Microstructural evolution of heat-treated 316L stainless steel using various etchants by Moumakwe Molebogeng, Arthur Nana K.K, Poopola Abimbola P.I, Raji Sadiq A.

“…This study investigates the effect of post-processing heat treatment of additively manufactured 316L stainless steel impellers to customize the treatment for optimal microstructure and mechanical performance. …”
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Numerical Simulation and Experimental Validation of Residual Stress in Heavy Machine Tool Crossbeam Casting During Demolding by Jingfan Cheng, Yiqi Zhang, Dunming Liao

“…A numerical simulation model for the demolding process was developed using proprietary Computer-Aided Engineering (CAE) software. …”
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Topology for gaze analyses - Raw data segmentation by Oliver Hein, Wolfgang H. Zangemeister

“…The method, namely identification by topological characteristics (ITop), is parameter-free and needs no pre-processing and post-processing of the raw data. The general and robust topological argument is easy to expand into complex settings of higher visual tasks, making it possible to identify visual strategies. …”
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Digital Twin Satellite Internet: Architecture and Key Technologies by Yaoqi LIU, Hongguang LI, Yiqing ZHOU, Jinglin SHI, Yongtao SU, Jinxi QIAN

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A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models by George Raftopoulos, Nikos Fazakis, Gregory Davrazos, Sotiris Kotsiantis

“…These approaches can generally be categorized into three main techniques: pre-processing (modifying data before training), in-processing (incorporating fairness constraints during training), and post-processing (adjusting outputs after model training). …”
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SEKO ALAS MLEBU GELAS by Moh Soehadha

“…There was an increase in knowledge based on the pre-test and post-test results. The key to increasing the income of coffee farmers is when they can unite the upstream activities of cultivation and post-harvest with the downstream activities of processing, roasting and brewing or in the expression bringing coffee "seko alas mlebu gelas" (from the field in the forest to the glass). …”
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STACKING ON COMMON REFLECTION SURFACE WITH MULTIPARAMETER TRAVELTIME by Montes V. Luis A., Cárdenas Contreras Andrés

“…To produce seismic sections, pre and post stack processing approaches use time or depth velocity models whereas the common reflection method does not, instead it requires a set of parameters established for the first layer. …”
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Discussion on Disaster Remote Sensing Application Service Based on Ground Information Port by Qiao HU, Zuoya ZHENG, Gang LIU, Linyao QIU, Yanfeng WU

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Research progress of digital image forensic techniques based on deep learning by Tong QIAO, Hongwei YAO, Binmin PAN, Ming XU, Yanli CHEN

“…In the new era of rapid development of internet, where massive forgery images with updated tampering techniques flood into, traditional algorithms are no longer able to deal with the latest multimedia tampering techniques, especially those caused by Deepfake and deep learning techniques.Thus, a universal framework for image forensics including image pre-processing module, feature extraction module and post-processing module designed for specific classification were proposed creatively.Accordingly, the state-of-the-art algorithms were reviewed，and meanwhile the main strength and limitations of current algorithms were generalized.More importantly, the future studies were also listed for advancing the development of digital image forensics.…”
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Application of Radionuclides Migration Software(MNS) in Radionuclides Diffusion Modeling by Yao LI, Rui-hao LI, Duo ZHOU, Xi CHEN, Yu-wei XU, Bo WANG

“…The workflow consists of pre-processing and post-processing stages. Pre-processing involves the construction of spatial models and parameter assignment, such as porosity, mineral density, radionuclide diffusion and migration parameters, and water flow velocity. …”
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Comprehensive DEM Calibration Using Face Central Composite Design and Response Surface Methodology for Rice–PLA Interactions in Enhanced Bucket Elevator Performance by Pirapat Arunyanart, Nithitorn Kongkaew, Supattarachai Sudsawat

“…The established parameter set enables accurate virtual prototyping of sustainable agricultural handling equipment, offering post-harvest processing engineers a powerful tool for optimizing bulk material handling systems with reduced environmental impact. …”
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Distinct neural representations of different linguistic components following sign language learning by Yael Coldham, Neta Haluts, Eden Elbaz, Tamar Ben-David, Nell Racabi, Shachar Gal, Michal Bernstein-Eliav, Naama Friedmann, Ido Tavor

“…Activation patterns while processing different linguistic components post-learning were spatially distinct, suggesting a unique neural representation for each component. …”
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Towards clinical applicability of fMRI via systematic filtering. by Jan Willem Koten, André Schüppen, Guilherme Wood, Martin Holler

“…For this purpose, we have developed a framework for post-processing fMRI signals using Savitzky-Golay (SG) filters in conjunction with general linear model (GLM) based data cleaning. …”
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Potentials of Natural Preservatives to Enhance Food Safety and Shelf Life: A Review by Ejigayehu Teshome, Sirawdink Fikreyesus Forsido, H. P. Vasantha Rupasinghe, Ebisa Olika Keyata

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ANALYSIS OF INFANT MORTALITY IN THE TERRITORY OF THE REPUBLIC OF ALTAI by Владимир Алексеевич Пелеганчук, Сергей Иванович Трибунский, Владимир Борисович Колядо, Елена Владимировна Колядо

“…Statistical processing of the obtained results. In the study, there was applied the technology of statistical processing and methods of the analysis of the dynamics of the same group of indices for the 5-year period. …”
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Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

“…This accuracy results from meticulous fine-tuning of the network, along with the application of advanced data augmentation and post-processing techniques.…”
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Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods by Hiren Solanki, Urmin Vegad, Anuj Kushwaha, Vimal Mishra

“…We used Multiple Linear Regression, Random Forest (RF), Extreme Gradient Boosting (XGB), and Long Short‐Term Memory (LSTM) for the post‐processing of simulated streamflow from HMs. …”
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Robust multisynchrosqueezing transform time frequency technologies with application to fault diagnosis by Haibin Wang, Junbo Long, Changshou Deng, Youxue Zhou

“…To address this limitation, several robust post-processing TFA technologies based on the fractional lower-order statistics theory have been proposed. …”
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Exploring the miscibility challenges of bio-based PLA/PBAT backbones in aluminium feedstock for metal material extrusion (MMEX) by Vahid Momeni, Zahra Shahroodi, Joamin Gonzalez-Gutierrez, Ivica Duretek, Stephan Schuschnigg, Thomas Grießer, Christian Kukla, Clemens Holzer

“…The results suggest that a careful balance of PLA and PBAT is essential for optimizing feedstock properties for MMEX, with formulations containing 15 vol.% PLA and 25 vol.% PBAT as the backbone and capability of increasing the powder loading to 58 vol.% showing the most promising results for both printability and post-processing stability.…”
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Impact of stabilizing mutations on the antigenic profile and glycosylation of membrane-expressed HIV-1 envelope glycoprotein. by Tommy Tong, Alessio D'Addabbo, Jiamin Xu, Himanshi Chawla, Albert Nguyen, Paola Ochoa, Max Crispin, James M Binley

“…An artificially introduced enterokinase cleavage site allowed post-expression gp120/gp41 processing, concomitantly increasing trimer stability. …”
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