Bearing Early Fault Diagnosis Based on an Improved Multiscale Permutation Entropy and SVM by Qunyan Jiang, Juying Dai, Faming Shao, Shengli Song, Fanjie Meng

“…IMPE was applied to feature extraction of early weak fault of rolling bearing and input into Support Vector Machines (SVMs) for faults classification. Aiming at SVM parameter optimization problem, an improved chaos firefly optimization algorithm was proposed. …”
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Facilitation of the Kinetics of Alkaline Water Electrolysis on Polycrystalline Nickel Electrode by Introduction of Acetone to 0.1 M NaOH Working Solution by Mateusz Kuczyński, Tomasz Mikołajczyk, Bogusław Pierożyński, Bartosz Pszczółkowski

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Out-of-step detection for synchronous generators using electrical power analysis and Durbin Watson testing by R. A. Mahmoud, E. S. Elwakil

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An Examination of Optimization Techniques for Resolving Hydro Generation Scheduling Issues by Bassam Mohsin Atiyah, Anwar H. Hameed

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Influence of the Radial Gap on the External Gear Pump Performance by Alexander Mitov, Nikolay Nikolov, Ivan Kralov

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Optimization of Energy Consumption of a Microwave-assisted Continuous Pilot Plant for the Processing of Shelled Almonds by Antonia Tamborrino, Alessandro Leone, Roberto Romaniello, Claudio Perone, Cosimo Dellisanti, Domenico Tarantino, Biagio Bianchi, Antonio Berardi

“…They defined the operating parameters of the machine to guarantee 100 % mortality of the insect at different life stages, without affecting the quality parameters of the product. …”
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Analysis of the gear tooth gearing by the module m = 2.625 mm of hydraulic pumps by A. V. Krivosheya, V. V. Voznyy, V. E. Melnyk

“…Diamond tools with different grain parameters, which are used in processing, have been developed and manufactured. …”
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Automated inference of disease mechanisms in patient-hiPSC-derived neuronal networks by Nina Doorn, Michel J. A. M. van Putten, Monica Frega

“…Here, we address this challenge using simulation-based inference (SBI), a machine-learning approach, to automatically estimate all model parameters that can explain network activity. …”
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Kinematics Analysis and Trajectory Optimization of the Hybrid Welding Robot by Cai Ganwei, Ban Caixia, Tian Junwei, Zhang Kechen

“…The particle swarm optimization algorithm is used to optimize the time parameters, and the optimal time parameters that meet the positioning accuracy of the end of the welding machine manipulator are solved. …”
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Deep cryo treated tungsten carbide tools on AISI 1045 steel turning through grey relational analysis and preference selection index by P Raja, M Sakthivel, T Satish Kumar, Jana Petrů, Kanak Kalita

“…In this context, the machining performance is largely influenced by the selection of process parameters and the condition of the cutting tool. …”
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Comparative Analysis of Different Graphite Concentrations in Micro-PMEDM Drilling by Chiara Ravasio, Giuseppe Pellegrini, Giuseppe Rosace, Valentina Trovato

“…Micro-electrical discharge machining is valuable in industry thanks to its ability to realise precise micro-holes with high aspect ratios. …”
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Regression-Based Modeling for Energy Demand Prediction in a Prototype Retail Manipulator by Piotr Kroczek, Krzysztof Lis, Piotr Przystałka

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Design and Experimental Study on Seed Metering Device of Peanut Plot Seeder by Wang Dongwei, Wang Jiasheng, Shang Shuqi

“…The seeding method and quality of the seeding machine depend mainly on the seed metering device. …”
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From Linear Programming Approach to Metaheuristic Approach: Scaling Techniques by Elsayed Badr, Mustafa Abdul Salam, Sultan Almotairi, Hagar Ahmed

“…The objective of this work is to propose ten efficient scaling techniques for the Wisconsin Diagnosis Breast Cancer (WDBC) dataset using the support vector machine (SVM). These scaling techniques are efficient for the linear programming approach. …”
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Predicting Wind Turbine Blade Tip Deformation With Long Short‐Term Memory (LSTM) Models by Shubham Baisthakur, Breiffni Fitzgerald

“…ABSTRACT Driven by the challenges in measuring blade deformations, this study presents a novel machine learning methodology to predict blade tip deformation using inflow wind data and operational parameters. …”
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Experimental Investigation on Wire Electric Erosion Behaviour of Silicon Dioxide Particulate Reinforced Composite by S.V. Alagarsamy, B. Vinoth, D. Deepak

“…The multi-objective optimization method of Technique for order preference by similarity to ideal solution (TOPSIS) approach has been applied to find out the optimal setting of input machining parameters such as peak current (Ip), pulse-on time (Ton) and pulse-off time (Toff). …”
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Automated differentiation of wide QRS complex tachycardia using QRS complex polarity by Adam M. May, Bhavesh B. Katbamna, Preet A. Shaikh, Sarah LoCoco, Elena Deych, Ruiwen Zhou, Lei Liu, Krasimira M. Mikhova, Rugheed Ghadban, Phillip S. Cuculich, Daniel H. Cooper, Thomas M. Maddox, Peter A. Noseworthy, Anthony Kashou

“…Methods In a three-part study, we derive and validate machine learning (ML) models—logistic regression (LR), artificial neural network (ANN), Random Forests (RF), support vector machine (SVM), and ensemble learning (EL)—using engineered (WCT-PC and QRS-PS) and previously established WCT differentiation features. …”
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Assessing Energy Efficiency in Desktop-Size FFF 3D Printers by Radosław Wichniarek, Filip Osiński

“…The results demonstrate a correlation between machine parameters and energy efficiency during the processing of PLA material. …”
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Elaboration of principles for developing technological systems for the finishing of gears by Yuriy Danylchenko, Michael Storchak

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A Fault Diagnosis Method for Planetary Gearboxes Based on IFMD by Fengfeng Bie, Xueping Ding, Qianqian Li, Yuting Zhang, Xinyue Huang

“…Subsequently, a convolutional neural network integrated with the support vector machine model (CNN-SVM) is established, leveraging the convolutional neural network for feature extraction. …”
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