LEADER 04563nam 22006374a 450 001 9910450771303321 005 20200520144314.0 010 $a1-135-42366-0 010 $a1-280-17474-9 010 $a9786610174744 010 $a0-203-99804-9 035 $a(CKB)1000000000250507 035 $a(EBL)241910 035 $a(OCoLC)475959157 035 $a(SSID)ssj0000167817 035 $a(PQKBManifestationID)11149632 035 $a(PQKBTitleCode)TC0000167817 035 $a(PQKBWorkID)10177996 035 $a(PQKB)11075640 035 $a(MiAaPQ)EBC241910 035 $a(Au-PeEL)EBL241910 035 $a(CaPaEBR)ebr10162216 035 $a(CaONFJC)MIL17474 035 $a(EXLCZ)991000000000250507 100 $a20040426d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook of mathematical cognition$b[electronic resource] /$fedited by Jamie I.D. Campbell 210 $aNew York $cPsychology Press$d2005 215 $a1 online resource (527 p.) 300 $aDescription based upon print version of record. 311 $a1-138-00606-8 311 $a1-84169-411-8 320 $aIncludes bibliographical references and indexes. 327 $aHANDBOOK OF MATHEMATICAL COGNITION; Copyright; Contents; About the Editor; Contributors; Preface; Acknowledgments; Part 1: Cognitive Representations for Numbers and Mathematics; 1 About Numerical Representations: Insights from Neuropsychological, Experimental, and Developmental Studies; 2 Number Recognition in Different Formats; 3 Spatial Representation of Numbers; 4 Automaticity in Processing Ordinal Information; 5 Computational Modeling of Numerical Cognition; 6 What Animals Know about Numbers; 7 The Cognitive Foundations of Mathematics: The Role of Conceptual Metaphor 327 $aPart 2: Learning and Development of Numerical Skills8 The Young Numerical Mind: When Does It Count?; 9 Development of Arithmetic Skills and Knowledge in Preschool Children; 10 Learning Mathematics in China and the United States: Cross-Cultural Insights into the Nature and Course of Preschool Mathematical Development; 11 Magnitude Representation in Children: Its Development and Dysfunction; 12 Development of Numerical Estimation: A Review; 13 Understanding Ratio and Proportion as an Example of the Apprehending Zone and Conceptual-Phase Problem-Solving Models 327 $a14 Stereotypes and Math PerformancePart 3: Learning and Performance Disabilities in Math and Number Processing; 15 Learning Disabilities in Arithmetic and Mathematics: Theoretical and Empirical Perspectives; 16 Math Performance in Girls with Turner or Fragile X Syndrome; 17 Number Processing in Neurodevelopmental Disorders: Spina Bifida Myelomeningocele; 18 Math Anxiety and Its Cognitive Consequences: A Tutorial Review; Part 4: Calculation and Cognition; 19 What Everyone Finds: The Problem-Size Effect; 20 Architectures for Arithmetic; 21 Mathematical Cognition and Working Memory 327 $a22 Mathematical Problem Solving: The Roles of Exemplar, Schema, and Relational Representations23 Aging and Mental Arithmetic; 24 Calculation Abilities in Expert Calculators; Part 5: Neuropsychology of Number Processing and Calculation; 25 Three Parietal Circuits for Number Processing; 26 Developmental Dyscalculia; 27 Rehabilitation of Acquired Calculation and Number Processing Disorders; Author Index; Subject Index 330 $aHow does the brain represent number and make mathematical calculations? What underlies the development of numerical and mathematical abilities? What factors affect the learning of numerical concepts and skills? What are the biological bases of number knowledge? Do humans and other animals share similar numerical representations and processes? What underlies numerical and mathematical disabilities and disorders, and what is the prognosis for rehabilitation? These questions are the domain of mathematical cognition, the field of research concerned with the cognitive and neurological processes t 606 $aMathematics$xStudy and teaching$xMethodology 606 $aMathematical ability 608 $aElectronic books. 615 0$aMathematics$xStudy and teaching$xMethodology. 615 0$aMathematical ability. 676 $a510/.71 701 $aCampbell$b Jamie I. D$0291708 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910450771303321 996 $aHandbook of mathematical cognition$9740060 997 $aUNINA LEADER 01093nam0 22002891i 450 001 UON00073966 005 20231205102401.904 010 $a08-607-8178-x 100 $a20020107d1986 |0itac50 ba 101 $aeng 102 $aGB 105 $a|||| ||||| 200 1 $aIslamic mathematical astronomy$fDavid A. King 210 $aLondon$cVariorum reprints$d1986 215 $a1 v.$cill.$d23 cm 410 1$1001UON00171385$12001 $aCollected Studies Series$v231 606 $aASTRONOMIA ARABA$3UONC019264$2FI 620 $aGB$dLondon$3UONL003044 676 $a520.917671$cASTRONOMIA ISLAMICA / ASTRONOMIA ISPANO ARABA$v21 700 1$aKING$bDavid A.$3UONV043663$020952 712 $aVariorum Reprints$3UONV247177$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00073966 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI ARA Afr XVIII B 001 $eSI AA 9393 5 001 996 $aIslamic mathematical astronomy$91164411 997 $aUNIOR LEADER 03527nam 22006615 450 001 9910734874903321 005 20251113182952.0 010 $a3-031-37317-0 024 7 $a10.1007/978-3-031-37317-6 035 $a(MiAaPQ)EBC30621283 035 $a(Au-PeEL)EBL30621283 035 $a(DE-He213)978-3-031-37317-6 035 $a(PPN)272251313 035 $a(CKB)27498433100041 035 $a(EXLCZ)9927498433100041 100 $a20230706d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning Theory and Applications $eThird International Conference, DeLTA 2022, Lisbon, Portugal, July 12?14, 2022, Revised Selected Papers /$fedited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (130 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1858 311 08$aPrint version: Fred, Ana Deep Learning Theory and Applications Cham : Springer International Publishing AG,c2023 9783031373169 327 $aModified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding -- Active Collection of Well-being and Health Data in Mobile Devices -- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs -- Trac Sign Repositories: Bridging the Gap between Real and Synthetic Data -- Convolutional Neural Networks for Structural Damage Localization on Digital Twins -- Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences. 330 $aThis book constitutes the refereed post-conference proceedings of the Third International Conference on Deep Learning Theory and Applications, DeLTA 2022, held in Lisbon, Portugal, during January 17-18, 2022. The 6 full papers included in this book were carefully reviewed and selected from 36 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1858 606 $aArtificial intelligence 606 $aComputer systems 606 $aComputer networks 606 $aComputer science$xMathematics 606 $aArtificial Intelligence 606 $aComputer System Implementation 606 $aComputer Communication Networks 606 $aMathematics of Computing 615 0$aArtificial intelligence. 615 0$aComputer systems. 615 0$aComputer networks. 615 0$aComputer science$xMathematics. 615 14$aArtificial Intelligence. 615 24$aComputer System Implementation. 615 24$aComputer Communication Networks. 615 24$aMathematics of Computing. 676 $a006.3 700 $aFred$b Ana$01372767 701 $aSansone$b Carlo$01372864 701 $aGusikhin$b Oleg$01073423 701 $aMadani$b Kurosh$0929700 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734874903321 996 $aDeep Learning Theory and Applications$93404746 997 $aUNINA