Evolution of plastic deformation during multi-pass ECAP of an AA6060 aluminum alloy – An experimental flow line analysis by Nadja Berndt, Nadja A. Reiser, Martin F.-X. Wagner

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Study on Backfill Acoustic Emission Characteristics and Source Location under Uniaxial Compressive by Caixing Shi, Yicheng Wu, Lijie Guo, Yue Zhao, Wenyuan Xu

“…At each stage, the AE characteristic parameters such as the hits per second (HPS), the cumulative number of impacts, energy rate, and total energy vary a lot, which indicates the AE parameter reflects the internal failure evolution of the CTB sample. …”
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Predicting the thermal conductivity of polymer composites with one-dimensional oriented fillers using the combination of deep learning and ensemble learning by Yinzhou Liu, Weidong Zheng, Haoqiang Ai, Lin Cheng, Ruiqiang Guo, Xiaohan Song

“…CNN model was used to predict this structural parameter, the accuracy R2 can reach 0.950 on the test set. …”
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A metaheuristic optimization-based approach for accurate prediction and classification of knee osteoarthritis by Amal G. Diab, El-Sayed M. El-Kenawy, Nihal F. F. Areed, Hanan M. Amer, Mervat El-Seddek

“…The chosen features were categorized utilizing both deep learning and machine learning approaches. Finally, a CNN hyper-parameter algorithm was performed utilizing GGO. …”
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CEEMDAN-Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral-Bevel Gears by Lingli Jiang, Hongchuang Tan, Xuejun Li, Liman Chen, Dalian Yang

“…In order to obtain accurate permutation entropy values, the two key parameters, namely, embedding dimension and delay time, are optimized by using the overlapping parameter method. …”
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ML-Augmented Optimization of LoRa Antennas for Drone Telemetry by Pothala Chaya Devi, Ramarakula Madhu

“…Typically, antenna design involves complex computer simulations like CST and computationally intensive parameter sweeps. However, in this work a surrogate Artificial Neural Network (ANN) model trained on 1080 antenna designs replaces the heavy CST simulations. …”
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Determination of Pear Cultivars (Pyrus communis L.) Based on Colour Change Levels by Using Data Mining by Dilara Gerdan, Abdullah Beyaz, Mustafa Vatandaş

“…Colour is an essential parameter at product quality control stages, and finally, it is necessary for the consumer marketing decision. …”
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Discerning Misclassified Flat-spectrum Radio Quasars from Low-frequency-peaked BL Lacertae Objects by S. Liang, W. G. Yang, Y. G. Zheng, S. J. Kang

“…A support vector machine in the $\mathrm{log}{L}_{\gamma }$ –Γ _γ frame is utilized to delineate the optimal boundary between FSRQs and LBL sources. …”
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Investigating the strength performance of 3D printed fiber-reinforced concrete using applicable predictive models by Lu Qianyang, Mei Song, AlAteah Ali H., Alsubeai Ali, Eldin Mohammad Mohie, Ahmed Hafez Mohamed

“…In order to estimate the compressive strength (CS) and flexural strength (FS) of 3DP-FRC, the present study used gene expression programming (GEP) and Multi expression programming (MEP) for machine learning (ML). We ran a sensitivity analysis to go further into how important the input parameters were. …”
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Analisis Missalignment Dengan Vibration Trend Analysis by Kurnianto Joko Santoso

“…Untuk menghindari masalah pada mesin pompa maka pengambilan data vibrasi didapatkan dengan cara mengubah parameter pada machinery feet dan machinery foundation/base plate yaitu mengubah kondisi perubahan pada baut, kaki motor listrik, dan perubahan pada Shim. …”
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Dynamical Signatures of Trumpler 19: A Statistical and Photometric Perspective by A. H. Sheikh, Biman J. Medhi, Ram Sagar

“…We identified 810 cluster members using an ensemble-based unsupervised machine learning method applied to Gaia Data Release 3 astrometric data. …”
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Experimental Studies and Computational Fluid Dynamics Simulations to Evaluate the Characteristics of the Air Velocity Profile Generated by the Positive Pressure Ventilator by Piotr Kaczmarzyk, Bartosz Ziegler, Łukasz Warguła, Tomasz Burdzy, Tomasz Popielarczyk, Tomasz Sowa, Piotr Antosiewicz

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Decoding communicative action vitality forms in social contexts by Radoslaw Niewiadomski, Radoslaw Niewiadomski, Amrita Suresh, Alessandra Sciutti, Giuseppe Di Cesare, Giuseppe Di Cesare

“…Finally, we also demonstrate that automatic recognition of VFs is possible using traditional machine learning methods, with an accuracy of 87.3%. …”
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Model Selection Methods for Model-Bridge Simulation Calibration by Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki

“…Such attempts often obtain good parameters, though at a high computational cost, as they require running the simulation many times to explore the parameter space. …”
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MODELING AND STUDY OF HYDROELECTRIC GENERATING SETS OF SMALL HYDRO POWER PLANTS WITH FREQUENCY-CONTROLLED PERMANENT MAGNET SYNCHRONOUS GENERATORS by R. I. Mustafayev, L. G. Gasanova, M. M. Musayev

“…The paper offers employing frequency-controlled synchronous machines with permanent magnets qua generating units for the hydroelectric generating sets of small HPPs with Pelton turbines. …”
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Neural Network Optimization of Mechanical Properties of ABS-like Photopolymer Utilizing Stereolithography (SLA) 3D Printing by Abdulkader Ali Abdulkader Kadauw

“…The optimization of mechanical properties in acrylonitrile butadiene styrene-like (ABS-like) photopolymer utilizing neural network techniques presents a promising methodology for enhancing the performance and strength of components fabricated through stereolithography (SLA) 3D printing. This approach uses machine learning algorithms to analyze and predict the relationships between various printing parameters and the resulting mechanical properties, thereby allowing the engineering of better materials specifically designed for targeted applications. …”
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Layered Gradient Rhombic Dodecahedron Composite Structures for Biomimetic Bone Fabricated via Selective Laser Melting by Yun Zhai, Tianyuan Zhong, Shuangquan Guo, Sheng Lin, David Hui, Xiaowei Ma

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Reliability and Sensitivity of Enode/Vmaxpro Sensor for Muscle Power Assessment by Milan Marković, Lazar Toskić, Veroljub Stanković, Radenko Arsenijević, Nikola Aksović, Bojan Bjelica, Saša Bubanj, Tatiana Dobrescu

“…Twenty-seven participants (15 men and 12 women) underwent body composition analysis and testing on a combined leg extension/leg curl machine, performing the exercises with each leg individually under a 30% body mass load. …”
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Multivariate predictive modeling of compressive strength in ground granulated blast furnace slag/fly ash-based alkali-activated concrete by Dina A. Emarah

“…By incorporating diverse parameters, employing advanced machine learning techniques, and performing a comprehensive sensitivity analysis, this research establishes a new benchmark for predictive modeling of AAC's CS. …”
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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization by Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev

“…Abstract Gray Wolf Optimization (GWO), inspired by the social hierarchy and cooperative hunting behavior of gray wolves, is a widely used metaheuristic algorithm for solving complex optimization problems in various domains, including engineering design, image processing, and machine learning. However, standard GWO can suffer from premature convergence and sensitivity to parameter settings. …”
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