Development and Modeling of the Internet of Things Network for Patients IT Diagnostics by U. A. Vishniakou, Yu Chu Yue

Get full text

Physical cryptography and security of digital devices by A. A. Ivaniuk, S. S. Zalivaka

Get full text

Cerebral dysfunction in patients with acute myocardial infarction by N. A. Muradyan, I. M. Kuzmina, T. R. Gvindzhiliya, V. M. Balanyan, K. A. Popugaev

“…The identification of predictive factors for cerebral deficiency in acute myocardial infarction and the development of an algorithm for the management of such patients is an urgent task of today medicine.Aim. …”
Get full text

Evaluation of Machine Learning Applications for the Complex Near-Critical Phase Behavior Modelling of CO₂–Hydrocarbon Systems by Daulet Magzymov, Meruyert Makhatova, Zhasulan Dairov, Murat Syzdykov

“…The objective of this study was to evaluate the capability of machine learning models to accurately predict complex near-critical phase behavior in CO₂–hydrocarbon systems, which are crucial for enhanced oil recovery and carbon storage applications. …”
Get full text

AI-driven model for optimized pulse programming of memristive devices by Benjamin Spetzler, Markus Fritscher, Seongae Park, Nayoun Kim, Christian Wenger, Martin Ziegler

“…Here, we present a computationally efficient AI model for predicting the weight update of memristive devices and guiding device programming. …”
Get full text

Evaluation of informativity risk factors of breast cancer in the female population of the Omsk region: Bayesian approach by N. G. Shirlina, D. V. Turchaninov, V. L. Stasenko, E. A. Vilms

Get full text

Demographic Optimum in the Context of Migration. The German Case by Ion Pohoaţă, Vladimir-Mihai Crupenschi, Gabriel Căriman

“…The study aims to test whether the unbalanced structure of indigenous workforce offer in developed economies, such as Germany, originates both in the structure of rewards associated with each type of job in accordance with the required education level and also in the algorithm of their allocation so that the economy’s workforce demand is met. …”
Get full text

Experimentally validated inverse design of FeNiCrCoCu MPEAs and unlocking key insights with explainable AI by Fangxi Wang, Allana G. Iwanicki, Abhishek T. Sose, Lucas A. Pressley, Tyrel M. McQueen, Sanket A. Deshmukh

“…Additionally, the measured Young’s moduli were in good qualitative agreement with computational predictions. The SHapley Additive exPlanations (SHAP) analysis of the SEML model revealed a relationship between elemental concentration and USFE. …”
Get full text

Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning by Abimbola Efunogbon, Enjie Liu, Renxie Qiu, Taiwo Efunogbon

“…The framework leverages the LazyPredict module to automatically select optimal supervised learning algorithms based on real-time network conditions and historical data. …”
Get full text

Detection of platelet-associated immunoglobulins and complement system components in patients with aplastic anemia and hemoblastosis by A. F. Rakhmani, E. A. Mikhaylova, I. V. Galtseva, Yu. O. Davidova, N. M. Kapranov, I. V. Dubinkin, S. M. Kulikov, T. V. Gaponova, Z. T. Fidarova, V. V. Troitskaya, E. N. Parovichnikova, V. G. Savchenko

“…In addition to application of a certain transfusion therapy algorithm it is also necessary to detect PAIg (G, M, A) and PAC3 / C4 for prediction of severe refractoriness to donor's platelet transfusions.…”
Get full text

Contour Error Control for a Hybrid Robot Equipped with Grating Sensors by Xianlei Shan, Tianyu Zou, Haitao Liu, Yu Deng, Juliang Xiao

Get full text

Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks by Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara

“…It is a self-tuning model, tested in the context of phishing link detection. In this prediction model diverse types of aggregation functions and time-series data periods are used. …”
Get full text

USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…The methodological task integrates the main elements of methodological activity concerning planning and designing of educational process and its management by the teacher, and also predicts educational and cognitive actions of pupils. …”
Get full text

Multi objective optimization and experimental investigation of the stirring performance of a novel micro actuator by Zhuowei He, Junjie Lei, Jingjing Yang, Huba Zhu

“…This study employs the finite element (FE) method to numerically investigate the effect of critical structural parameters on the stirring performance of a novel scissor-type thrombolytic micro-actuator. A quadratic predictive model for its tip amplitude and stirring force is established using the Response Surface Methodology (RSM). …”
Get full text

Regenerative Braking in PV-Mounted Electric Vehicle With Reduced Switch VSI-Driven BLDC Motor and HAP-FUP Controller by Ron Carter S. B., Thangavel S.

“…The BLDC motor itself is controlled utilizing field-oriented control (FoC), with hybrid ANN-PID and Fuzzy-PID (HAP-FUP) controllers employed at the outer loop; furthermore, HAP-FUP controller performance was compared favorably against other top controllers such as model predictive controller (MPC), sliding mode controller (SMC), and conventional PID controller, ultimately demonstrating superior performance when it comes to reducing rise time and settling time of vehicle speed.…”
Get full text

CB-SEM vs PLS-SEM comparison in estimating the predictors of investment intention by Marija Vuković

“…Additionally, the consistent PLS algorithm (PLSc) was taken into consideration in the methods comparison. …”
Get full text

A Study on the Financial Health of Listed Real Estate Companies via Multicriteria Decision-Making Methods by Wenbao Wang, Wenhe Lin, Enhao Chen, Zhizhuan Zheng

“…The model is insensitive to weight perturbations, suggesting that its evaluation results are valid and predictive. Additionally, the pandemic and changes in the macroeconomic environment have negatively impacted corporate financial conditions, but internal adjustments and optimization strategies have contributed to the recovery of financial health. …”
Get full text

Innovative Design of Marketing Ecosystems by А. I. Vasiliev, I. А. Brusakova

“…The article considers the stages of innovative design of new marketing ecosystems, the result of which is the end-to-end integration of information resources of their member enterprises, which is necessary for the consolidation and synchronisation of structured and unstructured data on different business models of companies and the organisation of predictive analytics mechanisms. In the course of the work, the method of scientific analysis of literature on the research problem was applied, and the empirical experience of the authors of the article was used. …”
Get full text

Automation of reversible steganographic coding with nonlinear discrete optimisation by Ching-Chun Chang

“…A fundamental element of reversible steganography is predictive analytics, for which powerful neural network models have been effectively deployed. …”
Get full text

Enactivism, Health, AI, and Non-Neurotypical Individuals: Toward Contextualized, Personalized, and Ethically Grounded Interventions by Jordi Vallverdú

“…Drawing on relevant philosophical literature, empirical studies, and cross-disciplinary debates (including the friction and potential synergies between predictive processing and enactivism), we argue that AI solutions grounded in enactivist thinking can more effectively honor user autonomy, acknowledge the embodied nature of neurodiverse cognition, and avoid reductive standardizations. …”
Get full text