Data-driven EV charging infrastructure with uncertainty based on a spatial–temporal flow-driven (STFD) models considering batteries by Talal Alharbi, Ahmed Abdalrahman, Mostafa H. Mostafa

“…The developed mathematical frameworks and algorithms facilitate the optimal sizing and siting of both EV charging stations and ESS. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…By reducing the technical burden of coding, iMESc allows researchers to focus on scientific inquiry, improving both the efficiency and depth of their analyses.…”
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Stacking ensemble learning models diagnose pulmonary infections using host transcriptome data from metatranscriptomics by Tian Zhang, Ying Deng, Wentao Wang, Zhe Zhao, Yiling Wu, Haoqian Wang, Shutao Xia, Weifang Liao, Weijie Liao

“…Our study presented a rapid and inexpensive adjunctive diagnostic strategy that achieves diagnostic accuracy comparable to metatranscriptomic sequencing, enabling timely identification of both infection status and type in pulmonary infections.…”
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Ethical Aspects of the Influence of Neural Networks on the Lives of Students in the Context of a Sociological Approach (using the Example of Students of the IT Department of ETU) by A. S. Kurapova, S. V. Kurapov, A. D. Derzhavina, N. V. Shatilo

“…The article is devoted to the analysis of the development and implementation of artificial intelligence systems, in particular neural networks, in the life of students. Their use can both open up new horizons and raise serious ethical questions, especially in the context of influencing young people and their educational trajectories. …”
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Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures by Ananya Omanwar, Fady Alajaji, Tamás Linder

“…Our bounds are similar to recently developed bounds for the generalization error of learning algorithms. However, unlike these works, our bounds do not require the sub-Gaussian parameter to be constant, and therefore, apply to a broader class of joint distributions over <i>Y</i>, <i>X</i>, and <i>Z</i>. …”
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Information Content Assessment of the Federal Budget and the Budget Process in the Russian Federation by O. V. Morozov, M. A. Vasiliev

“…Indexes of information content of the multicomponent systems’ composition and algorithms for their calculations are formed. Quantitative criteria are determined and a model for optimizing the composition of federal budget expenditures is presented. …”
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Enhancing Energy Efficiency of Sensors and Communication Devices in Opportunistic Networks Through Human Mobility Interaction Prediction by Ambreen Memon, Sardar M. N. Islam, Muhammad Nadeem Ali, Byung-Seo Kim

“…Our findings demonstrate that the RFR significantly outperformed both the Gaussian process and existing methods in predicting mobility encounters. …”
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IoT Device Identification Techniques: A Comparative Analysis for Security Practitioners by Ashley Andrews, George Oikonomou, Simon Armour, Paul Thomas, Thomas Cattermole

“…This gives security professionals and researchers the necessary tools to compare studies, both current and future, to understand how to secure their networks and what they must consider when completing further research.…”
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OPPORTUNITIES OF ELECTRO-OPTIC VISUALIZATION PRACTICAL APPLICATIONS ON BOARD THE AIRCRAFT by S. B. Stukalov, D. S. Stukalov, V. I. Kondrikov

“…It is determined that the systems can be used in flight both for land observation tasks and ensuring a safe flight. …”
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Artificial intelligence for surgical outcome prediction in glaucoma: a systematic review by Zeena Kailani, Lauren Kim, Joshua Bierbrier, Michael Balas, David J. Mathew, David J. Mathew

“…Studies were included if they applied AI models to glaucoma surgery outcome prediction.ResultsSix studies met inclusion criteria, collectively analyzing 4,630 surgeries. A variety of algorithms were applied, including random forests, support vector machines, and neural networks. …”
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Early Breast Cancer Prediction Using Thermal Images and Hybrid Feature Extraction-Based System by Doaa Youssef, Hanan Atef, Shaimaa Gamal, Jala El-Azab, Tawfik Ismail

“…Infrared thermal imaging has great potential for early prediction of breast cancer, offering non-invasive, cost-effective, non-radiation exposure and applicability to be used regularly for both young and old women. The infrared energy emitted by the breast surface is highly related to its physiological characteristics. …”
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Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic by Muhammed Ballı, Asli Ercan Dogan, Sevin Hun Senol, Hale Yapici Eser

“…Data from 924 university students seeking mental health services were analyzed using seven machine learning algorithms. Suicidal ideation was assessed through the 9th item of the Patient Health Questionnaire-9. …”
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Short-term scheduling optimization of battery electric buses in the context of sustainable energy resources under uncertainty by Muhammad Ahmad Iqbal, Ismail I. Almaraj

“…Due to the large-scale nature of the problem, metaheuristic algorithms are used to solve the proposed model. The objective seeks to maximize the profit of the transportation company (TC), which owns both CSs and BEBs, by optimally scheduling the CS selection for its in-transit buses. …”
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Interdisciplinary Distance Learning Workshop for IT Students by I. A. Andrianov, S. A. Rzheutskaya, M. V. Kharina

“…This approach made it possible to increase the effectiveness of teaching both in the process of classroom studies and in the organization of independent work of students.Methods and materials. …”
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A machine learning prediction model for Cardiac Amyloidosis using routine blood tests in patients with left ventricular hypertrophy by Yuling Pan, Qingkun Fan, Yu Liang, Yunfan Liu, Haihang You, Chunzi Liang

“…We divided the dataset into training and testing cohorts, applying ML algorithms such as logistic regression, random forest, and XGBoost for automated learning and prediction. …”
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Results of pilot remote monitoring of heart failure patients by N. V. Pyrikova, N. A. Mozgunov, I. V. Osipova

“…The second group (control) included 65 patients who received care according to generally accepted algorithms for managing HF patients. In the study group, there were 46% men (69,6±9,4 years) and 54% women (71,7±9,9 years). …”
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A Hybrid Artificial Intelligence Approach for Down Syndrome Risk Prediction in First Trimester Screening by Emre Yalçın, Serpil Aslan, Mesut Toğaçar, Süleyman Cansun Demir

“…Intersecting features from both selectors are retained to form a compact and informative feature subset. …”
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Conversion hip arthroplasty in the treatment of adverse effects of proximal femoral fractures by A. N. Tsed, N. E. Mushtin, I. Yu. Zhukovets, A. K. Dulaev

“…Currently, there are no uniform algorithms for surgical tactics of conversion hip arthroplasty.The OBJECTIVE was to evaluate the mid-term results of conversion hip arthroplasty in patients with adverse effects of proximal femoral fractures.METHODS AND MATERIALS. …”
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Single camera 6-dof object tracking using spatial resection based techniques by M. Davoudkhani, C. Mulsow, H.-G. Maas

“…Photogrammetric methods and advanced algorithms are widely used for tracking objects in camera image sequences in various sectors, such as motion analysis, industrial inspection, monitoring of environmental processes, or analyzing impact events or explosions. …”
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Development and laboratory validation of an LVDC back-to-back system with residential inverter, PV, and battery-based power generation by Zaid Ali, David Raisz

“…Thorough simulations in Simulink and laboratory validations through a rapid prototyping platform, demonstrate the system’s ability to deliver stable and efficient power in both operational modes. The incorporation of sophisticated control algorithms into the existing power management framework enhances responsiveness to fluctuations in load and solar energy, ensuring peak performance under varying conditions. …”
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