Enhancing Knowledge Management in Healthcare: An Embedding Fusion Approach to Business Rule Representation by Braeden Berg, Mukundan Agaram, Shikha Mohindra, Abhinav Nadh Thirupathi

“…In this study, we present an embedding fusion technique using unsupervised Natural Language Processing (NLP) to represent business rules as semantic vectors by incorporating multiple text data sources for each rule. …”
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A Riemannian Dichotomizer Approach on Symmetric Positive Definite Manifolds for Offline, Writer-Independent Signature Verification by Nikolaos Vasilakis, Christos Chorianopoulos, Elias N. Zois

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Experience of implementation and approaches for further automation in unmanned aerial counting of pacific salmon in the Okhotsk district of Khabarovsk Region by D. V. Kotsyuk, V. V. Sviridov, A. Yu. Povarov

“…Proposed approaches to automation are outlined for key stages of unmanned counting, as spatial coverage planning, aerial photography acquisition, photogrammetric processing, vectorization, and abundance estimation. …”
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New energy efficient management approach for wireless sensor networks in target tracking using Vortex Search Algorithm by Shayesteh Tabatabaei

“…However, the design of wireless sensor networks faces constraints such as energy consumption, processing power, memory, environmental dimensions, number of sensor nodes, and bandwidth. …”
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Training of International Relations Specialists in Kazakhstan by R. S. Kurmanguzhin, R. T. Saurambaeva

“…After gaining independence, the Republic of Kazakhstan, setting the course for a multi-vector foreign policy, began a complex process of independent training of specialists in the field of international relations, drawing on the traditions of the Soviet-Russian school of diplomacy. …”
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A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories by Ahmed M. Abd El-Haleem, Mohab Mohammed Eid, Mahmoud M. Elmesalawy, Hadeer A. Hassan Hosny

“…Due to the COVID-19 pandemic and the development of educational technology, e-learning has become essential in the educational process. However, the adoption of e-learning in sectors such as engineering, science, and technology faces a particular challenge as it needs a special Laboratory Learning Management System (LLMS) capable of supporting online lab activities through virtual and controlled remote labs. …”
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Automated painting color matching technology based on semantic intelligence understanding by Jiayin Zhang

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Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…Visually inspecting nonlinear EEG waves is a very difficult and time-consuming process. Therefore, to help with patients' long-term assessment and treatment, an effective automatic detection system is required. …”
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A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms by S. Malathi, A. Shenbagavalli, N. Sriraam

“…Convolutional Neural Network (CNN) is a deep learning model to process the hierarchical feature of visual data to conduct image classification. …”
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Machine learning-based monitoring of land cover and reclamation plantations on coal-mined landscape using Sentinel 2 data by Mayank Pandey, Alka Mishra, Singam L. Swamy, James T. Anderson, Tarun Kumar Thakur

“…By integrating crucial eco-technological and geospatial approaches employing ML algorithms, we effectively navigate interventions to reinvigorate the restoration process and reverse land degradation.…”
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An Adaptive SVD-Based Approach to Clutter Suppression for Slow-Moving Targets by Yuhao Hou, Baixiao Chen

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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation by Abdul Karim, Semin Ryu, In cheol Jeong

“…The framework employs Short-Time Fourier Transform (STFT) to extract spectral and temporal information, enabling accurate signal processing and classification into distinct anatomical regions. …”
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Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices by Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

“…The top layer completes the data processing. The middle layer is a QGWO‐optimised support vector machine (SVM) for classifing whether LMPs are price spikes. …”
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A Novel SOH Estimation Method for Lithium-Ion Batteries Based on the PSO–GWO–LSSVM Prediction Model with Multi-Dimensional Health Features Extraction by Xu He, Zhengpu Wu, Jinghan Bai, Junchao Zhu, Lu Lv, Lujun Wang

“…However, the use of individual health features (HFs) and the selection of hyperparameters can increase the data processing burden on the BMS and reduce the accuracy of data-driven models. …”
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Monitoring Socio-Economic Trends: Tools and Limitations by N. G. Kurakova, О. А. Yeremchenko

“…To achieve the sovereignization of the domestic sector of socio-economic research, it is important to formulate a new conceptual apparatus of the current socio-economic policy, as well as to develop instrumental and methodological support for the trend tracking process.The analysis of professional and open trendwatching algorithms used in this study gives grounds to note that the only area in which the trend monitoring process relies on developed methodology and tools is the creative industries. …”
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Specific Features of Russian Economy Development on the Current Stage by L. I. Kochurova, E. I. Kharlampenkov, Yu. N. Kleshchevskiy, S. L. Engel, V. V. Andreev

“…The chief goal of state is to re-orientate from resource-mining to resource – processing, which complies with the concept of added value and shall ensure the sustainable development of economic growth. …”
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<strong>First record of hard tick species, <em>Hyalomma marginatum marginatum</em> and <em>H. marginatum rufipes</em> (Acari: Ixodidae), as probable vectors of Crimean-Congo hemorr... by Moslem Adeli-Sardou, Kourosh Azizi, Aboozar Soltani, Mohammad Djaefar Moemenbellah-Fard

“… Ticks (Acari: Ixodidae) are one of the most successful and widespread vectors of zoonotic pathogens of medical interest. …”
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APPLICATION OF SEMI SUPERVISED LAPLACE SCORE IN ROLLING BEARING FAULT DIAGNOSIS (MT) by LIANG Chuang, CHEN ChangZheng, LIU Ye, JIA XinYing

“…Aiming at the problem of insufficient labeled samples in the process of rolling bearing fault diagnosis, a rolling bearing fault diagnosis model based on semi supervised Laplace score（SSLS） and kernel principal component analysis（KPCA） is proposed by combining with the idea of feature selection and secondary mining. …”
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Application of machine learning to optimized design of layer structured particles by Hiroki GONOME, Hirotake SATO, Tatsuro HIRAI

“…Three types of machine learning were used: neural networks, support vector machines, and light gradient boosting machines. …”
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AC contactor fault recognition based on ERF and BO-SVC by LIU Shuxin, QI Xinzhi, LYU Xianfeng

“…Subsequently, the ERF is employed to perform feature selection and reduction on the balanced samples. This process leads to the extraction of optimal features that represent the dynamic patterns of AC contactor state changes. …”
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