LEADER 02608nam 2200649 a 450 001 9910465382803321 005 20200520144314.0 010 $a0-19-756307-4 010 $a1-283-58895-1 010 $a9786613901408 010 $a0-19-983802-X 035 $a(CKB)2560000000092805 035 $a(EBL)1019510 035 $a(OCoLC)809198090 035 $a(SSID)ssj0000711335 035 $a(PQKBManifestationID)12258775 035 $a(PQKBTitleCode)TC0000711335 035 $a(PQKBWorkID)10693500 035 $a(PQKB)10243114 035 $a(MiAaPQ)EBC1019510 035 $a(StDuBDS)EDZ0002341854 035 $a(Au-PeEL)EBL1019510 035 $a(CaPaEBR)ebr10597112 035 $a(CaONFJC)MIL390140 035 $a(EXLCZ)992560000000092805 100 $a20110921d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGlaucoma$b[electronic resource] /$f[edited by] Deepak P. Edward, Thasarat S. Vajaranant 210 $aOxford $cOxford University Press$d2013 215 $a1 online resource (253 p.) 225 0$aOxford American ophthalmology library 300 $aPreviously issued in print: 2013. 311 $a0-19-975708-9 320 $aIncludes bibliographical references and index. 327 $aIntraocular pressure measure -- Gonioscopy -- Visual field testing -- Optic nerve examination -- Imaging -- Intra-ocular inflammation and glaucoma -- Trauma and glaucoma emergencies -- Management of glaucoma following intraocular procedures -- Evidence-based guidelines in management of glaucoma -- Medical management for glaucoma -- Laser treatment for glaucoma -- Surgical management for glaucoma -- Management of surgical complications -- New surgical techniques. 330 8 $aThis text provides clear and detailed guidelines on the diagnosis and treatment of glaucoma. Coverage spans the entire spectrum of glaucoma, including descriptions of traditional and newly emerging modalities available for glaucoma diagnosis and management. 410 0$aOxford American ophthamology library. 410 0$aOxford scholarship online. 606 $aGlaucoma$xDiagnosis 606 $aGlaucoma$xTreatment 608 $aElectronic books. 615 0$aGlaucoma$xDiagnosis. 615 0$aGlaucoma$xTreatment. 676 $a617.741 701 $aEdward$b Deepak P$0919517 701 $aVajaranant$b Thasarat S$0919518 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465382803321 996 $aGlaucoma$92062388 997 $aUNINA LEADER 03610nam 22006255 450 001 9910735781803321 005 20230719192312.0 010 $a9789811999482 010 $a9811999481 024 7 $a10.1007/978-981-19-9948-2 035 $a(MiAaPQ)EBC30657018 035 $a(Au-PeEL)EBL30657018 035 $a(DE-He213)978-981-19-9948-2 035 $a(PPN)272250732 035 $a(CKB)27675024800041 035 $a(OCoLC)1390922281 035 $a(EXLCZ)9927675024800041 100 $a20230719d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimising the Software Development Process with Artificial Intelligence /$fedited by José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (349 pages) 225 1 $aNatural Computing Series,$x2627-6461 311 08$aPrint version: Romero, José Raúl Optimising the Software Development Process with Artificial Intelligence Singapore : Springer Singapore Pte. Limited,c2023 9789811999475 327 $aIntroduction -- Artificial Intelligence in Software Project Management -- Requirements Engineering -- Leveraging Artificial Intelligence for Model-based Software Analysis and Design -- Statistical Models and Machine Learning to Advance Code Completion -- Cloud development and deployment -- Automated Support for Unit Text Generation: A Tutorial Book Chapter -- Artificial Intelligence Techniques in System Testing -- Intelligent Software Maintenance -- Metaheuristics in a nutshell -- Foundations of Machine Learning for Software Engineering. 330 $aThis book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples. Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering. 410 0$aNatural Computing Series,$x2627-6461 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aMachine learning 606 $aArtificial Intelligence 606 $aSoftware Engineering 606 $aMachine Learning 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aMachine learning. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aMachine Learning. 676 $a005.1028563 700 $aRomero$b José Raúl$01379061 701 $aMedina-Bulo$b Inmaculada$01379062 701 $aChicano$b Francisco$01362823 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910735781803321 996 $aOptimising the Software Development Process with Artificial Intelligence$93418539 997 $aUNINA