Fuzzy control system of multioperational machine status by Andrey K. Tugengold, Andrey I. Izyumov, Roman N. Voloshin, Mikhail Y. Solomykin

“…The work objective is to develop a system for monitoring the condition, detecting dimensional wear, and determining the period of tool life on the basis of the fuzzy logic methods. …”
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Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

“…To solve these issues, Bille-Viper-Segmentation with the Tandem-MU-Net Model is suggested as a solution for tissue damage detection problems. This study improves blood flow detection in stroke images by introducing the Bille-Viper-Segmentation method to overcome difficulties in recognizing tissue injury. …”
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Identifying Coronal Mass Ejection Active Region Sources: An Automated Approach by Julio Hernandez Camero, Lucie M. Green, Alex Piñel Neparidze

“…Identifying the source regions of coronal mass ejections (CMEs) is crucial for understanding their origins and improving space weather forecasting. We present an automated algorithm for matching CMEs detected by the Large Angle Spectrometric Coronagraph with their source active regions, specifically Space Weather HMI Active Region Patches (SHARPs), between 2010 May and 2019 January. …”
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Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy by Dilber Uzun Ozsahin, Natacha Usanase, Ilker Ozsahin

“…Main body Artificial intelligence (AI) technology enables rapid detection of high-risk groups for pancreatic cancer using various techniques such as medical imaging, pathological examination, biomarkers, and other methods, facilitating early detection of pancreatic cancer. …”
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Trends in the development of the ISO 9001 quality management system – a parameter of the logistic function by Grzegorz Kazimierz Rządkowski, Katarzyna Szczepańska

“…Once the parameters of the consecutive logistic waves have been estimated, the corresponding multilogistic functions can be used for forecasting.…”
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An AI-Based Approach for the Assessment of the Lost Efficiencies of a PVT Plant by Stefano Aneli, Giuseppe M. Tina, Bekkay Hajji, Safae Morgoum, Antonio Gagliano

“…This work presents an innovative application of AI for both the forecasting and the diagnostic of the performance of a PVT plant. …”
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Probing cosmic voids with emission-line galaxies by Yuka Yamada, Naoki Yoshida, Naoki Yoshida

“…We study how the measured physical properties depend on the observational methods for void detection and identification.MethodsWe generate mock intensity maps targeting the far-infrared CO(3–2) emission line by assigning the line luminosities to dark matter halos in cosmological simulations. …”
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Hydrogen Safety in Solid Oxide Fuel Cells: an LSTM-Based Model for Predicting Temperature Anomalies and Change Points by Tomaso Vairo, Davide Clematis, Maria Paola Carpanese, Bruno Fabiano

“…The results indicate that the LSTM-based model significantly outperforms traditional methods in both prediction accuracy and early anomaly detection. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…A key innovation of this study is the development of an algorithm that processes low-amplitude high-frequency signals, which are often difficult to detect with conventional methods. Additionally, a neural network-based forecasting algorithm utilizing the Daubechies wavelet transform is introduced to improve the predictive accuracy of subsurface characteristics. …”
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Automated methane emission monitoring systems based on satellite data: Radiation transfer model analysis by K. Aghayeva, G. Krauklit

“…The seasonal analysis demonstrated an increase in concentrations in winter (3 ppm) and summer (2.7 ppm) due to a decrease in the dispersion rate and intensification of mining. Machine learning methods (XGBoost, Random Forest) improved the forecasting accuracy (R2=0.91 for XGBoost) by identifying key factors: wind speed, temperature, mining intensity and humidity. …”
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New aspects of pathogenesis of respiratory dysfunction in case of chronic rheumatic heart disease by G. S. Taktashov

“…Data received enable to define the criteria of early detection and forecast of course of the disturbance of the next lungs’ function: moisture separating, diffusion, conditioning and surfactant generating.…”
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Prevalence of foodborne parasitic infections in market-sold aquatic products and high-risk populations in Shanghai, China: surveillance between 2022 and 2024 by Simin Dai, Jun Feng, Min Chen, Huanyu Wu, Yujuan Shen, Qing Yu, Jian Chen

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Wear Prediction and Visual Decision Support of Drop Forged Rivetless Chain for Conveyors by Liu Manxian, Xu Zijia, Shen Xujia, Li Xiaodong, Zhang Zhijun, Yang Yi

“…In order to accurately detect, predict and maintain the wear condition of drop forged rivetless chain for conveyors, the methods of wear prediction and active maintenance are developed based on gray model and visual decision support. …”
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Aphid Species in Citrus Orchards in Crete: Key Vectors of Citrus Tristeza Virus and Automated Monitoring Innovations for Alate Aphids by Matthaios M. Mathioudakis, Kyriaki Varikou, Antonia Karagianni, Panagiota Psirofonia, Nikolaos Tektonidis, Despoina Kapantaidaki, Vasiliki Evangelou, Leonidas Economou, Beata Hasiów-Jaroszewska, Ilyas Potamitis

“…<i>Toxoptera aurantii, Myzus persicae</i>, and <i>A. craccivora</i> were present in low numbers, and <i>A. citricidus</i> was not detected. Due to the absence of CTV detection in aphids and citrus trees from the pilot orchards, a complementary survey was conducted in CTV-infected fields. …”
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Year-round infectome profiling of acute febrile respiratory illness unveiled complex epidemiological dynamics postlifting of COVID-19 restrictions by Shisong Fang, Lin Zhu, Shaohui Bai, Weijian Tian, Yuanfei Pan, Shumiao Zhang, Rongjun Bi, Minqi Liang, Gengyan Luo, Xiaojing Chen, Minwu Peng, Hanlin Liu, Lu Xie, Runzi Zhang, Wudi Zhou, Shengze Zhang, Ting Xie, Haolu Zha, Chuming Luo, Xin Wang, Ying Sun, Hui Liu, Min Jiang, Weihua Wu, Xuan Zou, Yaoqing Chen, Jianhui Yuan, Ying Jiang, Nan Wu, Mang Shi, Yuelong Shu, Huanle Luo

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Designing an Interactive Visual Analytics System for Precipitation Data Analysis by Dong Hyun Jeong, Pradeep Behera, Bong Keun Jeong, Carlos David Luna Sangama, Bryan Higgs, Soo-Yeon Ji

“…To enhance understanding of precipitation data and analysis results, researchers often use graphical representation methods to show the data in visual formats. Although existing precipitation analysis and basic visual representations are helpful, it is critical to have a comprehensive analysis and visualization system to detect significant patterns and anomalies in high-resolution temporal precipitation data more effectively. …”
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Estimation of Flood Inundation Area Using Soil Moisture Active Passive Fractional Water Data with an LSTM Model by Rekzi D. Febrian, Wanyub Kim, Yangwon Lee, Jinsoo Kim, Minha Choi

“…Flood estimation using satellite observations with deep learning algorithms is effective in detecting flood patterns and environmental relationships that may be overlooked by conventional methods. …”
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Toward a Time-Bounded Solution for Real-Time Latency Prediction in Dynamic 5G Communication by Andrea Nota, Lisa Maile, Selma Saidi

“…Even with limited knowledge about future channel conditions, using state-of-the-art forecasting methods, our approach still bounds 99.8% of actual latencies, demonstrating its robustness. …”
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Assessing Seasonal Variations of Vegetation Cover Using NDVI in Context Climate Change in Wasit by Mohanad I. Khalbas, Jasim H. Kadhum

“…Using the ARIMA model for forecasting, NDVI is expected to continue a slight upward trend, reaching 0.442 in 2024 and 0.463 in 2025. …”
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Assessing Seasonal Variations of Vegetation Cover Using NDVI in Context Climate Change in Wasit by Mohanad I. Khalbas, Jasim H. Kadhum

“…Using the ARIMA model for forecasting, NDVI is expected to continue a slight upward trend, reaching 0.442 in 2024 and 0.463 in 2025. …”
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