Brain CT image classification based on mask RCNN and attention mechanism by Shoulin Yin, Hang Li, Lin Teng, Asif Ali Laghari, Ahmad Almadhor, Michal Gregus, Gabriel Avelino Sampedro

“…Aiming at the classification problem of brain CT images in healthcare. We propose a Mask RCNN with attention mechanism method in this research. …”
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Infrared small target detection algorithm with U-shaped multiscale transformer network by DUAN Peipei, ZHANG Yan, LUO Mingshi, YAN Xiaoying

“…To solve the problem of small targets feature extraction and the susceptibility of targets to being overwhelmed by noise and complex backgrounds, a detection method with U-shaped multiscale transformer network is proposed. …”
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Using Nearest-Neighbor Distributions to Quantify Machine Learning of Materials’ Microstructures by Jeffrey M. Rickman, Katayun Barmak, Matthew J. Patrick, Godfred Adomako Mensah

“…For example, most recently, this architecture has allowed researchers to address the long-standing problem of automated image segmentation of thin-film microstructures in bright-field TEM micrographs. …”
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Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

“…To shed light on the explainability of ML and PGML models, Shapley Additive Explanations (SHAP values) are used to decipher and interpret the model predictions and their dependency on input features. It is found that PGML models, especially physics-guided gradient boosting and random forest regression, improve the prediction accuracy when compared to their purely data-driven ML counterparts by combining the knowledge extracted from experimental data with the mechanics of the problem considered. …”
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River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

“…However, environmental interference often blurs weak tracer textures in STIs, limiting the accuracy of traditional MOT detection algorithms based on shallow features like images’ gray gradient. To solve this problem, we propose a deep learning-based MOT detection model using a dual-channel ResNet (DCResNet). …”
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The Application of a Marine Weather Data Reconstruction Model Based on Deep Super-Resolution in Ship Route Optimization by Shangfu Li, Junfu Yuan, Zhizheng Wu

“…In addition, the attention mechanism is integrated into the model to dynamically adjust the weights of different weather features, which further enhances the attention to key features. …”
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Obtaining testimony via video conference calls from classified persons during criminal proceedings by E. A. Artamonova

“…This article discusses the features of obtaining the testimony of classified witnesses using video conferencing in pre-trial and judicial proceedings in a criminal case.Materials and methods. …”
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FDIA Attack Detection Technique for Smart Grids Based on Graph Reconstruction and Spatio-Temporal Joint Modeling by Gao Yuzhang, Xia Jing

“…A GRU module is formulated to model time series features, with improved perception ability of dynamic attack features. …”
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The phenomenon of hypertext in Internet and Philosophy of postmodernism by Petro Krasnopyorov

“…The article contains the detailed analysis of publications on the issue of hypertext and the history of investigation of this problem. The specific features which allow defining of hypertext as the brand new phenomenon are analyzed in the article. …”
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Digital education as a new pedagogical paradigm by Fatima Anzaurovna Tuguz

“…The purpose of the research is to substantiate the features of digital education as a new pedagogical paradigm and a component of state educational policy. …”
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Psychosomatic regularities of psychotic disorders of women in involution (pathogenesis, clinics, psychodynamic psychotherapy) by М. М. Pustovoyt

“…The problem of psychotic disorders with onset in the age of involution from broader perspective, guided by modern multidimensional paradigm, was never discussed before. …”
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DC-Mamba: A Novel Network for Enhanced Remote Sensing Change Detection in Difficult Cases by Junyi Zhang, Renwen Chen, Fei Liu, Hao Liu, Boyu Zheng, Chenyu Hu

“…Specifically, we introduce the edge-feature enhancement (EFE) block and the dual-flow state-space (DFSS) block, which enhance the details of change edges and local features while maintaining the model’s global feature extraction capability. …”
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On the Physical Basis for the Incomparability of NP and BQP by Vivek Kumar, Maheshwari Prasad Singh, Srikanth Radhakrishna

“…We argue that theories $\Theta^{(\mathcal{NP})}$ or $\Theta^{(\mathcal{PSPACE})}$ effectively feature degrees of nonlinearity. Thus, the linearity of quantum theory prevents complete problems in these complexity classes to be efficiently solvable on a quantum computer. …”
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Discrimination Analysis for Predicting Defect-Prone Software Modules by Ying Ma, Ke Qin, Shunzhi Zhu

“…Based on the analysis, we find that the data sets used in this field have nonlinearly separable and class-imbalanced problems. Unlike the prior works, we try to exploit the kernel method to nonlinearly map the data into a high-dimensional feature space. …”
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Research on Machine Learning-Based Extraction and Classification of Crop Planting Information in Arid Irrigated Areas Using Sentinel-1 and Sentinel-2 Time-Series Data by Lixiran Yu, Hongfei Tao, Qiao Li, Hong Xie, Yan Xu, Aihemaiti Mahemujiang, Youwei Jiang

“…By leveraging long time-series remote sensing images from Sentinel-1 and Sentinel-2, the spectral, index, texture, and polarization features of the ground objects in the study area were extracted. …”
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SOCIAL COMPETENCE FORMATION AMONG TEENAGERS FROM HUMANIST TREND MULTIPLE-AGED GROUPS by Larisa A. Krapivina

“…The paper studies the problems of social development of adolescents in multiple-aged groups (MAG).Methods. …”
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Build and application of automatic classification model of land damage in the middle section of Tianshan Mountains by Zizhao ZHANG, Peizhi LIU, Yang HU, Kai CHEN, Junpeng HUANG, Guangming SHI, Yanyang ZHANG, Runsen LAI, Jianhua ZHU, Xueye WANG, Weinan CHEN

“…In order to solve the problems of low efficiency of mine land damage monitoring and traditional remote sensing interpretation relying on manual experience, this paper proposes an automatic classification model of remote sensing image land damage based on neural network-SENetV2-COT-DeepLabV3, which is based on the DeepLabV3 model and integrates the Contextual Transformer (COT) module and the SENetV2 module, so as to enhance the ability of context feature extraction and channel attention mechanism. …”
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Semantic component of speech development of older preschoolers in the process of speech education by Yuri A. Kochetkov, Oksana S. Ushakova

“…To master the meaning of a word means to master the method of reflecting the essential features of an object (phenomenon) for a given society, fixed in the language. …”
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Value Chain Modeling in Digital Strategic Management by I. M. Stepnov, Yu. A. Kovalchuk

“…The analysis of existing approaches reveals the following unsolved problems: frst, the absence of direct interconnection between the expenses on digitalization and the results received with the use of digital platforms, and second, information is not singled out as a separate expense category in cost accounting, management and control regardless of the considerable percentage increase of an enterprise expenses on cloud computing service and technology. …”
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Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

“…First, the GAM global attention mechanism is embedded in the backbone network of YOLOv8 to improve the sensitivity of the backbone network to the important feature information and reduce the attention to the irrelevant features, and it is determined that the GAM global attention mechanism will be embedded in the backbone network of YOLOv8 after comparing and analyzing the GAM with the attention mechanisms of CBAM, SE, and ECA; second, at the neck layer, the original PAN-FPN network structure is replaced with the BiFPN structure at the neck layer to realize bidirectional cross-scale connectivity and weighted feature fusion. …”
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