Reliability of parts and unrestorable components in the machine design by Yu. P. Manshin, E. Yu. Manshina

“…In them, degrees are the ranking parameters of the system reliability indices.Research Results. …”
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Quantum Kernel Machine Learning With Continuous Variables by Laura J. Henderson, Rishi Goel, Sally Shrapnel

“…The popular qubit framework has dominated recent work on quantum kernel machine learning, with results characterising expressivity, learnability and generalisation. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…This will result in the development of new machine-learning paradigms and a significant advancement in the field of quantum computation. …”
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Evaluation of hydraulic fracturing using machine learning by Ali Akbari, Ali Karami, Yousef Kazemzadeh, Ali Ranjbar

“…Despite its effectiveness, traditional methods used to evaluate HF performance often struggle to capture the complex, nonlinear interactions among operational and geological parameters. This study presents a comprehensive machine learning (ML)-based framework to address this challenge by predicting HF efficiency using three widely used algorithms: Random Forest (RF), Support Vector Machine (SVM), and Neural Networks (NN). …”
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Design and Experiment of Automatic Fish Bleeding Machine by Shi Xiong, Lin He, Qiang Wei, Lijun Gou, Yunyun Feng, Qiaojun Luo

“…To address the mechanization requirements for efficient freshwater fish bloodletting, we developed an automated fish bleeding machine based on gill-based blood extraction principles, incorporating an impact-triggered positional bleeding methodology. …”
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Automated Machine-Tractor Unit for Grass Mowing by Z. A. Godzhaev, S. A. Vasilyev, S. A. Mishin, E. V. Ruzanov

“…This study presents the development of an automated machine-tractor unit (MTU) designed for grass mowing, incorporating universal mechatronic control modules. …”
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Surface Roughness Investigation Through Interplay of Cutting Speed and Thermal-Assisted Machining in High-Speed Machining of SKD11 Steel by Long-Vinh Bui, Thi-Bich Mac, Duc-Toan Nguyen

“…Ultimately, the study furnishes pragmatic recommendations for judiciously selecting cutting speeds and heating temperature parameters across diverse machining scenarios.…”
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Performance optimization of D2 tool steel machining using novel multi-material cladded electrodes in electric discharge machining by Shoaib Mohammad, M. Wasiq Habib, Ammara Kanwal, Muhammad Asim, Muhammad Farooq, Imran Zahid, Noreen Sher Akbar, Hussein Togun, Fahid Riaz

“…This work evaluates a novel approach of employing copper and graphite multi-material cladded electrodes in two configurations (copperin- graphiteout and graphitein- copperout) for their performance on material removal rate, surface roughness, tool wear ratio, overcut and depth of cut under electric discharge machining of D2 tool steel. Discharge current, pulse time ratio and spark voltage were taken as variable parameters and Taguchi L9 array was established to identify design of experiments (DOE) that are used for experimentation of each of the two configurations. …”
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Parameter Curvilinear Nets of the Involute Helicoid and Precision Analysis of the involute gear by Yang Guoling, et al.

“…In addition two old nets are wellknown six nets. One means of gear machining.corresponds to one of parameter curvilinearnets （or mathematical model）. …”
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Optimization and Simulation of Loading and Unloading Robot Structure Parameter of Production Line by Chuan Liao, Yinghua Liao, Jun Xie

“…Production line layout planning is closely related to robot structural parameter. For the intelligent production line of the headstock of a vertical machining center， in order to complete the work requirements of grabbing and flipping the workpiece， and reducing the operating space and structure size of the robot， a structural parameter optimization method for loading and unloading robots is proposed. …”
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Augmenting Fatigue Datasets for Improved Multiaxial Fatigue Strength Prediction with Neural Networks by Napon Opasanon, Leon Josef Stahr, Lukas Suchy, Alexander Hasse

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An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival by Saima Kanwal, Muhammad Abdullah, Sahil Kumar, Saqib Arshad, Muhammad Shahroz, Dawei Zhang, Dileep Kumar

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Determination of geometrical parameters of the diamond gear hones for the finishing of gears by Michael Storchak, Yuriy Danylchenko

“…Using the example of rolling gear tools such as diamond gear hones, an analysis of the influence the independent characteristics of machine engagement on the area of the tool geometric parameters existence is carry out. …”
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Learned Regularizations for Multi‐Parameter Elastic Full Waveform Inversion Using Diffusion Models by Mohammad H. Taufik, Fu Wang, Tariq Alkhalifah

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Calculation of Geometric Parameters of an Eccentric Transmission with Intermediate Rolling Elements by Mikhail E. Lustenkov, Abdullah H. Sofiyev, Isa A. Khalilov

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Justification of the parameters affecting the maneuverability of a four-wheeled tractor by Kambarov Bakhtiyor, Ashirov Vosit, Ravshanov Shavkat, Mirzayev Najmiddin

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Effect of Deformation Parameters on Thermomechanical Behaviour of GH500 Superalloy by Fu　Hao, Wang　Minshi, Dai　Pengchao

“…Different parameters such as deformation temperature and deformation rate were set for thermal compression tests， using the Thermecmastor-Z thermal simulation testing machine. …”
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Optimization of Cutting Parameters on Surface Roughness and Productivity when Milling Wood Materials by Nguyen Huu Loc, Trinh Quoc Hung

“…The quality of the machined surface is one of the most important criteria when products are processed. …”
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Study On Parameters and Operating Modes of the Device for Deseeding Flax in the Field by V. G. Chernikov, R. A. Rostovtsev, S. V. Solov’ev

“…(Conclusions) The authors presented a theoretical substantiation of the comb deseeder’s operating parameters and modes for stripping fiber flax in the field. …”
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The effect of suspension parameters on the properties of the coating obtained by the slip method by V. M. Samoylenko, G. T. Paschenko, E. V. Samoylenko, V. V. Shestakov

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