Cyber-physical systems in food production chain by A. B. Lisitsyn, I. M. Chernukha, M. A. Nikitina

“…This is possible due to the ability of CPSs to manage ongoing processes through automatic monitoring and controlling the entire production process and adjusting the production to meet customer preferences. …”
Get full text

Privacy-Preserving Clinical Decision Support for Emergency Triage Using LLMs: System Architecture and Real-World Evaluation by Alper Karamanlıoğlu, Berkan Demirel, Onur Tural, Osman Tufan Doğan, Ferda Nur Alpaslan

“…Federated training allows institutions to collaboratively improve models without sharing raw data, ensuring compliance with GDPR/HIPAA, and FAIR principles. …”
Get full text

Uncovering causal graphs in air traffic control communication logs for explainable root cause analysis by Agneza Krajna, Ana Šarčević, Mario Brčić, Kristijan Poje

“…The proposed methodology was tested on both synthetic and real data and showed promising results in analysing causal relationships in systems with raw and unstructured logs.…”
Get full text

Detection of surges of SARS-Cov-2 using nonparametric Hawkes models by Sophie Phillips, George Mohler, Frederic Schoenberg

“…A classifier based on Rt>x is applied to predict upcoming surges in cases each week from August 2020 to December 2021, using only data available up to that week. At false alarm rates below 5%, the forecasts based on Rt are correct more often than forecasts based on smoothing the raw case count data, achieving a maximum accuracy of 90% with Rt>1.39. …”
Get full text

Federated Learning Framework Based on Distributed Storage and Diffusion Model for Intrusion Detection on IoT Networks by Ricardo Manzano, Marzia Zaman, Darshana Upadhyay, Nishith Goel, Srinivas Sampalli

“…This transmission of raw data not only incurs substantial bandwidth costs but also raises significant privacy concerns. …”
Get full text

Removal of Malachite Green Dye from Aqueous Solution by a Novel Activated Carbon Prepared from Baobab Seeds Using Chemical Activation Method by Samah Daffalla

“…However, degradation declines above pH 6. Based on the BS-AAC data, MG removal kinetics were fitted with a first-order kinetic model, while BS-BAC data were fitted with a second-order kinetic model. …”
Get full text

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

“…A workflow for process data analysis has been developed, based on the use of machine learning algorithms to build an interface for data treatment to be directly used online. …”
Get full text

MODELING AND OPTIMIZATION OF POLYCOMPONENT FLOUR COMPOSITION FOR PRODUCTION OF GLUTEN-FREE MEATS by Oboturova N.P., Barybina L.I., Masalova V.V., Gezhina A.N.

“…The above process of optimization of gluten-free mixture composition based on specified criteria was carried out with the use of modern applied software for the processing of experimental data - Statgraphics Centurion 16.1.11 and Statistica 10.0, and allowed us to determine the optimum composition of the flour mix for the production of dumpling dough. …”
Get full text

Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

“…Firstly, raw gas concentration-related data was cleaned and normalized using min-max scaling. …”
Get full text

A distance-aware approach for reliable out-of-distribution detection of wind turbine gearbox fault diagnosis by Jingxin Zhou, Yao Zhao

“…Spectral Normalization and Gaussian Process improve the model’s ability to assess the distance between test and training data. …”
Get full text

Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

“…Partial dependence plots further illustrated critical thresholds, such as a significant drop in WA above 62% SiO₂ and optimal BS values near 1200 °C, findings that align with known ceramic processing principles while offering new, data-driven formulation insights. …”
Get full text

Cold Plasma Pretreatment in Plant Material Drying by Ivan A. Shorstkii

“…The proposed mathematical model explained the emerging effects, while the refined kinetic coefficients supported by experimental data clarified the processes in the drying material.…”
Get full text

Machine learning algorithm to predict in-hospital mortality after aneurysmal subarachnoid hemorrhage by Juri V. Kivelev, Alexey L. Krivoshapkin, Albert A. Sufianov

“…Machine learning (ML) methodology surpasses the traditional tools of statistical analysis in processing big data clinical datasets .Aim. To develop an ML algorithm of application of recurrent neural network to analyze clinical datasets of patients with aneurysmal subarachnoid hemorrhage (SAH).Materials and methods. …”
Get full text

Continuous Mixture of Uniforms Framework for Modeling Residual Lifetime Distribution by Felipe A. Cruz-Perez, Sandra Lirio Castellanos-Lopez, Genaro Hernandez-Valdez, Mario Eduardo Rivero-Angeles

Get full text

Mid- and near-infrared spectroscopies for quantitative tracking of isocyanate content: Streamlined development of monitoring tools for reactive extrusion synthesis of specialty pol... by Aleksandra M. Fage, Christian A. Backhaus, Wolfgang Becker, Günter Lorenz, Anita Lorenz, Karsten Rebner, Frank Henning

“…It provides a shortcut for designing monitored REX syntheses of PUs and other material systems amenable to quantitative calibration based on spectroscopic data from raw reagents.…”
Get full text

A simplified approach for efficiency analysis of machine learning algorithms by Muthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya

“…The proposed methodology involves a multistep process: collecting raw metrics, normalizing them, applying the Analytic Hierarchy Process (AHP) to determine weights, and computing a composite efficiency score. …”
Get full text

Trajectory Aware Deep Reinforcement Learning Navigation Using Multichannel Cost Maps by Tareq A. Fahmy, Omar M. Shehata, Shady A. Maged

“…Additionally, navigation efficiency improved by 35% in tunnel scenarios and by 12% in dense-environment navigation compared to standard methods that rely on raw sensor data or frame stacking.…”
Get full text

Rationale for choosing optimal yeast races for the production of sparkling cider by I. E. Boyko, O. V. Marinenko, S. A. Gisheva, K. R. Siyukhov

“…According to the literature data, various biochemical processes occur during the fermentation process with a change in the main components of the wort, the formation and synthesis of new compounds that are involved in the formation of aroma and taste. …”
Get full text

Properties of high cis-1,4 content hydroxyl-terminated polybutadiene and its application in composite solid propellants by Deqian Meng, Lipeng Sang, Pingan Zhang, Jianru Deng, Xiang Guo

“…In this paper, high cis-1,4 content hydroxyl-terminated polybutadiene (cis-HTPB) with different molecular weights was prepared through the oxidative cracking process using cis-butadiene rubber as raw material. …”
Get full text

Taxonomic identity of the Bacillus licheniformis strains used to produce food enzymes evaluated in published EFSA opinions by EFSA Panel on Food Contact Materials, Enzymes and Processing Aids (CEP), José Manuel Barat Baviera, Claudia Bolognesi, Andrew Chesson, Pier Sandro Cocconcelli, Riccardo Crebelli, David Michael Gott, Konrad Grob, Claude Lambré, Evgenia Lampi, Marcel Mengelers, Alicja Mortensen, Gilles Rivière, Inger‐Lise Steffensen, Christina Tlustos, Henk Van Loveren, Laurence Vernis, Holger Zorn, Lieve Herman, Jaime Aguilera, Ana Gomes, Simone Lunardi, Yi Liu, Eleonora Marini, Silvia Peluso

Get full text