THE GROWTH OF THE DOMESTIC MACHINES TOOL INDUSTRY IN THE ECONOMIC CRISIS by O. Demkina, T. Yurchenko

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Working conditions of an operator‑caster on automatic machines and lines by A. M. Lazarenkov, M. A. Sadokha

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Optimization of Toolpath Planning and CNC Machine Performance in Time-Efficient Machining by Arbnor Pajaziti, Orlat Tafilaj, Afrim Gjelaj, Besart Berisha

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Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks by Kwang-il Hwang, Sung-Hyun Yoon

“…Even though a lot of research has made significant contributions to advances in sensor networks, sensor network protocols, which have different characteristics according to the target application, might confuse machine-to-machine (M2M) network designers when they choose the protocol most suitable for their specific applications. …”
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Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks by Ruiguo Yu, Zhenxia Yuan, Mankun Zhao, Mei Yu, Xu Lu

“…Machine-to-machine (M2M) technology that allows machine devices to communicate directly with each other without human intervention has emerged as a cutting-edge technology for next-generation communication. …”
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A Study on Elements of Machine Vision and Machine Learning in Industrial Vision Systems by Jarosław PANASIUK (jaroslaw.panasiuk@wat.edu.pl), Adrianna ADAMUS (adrianna.adamus@student.wat.edu.pl)

“…The article presents an analysis of issues regarding the current state and prospects of using machine learning elements in industrial applications of vision systems. …”
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Wireless Machine to Machine Based Mobile Substation Monitoring for District Heating System by Cheng Bo, Cheng Xin, Zhang Chengwen, Liu Ying, Chen Junliang

“…This paper presents a wireless machine to machine based district heating monitoring solution that uses smart mobile devices in a global network. …”
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Scheduling on a Single Machine and Parallel Machines with Batch Deliveries and Potential Disruption by Hua Gong, Yuyan Zhang, Puyu Yuan

“…In this paper, we study several coordinated production-delivery scheduling problems with potential disruption motivated by a supply chain in the manufacturing industry. Both single-machine environment and identical parallel-machine environment are considered in the production part. …”
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Prediction of the remaining useful life of a milling machine using machine learning by Abbas Al-Refaie, Majd Al-atrash, Natalija Lepkova

Subjects: “…Machine Learning…”
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Similarity-Based Summarization of Music Files for Support Vector Machines by Jan Jakubik, Halina Kwaśnicka

“…These results suggest that adjusting deep learning methods to build data representations that target a specific classifier or regressor can open up new perspectives for the use of standard machine learning methods in music domain.…”
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Noise-augmented chaotic Ising machines for combinatorial optimization and sampling by Kyle Lee, Shuvro Chowdhury, Kerem Y. Camsari

“…Abstract Ising machines are hardware accelerators for combinatorial optimization and probabilistic sampling, using stochasticity to explore spin configurations and avoid local minima. …”
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Predicting Tunnel Squeezing Using Multiclass Support Vector Machines by Yang Sun, Xianda Feng, Lingqiang Yang

“…This study presents a modified application of a multiclass support vector machine (SVM) to predict tunnel squeezing based on four parameters, that is, diameter (D), buried depth (H), support stiffness (K), and rock tunneling quality index (Q). …”
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La vie des machines dans les territoires postcoloniaux by Alberto Preci, Nicolas Richard, Pierre Gautreau

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