LEADER 00885nam0 22002531i 450 001 UON00232682 005 20231205103509.976 100 $a20030730d1922 |0itac50 ba 101 $agre 102 $aGR 105 $a|||| 1|||| 200 1 $aˆE ‰goessa ton Athenon$eromantzo$fTymphrestou 210 $aAthenai$cGaniares$d1922 215 $a139 p.$d16 cm. 620 $aGR$dAtene$3UONL000203 676 $a889$cLetteratura greca moderna$v21 700 0$aTYMPHRESTOS$3UONV158581$0687416 712 $aGaniares$3UONV271715$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00232682 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI GRECO FONDO ZORAS 0132 $eSI EO 34512 5 0132 996 $aGoessa ton Athenon$91233589 997 $aUNIOR LEADER 03046nam 2200757z- 450 001 9910566457503321 005 20220506 035 $a(CKB)5680000000037806 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81109 035 $a(oapen)doab81109 035 $a(EXLCZ)995680000000037806 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aWater and Wastewater Treatment 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (112 p.) 311 08$a3-0365-3481-4 311 08$a3-0365-3482-2 330 $aThis book presents an introductory editorial paper and publications referring to current problems and challenges in the field of wastewater treatment. The published articles cover a wide range of topics (reducing the concentration of hydrogen sulfide in biogas and decreasing release of phosphate into a sludge liquor at WWTPs; water ecosystem protection from antibiotics through the use of AOP methods; tertiary wastewater treatment in bio-filtration systems assisted by the addition of hydrogen peroxide to stimulate microbial activity; odor removal using biological methods; the impact of WWTPs on the environment by taking into account energy consumption, noise, and the formation of bioaerosols; and odor nuisances), which show significant progress in the research and implementation of innovative solutions in wastewater treatment technology. 606 $aResearch & information: general$2bicssc 610 $aAOPs 610 $aassessment of ecotoxicity 610 $abiodegradation 610 $abiogas 610 $adenitrification 610 $aenhanced phosphorus removal 610 $aenvironment 610 $aenvironmental aspects 610 $aenvironmental impact assessment 610 $aenvironmental management system 610 $afluoroquinolones 610 $agreen building 610 $aH2S 610 $ahigh resolution mass spectrometry 610 $ahigh-rate biofiltration 610 $ahydrogen peroxide 610 $ahydrogen sulfide 610 $aIC50 610 $aimpact 610 $alife-cycle assessment 610 $amanagement tool 610 $aMIC 610 $an/a 610 $aNH3 610 $anitrification 610 $aodors 610 $aphosphates precipitation 610 $aQSAR 610 $awaste ochre 610 $awastewater technology 610 $awastewater treatment plant 615 7$aResearch & information: general 700 $aBarbusin?ski$b Krzysztof$4edt$01326285 702 $aThomas$b Maciej$4edt 702 $aFilipek$b Krzysztof$4edt 702 $aBarbusin?ski$b Krzysztof$4oth 702 $aThomas$b Maciej$4oth 702 $aFilipek$b Krzysztof$4oth 906 $aBOOK 912 $a9910566457503321 996 $aWater and Wastewater Treatment$93037265 997 $aUNINA LEADER 02067nam 2200445z- 450 001 9910346774803321 005 20210211 010 $a1000051503 035 $a(CKB)4920000000100775 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40109 035 $a(oapen)doab40109 035 $a(EXLCZ)994920000000100775 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources 210 $cKIT Scientific Publishing$d2016 215 $a1 online resource (XIII, 231 p. p.) 225 1 $aKarlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik 311 08$a3-7315-0467-7 330 $aIn this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement learning control methods. Experimental results prove that these advanced control methods can effectively reduce the final temperature derivations and improve the temperature homogeneity. 606 $aTechnology: general issues$2bicssc 610 $aBesta?rkendes Lernenmicrowave heating 610 $aKu?nstliches neuronales Netz 610 $aMehrgro?ßenregelung 610 $aMikrowellenerwa?rmung 610 $amodel predictive control (MPC) 610 $aModellpra?diktive Regelung 610 $amultiple-input multiple-output (MIMO) 610 $aneural network 610 $areinforcement learning 615 7$aTechnology: general issues 700 $aSun$b Yiming$4auth$01322416 906 $aBOOK 912 $a9910346774803321 996 $aAdaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources$93034975 997 $aUNINA