The International Federation for the Promotion of Mechanism and Machine Science (IFToMM) is affiliated with Machines and its members receive a discount on the article processing charges.

Open Access Article MomentumNet-CD: Real-Time Collision Detection for Industrial Robots Based on Momentum Observer with Optimized BP Neural Network by Jinhua Ye, Yechen Fan, Quanjie Kang, …

This study explores the optimization of the machining time in CNC milling machines by varying the machine parameters and toolpath strategies. Using the ICAM3D simulation software version 3.1.0, …

Nov 12, 2022 · The presented article concerns issues related to the diagnostics of the technical condition of the insulation of electrical machines. It discusses the importance of the operational …

Deep learning algorithms have become the key components of intelligent machines. Their ability to learn from data, adapt to different tasks, and provide superior performance has enabled for the …

About Machines Aims Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews and communications. Our aim is …

Open Access Article An Investigation of the Performance and Internal Flow of Variable Nozzle Turbines with Split Sliding Guide Vanes by Dengfeng Yang, Kai Wang, Huaiyu Wang, Qian Zhang, Xinguo Lei …

Sep 14, 2025 · In this study, we introduce a novel hybrid model that combines Restricted Boltzmann Machines (RBM) for nonlinear feature extraction with Logistic Regression (LR) for classification. The …

Development of a Bicycle-like Magnetic-Wheeled Climbing Robot with Adaptive Plane-Transition Capabilities Yongjian Bu, Lide Dun, Yongtao Deng, Bingdong Jiang, Aihua Jiang and Haifei Zhu …

Nov 10, 2025 · To address these limitations, data-driven and AI-integrated techniques have been extensively explored. Machine learning approaches—such as Support Vector Machines, Gaussian …