LEADER 00936nam0-22003131i-450- 001 990006938260403321 005 20010723 010 $a0-8102-0410-X 035 $a000693826 035 $aFED01000693826 035 $a(Aleph)000693826FED01 035 $a000693826 100 $a20010723d1971----km-y0itay50------ba 101 1 $aeng$cfre$cger 102 $aUS$aGB$aCA 105 $ay-------001yy 200 1 $a<>Philosopher and the State$efrom Hooker to Popper$fJean H. Faurot 210 $aSan Francisco$aScranton$aLondon$aToronto$cChandler Publishing Company$dc1971 215 $aXIII, 482 p.$d24 cm 225 1 $aChandler Publications in Philosophy 676 $a340$v20$zita 700 1$aFaurot,$bJean H.$0255446 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006938260403321 952 $aXI G 287$b103347$fFGBC 959 $aFGBC 996 $aPhilosopher and the State$9628724 997 $aUNINA LEADER 00817nam0-22002651i-450- 001 990006182440403321 005 19980601 035 $a000618244 035 $aFED01000618244 035 $a(Aleph)000618244FED01 035 $a000618244 100 $a19980601d1972----km-y0itay50------ba 105 $a--------00-yy 200 1 $a<>AUSTRIAN Federal Constitution$ethe federal Constitution as revised in 1929 and other important constitutional provisions including...$ftranslated by Charles Kessler. 210 $aWien$cManzsche$d1972 215 $a138 pp.$d20 cm 676 $a348.9436 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006182440403321 952 $aI D 522$b104144$fFGBC 959 $aFGBC 996 $aAUSTRIAN Federal Constitution$9646655 997 $aUNINA DB $aGIU01 LEADER 03259nam 2200529 450 001 996339124903316 005 20230803205106.0 010 $a0-7494-7042-9 035 $a(CKB)3710000000238830 035 $a(SSID)ssj0001351326 035 $a(PQKBManifestationID)12597717 035 $a(PQKBTitleCode)TC0001351326 035 $a(PQKBWorkID)11301504 035 $a(PQKB)11195357 035 $a(MiAaPQ)EBC5255524 035 $a(EXLCZ)993710000000238830 100 $a20180222h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aClean tech, clean profits $eusing effective innovation and sustainable business practices to win in the new low-carbon economy /$fconsultant editor, Adam Jolly 205 $aSecond edition. 210 1$aLondon, England ;$aPhiladelphia, Pennsylvania ;$aNew Delhi, India :$cKogan Page,$d2014. 210 4$d©2014 215 $a1 online resource (246 pages) $cillustrations, map 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-7494-7041-0 320 $aIncludes bibliographical references and indexes. 330 $a"Through a combination of innovation and regulation, the script for how the world's economies operate is being totally rewritten. Cleaner and greener technologies are playing an increasing role in global business -- and while there will be costs involved adapting to those technologies, there are also opportunities for business which are capable of commercializing them.From carbon capture to new sources of renewable energy, the overall potential of this shift is enormous, as evidenced by the amount of private capital and public funds looking for clean technologies in which to invest.Clean Tech, Clean Profits is designed as a practical guide for entrepreneurs, innovators and investors on how to bring clean technologies to market in the most effective and profitable manner. It covers topics such as funding clean tech, renewable power generation, clean energy in emerging economies, intellectual property for clean tech, geo-engineering, the shift to low carbon vehicles, waste management, technology challenges, innovation opportunities, and wind, marine, solar and biomass energy.Emphasizing the specific steps that can be taken now in reviewing options, drawing up plans, upgrading a process, writing a specification, or making an investment, this book is ideal for leaders of organizations who want to move ahead of their competitors and offer new sources of value to their customer"--$cProvided by publisher. 606 $aBusiness enterprises$xEnvironmental aspects 606 $aStrategic planning$xEnvironmental aspects 606 $aTechnological innovations$xEnvironmental aspects 615 0$aBusiness enterprises$xEnvironmental aspects. 615 0$aStrategic planning$xEnvironmental aspects. 615 0$aTechnological innovations$xEnvironmental aspects. 676 $a658.4/083 686 $aBUS094000$aBUS063000$aBUS025000$2bisacsh 702 $aJolly$b Adam 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996339124903316 996 $aClean tech, clean profits$92400602 997 $aUNISA LEADER 01785nas 2200385 n 450 001 990008893300403321 005 20240229084305.0 011 $a0797-8774 035 $a000889330 035 $aFED01000889330 035 $a(Aleph)000889330FED01 035 $a000889330 091 $2CNR$aP 00011197 100 $a20161109b19261965km-y0itaa50------ba 101 0 $aspa 110 $aauu-------- 200 1 $aAnales del Museo de Historia Natural de Montevideo 207 1$a1926-1965 210 $aMontevideo$cMuseo de Historia Natural 430 0$1001000889332$12001$aAnales del Museo Nacional de Montevideo 440 0$12001$aAnales del Museo Nacional de Historia Natural de Montevideo 530 0 $aAnales del Museo de Historia Natural de Montevideo 675 $a502 675 $a500.9 712 02$aMuseo de Historia Natural de Montevideo 801 0$aIT$bACNP$c20090723 859 4 $uhttp://acnp.cib.unibo.it/cgi-ser/start/it/cnr/dc-p1.tcl?catno=5123&person=false&language=ITALIANO&libr=&libr_th=unina1$zBiblioteche che possiedono il periodico 901 $aSE 912 $a990008893300403321 958 $aBiblioteca del Dipartimento di Entomologia e Zoologia Agraria dell'Universitą degli Studi di Napoli Federico II$b1926-1965.$fDAGEN 959 $aDAGEN 996 $aAnales del Museo de Historia Natural de Montevideo$9801613 997 $aUNINA AP1 8 $6866-01$aNA219 Biblioteca del Dipartimento di Entomologia e Zoologia Agraria dell'Universitą degli Studi di Napoli Federico II$eVia Universitą, 100, 80055 Portici (NA)$m0812539188$m0817755145$nit AP2 40$aacnp.cib.unibo.it$nACNP Italian Union Catalogue of Serials$uhttp://acnp.cib.unibo.it/cgi-ser/start/it/cnr/df-p.tcl?catno=5123&language=ITALIANO&libr=&person=&B=1&libr_th=unina&proposto=NO LEADER 01178nam0 22002891i 450 001 UON00388949 005 20231205104602.652 100 $a20110225d1967 |0itac50 ba 101 $asan 102 $aIN 105 $a|||| ||||| 200 1 $aAbhidharm-Koshabhas?ya of Vasubandhu $fedited by P. 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Jayaswal Research Institute$3UONV250519$4650 801 $aIT$bSOL$c20250711$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00388949 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI SI VII B 391 N $eSI SA 128653 5 391 N 996 $aAbhidharm-Koshabhas?ya of Vasubandhu$91355139 997 $aUNIOR LEADER 03871nam 2200913z- 450 001 9910557610303321 005 20220321 035 $a(CKB)5400000000045299 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/79633 035 $a(oapen)doab79633 035 $a(EXLCZ)995400000000045299 100 $a20202203d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational Optimizations for Machine Learning 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (276 p.) 311 08$a3-0365-3186-6 311 08$a3-0365-3187-4 330 $aThe present book contains the 10 articles finally accepted for publication in the Special Issue "Computational Optimizations for Machine Learning" of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networks and artificial intelligence. 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It is hoped that the book will be interesting and useful to those developing mathematical algorithms and applications in the domain of artificial intelligence and machine learning as well as for those having the appropriate mathematical background and willing to become familiar with recent advances of machine learning computational optimization mathematics, which has nowadays permeated into almost all sectors of human life and activity. 606 $aMathematics & science$2bicssc 606 $aResearch & information: general$2bicssc 610 $aARIMA model 610 $aartificial intelligence 610 $aautoencoders 610 $abed roughness 610 $abio-inspired algorithms 610 $aCNN architecture 610 $acomputational intelligence 610 $aconvolutional neural network 610 $adeep compression 610 $adeep learning 610 $adeep neural networks 610 $aDNN 610 $aenergy dissipation 610 $aevolution of weights 610 $aevolutionary algorithms 610 $aevolutionary computation 610 $afeature selection 610 $afloating-point numbers 610 $aFLOW-3D 610 $ageneralization error 610 $agenetic algorithms 610 $ahardware acceleration 610 $aHeating, Ventilation and Air Conditioning (HVAC) 610 $ahydraulic jumps 610 $alow power 610 $amachine learning 610 $ameta-heuristic optimization 610 $ametaheuristics search 610 $amodel predictive control 610 $amulti-objective optimization 610 $anature inspired algorithms 610 $aneural networks 610 $anonlinear systems 610 $aonline model selection 610 $aonline optimization 610 $aprecipitation nowcasting 610 $aquantization 610 $aradar data 610 $arecurrent neural networks 610 $aReLU 610 $asensitivity analysis 610 $asmart building 610 $asoft computing 610 $aswarm intelligence 610 $atime series analysis 610 $atraining 615 7$aMathematics & science 615 7$aResearch & information: general 700 $aGabbay$b Freddy$4edt$01304465 702 $aGabbay$b Freddy$4oth 906 $aBOOK 912 $a9910557610303321 996 $aComputational Optimizations for Machine Learning$93027447 997 $aUNINA