A comparative study of deepfake facial manipulation technique using generative adversarial networks by Wasin Al Kishri, Jabar H. Yousif, Mahmood Al Bahri, Muhammad Zakarya, Naveed Khan, Sanad Sulaiman Al Maskari, Ahmet Gurhanli

“…Due to the development of image processing tools and visualization techniques integrating deep learning and artificial intelligence (AI) algorithms (in particular generative adversarial networks–GAN), this can pose serious threats to privacy and security. …”
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database. by Yang Xu, Chunxiao Song, Wenping Wei, Runfeng Miao

“…<h4>Results</h4>Our findings demonstrate that all models achieved AUROC values >0.7, with three models exceeding 0.75. Notably, the logistic regression model incorporating preoperative 48-hour maximum values and postoperative 24-hour maximum values exhibited the highest predictive accuracy (AUROC = 0.755, 95%CI: 0.7185-0.7912), outperforming other configurations. …”
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Development of a Technique for Discrete-Logical Decision-Making in Medical Information Systems by Islam A. Alexandrov, Vladimir Zh. Kuklin, Leonid M. Chervyakov, Sergei A. Sheptunov

“…The processing and feedforward structures for DSS are presented based on selected types of non-classical logic. The algorithms presented for solving decision-making problems are based on discrete-logic approximations of a priori and actual data, which are optimal or suboptimal, and they use information and value criteria. …”
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Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program by Iraklis Varlamis

“…They also learn the importance of finding and integrating supplementary open data sources to enhance the value and depth of their analyses. …”
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Exploring fecal microbiota signatures associated with immune response and antibiotic impact in NSCLC: insights from metagenomic and machine learning approaches by Wenjie Han, Wenjie Han, Yuhang Zhou, Yuhang Zhou, Yiwen Wang, Yiwen Wang, Xiaolin Liu, Tao Sun, Tao Sun, Junnan Xu, Junnan Xu, Junnan Xu

“…To address this challenge, we performed a comprehensive integration of publicly available global metagenomic datasets. …”
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On the problem of the korenization and ukrainization of state authorities in the 1920s–1930s (based on the materials of the North Caucasus) by E. V. Tufanov

“…The North Caucasus region was an integral part of a large Soviet state and all the processes that took place in the country were reflected in the South of the country. …”
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Analysis of Bridge Health Detection Based on Data Fusion by Ying Chen, Jiuhong Zhang, Yanfeng Li, Jialong Li

“…A rough neural network algorithm integrating the rough set and neural network was applied to data fusion of the database, with the attribute-reduction function of the rough set used to reduce the input dimension of the neural network. …”
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Evaluation of Microwave Radiometer Sea Ice Concentration Products over the Baltic Sea by Marko Mäkynen, Stefan Kern, Rasmus Tonboe

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Predicting Diabetic Retinopathy and Nephropathy Complications Using Machine Learning Techniques by D. R. Manjunath, J. J. Lohith, S. Selva Kumar, Abhijit Das

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Automatic Subject Cataloguing at the German National Library by Christoph Poley, Sandro Uhlmann, Frank Busse, Jan-Helge Jacobs, Maximilian Kähler, Matthias Nagelschmidt, Markus Schumacher

“…Applied research activities in the DNB's AI project are closely related to the EMa ensuring that relevant scientific findings get integrated into its development. …”
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Standard characteristics of functional state of the rectal obturator muscles obtained from neurophysiological examination by O. Yu. Fomenko, Yu. A. Shelygin, A. Yu. Titov, S. V. Belousova

“…Integral values of mean and maximal BEA amplitude  for the rectal obturator muscles at rest, for voluntary contraction,  during straining, and with increased intra-abdominal pressure were calculated.Results. …”
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Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting by Bruno Brentan, Ariele Zanfei, Martin Oberascher, Robert Sitzenfrei, Joaquin Izquierdo, Andrea Menapace

“…The LSTM model estimates, utilizing a univariate approach, the hourly forecasting of water demand for the entire available dataset and the minimum night flow. The algorithm considers various time series sizes for each DMA and predicts the water demand values for each hour throughout the week. …”
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Recent advances and future technologies in nano-microplastics detection by Ajinkya Nene, Sorour Sadeghzade, Stefano Viaroli, Wenjie Yang, Ucheaga Paul Uchenna, Abhishek Kandwal, Xinghui Liu, Prakash Somani, Massimiliano Galluzzi

“…This work examines cutting-edge developments in nanotechnology-based detection, integrated spectro-microscopic techniques, and AI-driven classification algorithms, offering solutions to bridge gaps in NMP research. …”
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Geospatial brain-inspired navigation: a neurocognitive approach for autonomous systems in complex environments by Donghui Han, Tong Qin, Tianyu Yang, Hua Liao, Qiaosong Hei, Fangwen Yu, Bailu Si, Weihua Dong

“…To address these challenges, it is essential to explore the roles and functional connectivity of distinct brain regions involved in processing real-world geospatial information and integrate these insights into autonomous navigation algorithms. …”
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Deterministic and fractional-order modeling of measles dynamics with harmonic mean incidence rate and quarantine impact by Rehan Khan, Ioan-Lucian Popa, Emad A. A. Ismail, Fuad A. Awwad, Umar Ishtiaq

“…Parameters are estimated using a genetic algorithm based on cumulative monthly case data for measles in Indonesia. …”
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Real‐Time Energy Management System for a Hybrid Renewable Microgrid System by Christian Ndeke Bipongo, Marco Adonis, Ali Almaktoof

“…The battery state of charge (SOC) was maintained between the fixed values (20% and 100%) as stated by the algorithm.…”
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A comprehensive review of bibliometric and methodological approaches in flood mitigation studies: Current trends and future directions by Funmilayo Ebun Rotimi, Roohollah Kalatehjari, Taofeeq Durojaye Moshood, George Dokyi

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Assessment of salt tolerance in peas using machine learning and multi-sensor data by Zehao Liu, Qiyan Jiang, Yishan Ji, Rong Liu, Hongquan Liu, Xiuxiu Ya, Zhenxing Liu, Zhirui Wang, Xiuliang Jin, Tao Yang

“…Using this information, aboveground biomass (AGB) and Soil Plant Analyses Development (SPAD) values were estimated under both growth conditions using four machine learning algorithms: CatBoost, Light Gradient Boosting Machine (LightGBM), support vector machines (SVM), and random forest regression (RF). …”
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Deep learning-based time series prediction in multispectral and hyperspectral imaging for cancer detection by Lijun Hao, Changmin Wang, Jinshan Che, Mingming Sun, Yuhong Wang

“…Traditional approaches for cancer detection rely on handcrafted features and conventional machine learning algorithms, which struggle with high-dimensional spectral data, noise interference, and domain adaptation challenges. …”
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Prediction of Voice Therapy Outcomes Using Machine Learning Approaches and SHAP Analysis: A K-VRQOL-Based Analysis by Ji Hye Park, Ah Ra Jung, Ji-Na Lee, Ji-Yeoun Lee

“…These findings support the use of explainable artificial intelligence (AI) to enhance clinical decision-making and pave the way for personalized voice rehabilitation strategies.…”
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