LEADER 01387aam 2200373I 450 001 9910710582203321 005 20160426110500.0 024 8 $aGOVPUB-C13-e48c6c5eb7868865c68674fb736744b9 035 $a(CKB)5470000002477472 035 $a(OCoLC)947843894 035 $a(EXLCZ)995470000002477472 100 $a20160426d1984 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 14$aThe thermal response of aircraft cabin ceiling materials during a post-crash, external fuel-spill, fire scenario /$fLeonard Y. Cooper 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d1984. 215 $a1 online resource 225 1 $aNBSIR ;$v84-2912 300 $a1984. 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aTitle from PDF title page. 320 $aIncludes bibliographical references. 700 $aCooper$b Leonard Y$014476 701 $aCooper$b Leonard Y$014476 712 02$aUnited States.$bNational Bureau of Standards. 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910710582203321 996 $aThe thermal response of aircraft cabin ceiling materials during a post-crash, external fuel-spill, fire scenario$93481287 997 $aUNINA LEADER 03962nam 22006495 450 001 9910882887903321 005 20250807153001.0 010 $a3-031-61037-7 024 7 $a10.1007/978-3-031-61037-0 035 $a(MiAaPQ)EBC31619002 035 $a(Au-PeEL)EBL31619002 035 $a(CKB)34332546000041 035 $a(DE-He213)978-3-031-61037-0 035 $a(EXLCZ)9934332546000041 100 $a20240827d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Approaches in Financial Analytics /$fedited by Leandros A. Maglaras, Sonali Das, Naliniprava Tripathy, Srikanta Patnaik 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (485 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v254 311 08$a3-031-61036-9 327 $a -- Part I: Foundations. -- Chapter 1: Introduction to Optimal Execution. -- Part II: Tools and techniques. -- Chapter 2: Python Stack for Design and Visualization in Financial Engineering. -- Chapter 3: Neurodynamic approaches to cardinality-constrained portfolio optimization. -- Chapter 4: Fully Homomorphic Encrypted Wavelet Neural Network for Privacy-Preserving Bankruptcy Prediction in Banks. -- Chapter 5: Tools and Measurement Criteria of Ethical Finance through Computational Finance. -- Chapter 6: Data Mining Techniques for Predicting the Non-Performing Assets (NPA) of Banks in India. -- Chapter 7: Multiobjective optimization of mean-variance-downside-risk portfolio selection models. -- Part III: Risk assessment and ethical considerations. -- Chapter 8: Bankruptcy Forecasting Of Indian Manufacturing Companies Post Ibc Using Machine Learning Techniques. -- Chapter 9: Ensemble Deep Reinforcement Learning for Financial Trading. Part IV: Real-world Applications. -- Chapter 10: Bibliometric Analysis of Digital Financial Reporting. -- Chapter 11: The Quest for Financing Environmental Sustainability in Emerging Nations: Can Internet Access and Financial Technology be Crucial? -- Chapter 12: A comprehensive review of Bitcoin?s energy consumption and its environmental implications, etc. 330 $aThis book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v254 606 $aComputational intelligence 606 $aMachine learning 606 $aFinancial engineering 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aMachine Learning 606 $aFinancial Engineering 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aFinancial engineering. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 24$aFinancial Engineering. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aMaglaras$b Leandros A$01739442 701 $aDas$b Sonali$01713153 701 $aTripathy$b Naliniprava$01766148 701 $aPatnaik$b Srikanta$01429258 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910882887903321 996 $aMachine Learning Approaches in Financial Analytics$94209911 997 $aUNINA