Multi-Temporal Snow-Covered Remote Sensing Image Matching via Image Transformation and Multi-Level Feature Extraction by Zhitao Fu, Jian Zhang, Bo-Hui Tang

“…Initially, the Pix2Pix-GAN conversion network is employed to transform remote sensing images with snow cover into images without snow cover, reducing the feature disparity between the images. This conversion facilitates the extraction of more discernible features for matching by transforming the problem from snow-covered to snow-free images. …”
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MSF-ACA: Low-Light Image Enhancement Network Based on Multi-Scale Feature Fusion and Adaptive Contrast Adjustment by Zhesheng Cheng, Yingdan Wu, Fang Tian, Zaiwen Feng, Yan Li

“…Focus is placed on designing the local–global image feature fusion module (LG-IFFB) and the adaptive image contrast enhancement module (AICEB), in which the LG-IFFB adopts the local–global dual-branching structure to extract multi-scale image features, and utilizes the element-by-element multiplication method to fuse the local details with the global illumination distribution to alleviate the problem of serious loss of image details, while the AICEB incorporates linear contrast enhancement and confidence adaptive stopping mechanism, which dynamically adjusts the computational depth according to the confidence of the feature map, balancing the contrast enhancement and computational efficiency. …”
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Feature Augmentation of Classifiers Using Learning Time Series Shapelets Transformation for Night Setback Classification of District Heating Substations by Fan Zhang, Chris Bales, Hasan Fleyeh

“…However, they have not been explored to solve the problem in energy domain. In this study, a feature augmentation approach is proposed based on learning time series shapelets and shapelet transformation, aiming to improve the performance of classifiers for night setback classification. …”
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A Flow Shop Scheduling Method Based on Dual BP Neural Networks with Multi-Layer Topology Feature Parameters by Hui Mu, Zinuo Wang, Jiaqi Chen, Guoqiang Zhang, Shaocun Wang, Fuqiang Zhang

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Analysis of Three-Dimensional Micro-Contact Morphology of Contact Groups Based on Superpixel AMR Morphological Features and Fractal Theory by Jiahang Shen, Defeng Cui, Wenhua Li, Peidong Zhao, Xianchun Meng, Jiyuan Cai, Zheng Han, Haitao Wang

“…At the microscale, the three-dimensional morphological features of contact surfaces have a significant impact on the performance of electrical contacts. …”
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TopoRSNet: A Unique Approach to Maintaining Topological Features for Digital Rock Image Rescaling With Minimal Quality Degradation by Kunning Tang, Yufu Niu, Ying DaWang, Vanessa Robins, Peyman Mostaghimi, Mark Lindsay, Ryan T. Armstrong

“…However, a key geophysical problem in micro‐CT rock characterization is how to efficiently handle and process large numbers of high‐resolution 3D rock images, and how to preserve multiscale features for characterization at coarse resolution. …”
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The clinical significance of the features of the morphological study and immunohistochemical determination of pancytokeratin in the lymph nodes of the central zone in papillary thy... by D.  A. Galushko, H.  G. Asmaryan, N.  V. Melnikova, I.  A. Lazukina

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Evaluating the Effect of Environmental-Physical Factors on the Livability and Quality of Urban Streets (Case Study: Nader and Enghelab Streets in Sari City) by Armin Akhavan, Esmail Salehi, Shirin Toghyani

“…Studied streets’ environmental-physical features were considered as independent variables and their quality and livability were taken as dependent variables. …”
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GREEKS IN ODESSA (END OF THE 18TH - BEGINNING OF THE 20th CENTURY): HISTORIOGRAPHICAL DIMENSION by Anna Hedo, Olga Sarajeva

“…Historiographical work on the problem has been classified by chronological criteria. …”
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Clinical observation of a prurigo nodularis in a HIV-positive patient by E. N. Efanova, Yu. E. Rusak, E. A. Vasileva

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Traffic flow prediction based on spatial-temporal multi factor fusion graph convolutional networks by Ying-Ting Chen, An Liu, Cheng Li, Shuang Li, Xiao Yang

“…The GCN based on the ARMA filter is used to extract the spatial features, and the GRU is utilized to capture temporal features from traffic flow data. …”
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Comparative Analysis of the <i>woman</i> and </>женщина</i> Conceptual Representation in English and Russian Languages in the Localization of the Series “The Handmaid's Tale”... by N. V. Stepanova, V. N. Matveeva

“…Due to the increasing interest in foreign series, the problem of localizing film texts is of particular importance. …”
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The Relationship between Nocturnal Enuresis and Obstructive Sleep Apnea in Children by María Andreu-Codina, Danica Nikolic-Jovanovic, Eduard Esteller, Núria Clusellas, Montserrat Artés, Javier Moyano, Andreu Puigdollers

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MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction by Jinghong Sun, Han Wang, Jia Mi, Jing Wan, Jingyang Gao

“…Results We propose MTAF–DTA, a method for drug–target binding affinity prediction to solve the above problems. The drug representation module extracts three modalities of features from drugs and uses an attention mechanism to update their respective contribution weights. …”
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Evaluation of initial geostress field of underground powerhouse in the complex alteration area of western Sichuan based on back-propagation neural network method by Hong Zheng, Shiqi Cao, Quan Jiang, Shaojun Li, Dingping Xu, Zhiwei Li

“…To solve these problems, a rapid and efficient classification criterion based on exploration-derived geological information was proposed. …”
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TECHNOLOGY FOR EFFICIENT USAGE OF HYDROCARBON-CONTAINING WASTE IN PRODUCTION OF MULTI-COMPONENT SOLID FUEL by B. M. Khroustalev, A. N. Pekhota

“…The paper shows a perspective evaluation, applicability and practical significance of the solution of the problem on efficient usage of hydrocarbon-containing waste while producing the multi-component solid fuel.…”
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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

“…This network incorporates an intra-window graph contrastive constraint to enhance the discriminative ability of the extracted features. Moreover, temporal dependencies across windows are captured by integrating feature embeddings through a self-attention mechanism, and the inter-window recurrent contrastive constraint is devised to extract higher-order spatio-temporal topological features. …”
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New method for transient cold wall heat flux measurements for unlimited exposure times by Fabian Hufgard, Christian Duernhofer, Clemens Mueller, Stefan Loehle

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YOLO-OD: Obstacle Detection for Visually Impaired Navigation Assistance by Wei Wang, Bin Jing, Xiaoru Yu, Yan Sun, Liping Yang, Chunliang Wang

“…To address the challenges of detecting cluttered outdoor environments and handling occlusions, we introduce the Adaptive Bottleneck Block (ABB), which captures varying features across different scenes. To solve the problem of detecting relatively small obstacles in outdoor environments, we propose the Enhanced Feature Attention Head (EFAH). …”
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Footwork recognition and trajectory tracking in track and field based on image processing by Jiaju Zhu, Zhong Zhang, Runnan Liu, Junyi Liu

“…The behaviors were standardized according to the extracted features, and the behaviors before and after standardization were compared. …”
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