Published: Springer, 2023
Description:
1 online resource (lxvii, 760 pages) : illustrations (some color).
Contents:
“…General Track 1: Computational Methods, Algorithms and Scientific Applications -- Review on
nuclear thermal propulsion analysis of fuel element and simulation methods -- Modified Differential Evolution Algorithm applied to Economic Load Dispatch Problem -- An evaluation of direct and indirect memory accesses in fluid flow simulator -- Design and implementation of wind-powered charging system to improve electric motorcycle autonomy -- Computational studies unveiling the mechanism of action of selected Pt-, Te-, Au-, Rh-, Ru-based drugs -- Formulations for the Split Delivery Capacitated Profitable Tour Problem -- Multidimensional Scattered Time-varying Scattered Data Meshless Interpolation for Sensor Networks -- CFD Prediction of Wind Turbine Blade Compressible Aerodynamics -- Fast CUDA geomagnetic map builder -- A Compact-RBF-FD Scheme for Valuing Financial Derivatives based on Short-Rate Models -- Heuristics for the De Bruijn Graph Sequence Mapping Problem -- Computational grid optimization for the 3D higher-order parabolic equation -- Sensitivity Analysis of Markovian Exact Reproduction Numbers -- Invariant polarization signatures for recognition of hydrometeors by airborne weather radars -- Extended Pairwise Sequence Alignment -- Exploring machine learning algorithms and numerical representations strategies to develop predictive models for protein networks -- A Constructive Algorithm for the Split Delivery Vehicle Routing Problem (SDVRP) -- General Track 2: High Performance Computing and Networks -- Energy consumption monitoring system (kWh) and load
control through messaging applications -- Developing Ultrahigh-resolution E3SM Land Model for GPU systems -- A RELIABILITY BASED TASK SCHEDULING METHOD FOR WIRELESS DISTRIBUTED SYSTEMS -- General Track 5: Information Systems and Technologies -- Maize (Corn) Leaf Disease Detection System Using Convolutional Neural Network (CNN) -- An Empirical Study on the Effectiveness of Bi-LSTM-Based Industry Rotation Strategies in Thai Equity Portfolios -- Prediction of Urban Population-Facilities Interactions with Graph Neural Network -- JurisBERT: a new approach that converts a classification corpus into an STS one -- Computational Music: Analysis of Music Forms -- Learning By Small Loss Approach Multi-label To Deal With Noisy Labels -- Predicting Multiple Domain Queue Waiting Time via Machine Learning -- Evaluation of time series causal detection methods on the influence of Pacific and Atlantic Ocean over Northeastern Brazil precipitation -- An approach for team formation using modified grey wolf optimizer -- FastCELF++: a novel and fast heuristic for influence maximization in complex networks -- Enhancing Amazigh Speech Recognition System with MFDWC-SVM -- Bibliometric Analysis of Robotic Process Automation Domain: Key Topics, Challenges and Solutions -- A software architecture based on the blockchain-database hybrid for electronic health records -- Convolutional Neural Networks and Ensembles for Visually Impaired
Aid -- Artificial Bee Colony Algorithm for Feature Selection in fraud detection process -- Automatic features extraction from the optic cup and disc segmentation for Glaucoma classification -- Implementation of eXplainable Artificial Intelligence: Case Study on the Assessment of Movements to Support Neuromotor Rehabilitation -- A Novel Natural Language Processing Strategy to Improve Digital Accounting Classification Approach for Supplier Invoices ERP Transaction Process -- Knowledge Management Model: a Process View -- eXplainable Artificial Intelligence - A Study of Sentiments about Vaccination in Brazil -- Integrating counterfactual evaluations into traditional interactive recommendation frameworks -- Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers -- Interactive Information Visualization Models: A Systematic Literature Review -- A framework to assist instructors help novice programmers to better comprehend source code - A decoding perspective -- From Selecting Best Algorithm to Explaining Why It is: A General Review, Formal Problem Statement and Guidelines Towards to an Empirical Generalization -- A Machine Learning Methodology for Optimal Big Data Processing in Advanced Smart City Environments -- Structural Node Representation Learning for Detecting Botnet Nodes -- AutoML Framework for labor potential modeling -- A preliminary result of implementing a deep learning-based earthquake early warning system in Italy.…”
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