Location-Dependent Query Processing: Semantic Cache for Real-Time Smart City Analytics by Rabia Hasan, Waseem Shehzad, Ejaz Ahmed, Hasan Ali Khattak, Ahmed S. AlGhamdi, Sultan S. Alshamrani

“…An efficient database system is required to manage mentioned problems. Our research work finds the probability of user’s next locations. …”
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High-Speed Outlier Removal Filter for LiDAR Sensor Point Cloud Data by Yeun-Sub Byun, Rag-Gyo Jeong

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Medical irradiation risk assessment based on the data of radiation-hygienic passportization in the regions of the Russian Federation by V. Ju. Golikov

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Implementation of Several Data Mining Strategies on Electronic Nose Data for Identifying Gluten in Cheese by Mohammad Nasiri-Galeh, Mahdi Ghasemi-Varnamkhasti

“…It is  not enough to make decisions and judge the data unless discovering the relationships and patterns between the data obtained to determine the relation of new data recorded by the device to the type of cheese, For this purpose, data mining and machine learning methods have been used in this research. Data mining includes various algorithms such as classification, clustering, and obtaining association rules. …”
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Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers by Arpit Pandey, Sridharan Naveen Venkatesh, Prabhakaranpillai Sreelatha Anoop, B. R. Manju, Vaithiyanathan Sugumaran

“…By integrating these features, the study aims to optimize predictive modeling of TPMS. Empirically, the research achieved 97.92% accuracy using the local weighted learning (LWL) algorithm, demonstrating the effectiveness of combined statistical, histogram, and ARMA features in enhancing TPMS predictive capabilities.…”
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Extended Inductive Miner to Discover Semantic Annotated Process Model: A Variability-Based Approach by Aicha Khannat, Hanae Sbai, Laila Kjiri

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Investigating the diversity and stylization of contemporary user generated visual arts in the complexity entropy plane by Seunghwan Kim, Byunghwee Lee, Wonjae Lee

“…Informatizing 149,780 images curated on the DeviantArt and Bēhance platforms from 2010 to 2020, we analyze the relationship between local information in the C-H space and multi-level image features generated by a deep neural network and a feature extraction algorithm. The results reveal significant statistical relationships between the C-H information of visual artistic styles and the dissimilarities of the multi-level image features over time within groups of artworks. …”
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AADL architecture model construction based on FACE mode by LYU Guangzhe, YU Chunhai, KANG Kai, MA Chunyan, LIN Wei

“…In the development of time-sensitive, mission-critical aerospace software systems, the modeling technology that combines the FACE(future airborne capability environment) open architecture model with the AADL(architecture analysis & design language) architectural model is gradually becoming a research hot spot. This paper proposes an automatic construction method for AADL models based on the FACE model. …”
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Quantum computing for molecular vibrational energies: A comprehensive study by Somasundaram R., Jayaharish R., Rohith Ramanan, Chandra Chowdhury

“…Furthermore, we employ the CHC Ansatz in conjunction with the Variational Quantum Deflation (VQD) algorithm to determine the excited vibrational state energies, which is compared against the reliable method of quantum Equation of Motion(qEOM). …”
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Data augmentation-assisted muck image recognition during shield tunnelling by Tao Yan, Shui-Long Shen, Annan Zhou

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ENGINEERING OF THE BOOST SYSTEM FOR SMALL-SIZE GAS-TURBINE ENGINE WITH PULSE-DETONATION MODULE by M. I. Erofeev, V. V. Parievskiy

“…As a result, the research reasonably determined the structural diagram of the boost system test rig, providing a partial simulation of flight conditions at the inlet to the small-sized turbine engine. …”
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Design of Interactive Vocal Guidance and Artistic Psychological Intervention System Based on Emotion Recognition by Wenwen Mo, Yuan Yuan

“…The research on artistic psychological intervention to judge emotional fluctuations by extracting emotional features from interactive vocal signals has become a research topic with great potential for development. …”
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Multi-spectral remote sensing image fusion method based on gradient moment matching by Haiying Fan, Gonghuai Wei

“…Image fusion is a popular research direction in the field of computer vision. …”
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GA-BPNN Based Hybrid Steering Control Approach for Unmanned Driving Electric Vehicle with In-Wheel Motors by Yong Li, Xing Xu, Wujie Wang

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Managing Children with Gaucher Disease: Modern Clinical Recommendations by A. A. Baranov, L. S. Namazova-Baranova, O. S. Gundobina, E. A. Lukina, A. K. Gevorkyan, K. V. Savostyanov, A. A. Pushkov, E. A. Vishnyova, G. B. Movsisyan

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DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING by Aseel Abdulhasan Hashim, Mahdi Mazinani

“…It is not a widely prevalent disease, with a research gap caused by the absence of standardized datasets for model training and evaluation. …”
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Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting by Yumin Dong, Huanxin Ding

“…Precipitation forecasting has important applications in meteorological research. Accurate forecasting is of great significance for reducing the impact of floods, optimizing crop planting plans, rationally allocating water resources, and ensuring traffic safety. …”
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A science-based approach to classifying light vehicles in Europe: methodology and case studies by Lorenzo Laveneziana, Andres L. Marin, Dermot O’Brien, Matteo Prussi, Georgios Fontaras

“…These boundaries were articulated through linear relationships of the chosen variables, thus providing well-defined criteria open for interpretation and verification. The algorithm could assign up to 82% of the vehicles to the original segments. …”
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Conformable Fractional Models of the Stellar Helium Burning via Artificial Neural Networks by Emad A.-B. Abdel-Salam, Mohamed I. Nouh, Yosry A. Azzam, M. S. Jazmati

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Stress testing of the development of Russian regions in the context of external economic restrictions by I. V. Danilova, A. V. Rezepin, N. V. Pravdina

“…Purpose: is to develop the model for stress testing of the impact of external constraints of Russian regions in the context of foreign economic constraints 2022–2023.Methods: the research is based on the theory of economic dynamics, regional economy and spatial development, the concept of the BANI world; the methodological basis of the study is a scenario approach to the formation of the stress testing model and the algorithm for determining the expected impact based on the machine learning method – the artificial neural network.Results: the study of scientific publications on the research topic, analysis of shock events, post-shock consequences (2006–2022) made it possible to substantiate feasibility of testing and differentiating the response of Russian regions to external constraints, applying the criteria of “shock-resistant” development, classifying economic space and identifying the territory with “shock-resistant” and “non-shockresistant”reactions. …”
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