03154nam 22006254a 450 991045073110332120200520144314.01-280-83365-397866108336580-85199-046-0(CKB)1000000000344496(EBL)295057(OCoLC)476061748(SSID)ssj0000163028(PQKBManifestationID)11167087(PQKBTitleCode)TC0000163028(PQKBWorkID)10108032(PQKB)10622931(MiAaPQ)EBC295057(Au-PeEL)EBL295057(CaPaEBR)ebr10173514(CaONFJC)MIL83365(EXLCZ)99100000000034449620030808d2004 uy 0engur|n|---|||||txtccrGIS and spatial analysis in veterinary science[electronic resource] /edited by P.A. Durr and A.C. GatrellWallingford, Oxfordshire, UK ;Cambridge, MA CABI Pub.c20041 online resource (314 p.)Description based upon print version of record.0-85199-634-5 Includes bibliographical references and index.Preface; 1 The Tools of Spatial Epidemiology: GIS, Spatial Analysis and Remote Sensing; 2 Spatial Epidemiology and Animal Disease: Introduction and Overview; 3 Geographical Information Science and Spatial Analysis in Human Health: Parallels and Issues for Animal Health Research; 4 Spatial Statistics in the Biomedical Sciences: Future Directions; 5 Geographical Information Science and Spatial Analysis in Animal Health; 6 The Use of GIS in Veterinary Parasitology; 7 The Use of GIS in Modelling the Spatial and Temporal Spread of Animal Diseases; 8 The Use of GIS in Companion Animal Epidemiology9 The Use of GIS in Epidemic Disease Response10 The Use of GIS in the Management of Wildlife Diseases; 11 Resources Guide: Software, Data and GisVet Web; IndexThis book is probably the first to review the subject of geographical information systems (including remote sensing) and spatial analysis as applied to veterinary science. Topics covered include the application of GIS to epidemic disease response, to companion animal epidemiology and to the management of wildlife diseases. There are also chapters on more general issues such as parallels with human health and spatial statistics in the biomedical sciences.Veterinary epidemiologyData processingGeographic information systemsSpatial analysis (Statistics)Electronic books.Veterinary epidemiologyData processing.Geographic information systems.Spatial analysis (Statistics)636.089/44Durr P. A(Peter A.)925351Gatrell Anthony C305667MiAaPQMiAaPQMiAaPQBOOK9910450731103321GIS and spatial analysis in veterinary science2077624UNINA04104nam 22007095 450 991074248970332120251009083552.09789819938858981993885610.1007/978-981-99-3885-8(MiAaPQ)EBC30722823(Au-PeEL)EBL30722823(DE-He213)978-981-99-3885-8(OCoLC) 1396062057(PPN)272263273(CKB)28100239100041(OCoLC)1396062057(EXLCZ)992810023910004120230829d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntent Recognition for Human-Machine Interactions /by Hua Xu, Hanlei Zhang, Ting-En Lin1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (162 pages)SpringerBriefs in Computer Science,2191-5776Print version: Xu, Hua Intent Recognition for Human-Machine Interactions Singapore : Springer,c2023 9789819938841 Part I: Overview -- Chapter 1. Dialogue System -- Chapter 2. Intent Recognition -- Part II: Intent Classification -- Chapter 3. Intent Classification Based on Single Model -- Chapter 4. A Dual RNN Semantic Analysis Framework for Intent Classification and Slot -- Part III: Unknown Intent Detection -- Chapter 5. Unknown Intent Detection Method Based on Model Post-processing -- Chapter 6. Unknown Intent Detection Based on Large-Margin Cosine Loss -- Chapter 7. Unknown Intention Detection Method based on Dynamic Constraint Boundary -- Part IV: Discovery of Unknown Intents -- Chapter 8. Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement -- Chapter 9. Discovering New Intents with Deep Aligned Clustering -- Part V: Dialogue Intent Recognition Platform -- Chapter 10. Experiment Platform for Dialogue Intent Recognition based on Deep Learning -- Part VI: Summary and Future Work -- Chapter 11. Summary -- Appendix.Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.SpringerBriefs in Computer Science,2191-5776User interfaces (Computer systems)Human-computer interactionData miningArtificial intelligenceRoboticsUser Interfaces and Human Computer InteractionData Mining and Knowledge DiscoveryArtificial IntelligenceRoboticsUser interfaces (Computer systems)Human-computer interaction.Data mining.Artificial intelligence.Robotics.User Interfaces and Human Computer Interaction.Data Mining and Knowledge Discovery.Artificial Intelligence.Robotics.004.019Xu Hua(Writer on computer science)1432277Zhang Hanlei1423707Lin Ting-En1423708MiAaPQMiAaPQMiAaPQBOOK9910742489703321Intent recognition for human-machine interactions3576661UNINA