Scientific Programming

Data-Driven Scientific Programming and Intelligent Application


Publishing date
01 Aug 2022
Status
Published
Submission deadline
08 Apr 2022

Lead Editor
Guest Editors

1Qingdao University, Qingdao, China

2Chinese Culture University, Taipei, Taiwan

3Shandong Jianzhu University, Jinan, China


Data-Driven Scientific Programming and Intelligent Application

Description

This era of big data is defined by the generation of a large amount of scientific data in various fields, including industry, agriculture, transportation, education, medicine, and finance. The evolution of big data stimulates a growing interest in scientific programming. Data analysis technology could be introduced to scientific programming, forming a set of data-driven computational methodologies and techniques, which deepen the understanding and solution of complex problems. Through data-driven scientific programming, computer systems acquire the ability to learn and extract knowledge from data, and to analyze and solve real-world problems in many fields, eliminating the need of explicit programming. The existing models and methods could be improved by integrating scientific programming with big data techniques, making data-centric software products and services more robust, intelligent, reliable, and efficient. This integration will become a key enabler for the next wave of intelligent software systems and engineering.

Therefore, this Special Issue intends to report high-quality innovative applications of data-driven scientific programing that enhances and improves engineering methods, and develops real and sustainable environments for data-intensive science and intelligent engineering. We welcome the original research and review papers on the theories and applications, which effectively apply big data techniques and intelligent analysis into scientific programming. Considering the interdisciplinary nature of data-driven scientific programming, the integration of multiple approaches are highly valued, especially those in the following fields: model utilization and development, programming languages, as well as libraries, simulations, environments, platforms, and software tools of scientific programming. The Special Issue will focus on supporting and improving scientific and engineering computing, in the presence of big data techniques and intelligent analysis methods.

Potential topics include but are not limited to the following:

  • Data-driven scientific programming algorithms, methods, and languages
  • Data-driven software infrastructure, architectures, and platforms for scientific programming
  • Intelligent analysis approaches for scientific programming problems
  • Novel uses of data analysis algorithms for scientific programming
  • Scientific programming methods and models for data-driven engineering
  • Scientific programming methods for data-based intelligent analysis systems

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9789583
  • - Retraction

Retracted: SLAM 3D Digital Terrain Mapping with SqueezeNet Driven by Road Traffic Data

Scientific Programming
  • Special Issue
  • - Volume 2023
  • - Article ID 9841232
  • - Retraction

Retracted: Research on the Development of Localized Music Curriculum System Based on the Theory of Multiple Intelligences

Scientific Programming
  • Special Issue
  • - Volume 2022
  • - Article ID 9009204
  • - Research Article

Automatic Anomaly Monitoring Research of Business English Literature Translation Based on Decision Tree Intelligent Analysis

Shaoli Yan
  • Special Issue
  • - Volume 2022
  • - Article ID 7451825
  • - Research Article

Bearing Fault Diagnosis Based on Frequency Subbands Feature Extraction and Multibranch One-Dimension Convolutional Neural Network

Chih-Cheng Chen | Po-Yi Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 2277224
  • - Research Article

Construction and Analysis of Urban Traffic Noise Prediction Model Based on PSO Algorithm and BRF Network Structure

Yuehui Qiu
  • Special Issue
  • - Volume 2022
  • - Article ID 3764230
  • - Research Article

Research on the Semantic Analysis Method of Translation Corpus Based on Natural Language Processing

Xin Yue
  • Special Issue
  • - Volume 2022
  • - Article ID 1112392
  • - Research Article

Research on Intelligent Control Engineering of Green Low-Carbon Buildings Based on Improved Trilateral Positioning Algorithm

Ya Tu
  • Special Issue
  • - Volume 2022
  • - Article ID 7251081
  • - Research Article

Construction of Enterprise English Adaptive Learning Platform Based on Big Data Analysis

Chen Luo
  • Special Issue
  • - Volume 2022
  • - Article ID 3785542
  • - Research Article

Research on Low-Resolution Image Fusion Algorithm Based on Deep Learning

Yan Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 5391824
  • - Research Article

Environmental Design and Sustainable Development of Ecological Environment by Big Data Analysis and Computing: A Case Study of Tianjin

Guangsen Wei | Weidong Chen | ... | Sang-Bing Tsai

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