systems Theory. 615 24$aFood Science. 615 24$aCyber-Physical Systems. 615 24$aData Engineering. 615 24$aMachine Learning. 676 $a635 676 $a338.16 700 $aHuang$b Yanbo$f1958-$0772193 702 $aZhang$b Qin$f1956- 712 02$aLINK (Online service).$4oth 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495191303321 996 $aAgricultural cybernetics$92841944 997 $aUNINA