Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…In order to solve these problems, we conducted in-depth research on the terrain feature patterns of DEMs and proposed a DEM super-resolution reconstruction network that is terrain feature-aware, named D-ResDCN. …”
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A problem with nonlocal integral 1st kind conditions for 4th order partial differential equation by Ludmila S. Pulkina

“…A distinguishing feature of this problem is the presence of integral conditions of the 1st kind. …”
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Reasoning about Non-Actual Possibilities. Problems with the Douven-Putnam Model-Theoretic Argument against Metaphysical Realism by Manuel Pérez Otero

“…The view entails that when no feature selects just one of all the possible interpretations of language (the relations of reference between the terms and the world) the existence of an interpretation suffices to make true a (consistent) theory. …”
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Monotone-Iterative Method for Solving Antiperiodic Nonlinear Boundary Value Problems for Generalized Delay Difference Equations with Maxima by Angel Golev, Snezhana Hristova, Svetoslav Nenov

“…In this paper, an approximate method, namely, the monotone iterative technique, is applied to solve the problem. An important feature of the given algorithm is that each successive approximation of the unknown solution is equal to the unique solution of an appropriately constructed initial value problem for a linear difference equation with “maxima,” and an algorithm for its explicit solving is given. …”
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A Clustering-Based Dimensionality Reduction Method Guided by POD Structures and Its Application to Convective Flow Problems by Qingyang Yuan, Bo Zhang

“…Proper orthogonal decomposition (POD) is a widely used linear dimensionality reduction technique, but it often fails to capture critical features in complex nonlinear flows. In contrast, clustering methods are effective for nonlinear feature extraction, yet their application in dimensionality reduction methods is hindered by unstable cluster initialization and inefficient mode sorting. …”
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A multitasking ant system for multi-depot pick-up and delivery location routing problem with time window by Haoyuan Lv, Ruochen Liu, Jianxia Li

“…In order to improve its efficiency, multi-depot pick-up-and-delivery location routing problem with time windows (MDPDLRPTW) is proposed in this paper. …”
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Fabric Selection Problem Based on Sine Hyperbolic Fractional Orthotriple Linear Diophantine Fuzzy Dombi Aggregation Operators by Muhammad Qiyas, Muhammad Naeem, Neelam Khan, Faisal Khan

“…The FOLDFS has a notable feature to trade with the dubious information with a broader membership representation space than the Spherical fuzzy set. …”
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Prediction of copper contamination in soil across EU using spectroscopy and machine learning: Handling class imbalance problem by Chongchong Qi, Nana Zhou, Tao Hu, Mengting Wu, Qiusong Chen, Han Wang, Kejing Zhang, Zhang Lin

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Features of Fixing the Folklore of Peoples of Yakutia (1930-1970): the Method of Selecting Informants according to G. U. Ergis by Olga I. Charina, Anna S. Larionova, Valentina A. Petrova

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A method for classifying objects with a heterogeneous set of information features based on the generation of graph-chromatic maps by A.S. Bozhday, L.N. Gorshenin

“…A classification task is often complicated by the need to classify objects with a heterogeneous set of features. One of the main ways to solve such problems is to reduce heterogeneous features of an object to one type. …”

IMPACT OF THE GRASSLAND MANAGEMENT PLANNING APPLICATION ON SOME FEATURES OF THE GRASSLAND VEGETATION FROM WESTERN ROMANIA – CASE STUDY by Carmen Claudia DURĂU, Veronica SĂRĂȚEANU, Otilia COTUNA, Mirela PARASCHIVU

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The Effect of Best First and Spreadsubsample on Selection of a Feature Wrapper With Naïve Bayes Classifier for The Classification of the Ratio of Inpatients by M Rizky Wijaya, Ristu Saptono, Afrizal Doewes

“…On previous research about feature selection with greedy stepwise forward fail to predict classification ratio inpatient of patient with the result of recall and precision 0 on data training 60%, 75%, 80%, and 90% and there is suggestion to handle unbalanced class data problem by comparison of data readmitted 6293 and the otherwise 64141. …”
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A novel motion key frame extraction and video stream classification based on reinforcement learning and feature fusion by Hongbo Cui, Tao Feng, Jinhui Zheng

“…In order to solve the problem of missing detection and false detection caused by the inaccuracy of motion feature extraction in the existing video key frame extraction algorithms, a reinforcement learning and feature fusion for key frame extraction algorithm and video stream classification is proposed. …”
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An effective Key Frame Extraction technique based on Feature Fusion and Fuzzy-C means clustering with Artificial Hummingbird by Sumandeep Kaur, Lakhwinder Kaur, Madan Lal

“…This study proposes a key frame extraction method from a video that (i) first removes insignificant frames by pre-processing, (ii) second, four visual and structural feature differences among the consecutive frames are extracted and aggregated to identify informative frames, (iii) third, to cluster the obtained frames, a hybrid FCM-AHA method is proposed by combining Fuzzy C-means(FCM) with artificial hummingbird optimization algorithm (AHA) to circumvent the local minima trapping problem of FCM, and finally, from each cluster, the two frames having greatest Euclidean distance from all the other frames within a cluster is selected as key frames to remove redundant frames. …”
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GCML: Geometric Correlation Encoding Network With Multi-Scale Local Feature Extraction for Accurate Point Cloud Registration by Jinlei Zhuang, Ziteng Wang, Weiqiang Ma

“…This method substantially captures rich geometric structure information inherent in point clouds, thereby improving registration accuracy. For the second problem, GCML proposes a multi-scale local feature perception module (MLFP) that integrates multi-scale local features of point clouds during the feature enhancement stage. …”
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Research on Feature Extraction of Performance Degradation for Flexible Material R2R Processing Roller Based on PCA by Yaohua Deng, Huiqiao Zhou, Kexing Yao, Zhiqi Huang, Chengwang Guo

“…Performance feature extraction is the primary problem in equipment performance degradation assessment. …”
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Multiclass Crop Interpretation via a Lightweight Attentive Feature Fusion Network Using Vehicle-View Images by Wenyue Li, Bingfang Wu, Runyu Fan, Fuyou Tian, Miao Zhang, Zhaoying Zhou, Jun Hu, Ruyi Feng, Fangming Wu

“…An edge context feature enhancement module (ECFEM) is proposed to enhance edge and context feature extraction to address the problem of ambiguous crop edges. …”
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A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation by Yanan Qin, Tao Huang, Guanzhen Tang

“…Aiming at the problem that traditional human motion pose estimation methods cannot accurately capture and estimate the movement changes of children dancers, a hierarchical dance pose estimation method for children based on sequence multiscale feature fusion representation is proposed. …”
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A Rule Based Feature Selection Approach for Target Classification in Wireless Sensor Networks with Sensitive Data Applications by Zhiyong Hao, Bin Liu

“…This paper proposes a rule based feature selection approach rather than all-features approach that aims at increasing the energy efficiency of the system without losing much classification accuracy. …”
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Yolov4 High-Speed Train Wheelset Tread Defect Detection System Based on Multiscale Feature Fusion by Changfan Zhang, Xinliang Hu, Jing He, Na Hou

“…This study aims to solve this problem by proposing a Yolov4-based multiscale feature fusion detection system for high-speed train wheel tread defects. …”
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