Machines is an international, peer-reviewed, open access journal on machinery and engineering published monthly online by MDPI. The IFToMM is affiliated with Machines and its members receive a discount on the article processing charges.

Machines, Volume 12, Issue 2 (February 2024) – 63 articles Cover Story ( view full-size image ): This paper presents a planar cable-driven model of a simple mechanism that is able to measure forces and displacements.

2024年12月23日 · The framework for fault diagnosis in electrical machines integrates advanced signal processing techniques, such as higher-order spectral analysis (HOSA), with cutting-edge artificial intelligence (AI) methodologies to achieve high diagnostic precision.

2024年12月13日 · Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.

2024年12月7日 · Its malfunction significantly disrupts train operations, potentially causing derailments. This paper proposes a sound-based fault diagnosis method, termed ERS (a method combining EMD, ReliefF, and SVM), for effective monitoring …

2024年11月15日 · Similarly, Raja and Prema used a hybrid model that combined support vector machines (SVMs) with GPT to investigate the relationship between AI and consumer engagement. Compared to conventional algorithms, their model’s classification and clustering accuracy in analyzing textual and sentimental consumer activities was significantly higher.

Interests: design of high precision machines; air-bearings design; micro cutting; ultraprecision machining; smart tooling * Section: Advanced Manufacturing Special Issues, Collections and Topics in MDPI journals

2024年11月27日 · In recent decades, the development of surgical systems which minimize patient impact has been a major focus for surgeons and researchers, leading to the advent of robotic systems for minimally invasive surgery. These technologies offer significant patient benefits, including enhanced outcome quality and accuracy, reduced invasiveness, lower blood loss, …

2024年10月22日 · Selecting the suitable ML algorithm (including linear regression, logistic regression, support vector machines, k-nearest neighbors, decision trees, random forests, neural networks, and deep learning) plays a critical role in the achievement of a metabolomics study.

2021年12月23日 · Computer codes and the overall design of NWP models, written in programming languages such as Fortran, were prepared for standard CPU machines, therefore research into the use of machine learning to emulate some parts of the model, or even the whole model, can be very beneficial for agencies and consortia in the future . It should be mentioned ...