Cross-Modal Fake News Detection Method Based on Multi-Level Fusion Without Evidence by Ping He, Hanxue Zhang, Shufu Cao, Yali Wu

“…Although multimodal feature fusion technology in fake news detection can integrate complementary information from different modal data, the semantic inconsistency of multimodal features will lead to feature fusion difficulties. …”
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SSTMNet: Spectral-Spatio-Temporal and Multiscale Deep Network for EEG-Based Motor Imagery Classification by Albandari Alotaibi, Muhammad Hussain, Hatim Aboalsamh

“…Finally, these features are deeply analyzed by a sequential block to extract high-level features, which are used to detect an MI task. …”
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MEDULLARY CARCINOMA OF THE BREAST: ROENTGENOLOGIC AND ULTRASOUND SEMIOTICS by A. B. Abduraimov, K. A. Lesko, V. Yu. Pletneva, I. A. Blokhin

“…This problem leads to necessity find reliable distinguishing features in mammograpic and ultrasound semiotics. …”
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A New Strategy for the Approximate Solution of Hyperbolic Telegraph Equations in Nonlinear Vibration System by Jiao Zeng, Asma Idrees, Mohammed S. Abdo

“…The most significant feature of this approach is that we do not require any restriction of variables and hypotheses to find the results of nonlinear problems. …”
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Rolling bearing fault identification with acoustic emission signal based on variable-pooling multiscale convolutional neural networks by Yue Zhang, Yang Yu, Zheng Yang, Qiang Liu

“…Abstract This paper propose a new fault identification method based on variable pooling multiscale CNN (VPMCNN), which solves the bearing industrial problem of huge variable features and inherent multiscale characteristics in acoustic emission (AE) signals. …”
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Cross-device fault diagnosis method based on graph convolution and multi-sensor fusion by SUN Yuanshuai, KONG Fanqin, NIE Xiaoyin, XIE Gang

“…This method can model class labels, domain labels, and data feature structures.MethodsFirstly, a convolutional neural network was used to extract features from the input signal. …”
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A sleep staging model based on adversarial domain generalized residual attention network by Pengwei Zhang, Sijia Xiang, Kailei Hu, Jialing He, Jingxia Chen

“…The label classifier uses the deep features learned by the feature extractor to perform sleep staging. …”
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CATransU-Net: Cross-attention TransU-Net for field rice pest detection. by Xuwei Lu, Yunlong Zhang, Congqi Zhang

“…Accurate detection of rice pests in field is a key problem in field pest control. U-Net can effectively extract local image features, and Transformer is good at dealing with long-distance dependencies. …”
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Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification by Lianlei Lin, Hanqing Zhao, Sheng Gao, Junkai Wang, Zongwei Zhang

“…To alleviate this problem, this study replaces the common nonlinear generative network with a specific linear projection transformation, to reduce the number of neurons activated nonlinearly during training and alleviate the learning of contaminated features. …”
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Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…Specifically, a Multilayer Perceptron (MLP) model is used for statistical feature analysis, and Convolutional Neural Network (CNN) models are used for GloVe and CNG features. …”
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A Multi-Modal Attentive Framework That Can Interpret Text (MMAT) by Vijay Kumari, Sarthak Gupta, Yashvardhan Sharma, Lavika Goel

“…The proposed Visual Question Answering model focuses on the image’s most relevant part by using an attention mechanism and passing all the features to the fusion encoder after getting pairwise attention, where the model is inclined toward the OCR-Linguistic features. …”
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Dual-Branch Network with Hybrid Attention for Multimodal Ophthalmic Diagnosis by Xudong Wang, Anyu Cao, Caiye Fan, Zuoping Tan, Yuanyuan Wang

“…Secondly, a frequency domain transform-driven hybrid attention module is innovated, which consists of frequency domain attention, spatial attention, and channel attention, respectively, to solve the problem of inefficiency in network feature extraction. …”
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A Derivative-Free Conjugate Gradient Method and Its Global Convergence for Solving Symmetric Nonlinear Equations by Mohammed Yusuf Waziri, Jamilu Sabi’u

“…This derivative-free feature of the proposed method gives it advantage to solve relatively large-scale problems (500,000 variables) with lower storage requirement compared to some existing methods. …”
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User experience with pregnancy tracker mobile apps: Findings from comment-based qualitative study. by Md Alamgir Hossain, Janet Perkins, Md Tanvir Hasan, Sharon Low Bee Lian, Ribica Chowdhury, Md Tanzirul Alam, Anisuddin Ahmed, Mohammad Sohel Shomik, Shams El Arifeen, Ahmed Ehsanur Rahman, Aniqa Tasnim Hossain, M Shafiqur Rahman

“…<h4>Methods</h4>This study explored the dynamics between users' experiences and multifaceted dimensions of advanced features, high-quality materials and information, strict privacy policies, problem-solving abilities, and the usefulness of app features and contents. …”
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Multimedia Products in Library and Information Service: Domestic and Foreign Experience by S. V. Savkina

“…The description of the features of the implementation of multimedia products and their specific assortment is given. …”
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FD²-YOLO: A Frequency-Domain Dual-Stream Network Based on YOLO for Crack Detection by Junwen Zhu, Jinbao Sheng, Qian Cai

“…Furthermore, the Dynamic Inter-Domain Feature Fusion module (DIFF) is introduced, which uses large-kernel deep convolution and Hadamard to enable the adaptive fusion of features from different domains, thus addressing the problem of difficult feature fusion due to domain differences. …”
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Screening for depression at the primary care level: Evidence for policy decision-making from a facility in Pretoria, South Africa by Bahupileng L. Mashaba, Saiendhra V. Moodley, Neo R.T. Ledibane

“…Conclusion: Depression appears to be a significant problem in PHC settings in South Africa. Screening for depressive features at primary level, targeting those with chronic medical conditions, history of recent stressful life events and other known risk factors may improve detection rates, lead to earlier diagnosis and improved health outcomes.…”
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PEDAGOGICAL VALUE OF THE COMMUNICATION AS A PROFESSIONAL ETHICAL PHENOMENON IN THE EDUCATION OF DENTISTS STUDENTS by R.M. Khopta

“…Nowadays one of the priorities is the focus not only on understanding the etiology and the pathogenesis of common dental diseases, but also on the anatomo-physiological features of the dental chewing system and spiritual and moral values of the patient. …”
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Modeling the Meaning of Individual Words Using Cultural Cartography and Keystroke Dynamics by Tatiana A. Litvinova, Olga V. Dekhnich

“…In some of the recent works, data from language models and methods of vector semantics have been used to solve this problem. However, firstly, the very set of the features by which the meaning of the word is described is not uniform, which does not allow for a comparison of the results, and, secondly, some other types of data related to word production (i.e., behavioral data) are typically not taken into account. …”
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Taking into account developing character of projects in nanoindustry at the stage of their planning

“…Approach to accounting of developing character of the projects, based on allocation of zones of development is offered. Features of the project’s proactive development zone and problem of its size choice, and also the variant of the solution of this problem are described.…”
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