Machine Vision and Machine Learning in Interdisciplinary Research
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 October 2024 | Viewed by 506
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the burgeoning field of Machine Vision and Machine Learning (MV&ML) and their applications in interdisciplinary research. This Issue will delve into the innovative integration of MV&ML across various domains, including but not limited to healthcare, environmental monitoring, industrial automation, and smart cities. The scope and themes include the following:
- Industry 4.0 and Manufacturing Applications: Here, we invite papers that discuss the integration of MV&ML in industrial automation, quality control, predictive maintenance, and supply chain optimization.
- Technological Innovations in Machine Vision and Machine Learning: This theme will focus on the latest advancements in algorithms, techniques, and methodologies in MV&ML. Papers may cover areas such as deep learning, neural networks, pattern recognition, and image processing, emphasizing their novel application or theoretical innovation.
- Healthcare and Life Sciences: We welcome studies demonstrating novel applications in medical imaging, predictive analytics, and BCI analysis.
- Environmental Monitoring and Smart Cities: This theme seeks research that applies MV&ML to environmental challenges and enhancing urban living, such as climate change analysis, wildlife monitoring, pollution tracking, infrastructure monitoring, and showcasing how these technologies contribute to smarter, more efficient cities.
- Ethical, Legal, and Social Implications: Papers under this theme will address the broader implications of MV&ML in society. Topics may include data privacy, ethical AI, the societal impact of automation, and the legal frameworks governing these technologies.
Dr. Yang Long
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
- computer vision
- manufacturing intelligence
- health intelligence
- environment intelligence
- AIðics
