Analysis of scientific approaches to considering the potential of cinema therapy in working with children with mental disabilities. Part 2. Integrated sociological analysis of the... by Dmitry Vyacheslavovich Bosov, Ruslan Yuryevich Dolya

“…Wooder’s scientific concepts (getting rid of emotional problems through the use of specially selected feature films realized in specific film genres) and A. …”
Get full text

Topology and fiber path optimization of composite structures: A critical review by Shuya Nozawa, Gokhan Serhat

“…The review concludes with remarks on relevant open problems and potential future research directions.…”
Get full text

Recognition of Facial Expressions of Different Emotional Intensities in Patients with Frontotemporal Lobar Degeneration by Roy P. C. Kessels, Lotte Gerritsen, Barbara Montagne, Nibal Ackl, Janine Diehl, Adrian Danek

“…Behavioural problems are a key feature of frontotemporal lobar degeneration (FTLD). …”
Get full text

Underwater acoustic channel estimation method based on response generative network by XU Ming, ZHANG Qi

“…The convergence process of the objective function was decomposed into several sub-problems to improve the model’s convergence speed and reduce errors. …”
Get full text

The transformation of the traditional nature management of the turkic-mongolian peoples in the basin of the Selenga river by Yu. I. Drobyshev

“…The present study examines the problems and features of the adaptation of ethnic groups to natural conditions, the knowledge and skills of rational nature management among the peoples of the region under consideration. …”
Get full text

Ensuring economic security at the regional level as a state influence direction by V.V. Ivaniuta

“…As a result of the analysis of the main problems of ensuring the economic security of the country, the essence of the economic security of the regions was identified as one of the components of ensuring national security at the present stage of social development. …”

Kernel Local Linear Discriminate Method for Dimensionality Reduction and Its Application in Machinery Fault Diagnosis by Kunju Shi, Shulin Liu, Hongli Zhang, Bo Wang

“…First of all, KLLD is a supervised dimension reduction method that can overcome the out-of-sample problems. Secondly, short-circuit problem can be avoided. …”
Get full text

Student behavior patterns in vocational education big data based on clustering algorithm by Jing Jin

“…Abstract In vocational education, big data analysis of student behaviour has problems such as single data dimension, failure to effectively identify differences between student groups, and overly simple data analysis methods. …”
Get full text

An Effective Strategy of Object Instance Segmentation in Sonar Images by Pengfei Shi, Huanru Sun, Qi He, Hanren Wang, Xinnan Fan, Yuanxue Xin

“…By integrating this with ResNet and transforming traditional convolutions into deformable convolutions, we further improve the ability of the network to extract features from sonar images. Additionally, we incorporate a bidirectional feature fusion module to enhance information fusion. …”
Get full text

Application of open domain adaptive models in image annotation and classification. by Sheng Li, Zhousheng Chang, Haizhen Liu

“…The model combines the channel attention mechanism to dynamically extract important features, optimizes the cross-domain feature alignment effect using dynamic weight adjustment and subdomain alignment strategy, and balances the classification performance of known and unknown categories by dynamic threshold control. …”
Get full text

Keypoint Detection Based on Curvature Grouping and Adaptive Sampling by Bifu Li, Yu Cheng, Weitong Li

“…In the methods, reproducibility and interpretability of keypoints are relatively poor. To address the problems, this paper introduces point cloud geometric features to build a keypoint detection and description network that makes the keypoints more stable and their geometric properties easier to distinguish. …”
Get full text

METHODOLOGY AND RESULTS OF THE MAIN TECHNICAL OF PARAMETERS OF THE MANEUVERABLE UNMANNED AERIAL VEHICLE JUSTIFICATION by M. A. Kiselev

“…The recent experience of creating an unmanned combat aerial vehicle indicates that the main problems do not concern the development of an unmanned fighter as an aerial vehicle. …”
Get full text

Small target detection of bearing surface defects based on improved YOLOv5s. by Haisong Xu, Xiaolin Shi, Han Zhang, Fan Yang, Yun Chen

“…However, traditional detection methods have problems such as insufficient feature extraction for small targets and sensitivity to background interference. …”
Get full text

Multibranch semantic image segmentation model based on edge optimization and category perception. by Zhuolin Yang, Zhen Cao, Jianfang Cao, Zhiqiang Chen, Cunhe Peng

“…To address the above problems, we propose an edge optimization and category-aware multibranch semantic segmentation network (ECMNet). …”
Get full text

Human Motion Data Retrieval Based on Staged Dynamic Time Deformation Optimization Algorithm by Hongshu Bao, Xiang Yao

“…By extracting key frames from the original motion to perform horizontal dimensionality reduction and defining features based on Laban motion analysis, the motion segment is subjected to vertical feature dimensionality reduction. …”
Get full text

Mopidip: a modular real-time pipeline for machinery diagnosis and prognosis based on deep learning algorithms by Mattia Pujatti, Davide Calzà, Andrea Gobbi, Piergiorgio Svaizer, Marco Cristoforetti

“…In addition, it features a communication system which allows for an online data stream to enable real-time monitoring and maintenance. …”
Get full text

Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

“…We address the high-dimensional data and imbalanced problems by introducing feature selection strategically and Synthetic Minority Over-sampling Technique (SMOTE). …”
Get full text

A Crowd Density Detection Algorithm for Tourist Attractions Based on Monitoring Video Dynamic Information Analysis by Lina Li

“…The hierarchical density estimator uses a hierarchical strategy to mine semantic features and multiscale information in a coarse-to-fine manner, and this is used to solve the problem of scale variation and perspective distortion. …”
Get full text

Optimization Strategies for Electric Vehicles: A Review of Evolutionary, Swarm, and Hybrid Algorithms by Kumar A. Vijay, Manohar V. Joshi

“…These challenges frequently feature non-linear relationships that traditional optimization techniques find difficult to handle effectively. …”
Get full text

The Heat Equation Solution Near the Interface Between Two Media by Natalia T. Levashova, Olga A. Nikolaeva

“…A function  with this feature  can be a solution to the problem for the heat equation  with a discontinuous thermal diffusivity and discontinuous function  describing  heat  sources.  …”
Get full text