Traffic noise research in tambov city by A. A. Guskov, N. A. Stepanov, S. A. Anokhin

“…Introduction. The problem of traffic noise on the road network of cities is considered. …”
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The Influence of Epistemological Beliefs and Dispositions on the Development of Critical Thinking by Maria V. Solodikhina

“…Empirical studies of various pedagogical influences aimed at the development of critical thinking have revealed a problem — regardless of the approach and teaching methods, approximately the same proportion of students who do not demonstrate improvement in their critical thinking skills are recorded. …”
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Mathematics education undergraduates’ personal definitions of the notion of angle of contiguity in Kinematics by Zakaria Ndemo, David Mtetwa

“…The concept of a mathematical definition causes severe difficulties among students during problem solving and proving activities. Students’ difficulties with the use of mathematical definitions often arise from the fact that students are often given those definitions instead of constructing them. …”
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La Terminologie Linguistique De L’anglais Vers L’arabe: Quels Procédés De Création, Quels Procédés De Transfert? by Hassina Lahlou

“…Dans le cas de l'équivalence, la néologie, sous ses différentes formes: dérivation, composition, amalgame, présente une solution clé pour résoudre les problèmes de traduction. Cependant, le transfert de la terminologie linguis- tique de l'anglais vers l'arabe présente plusieurs difficultés métho- dologiques dues aux différences dans les constructions des termes entre les deux systèmes linguistiques. …”
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DCEEMR: A Delay-Constrained Energy Efficient Multicast Routing Algorithm in Cognitive Radio Ad Hoc Networks by Xuna Miao, Miaolei Deng

“…The algorithm uses delay-energy function to construct the multicast tree based on the spectrum selection. …”
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Inferring regulatory networks by combining perturbation screens and steady state gene expression profiles. by Ali Shojaie, Alexandra Jauhiainen, Michael Kallitsis, George Michailidis

“…Data obtained from experiments that perturb genes by knockouts or RNA interference contain useful information for addressing this reconstruction problem. However, such data can be limited in size and/or are expensive to acquire. …”
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Increasing the Classification Achievement of Steel Surface Defects by Applying a Specific Deep Strategy and a New Image Processing Approach by Fatih Demir, Koray Sener Parlak

“…A new deep learning model called the Parallel Attention–Residual CNN (PARC) model was constructed to extract deep features concurrently by training residual structures and attention. …”
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Design of Online Monitoring System for High-voltage Power Transmission Equipment Based on LoRa Technology by WANG Yang, XU Yang, LIU Yang, XUE Yifeng, GAO Kun, WANG Jihong

“…The real-time transmission of online monitoring data for high-voltage transmission equipment in remote areas is a difficult problem in practical applications due to the lack of network. …”
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A novel destination prediction attack and corresponding location privacy protection method in geo-social networks by Di Xue, Li-Fa Wu, Hua-Bo Li, Zheng Hong, Zhen-Ji Zhou

“…A new data preprocessing method is designed to construct a reasonable complete check-in subset from the worldwide check-in data set of a real-world geo-social network without loss of generality and validity of the evaluation. …”
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Classification of transaction costs of rent business entities by S.V. Bardash, Т.S. Osadcha

“…The article is aimed at solving this problem, as well as outlining ways to reflect transaction costs in the accounting system. …”
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CATransU-Net: Cross-attention TransU-Net for field rice pest detection. by Xuwei Lu, Yunlong Zhang, Congqi Zhang

“…A Cross-Attention TransU-Net (CATransU-Net) model is constructed for paddy pest detection by combining U-Net and Transformer. …”
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Dynamic risk prediction in financial-production systems using temporal self-attention and adaptive autoregressive models by Xuduo Lin, Ziang Qi 

“…To address this, we propose an innovative hybrid temporal model, TSA-AR (Temporal Self-Attention Adaptive Autoregression), which combines temporal self-attention mechanisms with an adaptive autoregressive model to solve the risk prediction problem in financial and production systems. TSA-AR performs multi-scale feature extraction through an improved Informer encoder, dynamically adjusts model parameters with a dynamic autoregressive module, and constructs the nonlinear dependencies between financial and production systems through a cross_modal interaction graph. …”
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Video temporal perception characteristics based just noticeable difference model by Yafen1 XING, Haibing YIN, Hongkui WANG, Qionghua LUO

“…The existing temporal domain JND(just noticeable distortion) models are not sufficient to depict the interaction between temporal parameters and HVS characteristics, leading to insufficient accuracy of the spatial-temporal JND model.To solve this problem, feature parameters that can accurately describe the temporal characteristics of the video were explored and extracted, as well as a homogenization method for fusing heterogeneous feature parameters, and the temporal domain JND model based on this was improved.The feature parameters were investigated including foreground and background motion, temporal duration along the motion trajectory, residual fluctuation intensity along motion trajectory and adjacent inter-frame prediction residual, etc., which were used to characterize the temporal characteristics.Probability density functions for these feature parameters in the perception sense according to the HVS(human visual system) characteristics were proposed, and uniformly mapping the heterogeneous feature parameters to the scales of self-information and information entropy to achieve a homogeneous fusion measurement.The coupling method of visual attention and masking was explored from the perspective of energy distribution, and the temporal-domain JND weight model was constructed accordingly.On the basis of the spatial JND threshold, the temporal domain weights was integrated to develop a more accurate spatial-temporal JND model.In order to evaluate the performance of the spatiotemporal JND model, a subjective quality evaluation experiment was conducted.Experimental results justify the effectiveness of the proposed model.…”
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Achievements of Tibetan medicine and their reflection in Kalmyk Buddhist medical terminology: Tibetan-Oirat parallels, their semantics and etymology (based on written sources on th... by E. U. Omakaeva

“…The main task is to pose the problem of constructing a Tibetan-Kalmyk-Russian thesaurus of traditional medical terminology, which requires a comprehensive study and systematization of key terms denoting generic objects of research, as well as sections and related disciplines of the subject area “Buddhist Medicine”. …”
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Prediction of stress-strain behavior of rock materials under biaxial compression using a deep learning approach. by Changsheng Li, Xinsong Zhang

“…However, due to the complex mechanical properties of rock materials, existing deep learning methods have the problem of insufficient accuracy in predicting the stress-strain curves of rock materials. …”
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Intelligent Stroke Disease Prediction Model Using Deep Learning Approaches by Chunhua Gao, Hui Wang

“…This paper uses a range of physiological characteristic parameters and collaborates with deep neural networks, such as the Wasserstein generative adversarial networks with gradient penalty and regression network, to construct a stroke prediction model. Firstly, to address the problem of imbalance between positive and negative samples in the stroke public data set, we performed positive sample data augmentation and utilized WGAN-GP to generate stroke data with high fidelity and used it for the training of the prediction network model. …”
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CLDA: An Effective Topic Model for Mining User Interest Preference under Big Data Background by Lirong Qiu, Jia Yu

“…In the present big data background, how to effectively excavate useful information is the problem that big data is facing now. The purpose of this study is to construct a more effective method of mining interest preferences of users in a particular field in the context of today’s big data. …”
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On Certain Approaches to Development of Foreign Language Professionally-Oriented Textbook for Engineering Bachelor Courses by E. V. Rybakova

“…Considerable attention is paid to defining the thematic professional content of textbook sections, to ensuring its conformity with modern educational standards. The need for problem consideration of professional themes is emphasized as a way of stimulating communicative activities. …”
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Broad-RBFNN-Based Intelligence Adaptive Antidisturbance Formation Control for a Class of Cluster Aerospace Unmanned Systems with Multiple High-Dynamic Uncertainties by Erxin Gao, Xin Ning, Zheng Wang, Xiaokui Yue

“…This paper investigates the antidisturbance formation control problem for a class of cluster aerospace unmanned systems (CAUSs) suffering from multisource high-dynamic uncertainties. …”
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Autonomous Maneuver Decision of UCAV Air Combat Based on Double Deep Q Network Algorithm and Stochastic Game Theory by Yuan Cao, Ying-Xin Kou, Zhan-Wu Li, An Xu

“…Firstly, through the UCAV dynamics model and maneuver library, a reasonable air combat situation assessment model and advantage reward function are established, and the sample data of situation assessment indicators are constructed using the structure entropy weight method. …”
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