Write in a clean editor, then format for Technologies in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Technologies is a peer-reviewed journal published by MDPI, covering Additive Manufacturing and 3D Printing Technologies, Context-Aware Activity Recognition Systems, Advanced Neural Network Applications. Over its lifetime it has published 2,165 papers, which have received 25,754 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Technologies 2023, 12, 45–58.
Formats any DOI in Technologies style. No sign-up. |
| Publishes research in | Additive Manufacturing and 3D Printing Technologies Context-Aware Activity Recognition Systems Advanced Neural Network Applications IoT and Edge/Fog Computing Digital Transformation in Industry |
| ISSN | 2227-7080 |
| Citation impact (2-yr) | 4.73 |
| h-index | 63 |
| i10-index | 595 |
| Article processing charge | $1,515 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Universitatea Națională de Știință și Tehnologie Politehnica București |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Heart disease, one of the main reasons behind the high mortality rate around the world, requires a sophisticated and expensive diagnosis process. In the recent past, much literature has demonstrated machine learning approaches as an opportunity to efficiently diagnose heart disease patients. However, challenges associated with datasets such as missing data, inconsistent data, and mixed…
Deep learning has been the answer to many machine learning problems during the past two decades. However, it comes with two significant constraints: dependency on extensive labeled data and training costs. Transfer learning in deep learning, known as Deep Transfer Learning (DTL), attempts to reduce such reliance and costs by reusing obtained knowledge from a…
The evolving global landscape for electrical distribution and use created a need area for energy storage systems (ESS), making them among the fastest growing electrical power system products. A key element in any energy storage system is the capability to monitor, control, and optimize performance of an individual or multiple battery modules in an energy…
In recent years, with the current advancements in Robotics and Artificial Intelligence (AI), robots have the potential to support the field of healthcare. Robotic systems are often introduced in the care of the elderly, children, and persons with disabilities, in hospitals, in rehabilitation and walking assistance, and other healthcare situations. In this survey paper, the…
Recently, the use of extended reality (XR) systems has been on the rise, to tackle various domains such as training, education, safety, etc. With the recent advances in augmented reality (AR), virtual reality (VR) and mixed reality (MR) technologies and ease of availability of high-end, commercially available hardware, the manufacturing industry has seen a rise…
