New Advances in Applied Machine Learning
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 September 2024 | Viewed by 56
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid pace of advancements in machine learning technologies has profoundly impacted research in sciences and technologies, and is continually driving innovation and revolutionizing how complex problems are tackled within various domains.
We are pleased to announce a Special Issue of Applied Sciences dedicated to showcasing the latest advancements in the field of applied machine learning (ML) across various scientific disciplines.
The scope of this Special Issue encompasses a broad range of topics related to applied machine learning, including but not limited to:
- Novel algorithms and techniques;
- Deep learning applications;
- Natural language processing;
- Automated machine learning;
- Tiny machine learning;
- Multi-modal machine learning;
- Self-supervised machine learning;
- Few-shot machine learning;
- Human–AI collaboration
The specific domains of application include, but are not limited to, healthcare, industry, agriculture, material science, energy, climate science, smart infrastructures, remote sensing, robotics, automation and education.
In this Special Issue, researchers are encouraged to submit original research articles, reviews, and case studies that contribute to the advancement of applied machine learning.
We look forward to receiving your contributions.
Dr. Mónica Vieira Martins
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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
- machine learning
- deep learning
- natural language processing
- automated machine learning (AutoML)
- tiny machine learning (TinyML)
- multi-modal learning
- few-shot learning
- human-AI collaboration
