LEADER 01390nam0 2200325 i 450 001 SUN0052401 005 20170913105551.928 010 $a05-8236-803-0$d0.00 100 $a20060918d1998 |0engc50 ba 101 $aeng 102 $aGB 105 $a|||| ||||| 200 1 $aAdvanced topics in theoretical fluid mechanics$fJ. Malek, J. Necas and M. Rokyra 210 $aHarlow$cLongman$d1998 215 $a212 p.$d24 cm. 410 1$1001SUN0036226$12001 $aPitman research notes in mathematics series$v392$1210 $aHarlow$cLongman$d1986-. 606 $a35-XX$xPartial differential equations [MSC 2020]$2MF$3SUNC019763 606 $a76-XX$xFluid mechanics [MSC 2020]$2MF$3SUNC019858 606 $a00B25$xProceedings of conferences of miscellaneous specific interest [MSC 2020]$2MF$3SUNC020732 620 $aGB$dHarlow$3SUNL000090 702 1$aRokyta$b, Mirko$3SUNV041484 702 1$aMalek$b, Josef$3SUNV041485 702 1$aNecas$b, Jindrich$3SUNV044648 712 $aLongman$3SUNV000338$4650 790 1$aNecas, J.$zNecas, Jindrich$3SUNV044649 801 $aIT$bSOL$c20200727$gRICA 912 $aSUN0052401 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST 76-XX 2586 $e08 5914 II 20060918 996 $aAdvanced topics in theoretical fluid mechanics$91427473 997 $aUNICAMPANIA LEADER 06892nam 22006495 450 001 996565869303316 005 20231113163516.0 010 $a981-9980-79-8 024 7 $a10.1007/978-981-99-8079-6 035 $a(MiAaPQ)EBC30941355 035 $a(Au-PeEL)EBL30941355 035 $a(DE-He213)978-981-99-8079-6 035 $a(EXLCZ)9928846144900041 100 $a20231113d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing$b[electronic resource] $e30th International Conference, ICONIP 2023, Changsha, China, November 20?23, 2023, Proceedings, Part I /$fedited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (614 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14447 311 08$aPrint version: Luo, Biao Neural Information Processing Singapore : Springer,c2023 9789819980789 327 $aTheory and Algorithms -- Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm -- Application of Deep learning methods in the Diagnosis of Coronary Heart Disease based on Electronic Health Record -- Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games -- Traffic Data Recovery and Outlier Detection based on Non-Negative Matrix Factorization and Truncated-Quadratic Loss Function -- ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization -- ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward -- Amortized variational inference via Nos\'e-Hoover Thermostat Hamiltonian Monte Carlo -- AM-RRT*: An Automatic Robot Motion Planning Algorithm based on RRT -- MS3DAAM: Multi-scale 3-D Analytic Attention Module for Convolutional Neural Networks -- Nonlinear Multiple-delay Feedback Based Kernel Least Mean Square Algorithm -- AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs -- Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks -- Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses -- Multimodal Isotropic Neural Architecture with Patch Embedding -- Determination of local and global decision weights based on fuzzy modeling -- Binary Mother Tree Optimization Algorithm for 0/1 Knapsack Problem -- Distributed State Estimation for Multi-Agent Systems Under Consensus Control -- Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-Agent Systems -- Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level -- High-order control barrier function based robust collision avoidance formation tracking of constrained multi-agent systems -- Decision Support System based on MLP: Formula One (F1) Grand Prix Study Case -- Theoretical Analysis of Gradient-Zhang Neural Network for Time-Varying Equations and Improved Method for Linear Equations -- EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices -- Mastering Complex Coordination through Attention-based Dynamic Graph -- SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism -- Outer Synchronization for Multi-Derivative Coupled Complex Networks with and without External Disturbance -- A Distributed Projection-based Algorithm with Local Estimators for Optimal Formation of Multi-robot System -- A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization -- FalconNet: Factorization for the Light-weight ConvNets -- An Interactive Evolutionary Algorithm for Ceramic Formula Design -- Using Less But Important Information for Feature Distillation -- Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions -- GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis -- Adaptive load frequency control and optimization based on TD3 algorithm and linear active disturbance rejection control -- Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer -- An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network -- Actor-Critic with variable time discretization via sustained actions -- Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis -- Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter -- Cascaded fuzzy PID control for quadrotor UAVs based on RBF neural networks -- Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics -- Communication-Efficient Distributed Minimax Optimization via Markov Compression -- Multi-Level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-Supervised Cardiac MRI Segmentation -- Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning -- An Adaptive Detector for Few Shot Object Detection. 330 $aThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14447 606 $aPattern recognition systems 606 $aData mining 606 $aMachine learning 606 $aSocial sciences$xData processing 606 $aAutomated Pattern Recognition 606 $aData Mining and Knowledge Discovery 606 $aMachine Learning 606 $aComputer Application in Social and Behavioral Sciences 615 0$aPattern recognition systems. 615 0$aData mining. 615 0$aMachine learning. 615 0$aSocial sciences$xData processing. 615 14$aAutomated Pattern Recognition. 615 24$aData Mining and Knowledge Discovery. 615 24$aMachine Learning. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a006.4 700 $aLuo$b Biao$01439045 701 $aCheng$b Long$01076499 701 $aWu$b Zheng-Guang$01058221 701 $aLi$b Hongyi$01058618 701 $aLi$b Chaojie$01439046 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996565869303316 996 $aNeural Information Processing$93601277 997 $aUNISA LEADER 03966nam 22007335 450 001 9910261092203321 005 20251101110043.0 010 $a9783486717174 010 $a3486717170 024 7 $a10.1524/9783486717174 035 $a(CKB)3710000000109073 035 $a(EBL)1347325 035 $a(OCoLC)879550383 035 $a(SSID)ssj0001294943 035 $a(PQKBManifestationID)11770045 035 $a(PQKBTitleCode)TC0001294943 035 $a(PQKBWorkID)11336457 035 $a(PQKB)10754210 035 $a(MiAaPQ)EBC1347325 035 $a(WaSeSS)IndRDA00125073 035 $a(DE-B1597)218612 035 $a(OCoLC)979769785 035 $a(DE-B1597)9783486717174 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54420 035 $a(Perlego)1154787 035 $a(oapen)doab54420 035 $a(ODN)ODN0002492326 035 $a(EXLCZ)993710000000109073 100 $a20190723d2012 fg 101 0 $ager 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNeo-Tories $eBritische Konservative im Aufstand gegen Demokratie und politische Moderne (1929 - 1939) /$fBernhard Dietz; German Historical Institute London 205 $a1st ed. 210 $cDe Gruyter$d2012 210 1$aBerlin ;$aBoston : $cOldenbourg Wissenschaftsverlag, $d[2012] 210 4$d©2012 215 $a1 online resource (344 p.) 225 0 $aVeröffentlichungen des Deutschen Historischen Instituts London/ Publications of the German Historical Institute London ;$v71 300 $aDescription based upon print version of record. 311 08$a9781306791878 311 08$a1306791871 311 08$a9783486713022 311 08$a3486713027 320 $aIncludes bibliographical references and index. 327 $tFront Matter -- $t1. Einleitung -- $t2. Lost Generation? Sozialgeschichtliches Profil und Gruppenbiographie der Neo-Tories -- $t3. Gegengeschichtsschreibung - Kampf um die Deutungsmacht -- $t4. Neo-Toryismus als Weltanschauung: 4.1 Rassischer und zivilisatorischer Niedergang - ,Degeneration' als zentraler Topos; 4.2 Democracy on Trial - Systemkritik im Land der Mother of Parliaments -- $t4. Neo-Toryismus als Weltanschauung: 4.3 True Toryism - Visionen eines radikalen Konservatismus in Opposition zur Konservativen Partei; 4.4. Vorbild Italien? - Die Rezeption des italienischen Faschismus bei den Neo-Tories; 4.5 "Little use to expel Jews to-day, for we all have become Jews" - ,Der Konsens-Antisemitismus' der Neo-Tories -- $t5. Die politische Praxis am rechten Rand der Konservativen Partei -- $t6. Schlussbemerkung -- $tBack Matter 330 $aIn Großbritannien kam die Bedrohung der parlamentarischen Demokratie in der Zwischenkriegszeit von einer anderen Seite als bisher angenommen: von einem Netzwerk britischer Konservativer, die das politische System Großbritanniens radikal in Frage stellten und durch einen autoritär-korporativen Staat ersetzen wollten. Bernhard Dietz erfasst dieses Netzwerk in seinem Buch erstmals systematisch und belegt deren Mitglieder mit der Bezeichnung "Neo-Tories". Das Porträt dieser Gruppe von britischen Konservativen im Aufstand gegen Demokratie und politische Moderne ist aus heutiger Sicht umso faszinierender, weil ihr letztendliches Scheitern den Kern des Erfolgs der britischen Demokratie berührt. 410 0$aVero?ffentlichungen des Deutschen Historischen Instituts in London ;$vBand 71. 606 $aFascism$xHistory$y20th century 606 $aConservatives$xHistory$y20th century 615 0$aFascism$xHistory 615 0$aConservatives$xHistory 676 $a320.533 686 $aHIS000000$aHIS010020$aHIS014000$2bisacsh 700 $aDietz$b Bernhard, $0910607 702 $aGerman Historical Institute London$b , 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910261092203321 996 $aNeo-Tories$92037975 997 $aUNINA