National self-consciousness of members of society in the context of the social dynamics of a transforming society by Тетяна Єрескова, Олег Мазурик

“…Today, there is an urgent need to analyze specific social phenomena and processes in the sociocultural space of social systems, which determine the potential vectors of their social transformations. …”
Get full text

Modeling engineering of therapeutic education approaches for diabetic patients and quality of the support and human resources management process : Towards a new challenge in the ma... by Jamila Essellouti, Mustapha Bassiri, Malika Tridane, Said Belaaouad

“…The modeling engineering of psychotherapeutic approaches to diabetic patients has a positive impact on the quality of the support process and organizational, personal and professional development, in the sense that the education and neuro-educational training project constitutes a powerful human resources management vector.The research would attempt to analyze therapeutic education models and corresponding health promotion approaches, as well as the identification of methods and techniques used in health practiceAs a result, the quality of the neuro-educational approaches is the guarantor of the effectiveness of the recommended support system. …”
Get full text

AHP-Guided Stacked Ensemble Modeling for Student Engagement Level Prediction in Online Education by Jingjing Fu, Linjie Luo, Zhifeng Zhong, Jiaming Qin

“…Second, the use of a novel feature selection method based on Analytic Hierarchy Process (AHP) and an iterative approach. In this step, AHP is used to rank and weight the features, and then an iterative process is used to determine an appropriate number of these ranked features. …”
Get full text

Experimental Study on Evaluation of Organization Collaboration in Prefabricated Building Construction by Dingjing Bao, Yuan Chen, Shuai Wan, Jinlai Lian, Ying Lei, Kaizhe Chen

“…Moreover, the BO-XGBoost model was compared with the random forest, support vector machine, and logistic regression prediction models. …”
Get full text

A Riemannian Dichotomizer Approach on Symmetric Positive Definite Manifolds for Offline, Writer-Independent Signature Verification by Nikolaos Vasilakis, Christos Chorianopoulos, Elias N. Zois

Get full text

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. …”
Get full text

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. …”
Get full text

Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale by Lucia Gonzalez-Diaz, Irene Gonzalez-Garcia, Jose L. Gonzalez-Andujar

“…Models are useful for identifying key processes and understanding the evolution of resistance. …”
Get full text

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. …”
Get full text

Designing a classroom learning in a university using the electronic learning course by Irina Anzaurovna Udzhukhu, Ruslan Kazbekovich Meshvez

“…The coronavirus pandemic that has taken over the whole world has changed the vector of education from the traditional form of its organization to distance and hybrid, thus actualizing the demand for e-learning content. …”
Get full text

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

“…Also, the proposed performance assessment technique is used during the lab exam sessions to support the automatic grading process conducted by the LLMS Auto-Grading Module. …”
Get full text

Automated painting color matching technology based on semantic intelligence understanding by Jiayin Zhang

Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

High-Resolution Single-Pixel Imaging of Spatially Sparse Objects: Real-Time Imaging in the Near-Infrared and Visible Wavelength Ranges Enhanced with Iterative Processing or Deep Le... by Rafał Stojek, Anna Pastuszczak, Piotr Wróbel, Magdalena Cwojdzińska, Kacper Sobczak, Rafał Kotyński

“…In the first stage, the vector of SPI measurements is multiplied by the generalized inverse of the measurement matrix. …”
Get full text

An Adaptive SVD-Based Approach to Clutter Suppression for Slow-Moving Targets by Yuhao Hou, Baixiao Chen

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text