Low-cycle fatigue of laser powder bed fusion-processed AlSi10Mg using recycled powder: Experiments and machine learning-assisted lifetime prediction by Michal Bartošák, Michal Jambor, Jiří Halamka, Lukáš Pelikán, Ondřej Stránský, Eliška Galčíková, Michal Slaný, Jakub Horváth, Šimon Petrášek, Ivo Šulák

“…The predicted data showed a good correlation with the experimental results.…”
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Dataset on fuel properties and volatile organic compounds from chemically synthesized biomass components for modeling and predicting biomass properties in pyrolysis processesDeposited in the Knowledge Base of UPWr by Ewa Syguła, Jacek Łyczko, Andrzej Białowiec

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Predicting the Compression Capacity of Screw Piles in Sand Using Machine Learning Trained on Finite Element Analysis by David Igoe, Pouya Zahedi, Hossein Soltani-Jigheh

“…Following development of the numerical database, various machine learning methods such as linear regression, neural networks, support vector machines, and Gaussian process regression (GPR) models were trained and tested on the database in order to develop a prediction tool for the pile compression capacity. …”
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Elman and feedforward neural network based models for predicting mechanical properties of flow formed AA6082 tubes by Tarak Nath De, Bikramjit Podder, Nirmal Baran Hui, Chandan Mondal, Vimal Kumar Pathak

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A two-parameter damage-controlled strength model to predict the fracturing of brittle rock mass at great depth by Songfeng Guo, Shengwen Qi, Shishu Zhang, Muhammad Faisal Waqar, Feng Xiong, Ning Liang, Bowen Zheng, Xingdong Ma, Fengjiao Tang

“…The prediction of brittle failure under excavation in high-stress hard rock materials is always a challenge in rock mechanics and geological engineering in the past few decades. …”
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A probability hypothesis density filter for tracking non‐rigid extended targets using spatiotemporal Gaussian process model by Sunyong Wu, Yusong Zhou, Yun Xie, Qiutiao Xue

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Development of a Self-Updating System for the Prediction of Steel Mechanical Properties in a Steel Company by Machine Learning Procedures by Valerio Zippo, Elisa Robotti, Daniele Maestri, Pietro Fossati, David Valenza, Stefano Maggi, Gennaro Papallo, Masho Hilawie Belay, Simone Cerruti, Giorgio Porcu, Emilio Marengo

“…This study is focused on the implementation of statistical learning methods for the prediction of the mechanical properties of steel products from the chemical profile of the raw material and the process parameters. …”
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Vers une nouvelle classification des modèles d'évaluation et de prédiction de l'érosion hydrique by Aïcha Fadil, Farid El Wahidi

“…Widely explored for several decades, these approaches allow predicting land losses and estimating risks associated with water erosion. …”
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Improvement Design of Packaged Juice Production Process using Business Process Reengineering by Novandra Rhezza Pratama, Putri Amaliyah Agustin

“…The models of the improvement solutions are then simulated and produce an improved production process time. This solution resulted in a 34.9% reduction in distance traveled and a 50.54% reduction in total processing time.…”
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Study on Start-Up Process of SAGD by Solvent: Experiment Research and Process Design by Jun Sun, Yanping Sun, Chengsheng Wang, Hui Lin, Wenchao Zhou, Yunchuan Fu, Shuliang Ren

“…But now, low price of oil and high cost of solvent make solvent-assisted start-up process limited. This paper applies experimental schemes, such as viscosity reduction rate evaluation, core flooding, and 3D physical simulation, tests solvent performance, optimizes process parameters, and designs process solutions. …”
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Wear behavior of microwave processed aluminum-based MMC subjected to secondary processing by Ashok Kumar M S

“…Subsequently, the microwave-processed material undergoes extrusion, involving an extrusion ratio of 12.25, resulting in a reduction in cross-sectional area. …”
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A Temporal Network Based on Characterizing and Extracting Time Series in Copper Smelting for Predicting Matte Grade by Junjia Zhang, Zhuorui Li, Enzhi Wang, Bin Yu, Jiangping Li, Jun Ma

Subjects: “…copper smelting process sensors’ data…”
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Enhancement of water-annular heavy oil transportation by superhydrophilic surface and its simulation by Yunyi HE, Tinghan YANG, Wei JIANG, Wei WANG, Zunzhao LI, Peixian WANG, Xudong JIA, Peng ZHAO

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ACCIDENT RISK ANALYSIS AT A DIESEL FUEL HYDROTREATING PLANT USING EMERGENCY PROTECTION SYSTEMS by Kairat K. Ospanov, Zhumabek K. Khasenov

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Efficient electrocatalytic reduction of CO2 on an Ag catalyst in 1-ethyl-3-methylimidazolium ethylsulfate, with its co-catalytic role as a supporting electrolyte during the reducti... by Sayyar Muhammad, Asad Ali

“…The product of the CO2 reduction in this IL medium at the Ag catalyst is CO, which can be converted to synthetic liquid fuels by coupling the process with the Fischer–Tropsch process or through the conversion of CO2 into fuels based on green hydrogen by the Sabatier process, that is, methanation of CO2 on industrial scale, in the future.…”
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From Field to Model: Determining EROSION 3D Model Parameters for the Emerging Biomass Plant <i>Silphium perfoliatum</i> L. to Predict Effects on Water Erosion Processes by Tobias Koch, Peter Aartsma, Detlef Deumlich, Peter Chifflard, Kerstin Panten

“…The assessment of soil conservation measures requires calibrated soil erosion models that spatially identify soil erosion processes. These support decision-making by farmers and policymakers. …”
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Pemilihan dan Implementasi Strategi Peningkatan Kenyamanan Termal Ruang Kuliah by Lusi Susanti, Hary Fandeli

Subjects: “…Analytical Hierarchy Process…”
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Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network by Aditya Pal, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

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Predictive Models of Business Value Management by Kaganovskyi Oleksandr S., Chmutova Iryna M.

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CO18 | Relationship between gut permeability and PCSK9 in heterozygous familial hypercholesterolemia

“…Furthermore, linear regression analysis showed that LPS levels were associated with LDL-C and zonulin reduction, suggesting a relationship between gut permeability and PCSK9 levels. …”
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