LEADER 01037cam1-22003251i-450- 001 990007493170403321 005 20160929140205.0 035 $a000749317 035 $aFED01000749317 035 $a(Aleph)000749317FED01 035 $a000749317 100 $a20030814g18211826km-y0itay50------ba 101 0 $aita 200 1 $aRaccolta d'autori italiani che trattano del moto dell'acque. Tomo 1. [-10.] 205 $aEdizione quarta arricchita di molte cose inedite e d'alcuni schiarimenti 210 $aBologna$cdalla tipografia di Jacopo Marsigli$d1821-1826 215 $a10 v.$cill., calcogr., ripieg.$d4° 300 $aIl front. generale della raccolta è seguito dal front. particolare dei singoli v. 610 0 $aIdrologia 610 0 $aItalia$aAcque 610 0 $aIdrologia fluviale 620 $aItalia.$dBologna 676 $a551.483$zita 719 00$aMarsigli,$gJacopo$4650 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aAQ 912 $a990007493170403321 959 $aILFGE 959 $aFINBC 997 $aUNINA LEADER 05173nam 22006735 450 001 9910482964403321 005 20220127161618.0 010 $a981-15-0199-8 024 7 $a10.1007/978-981-15-0199-9 035 $a(CKB)4100000010348573 035 $a(MiAaPQ)EBC6040139 035 $a(DE-He213)978-981-15-0199-9 035 $a(PPN)243766890 035 $a(EXLCZ)994100000010348573 100 $a20200208d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Evolutionary Computations in Engineering Systems /$fedited by Subhransu Sekhar Dash, C. Lakshmi, Swagatam Das, Bijaya Ketan Panigrahi 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (781 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v1056 311 $a981-15-0198-X 327 $aAutomatic Generation Control Using Novel PD plus FOPI Controller Tuned By Salp Swarm Algorithm -- Plant Disease Identification and Detection Using Support Vector Machines and Artificial Neural Networks -- Efficiency Comparison and Analysis of Pseudo-Random Generators in Network Security -- A Detailed Analysis of Intruders? Activities in the Network through the Real-Time Virtual Honeynet Experimentation -- Global and Local Signed Pressure Force Functions Active Contour Model Based on Entropy -- Optimization of Big Data Using Rough Set Theory and Data Mining for Textile Applications -- Machine Learning Based Device for Visually Impaired Person -- Forest Cover Classification Using Stacking Of Ensemble Learning and Neural Networks -- Predicting the Trends of Price for Ethereum Using Deep Learning Techniques -- Development of a Novel Embedded Board: Canduino -- Sales Demand Forecasting using Lstm Network -- Privacy Enhanced Emotion Recognition Approach for Remote Health Advisory System -- An Effective Approach for Plant Monitoring, Classification and Prediction Using Iot and Machine Learning -- Encrypted Transfer of Confidential Information Using Steganography and Identity Verification Using Face Data -- Intelligent Wireless Sensor Networks for Precision Agriculture -- Mining Of Removable Closed Patterns in Goods Dataset -- Comparative Analysis and Performance of D-STATCOM Device Using PI and Second Order Sliding Mode Control -- Stock Market Prediction Using Long Short Term Memory -- Dragonfly Algorithm for Optimal Allocation of D-STATCOM in Distribution Systems -- SRF Control Algorithm for Five Level Cascaded H-Bridge D-STATCOM in Single Phase Distribution System. 330 $aThis book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v1056 606 $aComputational intelligence 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aWireless communication systems 606 $aMobile communication systems 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aWireless and Mobile Communication$3https://scigraph.springernature.com/ontologies/product-market-codes/T24100 615 0$aComputational intelligence. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 14$aComputational Intelligence. 615 24$aSignal, Image and Speech Processing. 615 24$aWireless and Mobile Communication. 676 $a006.3 702 $aDash$b Subhransu Sekhar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLakshmi$b C$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDas$b Swagatam$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPanigrahi$b Bijaya Ketan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910482964403321 996 $aArtificial Intelligence and Evolutionary Computations in Engineering Systems$91541531 997 $aUNINA