The features of the process of lipid peroxidation and antioxidant protection in women of reproductive age diagnosed with polycystic ovary syndrome (literature review) by O. V. Panarina

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A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling by Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang

“…Firstly, addressing the limitations of density maps in localization performance in existing algorithms, we optimize the generation method of FIDT maps, decoupling the counting and localization tasks. By avoiding the problem of overlap in dense areas, the optimized label maps achieve a good balance between counting accuracy and localization, with MAE and MSE reaching 64.1 and 103.9 in SHHA, and 10.9 and 17.4 in SHHB, respectively.Secondly, to address the scale insensitivity of the encoder and the potential loss of critical features during the encoding process, we propose the Adaptive Feature Fusion Module and the Multi-Scale Global Attention Upsampling Module, constructing the CALNET network. …”
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Fault Location on Radial Distribution Systems Using Wavelets and Artificial Neural Networks with a New Data Processing Feature by NERI Jr., A. L., MOREIRA, F. A., de SOUZA, B. A.

“…Under permanent fault conditions, maintenance crew has the duty to detect the problem, repair the defect and recover the power supply system. …”
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Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery by Houda Labjar, Mohammad Al-Sarem, Mohamed Kissi

“…This paper presents an approach that uses both genetic algorithm (GA) and fuzzy inference system (FIS), for feature selection for descriptor in a quantitative structure activity relationships (QSAR) classification and prediction problem. …”
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Design and evaluation of a new tent-shaped transfer function using the Polar Lights Optimizer algorithm for feature selection by Zaynab Ayham Almishlih, Omar Saber Qasim, Zakariya Yahya Algamal

“… This research aims to develop a new transfer function to transform continuous space to binary space using the Polar Lights Optimizer (PLO) algorithm for the feature selection problem. The PLO algorithm relies on simulating the behaviour of the aurora borealis to achieve a balance in exploring and exploiting binary space. …”
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Obstacle Feature Information-Based Motion Decision-Making Method for Obstacle-Crossing Motions in Lower Limb Exoskeleton Robots by Yuepeng Zhang, Guangzhong Cao, Jun Wu, Bo Gao, Linzhong Xia, Chen Lu, Hui Wang

“…To overcome the problem of insufficient adaptability to the motion environment of lower limb exoskeleton robots, this paper introduces computer vision technology into the motion control of lower limb exoskeleton robots and studies an obstacle-crossing-motion method based on detecting obstacle feature information. …”
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Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation by Jianxia Wang, Shaozu Qiu, Jia Cai, Xiaoming Zhang

“…The heterogeneity and complexity of multi-modal data in high-resolution remote sensing images posed a severe challenge to existing cross-modal networks that aim to fuse complementary information of high-resolution optical and elevation data information (DSM) to achieve accurate semantic segmentation. To solve this problem, a weighted feature fusion network based on large kernel convolution and Transformer (LTFCNet) was proposed. …”
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THE EFFECT OF GENRE-BASED MENTORING ON LINGUISTIC FEATURE QUALITY OF RESEARCH ARTICLE ABSRACTS BY INDONESIAN LECTURERS IN SOCIAL SCIENCES AND HUMANITIES by Dedi Jasrial, Safnil Arsyad, Arono Arono

“… Meta-discourse is one of the linguistic features that have gotten considerable attention in writing a research article abstract recently. …”
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A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI. by Elizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Ciprian M Crainiceanu, Russell T Shinohara

“…We focus on a particular problem from medical research, supervised multiple sclerosis (MS) lesion segmentation in structural magnetic resonance imaging (MRI). …”
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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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MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis by Shengxian Yan, Yuyang Lei, Jing Zhang, Xiao Gao, Xiang Li, Penghui Wang, Hui Cao

“…The proposed architecture enables the model to focus on both local and global information while capturing features at various spatial scales. Additionally, a gated attention mechanism facilitates efficient feature fusion by selectively emphasizing key features rather than relying on simple concatenation and improves the model’s ability to capture critical details at multiple scales. …”
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Enhancing Model Accuracy of UAV-Based Biomass Estimation by Evaluating Effects of Image Resolution and Texture Feature Extraction Strategy by Yaxiao Niu, Xiaoying Song, Liyuan Zhang, Lizhang Xu, Aichen Wang, Qingzhen Zhu

“…However, the application of UAV remote sensing data in practical farms remains challenging because to obtain UAV image features, including spectral index and texture features (TFs), and to improve the accuracy of AGB estimation have not been determined. …”
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Thermo-Hydrodynamic Features of Grooved Heat Sink with Droplet-Shaped Fins Based on Taguchi Optimization and Field Synergy Analysis by Lin Zhong, Jingli Shi, Yifan Li, Zhipeng Wang

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User recommendation method integrating hierarchical graph attention network with multimodal knowledge graph by Xiaofei Han, Xiaofei Han, Xin Dou

“…To address this, the present study combines knowledge graph, GNN, and multimodal information to enhance feature representations of both users and items. The inclusion of knowledge graph not only provides a better understanding of the underlying logic behind user interests and preferences but also aids in addressing the cold-start problem for new users and items. …”
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Features of the organization of the market of cash conversion operations of commercial banks in the territory of a large municipality (on the example of the city of Yekaterinburg) by Elena A. Kachanova, Elena M. Volkova

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DESIGN OF THE NEW DEVICE FOR THE MAGNETIC STRUCTURESCOPY USING FEATURES OF THE RESIDUAL MAGNETIZATION HYSTERESIS DURING ARTICLE PULSED REVERSAL MAGNETIZING by V. F. Matyuk, M. A. Melgui

“…Design principles, structure, purposes and technical characteristics of the pulsed magnetic multiparameter analyzer IMA-M for set forth above problems of the non-destructive testing are given.…”
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Psychological Features of 7-8 Grade Students Interaction with Hypertext: A Theoretical and Experimental Study Using an Eye Tracker by N.A. Borisenko, A.A. Ganicheva, K.V. Mironova, S.V. Shishkova

“…The prevalence of a low level of understanding indicates that schoolchildren have serious problems in semantic reading in general and reading electronic educational hypertexts in particular.…”
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