Описание: This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP].
UAV Communication in FANETs using Metaheuristic Techniques.- On-demand joint predictive Flooding in Vehicular Adhoc Networks.- Entity-Centric Combined Trust (ECT) algorithm to detect packet dropping attack in vehicular ad-hoc networks (VANETs).- Optimized Low Energy Adaptive Clustering Hierarchy in Wireless Sensor Network.- QoS in Vertical Handoff for Wireless network using Hungarian model and Data Parceling technique.
Описание: This volume contains selected papers presented at the 7th International Conference on Theoretical, Applied, Computational and Experimental Mechanics. The contents of this volume focus on different aspects of mechanics, namely, fluid mechanics, solid mechanics, flight mechanics, control, and propulsion.
Описание: Researchers from academia and industry present their original work and exchange ideas, experiences, information, techniques, applications and innovations in the field of mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.
Автор: Hiroshi Okada; Satya N. Atluri Название: Computational and Experimental Simulations in Engineering ISBN: 3030270556 ISBN-13(EAN): 9783030270551 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Поставка под заказ.
Описание: This book gathers the latest advances, innovations, and applications in the field of computational engineering, as presented by leading international researchers and engineers at the 24th International Conference on Computational & Experimental Engineering and Sciences (ICCES), held in Tokyo, Japan on March 25-28, 2019.
Описание: Derived from the 2015Computational Methods in Experimental Economics (CMEE) conference, this bookfeatures papers containing research and analysis of economic experimentsconcerning research in such areas as management science, decision theory, gametheory, marketing and political science.
Part I: Theoretical Basis of Decision-Making-Interdisciplinary Approach.- Chapter 1: Neurobiology of Decision Making - Methodology in Decision-Making Research. Neuroanatomical and Neurobiochemical Fundamentals.- Chapter 2: Psychological Determinants of Decision-Making.- Chapter 3: Emotions in Decision-Making.- Chapter 4: Application of Neuroscience in Management.- Chapter 5: Neuroeconomics - Genesis and Essence.- Chapter 6: Measuring Economic Propensities.- Chapter 7: Convolutional Representation in Brain Simulation to Store and analyze Information about the Surrounding Environment for the needs of decision-making.- Part II: Behavioral Aspects of Economic Decision Making.- Chapter 8: Identification of Heuristics in the Process of Decision-Making on Financial Markets.- Chapter 9: The Impact of Behavioural Factors on Decisions Made by Individual Investors on the Capital Markets.- Chapter 10: Efficiency of Investment with the Use of Fundamental Power Aspects.- Chapter 11: Investors Decisions in the Light of Exploitable Predictable Irrationality Effect on Warsaw Stock Exchange. The Case of UEFA EURO 2012 and 2016.- Chapter 12: Behavioural Aspects of Performance Measurement Systems in Enterprises.- Chapter 13: The Impact of Behavioural Factors on the Decisive Usefulness of Accounting Information.- Chapter 14: The Selected Problems of Behavioural Accounting - the Issue of Intellectual Capital.- Chapter 15: The Impact of Information Usefulness of E-Commerce Services on Users Behaviors.- Chapter 16: System Dynamics Modeling in Behavioral Decision Making.- Chapter 17: Prediction of Decision Outcome via Observation of Brain Activity Signals During Decision Making Process.- Part III: Practical Issues - Case Studies.- Chapter 18: Validation of EEG as an Advertising Research Method - Relation between EEG Reaction Toward Advertising and Attitude Toward Advertised Issue (Related to Political and Ideological Beliefs).- Chapter 19: Assessing Cerebral and Emotional Activity During the Purchase of Fruit and Vegetable Products in the Supermarkets.- Chapter 20: Using the Facereader Method to Detect Emotional Reaction to Controversial Advertising Referring to Sexuality and Homosexuality.- Chapter 21: The Implementation of Cognitive Neuroscience Techniques for Fatigue Evaluation in Participants of the Decision-Making Process.- Chapter 22: Cognitive Neuroscience Techniques in Examining the Effectiveness of Social Advertisements.- Chapter 23: Measuring the Impact of Intrusive Online Marketing Content on Consumer Choice with the Eye Tracking.- Chapter 24: Experimental Study of Color Contrast Influence in Internet Advertisements with Eye Tracker Usage.- Chapter 25: The Use of Experiment In Simulation of Debt of Local Government Units.- Chapter 26: Reflections on Research Process: Online Experiments on Allegro Platform.
ICCS Main Track.- Modified binary tree in the fast PIES for 2D problems with complex shapes.- Generating Random Floating-Point Numbers by Dividing Integers: a Case Study.- An effective stable numerical method for integrating highly oscillating functions with a linear phase.- Fitting Penalized Logistic Regression Models using QR Factorization.- Uncertainty Quantification in Fractional Stochastic Integro-Differential Equations using Legendre Wavelet Collocation Method.- A Direct High-order Curvilinear Triangular Mesh Generation Method Using an Advancing Front Technique.- Data-driven partial differential equations discovery approach for the noised multi-dimensional data.- Preconditioning Jacobian Systems by Superimposing Diagonal Blocks.- NURBS curves in parametric integral equations system for modeling and solving boundary value problems in elasticity.- Parameterizations and Lagrange Cubics for Fitting Multidimensional Data.- Loop Aggregation for Approximate Scientific Computing.- Numerical Computation for a Flow Caused by a High-speed Traveling Train and a Stationary Overpass.- Bezier surfaces for modeling inclusions in PIES.- Impact of water on methane adsorption in nanopores: A hybrid GCMC-MD simulation study.- A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem.- Numerical Modeling of the Two-Phase Flow of Water with Ice in the Tom River.- Remarks on Kaczmarz algorithm for solving consistent and inconsistent system of linear equations.- Investigating the Benefit of FP16-enabled Mixed-precision Solvers for Symmetric Positive Definite Matrices using GPUs.- Simulation versus ordered fuzzy numbers driven approach to multi depot vehicle cyclic routing and scheduling problem.- Epigenetic modification of genetic algorithm.- ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification.- DeepAD-a Joint Embedding Approach for Anomaly Detection on Attributed Networks.- SciNER: Extracting Named Entities From Scientific Literature.- GPU-embedding of kNN-graph representing large and high-dimensional data.- Evolving Long Short-Term Memory Networks.- Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features.- Data fitting by exponential sums with equal weights.- A Combination of Moment Descriptors, Fourier Transform and Matching Measures for Action Recognition Based on Shape.- Improving accuracy and speeding up Document Image Classification through parallel systems.- Computation of the airborne contaminant transport in urban area by the artificial neural network.- Exploring Musical Structure using Tonnetz Lattice Geometry and LSTMs.- Modeling of Anti-tracking Network based on Convex-polytope Topology.- A Workload Division Differential Privacy Algorithm to Improve the Accuracy for Linear Computations.- On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources.- Malicious Domain Detection Based on K-means and SMOTE.- Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management.- Hashing Based Prediction for Large-Scale Kernel Machine.- Picking Peaches or Squeezing Lemons: Selecting Crowdsourcing Workers for Reducing Cost of Redundancy.- Are n-gram Categories Helpful in Text Classification?.- Calculating Reactive Power Compensation for Large-scale Street Lighting.- Developing a Decision Support App for Computational Agriculture.- Optimal Location of Sensors for Early Detection of Tsunami Waves.- A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression.- Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling.- An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society.- Joint Entity Linking for Web Tables with Hybrid Semantic Matching.- A new coefficient of rankings simil
Advances in High-Performance Computational Earth Sciences: Applications and Frameworks.- Data-Driven Approach to Inversion Analysis of Three-dimensional Inner Soil Structure via Wave Propagation Analysis.- Data assimilation in volcano deformation using fast finite element analysis with high fidelity model.- Optimization and Local Time Stepping of an ADER-DG Scheme for Fully Anisotropic Wave Propagation in Complex Geometries.- The challenge of onboard SAR processing: a GPU opportunity.- High-resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large Scale Transport Simulations.- Granulation-based reverse image retrieval for microscopic rock images.- Hybrid SWAN for fast and efficient practical wave modelling - part 2.- Agent-Based Simulations, Adaptive Algorithms and Solvers.- An agent-based simulation of the spread of Dengue fever.- Hypergraph grammar-based model of adaptive bitmap compression.- Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton.- Scalable Signal-based Simulation of Autonomous Beings in Complex Environments.- Design of Loss Functions for Solving Inverse Problems using Deep Learning.- Asynchronous Actor-based Approach to Multiobjective Hierarchical Strategy.- MeshingNet: A New Mesh Generation Method based on Deep Learning.- A block preconditioner for scalable large scale finite element incompressible flow simulations.- Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems.- Computational complexity of hierarchically adapted meshes.- A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection.- Applications of Computational Methods in Artificial Intelligence and Machine Learning.- Link Prediction by Analyzing Temporal Behavior of Vertices.- Detecting Most Insightful Parts of Documents using an Attention-Based Model.- Challenge Collapsar(CC) Attack Traffic Detection based on Packet Field Differentiated Preprocessing and Deep Neural Network.- Deep Low-Density Separation for Semi-Supervised Classification.- Learning functions using data-dependent regularization: Representer theorem revisited.- Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images.- Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-Clustering as a Neighbourhood Identification Strategy.- GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels.- Interval Adjoint Significance Analysis for Neural Networks.- Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network.- An Empirical Evaluation Of Attention And Pointer Networks For Paraphrase Generation.- Interval methods for seeking fixed points of recurrent neural networks.- Fusion Learning: A One Shot Federated Learning.- The concept of system for automated scientific literature reviews generation.- A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings.- Retrain or not retrain ? - efficient pruning methods of deep CNN networks.- Hidden Markov Models and their Application for Predicting Failure Events.- Biomedical and Bioinformatics Challenges for Computer Science.- Reference-based Haplotype Phasing with FPGAs.- Tree Based Advanced Relative Expression Analysis.- Testing the significance of interactions in genetic studies using interaction information and resampling technique.- Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data.- Biological Network Visualization for Targeted Proteomics based on Mean First-Passage Time in Semi-Lazy Random Walks.- Bootstrap Bias Corrected Cross Validation applied to Super Learning.- MMRF-CoMMpass data integration and analysis for identifying prognostic markers.- Using machine learning in accuracy assessment of knowledge-based energy and frequency base likelihood in pro
Описание: Deep Learning to Predict the Number of Antennas in a Massive MIMO Setup based on Channel Characteristics.- Optimal Design of Fractional Order PID Controller for AVR System using Black Widow Optimization (BWO) Algorithm.- LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network.- Generative Adversarial Network and Reinforcement Learning to Estimate Channel Coefficients.- Self-Interference Cancellation in Full-duplex Radios for 5G Wireless Technology using Neural Network.- Dimensionality Reduction of KDD-99 using Self-perpetuating Algorithm.- Energy Efficient Neigbour Discovery using Bacterial Foraging Optimization (BFO) Technique for Asynchronous Wireless Sensor Networks.- LSTM based Outlier Detection Method for WSNs.- An Improved Swarm Optimization Algorithm based Harmonics Estimation and Optimal Switching Angle Identification.- A Study of Ensemble Methods for Classification.
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.
Описание: This book gathers the latest advances, innovations, and applications in the field of computational engineering, as presented by leading international researchers and engineers at the 26th International Conference on Computational & Experimental Engineering and Sciences (ICCES), held in Phuket, Thailand on January 6-10, 2021.
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