Investigation of the electrospark coating, alloying and strengthening technology by S. P. Glushko

“…Coatings of this thickness make it possible not only to strengthen, but also to restore the dimensions of worn machine parts. The parameters of the technological modes of electrospark alloying significantly affect the intensity of coating application and the quality of the resulting surface. …”
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Electrical Discharge Machining of Al (6351)-5% SiC-10% B4C Hybrid Composite: A Grey Relational Approach by S. Suresh Kumar, M. Uthayakumar, S. Thirumalai Kumaran, P. Parameswaran, E. Mohandas

“…Contributions of each machining parameter to the responses are calculated using analysis of variance (ANOVA). …”
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A Novel Hybrid-Excited Modular Variable Reluctance Motor for Electric Vehicle Applications: Analysis, Comparison, and Implementation by Mohammad Amin Jalali Kondelaji, Mojtaba Mirsalim

“…This paper introduces a new double-stator, 12/14/12-pole three-phase hybrid-excited modular variable reluctance machine (MVRM) for EV applications. In order to demonstrate the superiorities of the proposed structure, the static torque characteristics and dynamic performances of the novel MVRM are compared with two other VRMs with similar dimensions and parameters. …”
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A performance evaluation of silver nanorods PDMS flexible dry electrodes for electrocardiogram monitoring by C. M. Vidhya, Ghanshyam Kumar, Yogita Maithani, Bhanu Duggal, J. P. Singh

“…Signal quality was assessed based on parameters such as signal-to-noise ratio, mean amplitude, maximum amplitude, power spectral density, and heart rate comparison. …”
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Enhanced Light-Gradient Boosting Machine (GBM)-Based Artificial Intelligence-Blockchain-Based Telesurgery in Sixth Generation Communication Using Optimization Concept by Punitha S., Preetha K. S.

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Adaptive Torque Control for Process Optimization in Friction Stir Welding of Aluminum 6061-T6 Using a Horizontal 5-Axis CNC Machine by Austin Clark, Ihab Ragai

“…The Taguchi and ANOVA methods were utilized to define parameter tables and analyze the resulting data. Optical microscopy and tensile tests were performed on the welded samples to evaluate weld quality. …”
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High frequency resonance mitigation of microgrid-connected PV units using novel adaptive control based on virtual impedance and machine learning algorithm by Mohammad Hossein Nemati, Mohammad Hossein Shaabani, Navid Dehghan, Gevork B. Gharehpetian

“…This study proposes a novel adaptive control framework that combines virtual impedance (VI) methods with a machine learning-based tuning strategy using K-Nearest Neighbors (KNN) algorithm. …”
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GROUNDWATER POTENTIAL ZONE IDENTIFICATION USING REMOTE-SENSINGBASED/GIS BASED MACHINE AND ANALYTICAL HIERARCHY PROCESS (AHP) FOR ABBAY WATERSHED, EAST AFRICA by Agegnehu Kitanbo Yoshe

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Pengaruh Sudut Geram dan Parameter Pemesinan Terhadap Keausan Tepi Pahat High Speed Steel (HSS) pada Proses Bubut Glass Fibre Reinforce Polymer (GFRP) by Muhammad Yusra Nusa, Firman Ridwan

“…The high rate of tool wear is an obstacle in machining of GFRP material. This research was conducted to investigate turning behavior towards the occurrence of flank wear on HSS devices by varying machining parameters such as rake angle, spindle speed and feed rate. …”
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Robust Driving Control Design for Precise Positional Motions of Permanent Magnet Synchronous Motor Driven Rotary Machines with Position-Dependent Periodic Disturbances by Syh-Shiuh Yeh, Zhi-Hong Liu

“…Position-dependent periodic disturbances often limit the accuracy and smoothness of the positional motion of permanent magnet synchronous motor (PMSM)-driven rotary machines. Because the period of these disturbances varies with the motion velocity of the rotary machine, spatial domain control methods such as spatial iterative learning control (SILC) and spatial repetitive control (SRC) have been proposed and applied to improve rotary machine motion control designs. …”
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Open-Phase Fault Tolerant Model Predictive Current Controller for Asymmetrical Dual Three-Phase Permanent Magnet Synchronous Machine Drive System by Adriano Navarro-Temoche, Josu Jugo, Edorta Ibarra, Inigo Kortabarria, Endika Robles

“…Asymmetrical dual three-phase permanent magnet synchronous machine (DTP-PMSM) drives have attracted the attention of the scientific community and the industry for high-performance electromobility applications. …”
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Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

“…The findings highlight a critical temporal transferability gap, especially for the TR parameter, limiting the current operational readiness of standard ML models. …”
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Snow depth inversion and mapping at 500 m resolution from 1980 to 2020 in Northeast China using radiative transfer model and machine learning by Yanlin Wei, Xiaofeng Li, Lingjia Gu, Zhaojun Zheng, Xingming Zheng, Tao Jiang

“…Accurate snow cover parameter assessment and mapping at a fine resolution can have profound implications for our understanding of the planet’s water balance and energy dynamics. …”
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A Hybridization of Machine Learning and NSGA-II for Multi-Objective Optimization of Surface Roughness and Cutting Force in ANSI 4340 Alloy Steel Turning by Anh-Tu Nguyen, Van-Hai Nguyen, Tien-Thinh Le, Nhu-Tung Nguyen

“…This work focuses on optimizing process parameters in turning AISI 4340 alloy steel. A hybridization of Machine Learning (ML) algorithms and a Non-Dominated Sorting Genetic Algorithm (NSGA-II) is applied to find the Pareto solution. …”
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Taguchi’s L₁₈ Design of Experiments for Investigating the Effects of Cutting Parameters on Surface Integrity in X5CrNi18-10 Turning by Csaba Felhő, Tanuj Namboodri, Raghawendra Pratap Singh Sisodia

“…This research aims to understand the effect of cutting parameters on surface integrity and highlight the parameters that provide good results. …”
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Experimental Investigation and Simultaneous Optimisation of Honing Parameters of Dry Cast Iron Cylinder Relining Sleeves of Motor Vehicle Engine Blocks for Surface Finish and Energ... by Nicholas Tayisepi, Lameck Mugwagwa, Albert Mnkandla, Innocent Mapindu, Takudzwa Muhla

“…The study results confirms that significant Energy could be saved by optimising process parameters at the machining planning stage.…”
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High Spatial Resolution Soil Moisture Mapping over Agricultural Field Integrating SMAP, IMERG, and Sentinel-1 Data in Machine Learning Models by Diego Tola, Lautaro Bustillos, Fanny Arragan, Rene Chipana, Renaud Hostache, Eléonore Resongles, Raúl Espinoza-Villar, Ramiro Pillco Zolá, Elvis Uscamayta, Mayra Perez-Flores, Frédéric Satgé

“…Soil moisture content (SMC) is a critical parameter for agricultural productivity, particularly in semi-arid regions, where irrigation practices are extensively used to offset water deficits and ensure decent yields. …”
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MODELING OF TOOL DEFORMATION OFFSETTING TO WORKPIECE IN TURNING by Vilor L. ZAKOVOROTNIY, Dinh Tung PHAM, Xuan Chiem NGUYEN

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AI-assisted study of auxetic structures by Sergej Grednev, Henrik S. Steude, Stefan Bronder, Oliver Niggemann, Anne Jung

“… In this study, the viability of using machine learning models to predict stress-strain curves of auxetic structures based on geometry-describing parameters is explored. …”
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Development of predictive models for differential diagnosis of hypertrophic cardiomyopathy by V. V. Zaitsev, K. S. Safronov, K. S. Konasov, T. R. Bavshin, K. A. Manokhin, L. A. Obraztsova, O. M. Moiseeva

“…The original dataset contains 74 parameters. Machine learning models of the following classes were created and optimized: logistic regression, support vector machine, decision tree, and gradient boosting decision trees.Results. …”
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