Logical-semantic knowledge model for the knowledge base of a lecturer by Serhii Dotsenko, Olga Banit, Dmytro Nor, Olga Morozova

“…The current focus of implementing information technologies in educational activities is on organizing educational processes in a distance format. …”
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Analysis of Factors Influencing the Mental Health Status of Personnel Stationed at High- and Low-Altitude Bases by Li HF, Chen J, Ge YF, Liu SJ, Zhou LJ, Dong GG

“…Measures such as enhancing income and welfare benefits as appropriate, improving education levels by advancing educational opportunities, and providing more mental health education and training may effectively reduce psychological stress and contribute to building a resilient and psychologically healthy military force.Keywords: altitude, comparative analysis, mental health, personnel, symptom checklist-90, SCL-90…”
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Application of Intelligent Archives Management Based on Data Mining in Hospital Archives Management by Juan Li

“…The information excavated must be real and not universally known, and it can be the discovery of a specific problem. Data mining algorithms mainly include the neural network method, decision tree method, genetic algorithm, rough set method, fuzzy set method, association rule method, and so on. …”
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An Application of Ant Colony-Fuzzy Logic Controller for Shunt Active Filter in PV-UPQC by K. Sahithi, N. Yadaiah

“…The Shunt Active Power Filter (SAPF) is controlled using Ant Colony Optimization (ACO), a warm-based algorithm that draws inspiration from how ants forage for food. …”
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Characterizing leaf-deposited particles: Single-particle mass spectral analysis and comparison with naturally fallen particles by Dele Chen, Hua-Yun Xiao, Ningxiao Sun, Jingli Yan, Shan Yin

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Dynamic asymmetric assignment problem in open multi-agent systems by M. P. Revotjuk, N. V. Khajynova, A. P. Kuznetsov, L. Y. Shilin

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Observer of changes in the forest of the shortest paths on dynamic graphs of transport networks by N. V. Khajynova, M. P. Revotjuk, L. Y. Shilin

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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

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Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

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Hybrid Active and Passive Cable Contour Shielding of Magnetic Fields of Double-Circuit Overhead Power Lines by Kuznetsov B.I., Kutsenko A.S., Nikitina T.B.

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COMPARATIVE ANALYSIS OF NO-REFERENCE MEASURES FOR DIGITAL IMAGE SHARPNESS ASSESSMENT by Y. I. Golub, F. V. Starovoitov, V. V. Starovoitov

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EVOLUTION OF THE MARKETING PARADIGM: A NEW VISION by G. V. Astratova, O. A. Rushchitskaya

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A STUDY OF PEOPLE’S PERCEPTION OF ARTIFICIAL INTELLIGENCE IN FINANCE AND SOCIETY by Dan MITRA, Ioana-Florina COITA

“…Some of the key issues included algorithmic bias, erosion of human oversight, and threats to privacy. …”
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Emotional Semantic Recognition of Visual Scene in Flash Animation by Shi Lin, Xu Zhenguo, Meng Xiangzeng

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Parallel Computing in Automation of Decoupled Fluid-Thermostructural Simulation Approach by Janine GLÄNZEL, Andreas NAUMANN, Tharun Suresh KUMAR

“…However, there is still scope for improvement in the reduction of time needed to train CDs. Parallel computation can be effectively utilized in decoupling approach in simultaneous execution of (i) CFD simulations and data export, and (ii) Clustering technique involving Genetic Algorithm and Radial Basis Function interpolation, which clusters and optimizes the training data for CDs. …”
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Single-cell and spatial transcriptomic analysis reveals tumor cell heterogeneity and underlying molecular program in colorectal cancer by Teng Wang, Zhaoming Chen, Wang Wang, Wang Wang, Heng Wang, Shenglong Li

“…A prognostic model was then established through Lasso and Cox regression analyses, integrating clinical data into a nomogram for personalized risk prediction. Furthermore, key genes associated with MCEPs and their potential therapeutic targets were identified using protein-protein interaction networks, followed by molecular docking to predict drug-binding affinity.ResultsWe classified CRC malignant cell transcriptional states into eight distinct MCEPs and successfully constructed crosstalk networks between these MCEPs and immune or stromal cells. …”
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Investigation of the influence of the heterogeneous structure of concrete on its strength by V.M. Volchuk, M.A. Kotov, Ye G. Plakhtii, O.A. Tymoshenko, O.H. Zinkevych

“…The relevance of the work lies in the possibility to carry out express-assessment of the quality of concrete products and structures using the developed algorithm with the use of portable equipment: photographing the structure of concrete; estimation of the range of colour range of the structure elements; calculation of the fractal dimensionality of the structure elements using the developed program; automatic strength prediction. …”
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Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling by Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, Zahra Kalantari, Jeong-A. Lee

“…New hydrological insights for the region: This study reveals that the SVR-GWO model has the best performance in predicting flood-prone areas worldwide based on AUC, RMSE and MSE. …”
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Deteksi Cepat Kadar Alkohol Pada Minuman Kopi dengan Metode Dielektrik dan Jaringan Syaraf Tiruan by Sucipto Sucipto, Yuyun Rohmawati, Dyah Ayu Widyaningrum, Danang Triagus Setiyawan

“…The back propagation algorithm was used to connect the input of bioelectric properties and output of prediction of alcohol content and pH in liqueur coffee. …”
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Pillar-X: Integrating Self-Learned Image Features to Improve 3D Object Detection by Mihaly Csontho, Andras Rovid

“…Comprehensive evaluations on the KITTI and CARLA-generated dataset demonstrate Pillar-X’s significant reduction in false positive detections, especially for the pedestrian and cyclist classes. …”
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