Impacts of Inertia and Photovoltaic Integration on Existing and Proposed Power System Transient Stability Parameters by Ramkrishna Mishan, Xingang Fu, Chanakya Hingu, Mohammed Ben-Idris

“…Although transient stability indicators—for instance, the Critical Clearing Time (CCT), fault-induced short-circuit current ratios, and machine parameters, including subtransient–transient reactances and associated time constants—are influenced by total system inertia, their detailed evaluation remains insufficiently explored. …”
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Synthesis of a parametrically invariant servo drive using the model parameters recovery method by N. A. Malev

“…The operation of servodrives often proceeds in conditions of instability parameters and characteristics elements of the electric drive. …”
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Using mixture and exposome methods to assess the associations and interactions of chemical biomarkers with semen parameters by Maximilien Génard-Walton, Charline Warembourg, Paige L. Williams, Irene Souter, Jennifer B. Ford, Jorge E. Chavarro, Russ Hauser, Lidia Mínguez-Alarcón

“…Four mixture/exposome models, including exposome-wide association studies (ExWAS), Deletion/Substitution/Addition algorithm (DSA), Bayesian Kernel Machine Regression (BKMR), and the non-linear interaction model (NLinteraction), were used to evaluate associations between 24 chemical biomarkers (urinary bisphenol A, four parabens, triclosan, 17 phthalate metabolites, and hair mercury [Hg]) and semen parameters (sperm count, concentration, morphology, motility, and semen volume). …”
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Soil Parameter Inversion in Dredger Fill Strata Using GWO-MLSSVR for Deep Foundation Pit Engineering by Changrui Chen, Sifan Li, Jinbi Ye, Fangjian Chen, Yibin Wu, Jin Yu, Yanyan Cai, Jinna Lin, Xianqi Zhou

“…This study presents an inverse analysis method using Multioutput Least-Squares Support Vector Regression (MLSSVR) optimized by the Gray Wolf Optimization (GWO) algorithm to invert key parameters of the Hardening Soil (HS) model. A case study on a foundation pit in the dredger fill stratum of Xiamen Railway integrates finite element simulation with machine learning. …”
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Type-3 Fuzzy Dynamic Adaptation of the Crossover Parameter in Differential Evolution for the Optimal Design of Type-3 Fuzzy Controllers for the Inverted Pendulum by Patricia Ochoa, Cinthia Peraza, Patricia Melin, Oscar Castillo, Zong Woo Geem

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OPTIMIZATION OF TURNING PARAMETERS USING AN ALGORTIM BASED ON COMBINED LINEAR AND BINARY SEARCH METHODS by DAN GEORGE PRUTICA, GHEORGHE BRABIE, BOGDAN CHIRITA

“… Optimization of cutting parameters in machining operations is a complex task requiring extensive knowledge and experience to reach the maximum potential for cost reductions in manufacturing. …”
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Optimization on Operation Parameters in Reinforced Metal Matrix of AA6066 Composite with HSS and Cu by Y. Sesharao, T. Sathish, Kumaran Palani, Anjibabu Merneedi, Natrayan L, Melvin Victor De Poures, T. Maridurai

“…In this investigation, the L9 orthogonal array method is used to identify the optimum values of the turning parameters among the considered machining parameters concerning the response such as wear on the turning tool and thrust forces created on machining. …”
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Multi-parameter approach to evaluate the timing of memory status after 17DD-YF primary vaccination. by Christiane Costa-Pereira, Ana Carolina Campi-Azevedo, Jordana Grazziela Coelho-Dos-Reis, Vanessa Peruhype-Magalhães, Márcio Sobreira Silva Araújo, Lis Ribeiro do Vale Antonelli, Cristina Toscano Fonseca, Jandira Aparecida Lemos, Luiz Cosme Cote Malaquias, Matheus de Souza Gomes, Laurence Rodrigues Amaral, Maria Rios, Caren Chancey, Harold Richard Persi, Jorge Marcelo Pereira, Maria de Lourdes de Sousa Maia, Marcos da Silva Freire, Reinaldo de Menezes Martins, Akira Homma, Marisol Simões, Anna Yoshida Yamamura, Roberto Henrique Guedes Farias, Alessandro Pecego Martins Romano, Carla Magda Domingues, Pedro Luiz Tauil, Pedro Fernando Costa Vasconcelos, Iramaya Rodrigues Caldas, Luiz Antônio Camacho, Andrea Teixeira-Carvalho, Olindo Assis Martins-Filho

“…In this investigation, machine-enhanced techniques were applied to bring about scientific insights to identify a minimum set of phenotypic/functional memory-related biomarkers for post-vaccination follow-up upon yellow fever (YF) vaccination. …”
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Optimization of Cutting Parameters to Minimize Wall Deformation in Micro-Milling of Thin-Wall Geometries by Ahmet Hasçelik, Kubilay Aslantas, Bekir Yalçın

“…The most effective parameter on the machined thin-wall deformation was the feed rate, with 87.36%. …”
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Experimental determination and practical application of the four-pole parameters of structure-borne sound isolators by G. MELTZER, R. MELZIG-THIEL

“…Practical application of the four-pole parameters of vibration isolators is illustrated by examples in which calculations are performed for: structure-borne sound wave isolation by longitudinally vibrating continua and the excitation of structure-borne sound by machines.…”
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Study of the Press Fit Bearing-Shaft Joint Dimensional Parameters by Analytical and Numerical Approach by Zuzana Murčinková, Petr Baron, Martin Pollák

“…The study of press fit bearing-shaft joint dimensional parameters by means of analytical and numerical calculations in order to identify those parameters of the press fit joints which significantly influence the life of the bearings fitted by pressing is dealt in this paper. …”
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Solar Organic Rankine Cycle (ORC) Systems: A Review of Technologies, Parameters, and Applications by Dominika Matuszewska

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Influence of casting parameters on the surface and mechanical properties of leaded brass alloys: mechanistic insights by Maryama Hammi, Khadija El Bourakadi, Mohammed Dahhou, Charaf Lazrak, Abderrahim Eddaoui, Amine El haimeur

“…Abstract Leaded brass alloys are extensively used in mechanical applications due to their excellent machinability and durability. This study explores the impact of casting parameters, particularly the mold material and cooling rate, on the microstructure and mechanical properties of leaded brass alloys. …”
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Capabilities assessment for working bodies of rotary snowblowers through design and technological parameters study by D. S. Aleshkov, P. A. Korchagin, I. A. Teterina, E. V. Khirianov

“…The presence of such indicators makes it possible to reasonably choose the design scheme, geometric and kinematic parameters of the working bodies of rotary snowplows. …”
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Optimization of electrical discharge drilling parameters for precision micro-holes in SuperNi 276 by Nakarkanti Saidulu, Pappula Laxminarayana, Karrolla Buschaiah

“…This study focuses on optimizing Electrical Discharge Drilling (EDD) parameters to enhance micro-hole precision in Super Ni 276, a nickel-chromium-molybdenum alloy valued for its corrosion resistance and temperature stability. …”
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Study of the technical parameters dynamics influence on operational performance of hydraulic single-bucket excavators by R. F. Salikhov, V. B. Permiakov

“…The operation of transport and technological machines in construction processes for a long time leads to a decrease in their potential capabilities, including operational productivity. …”
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The Lobe-Type Agitator Parameters of the Seed-Metering Unit in the Seed-Fertilizer Drill Justification by D. Z. Yeskhozhin, S. O. Nukeshev, G. I. Lichman, Ye. S. Akhmetov, K. D. Yeskhozhin

“…(Results and discussion) The authors have experimentally confirmed the main parameters of the agitator and its resistance to movement in a seed medium. …”
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The Impact of Drilling Parameters on Drilling Temperature in High-Strength Steel Thin-Walled Parts by Yupu Zhang, Ruyu Li, Yihan Liu, Chengwei Liu, Shutao Huang, Lifu Xu, Haicheng Shi

“…High-strength steel has high strength and low thermal conductivity, and its thin-walled parts are very susceptible to residual stress and deformation caused by cutting heat during the drilling process, which affects the machining accuracy and quality. High-strength steel thin-walled components are widely used in aerospace and other high-end sectors; however, systematic investigations into their temperature fields during drilling remain scarce, particularly regarding the evolution characteristics of the temperature field in thin-wall drilling and the quantitative relationship between drilling parameters and these temperature variations. …”
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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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The Application of Fractal Analysis to the Description of Brushed Steel Surfaces by Paweł Karolczak, Maciej Kowalski, Katarzyna Raszka

“…The machining was conducted using an FWD 32J milling machine with a GE 950 G PLUS straight grinder together with an A11-CB15M brush mounted on it. …”
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