Dynamic Path Flow Estimation Using Automatic Vehicle Identification and Probe Vehicle Trajectory Data: A 3D Convolutional Neural Network Model by Can Chen, Yumin Cao, Keshuang Tang, Keping Li

“…Therefore, in this paper, the dynamic path flow estimation is based on these two data sources and transformed into a feature learning problem. To fuse the two data sources belonging to different detection ways at the data level, the virtual AVI points, analogous to the real AVI points (turning movements at nodes with AVI detectors), are defined and selected to statically observe the dynamic movement of the probe vehicles. …”
Get full text

Theoretical Approaches аnd Program-Target Method in the Regional Study оf Youth Migration by N. A. Shchitova, V. S. Belozerov, Ju. F. Zolnikova, P. M. Polyan

“…Feature Comparative Research Program spatial differentiation of youth migration in Stavropol region and the Republic of Dagestan includes five stages: preparatory - collection and systematization of statistical and documentary information about youth migration in the Stavropol Territory and Dagestan; sociological research; analytical – identification of spatial features youth migration in Dagestan and Stavropol Territory; practical – development of applied aspects, implementation of research results in practical activities of the authorities of the Stavropol Territory and Republic of Dagestan. …”
Get full text

Design of an Intervention and Education System for Children with Emotional Disorders Based on Semantic Analysis by Ruifang Yang, Yiqun Wang

“…This paper acquires video data by deploying a common camera acquisition and transforms, annotates, frames, and processes the data with the help of feature engineering methods. In addition, this paper proposes a fine-grained action decomposition strategy to solve the problem of extreme imbalance in the dataset to improve the performance of the model and proposes an iterative sampling data fusion strategy, which aims to integrate and fuse data from multiple sources to make them more effective and further improve the robustness and generalization ability of the model. …”
Get full text

Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

“…Additionally, the residual structure is fine-tuned to adapt to dynamic environmental features, thereby enhancing the model’s capability to recognize swing actions. …”
Get full text

Label credibility correction based on cell morphological differences for cervical cells classification by Wenbo Pang, Yue Qiu, Shu Jin, Huiyan Jiang, Yi Ma

“…Firstly, a contrastive learning network is used to extract discriminative features from cell images to obtain more similar intra-class sample features. …”
Get full text

A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHi... by Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Satish V. Talawar, Rajanna Siddaiah

“…The next step involves superpixel segmentation through SLIC-K-Means-BIRCH followed by feature extraction using SIFT with Bag of Features (BoF). …”
Get full text

Results of determining essential breeding traits of a standard grain sorghum sample by V. F. Khlystunov, V. V. Kovtunov

“…This essentially multi-criteria comparison problem currently has neither a theoretical nor an unambiguous practical solution, which determines the relevance of the current study. …”
Get full text

BiSeNeXt: a yam leaf and disease segmentation method based on an improved BiSeNetV2 in complex scenes by Bibo Lu, Yanjun Lu, Di Liang, Jie Yang

“…Secondly, efficient asymmetric multi-scale attention (EAMA) effectively alleviates the problem of lesion adhesion by combining asymmetric convolution with a multi-scale parallel structure. …”
Get full text

Af-CAN: Multimodal Emotion Recognition Method Based on Situational Attention Mechanism by Xue Zhang, Mingjiang Wang, Xiao Zeng, Xuyi Zhuang

“…Af-CAN is meticulously designed with a multimodal feature fusion mechanism that can extract emotion-relevant features from different sources of information and uses advanced attention mechanisms to integrate these features, ensuring the comprehensiveness and accuracy of emotion recognition. …”
Get full text

Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…ResNet outperforms traditional methods by effectively mitigating the vanishing gradient problem, enabling deeper network training, enhancing feature extraction, and improving accuracy in complex pattern recognition tasks. …”
Get full text

Application of deep learning in malware detection: a review by Yafei Song, Dandan Zhang, Jian Wang, Yanan Wang, Yang Wang, Peng Ding

“…The review includes common methods such as convolutional neural networks, recurrent neural networks and generative adversarial networks, focusing on feature extraction techniques such as sequence features, image visualization and data enhancement. …”
Get full text

Reliable identification method of intrusion personnel in front of underground moving equipment by Bin LIANG, Guang LI, Guangpeng SHAN

“…A reliable registration method of infrared and visible dual-modal images is designed and proposed to solve the problem of reliable identification of intruders in front of the moving equipment in underground coal mines. …”
Get full text

Groundwater well fields in ice-margin valley aquifers – is it easy to protect them, or not? An overview of hydrogeological and legal aspects of determining wellhead protection zone... by Matusiak Magdalena, Górski Józef, Dragon Krzysztof, Kruć-Fijałkowska Roksana

“…This paper discusses principles for delineating wellhead protection zones (WHPZ) of groundwater well fields in ice-margin valleys. A distinctive feature of such well fields is that, apart from the often geogenically contaminated water of ice-margin valleys, they are largely supplied with high-quality water from intertill aquifers of neighbouring uplands. …”
Get full text

Few-shot traffic classification based on autoencoder and deep graph convolutional networks by Shengwei Xu, Jijie Han, Yilong Liu, Haoran Liu, Yijie Bai

“…As graph convolutional networks (GCNs) take into account not only the features of the data itself, but also the relationships among sets of data during classification. …”
Get full text

The diagnostic and predictive potential of lncRNA CASC2 targeting miR-155 in systemic lupus erythematosus patients with nephritis complication by Nada R. Mohamed, Abeer l. Abd El-Fattah, Olfat Shaker, Ghadir A Sayed

“…Abstract Lupus nephritis (LN) is a serious problem that results from systemic lupus erythematosus (SLE) complications. …”
Get full text

Dynamic atrous attention and dual branch context fusion for cross scale Building segmentation in high resolution remote sensing imagery by Yaohui Liu, Shuzhe Zhang, Xinkai Wang, Rui Zhai, Hu Jiang, Lingjia Kong

“…Current Transformer-based approaches demonstrate superior long-range dependency modeling, but still suffer from the problem of progressive information loss during hierarchical feature encoding. …”
Get full text

Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…The core objective of this work is to develop a hybrid model that combines interpretable handcrafted linguistic cues with deep semantic features for more accurate, robust, and accurate fake review detection. …”
Get full text

QUALITY OF PRE-SERVICE TEACHERS’ TRAINING FOR RESEARCH WORK IN THE FIELD OF UNIVERSITY LECTURERS EVALUATION by T. A. Strokova, L. M. Volosnikova

“…The ability to independently organize and carry out scientific and pedagogical search, receive and apply in practice new skills is a distinctive feature of creative teachers. Obligatory presence of research competence among graduates of pedagogical specialties of higher education institutions is declared in federal state educational standards of the higher school.The aim of the article is to direct attention of high school educators to the topical problem of pre-service teachers’ creativity development and the need to strengthen their methodological training.Methodology and research methods. …”
Get full text

Modern View on the Dilated Cardiomyopathy by Yuzych I.

“…The content analysis, method of system and comparative analysis, the bibliosemantic method of studying the actual research in relation to the problem of DCM was used. Results. Clinical feature of DCM – increasing heart failure severity refractory to the treatment. …”
Get full text

Automatic Subject Cataloguing at the German National Library by Christoph Poley, Sandro Uhlmann, Frank Busse, Jan-Helge Jacobs, Maximilian Kähler, Matthias Nagelschmidt, Markus Schumacher

“…We point out the basic feature set and provide a high-level introduction of the productive EMa system. …”
Get full text