Research on Region Noise Reduction and Feature Analysis of Total Focus Method Ultrasound Image Based on Branch Pipe Fillet Weld by Yuqin Wang, Yong Li, Yangguang Bu, Shaohua Dong, Haotian Wei, Jingwei Cheng

“…The full matrix acquisition (FMC) and total focus method (TFM) ultrasonic detection technology are used for detection and defect image feature analysis. Firstly, a multi-mode, fully focused real-time imaging software system was developed to address the specificity of the detection object; secondly, a phased array detection system based on 64 elements was constructed; finally, a region wavelet denoising method based on TFM images was proposed to solve the problem of artifacts caused by poor coupling; and based on the feature extraction method for a minimum rectangle, we analyzed the size, position, angle, and other information regarding defects. …”
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MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba by Jianqiang Zhang, Jing Hou, Qiusheng He, Zhengwei Yuan, Hao Xue

“…We used slice downsampling (SD) to reduce the resolution of the feature map to half the original size, and then fused local features from four different locations. …”
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Investigation of Dependence of Brightness-Structural Features of Images Generated by the Vision System on Navigation Parameters of Unmanned Aerial Vehicles and their Use for Select... by Sotnikov O., Vlasov I., Pavlov Ya., Morin O., Kizian R., Lukyanova V.

“…The solution to the third problem is to assess the efficiency of selecting a reference object on a segmented image using structural-brightness features. …”
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Feature dimensionality reduction for recognition of Persian handwritten letters using a combination of quantum genetic algorithm and neural network by Mohammad Javad Aranian, Moein Sarvaghad-Moghaddam, Monireh Houshmand

“…Curse of dimensionality is one of the biggest challenges in classification problems. High dimensionality of problem increases classification rate and brings about classification error. …”
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High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks by Shivam Tiwari, Deepak Arora, Barkha Bhardwaj

“…The results show how well machine learning methods and EEG feature extraction might diagnose sleep problems. …”
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Ulam Stability, Lyapunov-Type Inequality, and the Eigenvalue Problem for Model of Discrete Fractional-Order Deflection Equations of Vertical Columns and a Rotating String with Two-... by Jehad Alzabut, Raghupathi Dhineshbabu, Abdelkader Moumen, A. George Maria Selvam, Mutti-Ur Rehman

“…In addition, we developed Lyapunov-type inequality and its application to an eigenvalue problem for discrete fractional rotating string equations. …”
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Deep Reinforcement Learning Algorithm Based on Graph Weight Multi-Pointer Network for Solving Multiobjective Traveling Salesman Problem by Xiaoyu Fu, Shenshen Gu

“…Specifically, we encode the problem instance and weight vector by means of the graph weight encoder of the GWMPN model to construct the overall encoded feature with enhanced representation capabilities. …”
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Research on computer multi feature fusion SVM model based on remote sensing image recognition and low energy system by Yangming Wu, Hao Wu, Xin Tang, Jianwei Lv, Rufei Zhang

“…The characteristics of remote sensing images and their application requirements in low energy consumption systems are analyzed, and a multi-feature extraction method combining spectral features, texture features and shape features is proposed. …”
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Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…The method extracts deep, discriminative features via ResNet-50 and feeds them into a lightweight KELM for final classification. …”
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DAKBNet: Multiscale Fusion With Dynamic Assembly Kernels and Bilateral Feature Enhancement for Land Use Classification of Remote Sensing Images by Chenke Yue, Yin Zhang, Junhua Yan, Zhaolong Luo, Yong Liu, Pengyu Guo

“…Due to the complex textures, spatial layouts, and scale variations of images, many methods solve these problems by ignoring the bias between low-level and high-level features caused by multiple semantic information associated with each pixel and the effectiveness of multiscale fusion. …”
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Flooded Infrastructure Change Detection in Deeply Supervised Networks Based on Multi-Attention-Constrained Multi-Scale Feature Fusion by Gang Qin, Shixin Wang, Futao Wang, Suju Li, Zhenqing Wang, Jinfeng Zhu, Ming Liu, Changjun Gu, Qing Zhao

“…Automated change-detection methods can effectively alleviate the above problems. However, the ability of change-detection structures and deep learning models for flooding to characterize flooded buildings and roads is unclear. …”
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Prediction of BTEX concentrations in the air of Southern East Azerbaijan province, Iran using ensemble machine learning and feature analysis by Mansour Baziar, Negar Jafari, Ali Oghazyan, Amir Mohammadi, Ali Abdolahnejad, Ali Behnami

“…Prolonged exposure to these volatile organic compounds (VOCs) has been associated with respiratory problems, cancer, and neurological disorders. Consequently, accurate prediction of their concentrations is vital for safeguarding public health and ensuring environmental safety. …”
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Method of Obtaining a Control Low Using a Synergetic Approach for the Problem of Aircraft Guidance Along a Hyperbola by V. V. Legkostup, V. E. Markevich, S. A. Shaban

“…The guidance problem is solved by choosing a proper hyperbola passing through the target point and letting the aircraft move along this hyperbola to the target. …”
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Procedure of the Synthesis of Control Device by the Method of Analytical Design of the Optimal Regulator for the Problem of Aircraft Guidance Along a Hyperbola by V. V. Legkostup, S. А. Shaban, V. E. Markevich

“…It describes only the line of position (LOP) in the form of a hyperbola. The aiming problem is solved by choosing a hyperbola passing through the target point, bringing the aircraft to a given hyperbola, followed by its movement along this hyperbola. …”
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Features of the Neonatal Period in Perinatally HIV-Exposed Children Receiving Combined Сhemoprophylaxis of mother-to-child Transmission of HIV by A. S. Vanyarkina, A. G. Petrova, L. V. Rychkova, E. V. Moskaleva, E. A. Novikova

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A hybrid attack detection strategy for cybersecurity using moth elephant herding optimisation‐based stacked autoencoder by Abdullah Shawan Alotaibi

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FEATURES OF SPATIAL DIFFERENTIATION OF SNOW COVER IN LOW-MOUNTAIN LANDSCAPES OF THE RUSSIAN ALTAI (CASE STUDY OF THE MAIMA RIVER BASIN) by L. F. Lubenets, D. V. Chernykh, D. K. Pershin

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Discrete Cosine Transform-Based Joint Spectral–Spatial Information Compression and Band-Correlation Calculation for Hyperspectral Feature Extraction by Ziqi Zhao, Changbao Yang, Zhongjun Qiu, Qiong Wu

“…To address this over-smoothing problem, we designed a method for extracting spectral–spatial-band-correlation (SSBC) features. …”
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Blind Infrared Remote-Sensing Image Deblurring Algorithm via Edge Composite-Gradient Feature Prior and Detail Maintenance by Xiaohang Zhao, Mingxuan Li, Ting Nie, Chengshan Han, Liang Huang

“…To address this challenge, traditional methods often rely on sparse regularization priors to mitigate the uncertainty inherent in the problem. In this paper, we propose a novel blind deblurring model based on the MAP framework that leverages Composite-Gradient Feature (CGF) variations in edge regions after image blurring. …”
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An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models by M. Naser Lessani, Zhenlong Li, Jiqiu Deng, Zhiyong Guo

“…Multiple Geographical Feature Label Placement (MGFLP) has been a fundamental problem in geographic information visualization for decades. …”
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