Media bias and electoral discourse by Mar Castillo-Campos, David Becerra-Alonso, David Varona-Aramburu

Get full text

Calculation of coal-water fuel combustion technology based on mathematical modeling by Н.К. Танашева, Л.Л. Миньков, А.Ж. Тлеубергенова, К.К. Саденова

“…Numerical simulation of the process of burning coal-water fuel was carried out in the software package ANSYS Fluent. …”
Get full text

A Multi-Layered Security Framework for Medical Imaging: Integrating Compressed Digital Watermarking and Blockchain by Brahim Ferik, Lakhdar Laimeche, Abdallah Meraoumia, Omar Aldabbas, Muath AlShaikh, Abdelkader Laouid, Mohammad Hammoudeh

Get full text

An approach based on double-frontier DEA for determining priorities and obtaining weights in AHP by Hossein Azizi

“…Purpose: The Analytic Hierarchy Process (AHP) is a multiple criteria decision-making method extensively used in various fields. …”
Get full text

Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…Ultimately, the CKG empowers experts to efficiently analyze data and gain comprehensive understanding of cyberattacks, thereby help minimize potential attack vectors.…”
Get full text

Efficient Fourier base fitting on masked or incomplete structured data by Fariba Karimi, Fariba Karimi, Esra Neufeld, Arya Fallahi, Arya Fallahi, Vartan Kurtcuoglu, Niels Kuster, Niels Kuster

“…The developed method can be used for processing multi-dimensional data, including smoothing and intra-/extrapolation, even when confronted with missing data.ResultsThe developed method was verified using 1D, 2D, and 3D benchmarks. …”
Get full text

Library and Information Education in the Digital Age: Students’ Expectations by E. Yu. Kozlenko, N. Yu. Vaytsekhovich

“…The survey touched upon such research areas as a promising vector for the development of library education, students’ readiness for library activities in a digital environment, and the use of information and communication technologies in the learning process. …”
Get full text

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

Get full text

From Narratives to Diagnosis: A Machine Learning Framework for Classifying Sleep Disorders in Aging Populations: The <i>sleepCare</i> Platform by Christos A. Frantzidis

“…<b>Results</b>: The transformer-based model utilizing BERT embeddings and an optimized Support Vector Machine classifier achieved an overall accuracy of <b>81%</b> on the test set. …”
Get full text

Research on traction load forecasting of electrified railway by LIU Fu, LIAO Qishu

“…In order to ensure the power quality of traction power supply system and reduce the costs for purchasing electricity by traction substation, a probabilistic forecasting model of traction load based on sparse Gaussian process (SGP) is proposed. Firstly, the model constructed the input feature vector based on the historical characteristics of traction load and time information. …”
Get full text

Multi-factor person entity relation extraction model based on distant supervision by Yangchen HUANG, Yan JIA, Liang GAN, Jing XU, Jiuming HUANG, Zhonghe HE

Get full text

An Innovative Approach for Fake News Detection using Machine Learning by Maya Hisham, Raza Hasan, Saqib Hussain

Get full text

RECENT GEODYNAMICS OF FAULT ZONES: FAULTING IN REAL TIME SCALE by Yu. O. Kuzmin

“…It is shown that the RSA interferometry method does not provide for an unambiguous determination of ground surface displacement vectors.…”
Get full text

Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks by Maliheh Miri, Vahid Abootalebi, Hamid Saeedi-Sourck, Dimitri Van De Ville, Hamid Behjat

“…The selected features are fed into a binary support vector machine that predicts the label of the test trials. …”
Get full text

Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation by Ahmad J. Obaidullah, Wael A. Mahdi

“…Four models—Gaussian Process Regression (GPR), Support Vector Regression (SVR), Bayesian Ridge Regression (BRR), and Kernel Ridge Regression (KRR)—are evaluated. …”
Get full text

Application of five seismic attributes in natural fracture prediction for deep coalbed methane production along the eastern margin of the Ordos Basin by Jiangnan TONG, Feng WANG, Feng ZHANG, Wei HOU, Zhongbai LI, Liang JI, Yanan JIANG, Wei SUN

“…Therefore, the fine-scale characterization of the planar distribution of natural fractures is crucial to deep CBM production.Objectives and MethodsThis study investigated the No.8 coal seam in the Carboniferous Benxi Formation within the Daning-Jixian block on the eastern margin of the Ordos Basin. Through offset vector tiles (OVT) domain processing of offshore 3D wide-azimuth, broadband, and high-density (WBH) seismic data, this study determined five-dimensional seismic data: time, space (3D coordinates), offset (or shot-to-geophone distance), and azimuth. …”
Get full text

THE MODEL OF CONTROL VIA A WIRELESS COMMUNICATION CHANNEL BASED ON PROBABILISTIC ALGORITHMS OF CRYPTOGRAPHIC TRANSFORMATIONS by V. A. Kozlov, V. A. Ryndjuk, K. O. Bondarenko, V. O. Khachatryan

“…The algorithm is implemented by introducing into his scheme initialization vector which is transmitted to the control object in encrypted form, together with the cipher of the control action. …”
Get full text

Construction and application of a TCN-LSTM-SVM-based time series prediction model for water inflow in coal seam roofs by Xuan LIU, Yadong JI, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chaofeng LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

“…Accordingly,this study proposed a prediction model for water inflow along the mining face in the studied mine based on the temporal convolutional network (TCN), long short-term memory (LSTM), and support vector machine (SVM)—the TCN-LSTM-SVM model. First, by raw data processing using the TCN framework, this model extracted the dependency between mining footage and water inflow and its dynamic characteristics. …”
Get full text

Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…The study also proposes the novel “Vector Value of the Radial Difference (VVRD)” metric, which effectively quantifies prediction trend accuracy. …”
Get full text

Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

Get full text