MPTTF-BERT: Multi-Prefix-Tuning Template Fusion by BERT for Zero-shot English Text Relation Extraction Model by Fangqi Song

“…The words output from template and the relation description text are compared in the word vector space to judge the relation category. Secondly, the part of speech of the description text of the relation class to be extracted is introduced as the feature, and the weight between the feature and each template is learned. …”
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Modern State and civil society: promising directions and forms of interaction in the field of public administration by O. M. Muzychuk, K. L. Buhaichuk

“…It is emphasised that in the newest understanding of the paradigm of relations between the modern State and civil society, there is a socially oriented vector of the State, which is diverse and closely related to the needs of the population. …”
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Russia and the Transforming European Security by NAPOLEON POP, ANDREEA - EMANUELA DRĂGOI

“…Since the end of the Cold War, Russia has retained world’s special attention as a key vector for both global and European security. While the energetic link is undeniable the backbone for EU-Russia relations, the sanctions game prove to be a stone corner for redefining not only the course of bilateral relations but the future of European security. …”
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Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

“…Throughout, an iterative optimization process, window size was determined as seven points, considering pattern duration. …”
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Golf swing classification with multiple deep convolutional neural networks by Libin Jiao, Rongfang Bie, Hao Wu, Yu Wei, Jixin Ma, Anton Umek, Anton Kos

“…The use of smart sports equipment and body sensory systems supervising daily sports training is gradually emerging in professional and amateur sports; however, the problem of processing large amounts of data from sensors used in sport and discovering constructive knowledge is a novel topic and the focus of our research. …”
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy by Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, Abeer Alsadoon, Madhav Parsad Koirala, Sumeet Gill

“…The novelty lies in the data preparation process, where numerical features were imputed using the mean, categorical features were imputed using chi-square methods, and normalization was applied. …”
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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…(Results and discussion) The analysis encompasses scientific publications from 2010 to 2023, with a primary focus on comparing the effectiveness of deep learning algorithms, such as convolutional neural networks (CNN), against traditional methods, including support vector machines (SVMs) and random forest classifiers. …”
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An automated approach to identify sarcasm in low-resource language. by Shumaila Khan, Iqbal Qasim, Wahab Khan, Aurangzeb Khan, Javed Ali Khan, Ayman Qahmash, Yazeed Yasin Ghadi

“…Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. …”
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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…In addition, reliance on varying data processing methods across studies reduces the generalisability of current models. …”
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A Method for Developing a Digital Terrain Model of the Coastal Zone Based on Topobathymetric Data from Remote Sensors by Mariusz Specht, Marta Wiśniewska

“…It should be emphasised that bathymetric data for the shallow waterbody (less than 1 m deep) were obtained based on high-resolution photos taken by a UAV. They were processed using the “Depth Prediction” plug-in based on the Support Vector Regression (SVR) algorithm, which was implemented in the QGIS software as part of the INNOBAT project. …”
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Keywords, morpheme parsing and syntactic trees: features for text complexity assessment by Dmitry A. Morozov, Ivan A. Smal, Timur A. Garipov, Anna V. Glazkova

“…The methods for generating a feature vector when automatically assessing the text complexity are quite diverse. …”
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Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana by John-Bosco Diekuu, M. S. Mekala, Ulric Sena Abonie, John Isaacs, Eyad Elyan

“…This includes Random Forest, Support Vector Machine, Long Short-Term Memory and Bidirectional Long Short-Term Memory to predict student performance semester-wise over eight semesters. …”
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Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data by Fuyong Wang, Xianmu Hou

“…Six machine learning algorithms are utilized: support vector machine (SVM), backpropagation (BP) neural network, gaussian process regression (GPR), extreme gradient boosting (XGBoost), K-nearest neighbor (KNN), and random forest (RF). …”
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Strategic Diagnostics of the Industry as a Strategizing Object by N. I. Sasaev

“…In this regard, the purpose of this article was to disclose one of the preparatory stages for the development of a strategy, namely, the study of the industry as an object of strategizing.The article justifies the necessity of dividing the analysis of the industry as an object of strate-gizing into two stages: strategic diagnostics (the study of the main characteristics, features, the current trajectory of development and potential), and OTSW-analysis (the study of the object of industrial strategizing from the position of searching for future prospects, choosing a vector of long-term development and forming a trajectory of movement in the chosen direction). …”
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Margin weighted robust discriminant score for feature selection in imbalanced gene expression classification. by Sheema Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan

“…The score is weighted by margin weights extracted from support vectors to enhance the discriminative power of genes/features thereby highlighting its potential for class separation. …”
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Method for Selecting Combinations of Optical Chemosensory Materials for Identification of Vapor-Phase Ecotoxicants by R. D. Chuvashov

“…Classification models based on the support vector method and the principal components method are used to classify responses of the combination of materials. …”
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FREEDOM OF THE INFORMATION SPACE. IS IT A REALITY OR ILLUSION? by Elena V. Korableva

“…The purpose: to define and analyze the limits of freedom and personal fulfillment in the information space in accordance with the change of the vector information and technical characteristics of social development. …”
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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems by Ismail Bibers, Mustafa Abdallah

“…By integrating diverse machine learning models including decision trees, support vector machines, and neural networks through techniques such as bagging, boosting, blending, and stacking, our approach aims to enhance detection accuracy and robustness against evolving threats. …”
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Load aggregator adjustable capability forecasting based on graph convolution neural network by DONG Lingrui, WU Binyuan

“…Taking the mean absolute percentage error (MAPE) index obtained from the example analysis as an example, compared with long short-term memory (LSTM), support vector machine (SVM), and random forest regression (RFR), the forecasting accuracy of GCN model has increased by 1.83%, 2.10% and 2.72% in terms of RMSE.…”
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Comparative Analysis of Specular and Diffuse Reflection Near-Infrared Spectra in Wood Species Classification by Cheng-Kun Wang, Peng Zhao, Li-Na Dong, Mao-Ni Zhao

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