Scientific Programming

Novel Advances in the Development of Machine Learning Solutions for Scientific Programming


Publishing date
01 May 2019
Status
Published
Submission deadline
04 Jan 2019

1University of Oviedo, Oviedo, Spain

2CMR Institute of Technology, Hyderabad, India

3Universidad Distrital Francisco José de Caldas, Bogotá, Colombia


Novel Advances in the Development of Machine Learning Solutions for Scientific Programming

Description

Scientific programming is a multidisciplinary field that uses advanced methods to understand and solve complex problems. Meanwhile, machine learning is the field that uses statistical techniques to give computer systems the ability to learn and extract knowledge from data, answering questions and solving problems in various application domains, without the need of being explicitly programmed. Both are exciting, complex, and interrelated fields in which advances are taking place at a great pace.

We are interested in novel research papers on machine learning based solutions in the context of scientific programming, particularly, in the use and development of models, programming languages, scientific programming libraries, simulations, environments, platforms, and software tools. The focus is on supporting and improving scientific and engineering computing when machine learning methods and techniques are used.

The submission of papers making practical contributions is encouraged. Review articles which describe the current state of the art for specific knowledge domains are also welcome.

Potential topics include but are not limited to the following:

  • Machine learning models in the context of scientific computing
  • Domain-specific languages for any machine learning related aspect to facilitate solving scientific problems
  • Software libraries for machine learning to be applied in scientific environments
  • Novel uses of machine learning algorithms for scientific programming
  • Machine learning related software design patterns for scientific computing
  • Machine learning related software infrastructures, architectures and platforms for scientific computing
  • Simulations covering aspects of machine learning to solve scientific programming problems

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 7896462
  • - Editorial

Novel Advances in the Development of Machine Learning Solutions for Scientific Programming

Vicente García-Díaz | Edward R. Núñez-Valdez | ... | Carlos E. Montenegro-Marin
  • Special Issue
  • - Volume 2019
  • - Article ID 6897345
  • - Research Article

Effects of Challenging Weather and Illumination on Learning-Based License Plate Detection in Noncontrolled Environments

A. Rio-Alvarez | J. de Andres-Suarez | ... | B. López Pérez
  • Special Issue
  • - Volume 2019
  • - Article ID 9195845
  • - Research Article

Avionics Graphics Hardware Performance Prediction with Machine Learning

Simon R. Girard | Vincent Legault | ... | Jean-François Boland
  • Special Issue
  • - Volume 2019
  • - Article ID 2962040
  • - Research Article

Design and Development of a Large Cross-Lingual Plagiarism Corpus for Urdu-English Language Pair

Israr Haneef | Rao Muhammad Adeel Nawab | ... | Imran Sarwar Bajwa
  • Special Issue
  • - Volume 2019
  • - Article ID 9313571
  • - Research Article

Towards the Construction of a User Unique Authentication Mechanism on LMS Platforms through Model-Driven Engineering (MDE)

Jhon Francined Herrera-Cubides | Paulo Alonso Gaona-García | Geiner Alexis Salcedo-Salgado
  • Special Issue
  • - Volume 2019
  • - Article ID 5901087
  • - Research Article

Consensus Clustering-Based Undersampling Approach to Imbalanced Learning

Aytuğ Onan
  • Special Issue
  • - Volume 2019
  • - Article ID 1293194
  • - Research Article

A Nondisturbing Service to Automatically Customize Notification Sending Using Implicit-Feedback

Fernando López Hernández | Elena Verdú Pérez | ... | Rubén González Crespo
  • Special Issue
  • - Volume 2019
  • - Article ID 9431073
  • - Research Article

Design and Implementation of a Machine Learning-Based Authorship Identification Model

Waheed Anwar | Imran Sarwar Bajwa | Shabana Ramzan
  • Special Issue
  • - Volume 2018
  • - Article ID 1890683
  • - Research Article

A Low-Cost Named Entity Recognition Research Based on Active Learning

Han Huang | Hongyu Wang | Dawei Jin
  • Special Issue
  • - Volume 2018
  • - Article ID 6385104
  • - Research Article

A 64-Line Lidar-Based Road Obstacle Sensing Algorithm for Intelligent Vehicles

Hai Wang | Xinyu Lou | ... | Long Chen
Scientific Programming
 Journal metrics
Acceptance rate27%
Submission to final decision66 days
Acceptance to publication33 days
CiteScore2.300
Impact Factor0.963
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