Advanced Computational Methods for Knowledge Engineering : Proceedings of the 6th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019

Advanced Computational Methods for Knowledge Engineering : Proceedings of the 6th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019 / Hoai An Le Thi, Hoai Minh Le, Tao Pham Dinh, Ngoc Thanh Nguyen, editors.

This proceedings book contains 37 papers selected from the submissions to the 6th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2019), which was held on 19-20 December, 2019, in Hanoi, Vietnam. The book covers theoretical and algorithmic as well as pract...

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Bibliographic Details
Corporate Author: International Conference on Computer Science, Applied Mathematics and Applications Hanoi, Vietnam
Other Authors: Le Thi, Hoai An, Le, Hoai Minh, Pham Dinh, Tao, Nguyen, Ngoc Thanh (Computer scientist)
Format: eBook
Language:English
Published: Cham : Springer, 2020.
Series:Advances in intelligent systems and computing ; 1121.
Subjects:
Computer science > Congresses.
Computational intelligence > Congresses.
Computational intelligence
Computer science
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Part I Nonconvex Optimization, DC Programming and DCA, and Applications
  • A New Efficient Algorithm for Maximizing the Profit and the Compactness in Land Use Planing Problem
  • A Novel Approach for Travel Time Optimization in Single-Track Railway Networks
  • DCA with Successive DC Decomposition for Convex Piecewise-Linear Fitting
  • Solving Efficient Target-Oriented Scheduling in Directional Sensor Networks by DCA
  • A Combination of CMAES-APOP Algorithm and Quasi-Newton Method
  • A Triple Stabilized Bundle Method for Constrained Nonconvex Nonsmooth Optimization
  • An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables
  • Numerical Technologies for Investigating Optimal Control Problems with Free Right-Hand End of Trajectories
  • A Genetic Algorithm Approach for Scheduling Trains Maintenance Under Uncertainty
  • Part II Data Mining and Data Processing
  • eDTWBI: Effective Imputation Method for Univariate Time Series
  • Reweighted ℓ1 Algorithm for Robust Principal Component Analysis
  • A Probability-Based Close Domain Metric in Lifelong Learning for Multi-label Classification
  • Applying MASI Algorithm to Improve the Classification Performance of Imbalanced Data in Fraud Detection
  • Learning Rough Set Based Classifiers Using Boolean Kernels
  • Using Support Vector Machine to Monitor Behavior of an Object Based WSN System
  • Stacking of SVMs for Classifying Intangible Cultural Heritage Images
  • Assessment of the Water Area in the Lowland Region of the Mekong River Using MODIS EVI Time Series
  • Palmprint Recognition Using Discriminant Local Line Directional Representation
  • Speech Assessment Based on Entropy and Similarity Measures
  • Part III Machine Learning Methods and Applications
  • Deep Clustering with Spherical Distance in Latent Space
  • A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting
  • Fusing of Deep Learning, Transfer Learning and GAN for Breast Cancer Histopathological Image Classification
  • Attentive biLSTMs for Understanding Students' Learning Experiences
  • Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks
  • An Intensive Empirical Study of Machine Learning Algorithms for Predicting Vietnamese Stock Prices
  • Improvement of Production Layout in the Furniture Industry in Indonesia with the Concept of Group Technology
  • Reinforcement Learning in Stock Trading
  • A Survey on Forecasting Models for Preventing Terrorism
  • On the Design of a Privacy Preserving Collaborative Platform for Cybersecurity
  • Secure and Robust Watermarking Scheme in Frequency Domain Using Chaotic Logistic Map Encoding
  • Part IV Knowledge Information and Engineering Systems
  • An Improvement of Applying Multi-objective Optimization Algorithm into Higher Order Mutation Testing
  • Belief Merging for Possibilistic Belief Bases
  • Discrete Time Sliding Mode Control of Milling Chatter
  • Efficient Processing of Recursive Joins on Large-Scale Datasets in Spark
  • New Feed Rate Optimization Formulation in a Parametric Domain for 5-Axis Milling Robots
  • Opensource Based IoT Platform and LoRa Communications with Edge Device Calibration for Real-Time Monitoring Systems.

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