Operationalization of the “Online Generation” phenomenon by R. G. Smirnov

“…The problem of definition and operationalization of the “Online Generation” phenomenon has been discussed in the article. …”
Get full text

THE METOD OF SYNTHESIS OF MULTIBAND MATCHING DEVICE by M. A. Yantsevich, G. A. Filippovich

“…The article covers the problem of synthesis of mylti-band frequency response matching circuits. …”
Get full text

An Efficient Attentional Image Dehazing Deep Network Using Two Color Space (ADMC²-net) by Samia Haouassi, Di Wu

“…The majority of existing dehazing models can achieve the haze removal problem. However, they fail to preserve colors and fine details. …”
Get full text

Collaborative Big Data Management and Analytics in Complex Systems with Edge 2021 eaCamera: A Case Study on AI-Based Complex Attention Analysis with Edge System by Chaopeng Guo, Peimeng Zhu, Feng Li, Jie Song

“…However, it is hard to define the behavior features related to the variety of tasks and behaviors. …”
Get full text

COMPREHENSIVE METHODOLOGY FOR TRANSLATION ANALYSIS OF CROSS-CULTURAL INCONGRUITY IN ENGLISH ANECDOTES by Oleksandr S. Sodel

“…The article substantiates the problem of performing translation analysis of cross-cultural incongruity in English anecdotes in Ukrainian translation using the methodology consisting of four methodological blocks (qualification, linguocultural, linguistic, and translation ones). …”
Get full text

MHOE-DETR: A Ship Detection Method for Small and Fuzzy Targets Based on Satellite Remote Sensing Image Data by Zhuhua Hu, Xiyu Fan, Yaochi Zhao, Wei Wu, Jie Liu

“…The network groups and processes input features in parallel, integrating both low-dimensional and high-dimensional features to alleviate the information bottleneck problem. …”
Get full text

TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables) by QI Junyan, CHE Yuhao, WANG Lei, YUAN Ruifu

“…However, traditional single prediction models have limited capability in modeling long-term trends and insufficient sensitivity to local fluctuations, often making it difficult to fully capture these complex features. To address this problem, an anchor bolt (cable) stress prediction model based on an Improved Slime Mould Algorithm (ISMA) optimized Temporal Convolutional Network (TCN)-Long Short-Term Memory (LSTM)-Multi-Head Self-Attention (MHSA) architecture is proposed. …”
Get full text

A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism by Yuanshuo Guo, Jun Wang, Yan Zhong, Tao Wang, Zeyuan Sui

“…In addition, to address load prediction challenges posed by extreme weather and promote the sustainable development of power systems, the proposed model integrates many models to solve this problem. First, optimized variational mode decomposition (VMD) is used to decompose the load series and the sub-sequences are combined with relevant features, to form the different input sequences of the prediction model. …”
Get full text

Bazgrota w twórczości plastycznej dziecka – obszar wciąż niedoceniany by Urszula Szuścik

“…As a result of the theoretical analysis of the problem of scribbling in a child’s drawing, the author defined the following features of the scribble, such as: dynamics of change, spontaneity of action, elementary kinesthetic in building a form, non-objectivity, own internal rhythm of drawing and painting, subjectivity, projection of the form of physical activity, fabulous content, novelty results, originality of the approach, expressiveness. …”
Get full text

Negativität in der Psychologie Jacob Böhmes by Thomas Isermann

“…At first, Boehme’s psychology is presented in its basic features. Then, in an excursus, the academic concept of the soul around 1600 is presented in order to show how Boehme differs from it. …”
Get full text

Immune Embedded Linux Core System with Multiple Sensors by Tao Gong

“…The security of the embedded Linux core system is more important than before because this system is becoming more useful to solve the security problem of the computer system than the Windows operating system. …”
Get full text

Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine by A. Fernandez-Navamuel, A. Fernandez-Navamuel, N. Gorostidi, N. Gorostidi, D. Pardo, D. Pardo, D. Pardo, V. Nava, E. Chatzi

“…<p>This work proposes an uncertainty-aware approach to the inverse problem of damage identification in a floating offshore wind turbine (FOWT). …”
Get full text

Clustering-Driven Optimization of RRH-BBU Assignment for Green Communication Networks With Big Data Analytics by Asmaa Ibrahim, Ahmed Elsheikh, Bassem Mokhtar, Josep Prat

“…This study employs clustering techniques to divide the complex NLP problem into simpler optimization tasks, achieving optimal RRH-BBU assignments. …”
Get full text

Self-Supervised Foundation Model for Template Matching by Anton Hristov, Dimo Dimov, Maria Nisheva-Pavlova

“…Finding a template location in a query image is a fundamental problem in many computer vision applications, such as localization of known objects, image registration, image matching, and object tracking. …”
Get full text

Attention-mechanism-based tracking method for intelligent Internet of vehicles by Xu Kang, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani

“…Beyond the traditional Global Positioning System sensor, the image sensor can capture different kinds of vehicles, analyze their driving situation, and can interact with them. Aiming at the problem that the traditional convolutional neural network is vulnerable to background interference, this article proposes vehicle tracking method based on human attention mechanism for self-selection of deep features with an inter-channel fully connected layer. …”
Get full text

An abnormal traffic detection method for chain information management system network based on convolutional neural network by Chao Liu, Chunxiang Liu, Changrong Liu

“…Chain information management system is widely used, providing convenience for the operation and management of enterprises. However, the problem of abnormal network traffic becomes increasingly prominent currently. …”
Get full text

Consistency regularization for few shot multivariate time series forecasting by Yumei She, Yi Hong, Shikai Shen, Bin Yang, Liyi Zhang, Jianxiao Wang

“…Abstract Multivariate time series forecasting aims to accurately predict future trends by capturing and analyzing various features of the time series. Adequate training data are crucial for ensuring the model’s generalizability. …”
Get full text

A Novel Lightweight U-Shaped Network for Crack Detection at Pixel Level by Zhong Luo, Xinle Li, Yanfeng Zheng

“…Meanwhile, a coordinate-aware fusion module (CFM) is proposed, which fully fuses skip connection features and decoder features to enhance cross-channel interaction information. …”
Get full text

Influence of Geometry and Boundary Conditions in Area of Cohesion between Materials on the Reflection of an Ultrasonic Beam. Part 1. Theoretical research by A. R. Bayev, A. L. Mayorov, N. V. Levkovich, D. V. Shavlovskiy, M. V. Asadchaya

“…The improvement of efficiency, reliability and productivity of ultrasonic testing of objects with cohesion between materials connected by welding, soldering, gluing, etc. is 'an important problem of the modern production technologies. The purpose of the paper is to determine in 3D space the conditions for increasing the sensitivity and reliability of the flaw detection in the cohesion zone between materials when the form of defect interface can be different.In the first part of the theoretical study the features of the formation of the acoustic fields of ultrasonic waves scattered from solid's interface when spot of an acoustic beam crosses the boundary of the defective region in the shape of an ellipse or a long strip have been investigated. …”
Get full text

Faster Dynamic Graph CNN: Faster Deep Learning on 3D Point Cloud Data by Jinseok Hong, Keeyoung Kim, Hongchul Lee

“…However, it has been difficult to apply such data as input to a convolutional neural network (CNN) or recurrent neural network (RNN) because of their unstructured and unordered features. In this study, this problem was resolved by arranging point cloud data in a canonical space through a graph CNN. …”
Get full text