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Computational Science – ICCS 2022

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Table of Contents

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    Book Overview
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    Chapter 1 Developing a Scalable Cellular Automaton Model of 3D Tumor Growth
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    Chapter 2 Human-Level Melodic Line Harmonization
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    Chapter 3 Classification Methods Based on Fitting Logistic Regression to Positive and Unlabeled Data
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    Chapter 4 Robust Control of Perishable Inventory with Uncertain Lead Time Using Neural Networks and Genetic Algorithm
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    Chapter 5 Batch QR Factorization on GPUs: Design, Optimization, and Tuning
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    Chapter 6 ChemTab: A Physics Guided Chemistry Modeling Framework
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    Chapter 7 Establishing Metrics to Quantify Underlying Structure in Vascular Red Blood Cell Distributions
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    Chapter 8 Coevolutionary Approach to Sequential Stackelberg Security Games
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    Chapter 9 Finch : Domain Specific Language and Code Generation for Finite Element and Finite Volume in Julia
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    Chapter 10 Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data
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    Chapter 11 Adaptive Regularization of B-Spline Models for Scientific Data
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    Chapter 12 Content-Aware Generative Model for Multi-item Outfit Recommendation
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    Chapter 13 Retrofitting Structural Graph Embeddings with Node Attribute Information
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    Chapter 14 Hierarchical Ensemble Based Imbalance Classification
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    Chapter 15 Numerical Approximation of the One-Way Helmholtz Equation Using the Differential Evolution Method
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    Chapter 16 Iterative Solution for the Narrow Passage Problem in Motion Planning
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    Chapter 17 A Productive and Scalable Actor-Based Programming System for PGAS Applications
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    Chapter 18 Is Context All You Need? Non-contextual vs Contextual Multiword Expressions Detection
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    Chapter 19 Out-of-Distribution Detection in High-Dimensional Data Using Mahalanobis Distance - Critical Analysis
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    Chapter 20 Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition
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    Chapter 21 Efficient Computational Algorithm for Stress Analysis in Hydro-Sediment-Morphodynamic Models
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    Chapter 22 Enhancing Computational Steel Solidification by a Nonlinear Transient Thermal Model
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    Chapter 23 Weakly-Supervised Cell Classification for Effective High Content Screening
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    Chapter 24 Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?
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    Chapter 25 DITA-NCG: Detecting Information Theft Attack Based on Node Communication Graph
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    Chapter 26 Boosted Ensemble Learning Based on Randomized NNs for Time Series Forecasting
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    Chapter 27 Exploring Ductal Carcinoma In-Situ to Invasive Ductal Carcinoma Transitions Using Energy Minimization Principles
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    Chapter 28 Scaling the PageRank Algorithm for Very Large Graphs on the Fugaku Supercomputer
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    Chapter 29 Ultrafast Focus Detection for Automated Microscopy
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    Chapter 30 Models and Metrics for Mining Meaningful Metadata
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    Chapter 31 HNOP: Attack Traffic Detection Based on Hierarchical Node Hopping Features of Packets
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    Chapter 32 TROPHY: Trust Region Optimization Using a Precision Hierarchy
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    Chapter 33 Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences
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    Chapter 34 MHGEE: Event Extraction via Multi-granularity Heterogeneous Graph
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    Chapter 35 Consistency Fences for Partial Order Delivery to Reduce Latency
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    Chapter 36 Dynamic Classification of Bank Clients by the Predictability of Their Transactional Behavior
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    Chapter 37 Unveiling User Behavior on Summit Login Nodes as a User
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    Chapter 38 n-type B-N Co-doping and N Doping in Diamond from First Principles
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    Chapter 39 Stock Predictor with Graph Laplacian-Based Multi-task Learning
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    Chapter 40 Identification of MEEK-Based TOR Hidden Service Access Using the Key Packet Sequence
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    Chapter 41 Towards a Scalable Set Similarity Join Using MapReduce and LSH
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    Chapter 42 Cyberbullying Detection with Side Information: A Real-World Application of COVID-19 News Comment in Chinese Language
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    Chapter 43 Designing a Training Set for Musical Instruments Identification
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    Chapter 44 Characterizing Wildfire Perimeter Polygons from QUIC-Fire
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    Chapter 45 On a New Generalised Iteration Method in the PSO-Based Newton-Like Method
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    Chapter 46 Peridynamic Damage Model Based on Absolute Bond Elongation
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    Chapter 47 Privacy Paradox in Social Media: A System Dynamics Analysis
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    Chapter 48 GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition
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    Chapter 49 Forecasting Bank Default with the Merton Model: The Case of US Banks
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    Chapter 50 Deep Neural Sequence to Sequence Lexical Substitution for the Polish Language
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    Chapter 51 Facial Mask Impact on Human Age and Gender Classification
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    Chapter 52 Simple and Efficient Acceleration of the Smallest Enclosing Ball for Large Data Sets in  $$E^2$$ E 2 : Analysis and Comparative Results
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    Chapter 53 Elastic Resource Allocation Based on Dynamic Perception of Operator Influence Domain in Distributed Stream Processing
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    Chapter 54 PRISM: Principal Image Sections Mapping
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    Chapter 55 The New UPC++ DepSpawn High Performance Library for Data-Flow Computing with Hybrid Parallelism
Attention for Chapter 1: Developing a Scalable Cellular Automaton Model of 3D Tumor Growth
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Chapter title
Developing a Scalable Cellular Automaton Model of 3D Tumor Growth
Chapter number 1
Book title
Computational Science – ICCS 2022
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-08751-6_1
Book ISBNs
978-3-03-108750-9, 978-3-03-108751-6
Authors

Tanade, Cyrus, Putney, Sarah, Randles, Amanda

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