An Improved Droop-Based Adaptive Virtual Impedance for Accurate Power Sharing Among Multiple DGs in Islanded Microgrid by Ahmed M. Abouassy, Hamoud Alafnan, Diaa-Eldin A. Mansour, Abdullah Albaker, Tamer F. Megahed

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Hybrid Grey–Fuzzy Approach for Optimizing Circular Quality Responses in Plasma Jet Manufacturing of Aluminum Alloy by Ivan Peko, Boris Crnokić, Jelena Čulić-Viskota, Tomislav Matić

“…Process parameters whose effects were analyzed are the cutting speed, arc current and cutting height. …”
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Microfriction Stir Welding of Aluminium Using ABB IRB 1410 Robot by R. Manoj Samson, R. Aravind, Solomon Jenoris Muthiya, Joshuva Arockia Dhanraj, Karthikeyan Velmurugan, Saw Lin Oo

“…Robots are multifunctional reprogrammable machines tuned to be used in any process with high accuracy and repeatability. …”
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Solid Core Magnetic Gear Systems: A Comprehensive Review of Topologies, Core Materials, and Emerging Applications by Serkan Sezen, Kadir Yilmaz, Serkan Aktas, Murat Ayaz, Taner Dindar

“…However, the broad application potential of these technologies requires a comprehensive evaluation of engineering parameters, such as material selection, energy efficiency, and structural design. …”
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Chat-RSC: interactive remote sensing image classification via large language models by Xin Pan, Xiangfei She, Xiaofeng Li, Jian Zhao

“…It captures the key intentions and parameters of the users through the ‘function calling’ ability of the LLM, enabling control of remote sensing image classification process through conversion. …”
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Comparative experimental study of different bearings vibration using FFT and statistical feature extraction by Wafa Abd Soud, Baqer Ihsan A.

“…They're the most commonly used in mechanical parts in rotary machines under the effect of load and different angular speeds: 1488 rpm, 1900 rpm, and 2450 rpm. …”
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Acoustic emission approach to optimize friction stir additive manufacturing process for magnesium alloy ZE41 by Divya Zindani, Divya Zindani, A. K. Lakshminarayanan, A. K. Lakshminarayanan, A. Joshua, A. Joshua, Robert Čep, K. Logesh

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Characteristic of the power decay length of small ELMs measured by infrared camera on EAST by G.T. Chen, Q.Q. Yang, J.H. Yang, X. Lin, H. Yang, Z.D. Yang, R.R. Liang, T.H. Wang, B.H. Zhang, L. Wang, Y.W. Sun, G.S. Xu, F.C. Zhong

“…Small edge-localized-mode (ELM) regimes are being studied as promising solution to reduce the heat flux to the first-wall within tolerable levels in future machines. This study represents the first utilization of a high-resolution infrared camera system on the Experimental Advanced Superconducting Tokamak to investigate the heat flux characteristics of small ELMs. …”
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Application of container-transformer «Smartbox» for transportation of liquid vegetable oil by Korotkiy A.A., Fetyukhina O.N., Kolganova T.S., Panfilov A.V., Egelsky V.V.

“…The transport companies need not just machines for cargo transportation, but effective solutions to transport problems, that allow increasing the profitability of the business. …”
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Effects of surface roughness obtained by milling on interface bonding quality for 316H during metal additive forging by Xiuru Li, Boyang Luo, Jingyang Feng, Yong Zhao, Zhaocheng Wei, Jiang Guo, Minglong Guo, Minjie Wang

“…This study prepared samples with various surface roughness through milling, and introduced three parameters, Ra, Rc, and Rsm, to quantify surface roughness. …”
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A method of fatigue life prediction for rubber materials based on convolutional neural network by Jiao Li, Qi Li, Feng Wang, Liuxiangzi Yang, Mingshan Lou

“…Meanwhile, data-driven models such as back-propagation neural networks (BPNN) or support vector machines (SVM) are often constrained by limited dataset sizes and uncertainties in model parameters, leading to low prediction accuracy for fatigue life. …”
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InMemQK: A Product Quantization Based MatMul Module for Compute-in-Memory Attention Macro by Pengcheng Feng, Yihao Chen, Jinke Yu, Hao Yue, Zhelong Jiang, Yi Xiao, Wan’ang Xiao, Huaxiang Lu, Gang Chen

“…However, the exponential increase in model parameters has led to limitations in inference speed and energy efficiency. …”
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Assessment of Depth Contact Endurance of Surface-Hardened Gears by Sergei P. Rudenko, Aleksandr L. Valko, Sergei G. Sandomirski

“…The main factors determining the performance of highly stressed surface-hardened gears of transmissions of energy-consuming machines are the parameters of a hardened layer, especially the behavior of hardness distribution over its thickness. …”
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Interface microstructural and mechanical properties of Al/Mg bimetal composites fabricated by friction stir additive manufacturing by Wenxin Zhang, Yang Chen, Mingxing Han, Long Li, Ashish Kumar, Song Gao, Chuansong Wu, Lei Shi

“…Under optimal FSAM parameters (600 rpm, 75 mm/min, 3 mm pin length), the maximum tensile strength reached 215 MPa (transverse) and 220 MPa (longitudinal). …”
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The influence of branch inclination angles on the dynamic response of the olive tree to trunk shaking by Pedro Sanchez-Cachinero, Fernando Aragon-Rodriguez, Sergio Tombesi, Rafael R. Sola-Guirado

“… Traditional and intensive olive groves account for a large part of today’s olive orchards and their harvesting is based on trunk shakers. The vibration parameters set in these machines and the biomechanical properties of the olive tree influence the detachment process. …”
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Crashworthy Examination of a Newly Proposed Impact Attenuator Design: Experimental Testing and Numerical Analysis by Laksmana Widi Prasetya, Aditya Rio Prabowo, Ubaidillah Ubaidillah, Syamsul Hadi, Raymundus Lulus Lambang Govinda Hidajat, Tuswan Tuswan, Ristiyanto Adiputra

“…The proposed impact attenuator design under the predetermined parameters showed that used cans of aluminum 6063 series can be recommended as an alternative material in this system.…”
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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

“…This paper addresses the issue of noise interference and variable working conditions in the production and machining environment, which lead to weak tool life features and reduced prediction accuracy. …”
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Advanced thermal management in X-ray systems using magnetohydrodynamic nanofluids and Cattaneo-Christov heat flux model by Maryam Johari, Hossein Ali Hoshyar, Esmail Dabirian, Davood Domiri Ganji

“…Notably, the inclusion of nanoparticles significantly enhances heat transfer, making nanofluids a promising solution for cooling high-energy systems in radiology and X-ray machines.…”
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Research on Rotary Magnetorheological Finishing of the Inner Surface of Stainless Steel Slender Tubes by Zhaoyang Luo, Chunya Wu, Ziyuan Jin, Bing Guo, Shengdong Gao, Kailei Luo, Huiyong Liu, Mingjun Chen

“…In order to solve the challenge of difficult machining of their inner surfaces, this paper introduces a novel rotary magnetorheological finishing (RMRF) method specifically designed for processing the inner surfaces of slender tubes. …”
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Prediction of bladder tumor relapse based on the risk factors and characteristics of the treatment. by R. N. Molchanov, O. B. Blyuss

“…These rules have been used to create a logistic regression and support vector machines. Of 190 patients, in 132 (69,5%) transitional cell carcinoma (TCC) in the stage Ta-T1, in 58 (30,5%) - transitional cell papilloma of the bladder (TCP) was identified. …”
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