Artificial Intelligence and Data Science for Engineering Improvements

Dear Colleagues,

Recent years have seen a rise of techniques based on artificial intelligence (AI), machine learning (ML) or data science. The rapid increase in both the quantity and complexity of data that are being generated daily in the field of engineering demands an accompanying advancement in data analytics. Moreover, engineering processes also involve other challenges, such as dynamism and chaotic behaviours.

The arrival of big data, high computational speed, cloud computing and artificial intelligence techniques (such as machine learning, deep learning or data science) has reformed how many engineering professionals approach their work. Advanced data analysis approaches based on AI techniques have become crucial tools for the understanding of patterns or extracting correlations in which conventional methods have limitations.

Today, artificial intelligence techniques impact many engineering areas, such as manufacturing, industrial design, inspection, monitoring and control, repairs and maintenance of industrial assets and product testing and evaluation. In fact, engineers are now more able to design, deliver and maintain state-of-the-art equipment and tools in the healthcare, insurances, energy, oil and gas, education, aerospace, manufacturing and transportation industries with the help of AI techniques.

This Special Issue will bring together innovative works related to “Artificial Intelligence and Data Science for Engineering Improvements”, addressing several key issues that may include but are not limited to the following:

• Innovations in types of AI-based techniques;
• Innovations regarding the AI tasks performed;
• Novel AI application areas;
• Evaluation and assessment of AI techniques.

Dr. Goncalo Jesus
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 250 words) can be sent to the Editorial Office for assessment.

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. Eng is an international peer-reviewed open access monthly 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 1400 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.