Strategizing the National Economy during a Period of Burgeoning Technological Sovereignty by V. L. Kvint, I. V. Novikova, M. K. Alimuradov, N. I. Sasaev

“…This causes the activation of processes to form the national economy technological sovereignty and emphasizes its strategic importance.   …”
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Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media by Rami Mohawesh, Islam Obaidat, Ahmed Abdallah AlQarni, Ali Abdulaziz Aljubailan, Moy’awiah A. Al-Shannaq, Haythem Bany Salameh, Ali Al-Yousef, Ahmad A. Saifan, Suboh M. Alkhushayni, Sumbal Maqsood

“…Abstract Fake news detection (FND) has emerged as a pivotal domain within the natural language processing field. The primary goal of FND is to discern and evaluate the veracity of pivotal claims in news articles, thereby determining the credibility of the presented news. …”
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Understanding international travelers’ intentions to adopt protective behaviors against malaria during staying abroad: insights from a study of Chinese international travelers by Yi Wang, Fang Fang, Chengyuan Li, Junjun Wang, Guangyu Lu, Yuzheng Huang

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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The attention mechanism is built to highlight key features and convert the vector sequence into an annotation probability matrix. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The attention mechanism is built to highlight key features and convert the vector sequence into an annotation probability matrix. …”
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Application of Axis Orbit Image Optimization in Fault Diagnosis for Rotor System by Xinyu Pang, Jie Shao, Xuanyi Xue, Wangwang Jiang

“…The method is a combination of ensemble empirical mode decomposition (EEMD), morphological image processing, Hu invariant moment feature vector, and back propagation (BP) neural network. …”
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Application of artificial neural networks to the recognition of musical sounds by B. KOSTEK, R. KRÓLIKOWSKI

“…As, there is no consensus regarding the selection of parameters for feature vector extraction, thus the experiment aimed to check whether calculated parameters are sufficient for creating a set of sound patterns used for neural network training. …”
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Vibration Analysis of Shaft Misalignment Using Machine Learning Approach under Variable Load Conditions by A. M. Umbrajkaar, A. Krishnamoorthy, R. B. Dhumale

“…The Industry 4.0 revolution is insisting strongly for use of machine learning-based processes and condition monitoring. In this paper, emphasis is given on machine learning-based approach for condition monitoring of shaft misalignment. …”
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Secure transmission for IoT wireless energy-carrying communication systems. by Pingxin Wang, Zhen Jing, Zhi Zhang, Qing Wang, Congcong Li, Hongxia Zhu

“…The message is iteratively solved using the block coordinate descent technique, and for each iteration, a digital baseband signal containing the receiver's secret message symbol and the matching beamforming vector is delivered. By concurrently optimizing the transmit beamforming vector, the noise covariance matrix, and the receiver power allocation factor based on a design that complies with the security rate and energy acquisition limitations for each receiver, the overall system transmit power is reduced. …”
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Optimized machine learning model for Alzheimer and epilepsy detection from EEG signals by P. Jasphin Jeni Sharmila, T. S. Shiny Angel

“…The attained accuracy of 94% is much better than existing Gaussian Mixture Model (GMM), Relevance Vector Machine (RVM), Support Vector Machine (SVM), and Artificial Neural Network (ANN) methods.…”
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Transformer-Based Power Conversion System with Synchronous Adjustment of Modulated Inverters by Oleschuk V.

“…Purpose of this work – dissemination of specialized schemes of space-vector modulation for synchronous adjustment of multi-inverter system with power transformer. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…Including NMR T2 data as an input feature enhanced the model's ability to capture multimodal peaks in unconventional rocks, making the prediction problem overdetermined. By predicting vector functions from vector input features, we effectively reduced prediction errors. …”
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Effects of Mixing Tree Species on Soil Enzyme Activity and Carbon-Use Efficiency in Eroded Masson Pine Forest by WANG Man, JIANG Yongmeng, ZHANG Shiliang, ZHANG Jinxiu, ZHENG Linmin, ZENG Zhiwei, LYU Maokui, XIE Jinsheng

“…[Objective] Soil microbial metabolic efficiency profoundly affects soil nutrient cycling and soil carbon sequestration in the recovery process of eroded and degraded areas. However, it is unclear how tree species mixture affects soil extracellular enzyme stoichiometry and microbial carbon-utilization efficiency in single Pinus massoniana plantation in the eroded red soil area. …”
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Scientific Research on the Issue of Soft Skills Development (Review of the Data in International Databases of Scopus, Web of Science) by I. K. Tsalikova, S. V. Pakhotina

“…For the first time, the authors conducted retrospective panoramic review of publications on soft skills, systemised additional information concerning the topic under discussion and identified the similarities between existing problems in different countries: lack of appropriate attention to soft skills development when designing educational programmes; insufficient involvement of employers in this process; complexity of the process of observing and evaluating soft skills; difference between the set of competencies acquired by graduates during studies with expectations and demand in the labour market, etc. …”
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Correlation between lithospheric magnetic anomalies and tectonic structures in the Norwegian-Greenland region of the Arctic by D. Yu. Abramova, L. M. Abramova, S. V. Filippov

“…Map showing the total vector modulus of the lithospheric field has been constructed for the studied area. …”
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Comparative Analysis of Text Mining Classification Algorithms for English and Indonesian Qur’an Translation by Rahmat Hidayat, Sekar Minati

“…Indonesian translation was processed by using the sastrawi package in Python to do the pre-processing and StringToWord Vector in WEKA with the TF-IDF method to implement the algorithms. …”
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ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

“…The preparation and preliminary processing of images contains the following constituents like detection and localization of area of the person on the image, assessment of an angle of rotation and an inclination, extension of the range of brightness of pixels and an equalization of the histogram to smooth the brightness and contrast characteristics of the processed images, scaling of the localized and processed area of the person, creation of a vector of features of the scaled and processed image of the person by a Principal component analysis (algorithm NIPALS), training of the multiclass SVM-classifier.The provided algorithm of expansion of the training selection is oriented to be used in practice and allows to expand using 3D-models the processed range of 2D – photographs of persons that positively affects results of identification in system of face recognition. …”
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Force Measurement Technology of Vision‐Based Tactile Sensor by Bin Fang, Jie Zhao, Nailong Liu, Yuhao Sun, Shixin Zhang, Fuchun Sun, Jianhua Shan, Yiyong Yang

“…Then, the relationship between the marker type and the category of force measurement is discussed in detail. On this basis, the process of marker feature extraction is summarized, including image processing and marker‐matching technologies. …”
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Inventory of Galilean Transformation of uniform linear motion in position-time graphs by E. B. Merki, S. I. Hofer, A. Vaterlaus, A. Lichtenberger

“…Moreover, existing tests that explore differences in reference frame typically focus on the equivalence principle through written answers, interviews, or simple calculations and vector addition; however, none of these tests evaluate position-time graphs. …”
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ExAutoGP: Enhancing Genomic Prediction Stability and Interpretability with Automated Machine Learning and SHAP by Yao Rao, Lilian Zhang, Lutao Gao, Shuran Wang, Linnan Yang

“…For each dataset, we applied ExAutoGP and five baseline models—Genomic Best Linear Unbiased Prediction (GBLUP), BayesB, Support Vector Regression (SVR), Kernel Ridge Regression (KRR), and Random Forest (RF). …”
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