Experimental and Computational Investigations in Engineering: Proceedings of the International Conference of Experimental and Numerical Investigations, Mitrovic Nenad, Mladenovic Goran, Mitrovic Aleksandra
Автор: Nguyen Ngoc Thanh, Hoang Bao Hung, Huynh Cong Phap Название: Computational Collective Intelligence: 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 - December 3, 2020, Proceedings ISBN: 3030630064 ISBN-13(EAN): 9783030630065 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.*The 70 full papers presented were carefully reviewed and selected from 314 submissions. computational collective intelligence and natural language processing;
Автор: Gervasi Osvaldo, Murgante Beniamino, Misra Sanjay Название: Computational Science and Its Applications - Iccsa 2020: 20th International Conference, Cagliari, Italy, July 1-4, 2020, Proceedings, Part VII ISBN: 303058819X ISBN-13(EAN): 9783030588199 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Simulations of Flow and Transport: Modeling, Algorithms and Computation.- Decoupled and energy stable time-marching scheme for the interfacial flow with soluble surfactants.- A Numerical Algorithm to Solve the Two-Phase Flow in Porous Media Including Foam Displacement.- A three-dimensional, one-field, fictitious domain method for fluid-structure interactions.- Multi Axes Sliding Mesh Approach for Compressible Viscous Flows.- Monolithic arbitrary Lagrangian-Eulerian finite element method for a multi-domain blood flow-aortic wall interaction problem.- Morphing Numerical Simulation of Incompressible Flows Using Seamless Immersed Boundary Method.- deal.II Implementation of a Two-field Finite Element Solver for Poroelasticity.- Numerical Investigation of Solute Transport in Fractured Porous Media Using the Discrete Fracture Model.- Adaptive multiscale model reduction for nonlinear parabolic equations using GMsFEM.- Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems.- Numerical simulation of heat transfer in an enclosure with time-periodic heat generation using finite-difference method.- Development of an Object-Oriented Programming Tool based on FEM for Numerical Simulation of Mineral-Slurry Transport.- Descending Flight Simulation of Tiltrotor Aircraft at Different Descent Rates.- The quantization algorithm impact in hydrological applications: preliminary results.- An Expanded Mixed Finite Element Method for Space Fractional Darcy Flow in Porous Media.- Prediction of the Free Jet Noise Using Quasi-Gas Dynamic Equations and Acoustic Analogy.- Simulation Based Exploration of Bacterial Cross Talk Between Spatially Separated Colonies in A Multispecies Biofilm Community.- Massively Parallel Stencil Code for Radiation Transport Moment Model Simulations.- Hybrid Mixed Methods Applied to Miscible Displacements with Adverse Mobility Ratio.- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning.- Learn More from Context: Joint Modeling of Local and Global Attention for Aspect Sentiment Classification.- ArtPDGAN: Creating Artistic Pencil Drawing With Key Map Using Generative Adversarial Networks.- Interactive travel aid for the visually impaired - from depth maps to sonic patterns and verbal messages.- Ontology-Driven Edge Computing.- Combined Metrics for Quality Assessment of 3D Printed Surfaces for Aesthetic Purposes: Towards Higher Accordance with Subjective Evaluations.- Path Markup Language for Indoor Navigation.- Smart Fire Alarm System with Person Detection and Thermal Camera.- Data Mining for Thermal Analysis of Big Dataset of HPC-Data Center.- A comparison of multiple objective algorithms in the context of a dial a ride problem.- Software Engineering for Computational Science.- Lessons learned in a decade of research software engineering GPU applications.- Unit Tests of Scientific Software: A Study on SWMM.- NUMA-Awareness as a Plug-In for an Eventify-based Fast Multipole Method.- Boosting Group-level Synergies by Using a Shared Modeling Framework.- Testing Research Software: A Case Study.- APE: A Command-Line Tool and API for Automated Workflow Composition.- Solving Problems with Uncertainties.- An ontological approach to Knowledge Building by Data Integration.- A Simple Stochastic Process Model for River Environmental Assessment under Uncertainty.- A posteriori error estimation via differences of numerical solutions.- Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model.- Robust single machine scheduling with random blocks in an uncertain environment.- Empirical Analysis of Stochastic Methods of Linear Algebra.- Wind field parallelization based on Python multiprocessing to reduce forest fire propagation prediction uncertainty.- Risk Profiles of Financial Service Portfolio for Women Segment using Machine Learning Algorithms.- Multidimensio
Автор: Krzhizhanovskaya Valeria V., Zбvodszky Gбbor, Lees Michael H. Название: Computational Science - Iccs 2020: 20th International Conference, Amsterdam, the Netherlands, June 3-5, 2020, Proceedings, Part I ISBN: 3030503704 ISBN-13(EAN): 9783030503703 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: ICCS Main Track.- An efficient new static scheduling heuristic for accelerated architectures.- Multilevel Parallel Computations for Solving Multistage Multicriteria Optimization Problems.- Enabling Hardware Affinity in JVM-based Applications: A Case Study for Big Data.- An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language.- Parallel numerical solution of a 2D Chemotaxis-Stokes system on GPUs technology.- Automatic management of cloud applications with use of Proximal Policy Optimization.- Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning.- A massively parallel algorithm for the three-dimensional Navier-Stokes-Boussinesq simulations of the atmospheric phenomena.- Reconstruction of Low Energy Neutrino Events with GPUs at IceCube.- Cache-Aware Matrix Polynomials.- QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing.- From Conditional Independence to Parallel Execution in Hierarchical Models.- Improving performance of the Hypre iterative solver for Uintah combustion codes on manycore architectures using MPI Endpoints and Kernel Consolidation.- Analysis of Checkpoint I/O behavior.- Enabling EASEY deployment of containerized applications for future HPC systems.- Reproducibility of computational experiments on Kubernetes-managed container clouds with HyperFlow.- GPU-accelerated RDP Algorithm for Data Segmentation.- Sparse Matrix-Based HPC Tomography.- heFFTe: Highly Efficient FFT for Exascale.- Scalable Workflow-Driven Hydrologic Analysis in HydroFrame.- Patient-specific cardiac parametrization from Eikonal simulations.- An Empirical Analysis of Predictors for Workload Estimation in Healthcare.- How You Say Or What You Say? Neural Activity in Message Credibility Evaluation.- Look Who's Talking: Modeling Decision Making Based on Source Credibility.- An Adaptive Network Model for Burnout and Dreaming.- Computational Analysis of the Adaptive Causal Relationships between Cannabis, Anxiety and Sleep.- Detecting Critical Transitions in the Human Innate Immune System Post-Cardiac Surgery.- Using individual-based models to look beyond the horizon: the changing effects of household-based clustering of susceptibility to measles in the next 20 years.- Modelling the effects of antibiotics on gut flora using a nonlinear compartment model with uncertain parameters.- Stochastic volatility and early warning indicator.- Boost and Burst: Bubbles in the Bitcoin Market.- Estimation of tipping points for critical and transitional regimes in the evolution of complex interbank network.- Modeling of Fire Spread including Different Heat Transfer Mechanisms using Cellular Automata.- Narrow passage problem solution for motion planning.- Fault Injection, Detection and Treatment in Simulated Autonomous Vehicles.- Using Cellular Automata to Model High Density Pedestrian Dynamics.- Autonomous Vehicles as Local Traffic Optimizers.- Modeling Helping Behavior in Emergency Evacuations using Volunteer's Dilemma Game.- Learning Mixed Traffic Signatures in Shared Networks.- A Novel Metric to Evaluate In Situ Workflows.- Social Recommendation in Dynamic Evolving Relation Network.- DDNE: Discriminative Distance Metric Learning for Network Embedding.- Extracting Backbone Structure of a Road Network from Raw Data.- Look Deep into the New Deep Network: A Measurement Study on the ZeroNet.- Identifying influential spreaders on a weighted network using HookeRank method.- Community aware models of meme spreading in micro-blog social networks.- Dynamic Vote-Rank Based Approach for Effective Sequential Initialization of Information Spreading Processes within Complex Networks.- On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks.- Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations.- A Probabilistic Infection Model for Efficien
Автор: Aditya Joshi; Pushpak Bhattacharyya; Mark J. Carma Название: Investigations in Computational Sarcasm ISBN: 9811341397 ISBN-13(EAN): 9789811341397 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Поставка под заказ. Описание: This book describes the authors’ investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators? (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony? And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: ‘intra-textual incongruity’ where the authors look at incongruity within the text to be classified (i.e., target text) and ‘context incongruity’ where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) author’s historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media.
Автор: Aditya Joshi; Pushpak Bhattacharyya; Mark J. Carma Название: Investigations in Computational Sarcasm ISBN: 9811083959 ISBN-13(EAN): 9789811083952 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Поставка под заказ. Описание: This book describes the authors’ investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators? (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony? And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: ‘intra-textual incongruity’ where the authors look at incongruity within the text to be classified (i.e., target text) and ‘context incongruity’ where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) author’s historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media.
Автор: Nenad Mitrovic; Milos Milosevic; Goran Mladenovic Название: Computational and Experimental Approaches in Materials Science and Engineering ISBN: 3030308529 ISBN-13(EAN): 9783030308520 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This proceedings book offers a collection of high-quality, peer-reviewed research papers presented at the International Conference of Experimental and Numerical Investigations and New Technologies (CNNTech2019) held in Zlatibor, Serbia, from 2 to 5 July 2019. Discussing various industrial, engineering and scientific applications of the engineering techniques, it provides researchers from academia and industry with a platform to present their original work and exchange ideas, experiences, information, techniques, applications and innovations in the fields of mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.
Автор: Xiao Jing, Krцger Torsten, Khatib Oussama Название: Proceedings of the 2018 International Symposium on Experimental Robotics ISBN: 3030339491 ISBN-13(EAN): 9783030339494 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Following Surgical Trajectories with Concentric Tube Robots via Nearest-Neighbor Graphs.- Design and Analysis of a Bidirectional NotchJoint for a Robotic Pediatric Neuroendoscope.- A Collaborative Aerial-Ground Robotic Systemfor Fast Exploration.
Автор: Ruan Da Et Al Название: Computational Intelligence: Foundations And Applications - Proceedings Of The 9Th International Flins Conference ISBN: 9814324698 ISBN-13(EAN): 9789814324694 Издательство: World Scientific Publishing Рейтинг: Цена: 396000.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers the contributions presented at the ninth in the series of Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS) conferences covering advanced research, development, and technology for computational intelligence systems - both from foundations and applications points-of-view.
Автор: Nabendu Chaki; Agostino Cortesi; Nagaraju Devarako Название: Proceedings of International Conference on Computational Intelligence and Data Engineering ISBN: 9811063184 ISBN-13(EAN): 9789811063183 Издательство: Springer Рейтинг: Цена: 213360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Preface.- List of Reviewers.- Program Committee.- About the Editors.- Table of Contents.- 30 Chapters.- Author Index.
Автор: Bhateja Название: Proceedings of the Second International Conference on Computational Intelligence and Informatics ISBN: 9811082278 ISBN-13(EAN): 9789811082276 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The volume contains 72 high quality papers presented at International Conference on Computational Intelligence and Informatics (ICCII 2017).
Автор: Arun K. Somani; Sumit Srivastava; Ankit Mundra; Sa Название: Proceedings of First International Conference on Smart System, Innovations and Computing ISBN: 9811355029 ISBN-13(EAN): 9789811355028 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Поставка под заказ. Описание: The edited volume contains original papers contributed to 1st International Conference on Smart System, Innovations and Computing (SSIC 2017) by researchers from different countries. The contributions focuses on two main areas, i.e. Smart Systems Innovations which includes applications for smart cities, smart grid, social computing and privacy challenges with their theory, specification, design, performance, and system building. And second Computing of Complex Solutions which includes algorithms, security solutions, communication and networking approaches. The volume provides a snapshot of current progress in related areas and a glimpse of future possibilities. This volume is useful for researchers, Ph.D. students, and professionals working in the core areas of smart systems, innovations and computing.
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