LEADER 04173nam 2200601 450 001 9910797961603321 005 20230807205818.0 010 $a1-61499-609-1 035 $a(CKB)3710000000552113 035 $a(EBL)4309756 035 $a(SSID)ssj0001677959 035 $a(PQKBManifestationID)16486709 035 $a(PQKBTitleCode)TC0001677959 035 $a(PQKBWorkID)15022515 035 $a(PQKB)11443452 035 $a(MiAaPQ)EBC4309756 035 $a(EXLCZ)993710000000552113 100 $a20160125h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLegal knowledge and information systems $eJURIX 2015 : the twenty-eighth annual conference /$fedited by Antonino Rotolo 210 1$aAmsterdam, Netherlands ;$aBerlin, [Germany] ;$aWashington, District of Columbia :$cIOS Press,$d2015. 210 2$aFairfax, Virginia :$cIOS Press, Inc.,$d[date of distribution not identified] 210 4$dİ2015 215 $a1 online resource (212 p.) 225 1 $aFrontiers in Artificial Intelligence and Applications,$x1879-8314 ;$vVolume 279 300 $aDescription based upon print version of record. 311 $a1-61499-608-3 320 $aIncludes bibliographical references and indexes. 327 $aTitle Page; Preface; Conference Organization; Contents; The Power Laws of the Italian Constitutional Court, and Their Relevance for Legal Scholars; Cases and Stories, Dimensions and Scripts; Improvements in Information Extraction in Legal Text by Active Learning; Burden of Compliance and Burden of Violation; Mapping Recitals to Normative Provisions in EU Legislation to Assist Legal Interpretation; Influence and Responsibility: A Logical Analysis; Conditional Permissions in Contracts; The Force of EU Case Law: A Multi-Dimensional Study of Case Citations; Judges Predict Directors? Liability 327 $aA Linked Term Bank of Copyright-Related TermsApplying an Interactive Machine Learning Approach to Statutory Analysis; Temporal Properties of Legal Decision Networks: A Case Study from the International Criminal Court; Explaining Legal Bayesian Networks Using Support Graphs; Representing the Quality of Crime Scenarios in a Bayesian Network; Treaty Texts as Data - Developing New Tools for Negotiators and Litigators to Compare Bilateral Investment Treaties; Comprehensive Framework Embracing the Complexity of Statutory Interpretation 327 $aBusiness Process Management for Legal Domains: Supporting Execution and Management of Preliminary InjunctionsModelling the Law Through Argument Maps: Legal Analysis and Design; On Modeling Cognitive and Affective Factors in Legal Decision-Making; No Match-Making but Biconditionals: Agents and the Role of the State in Legal Relations; Implementation of ECLI - State of Play; Bridging Representations of Laws, of Implementations and of Behaviours; Capturing Critical Questions in Bayesian Network Fragments: Extended Abstract; Two Tools for Prototyping Legal CBR 327 $aPassing a USA National Bar Exam - A First ExperimentPermissions in Deontic Event-Calculus; Annotation of a German Legal Decision Corpus for Argumentation Mining; Towards Meaningful Maps of Polish Case Law; Search and Discovery in Legal Document Networks; Extracting Hohfeldian Relations from Text; The Role of AI & Law in Legal Data Science; A Data Science Environment for Legal Texts; Subject Index; Author Index 410 0$aFrontiers in artificial intelligence and applications ;$vVolume 279. 606 $aLaw$xMethodology$xAutomation$vCongresses 606 $aInformation storage and retrieval systems$xLaw$vCongresses 606 $aArtificial intelligence$vCongresses 615 0$aLaw$xMethodology$xAutomation 615 0$aInformation storage and retrieval systems$xLaw 615 0$aArtificial intelligence 676 $a343.0999 702 $aRotolo$b Antonino 712 12$aJURIX (Conference) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797961603321 996 $aLegal knowledge and information systems$93738834 997 $aUNINA LEADER 04848nam 22007815 450 001 9910647778103321 005 20251008140553.0 010 $a9789811957239 010 $a9811957231 024 7 $a10.1007/978-981-19-5723-9 035 $a(MiAaPQ)EBC7188519 035 $a(Au-PeEL)EBL7188519 035 $a(CKB)26076457200041 035 $a(DE-He213)978-981-19-5723-9 035 $a(PPN)268206430 035 $a(EXLCZ)9926076457200041 100 $a20230201d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning Technologies for the Sustainable Development Goals $eIssues and Solutions in the Post-COVID Era /$fedited by Virender Kadyan, T. P. Singh, Chidiebere Ugwu 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (254 pages) 225 1 $aAdvanced Technologies and Societal Change,$x2191-6861 311 08$a9789811957222 311 08$a9811957223 320 $aIncludes bibliographical references and index. 327 $aHow Deep Learning can help in Regulating the Subscription Economy to Ensure Sustainable Consumption and Production Patterns (12th goal of SDGs) -- Deep Technologies using Big Data in: Energy and Waste Management -- QoS aware service provisioning and resource distribution in 4G/5G heterogeneous networks -- Leveraging Fog Computing for Healthcare -- Intelligent self-tuning control design for wastewater treatment plant based on PID and Model Predictive methods -- Impact of Deep learning models for technology sustainability in tourism using Big data analytics -- Study of UAV Management Using Cloud Based Systems -- Contemporary Role of Blockchain in Industry 4.0 -- SDGs Laid Down by UN 2030 Document -- Healthcare 4P: Systematic Review of Applications of Decentralized Trust using Blockchain Technology -- Implementation of An IOT Based Water And Disaster Management System By Using Hybrid Classification Approach -- Knowledge Representation to Expound Deep -- Learning Black Box -- Ann : Concept And Application In Brain Tumor Segmentation -- Automation Of Brain Tumor Segmentation Using Deep Learning -- Transportation Management using IoT Deep Learning to Predict various Traffic States. 330 $aThis book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development. 410 0$aAdvanced Technologies and Societal Change,$x2191-6861 606 $aComputational intelligence 606 $aBlockchains (Databases) 606 $aSustainability 606 $aQuantitative research 606 $aArtificial intelligence 606 $aInternet of things 606 $aComputational Intelligence 606 $aBlockchain 606 $aSustainability 606 $aData Analysis and Big Data 606 $aArtificial Intelligence 606 $aInternet of Things 615 0$aComputational intelligence. 615 0$aBlockchains (Databases) 615 0$aSustainability. 615 0$aQuantitative research. 615 0$aArtificial intelligence. 615 0$aInternet of things. 615 14$aComputational Intelligence. 615 24$aBlockchain. 615 24$aSustainability. 615 24$aData Analysis and Big Data. 615 24$aArtificial Intelligence. 615 24$aInternet of Things. 676 $a006.31 702 $aSingh$b T. P. 702 $aUgwu$b Chidiebere 702 $aKadyan$b Virender 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910647778103321 996 $aDeep Learning Technologies for the Sustainable Development Goals$93303430 997 $aUNINA