Application of Deep Learning and Big Data Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 87
Special Issue Editor
Special Issue Information
Dear Colleagues,
In today's digital age, deep learning and big data processing has drawn significant attention in the scientific community. Deep learning exhibits remarkable capabilities in handling complex tasks such as image and speech recognition, natural language processing, and decision-making. Its ability to autonomously learn intricate patterns from data empowers applications in diverse domains, revolutionizing fields like healthcare, finance, and autonomous systems. Big data processing involves efficiently managing and analyzing vast datasets, unlocking valuable insights for informed decision-making and driving innovations across industries.
This Special Issue mainly focuses on the application of deep learning and big data processing techniques in various scientific fields. We welcome original papers and review papers related to the topics below. Authors are encouraged to delve into real-world case studies, offering insights into challenges in deploying deep learning models on large-scale datasets. We are also interested in papers on scalable, efficient big data processing frameworks that enable the seamless integration of deep learning technologies. The topics of interest include but are not limited to the following:
- Computer Vision.
- Speech, Natural Language Processing and Understanding.
- Data Mining and Data Science.
- Distributed Computing.
- Big Data Infrastructure.
- Social and Economic Aspects of Deep Learning
Prof. Dr. Yuchong Hu
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computer vision
- natural language processing
- machine learning
- big data
- data processing
- AI for big data
- data system for AI
- distributed data management
- large-scale systems for data analysis
