Real time weed identification with enhanced mobilevit model for mobile devices by Xiaoyan Liu, Qingru Sui, Zhihui Chen

“…This step improves the clarity of images, particularly those with blurred edges or significant shadow interference. Following this, we introduce an optimized MobileViT model that incorporates the Efficient Channel Attention (ECA) module into the weed feature extraction network. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Secondly, a novel Global Multi-Scale Attention (GMA) mechanism was proposed to improve the recognition of both local and global crack features. This mechanism groups the input feature maps by channels and applies average and max pooling operations in both the horizontal and vertical directions. …”
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Failure or future? Exploring alternative antibacterials: a comparative analysis of antibiotics and naturally derived biopolymers by Artemijs Sceglovs, Artemijs Sceglovs, Ingus Skadins, Marco Chitto, Juta Kroica, Kristine Salma-Ancane, Kristine Salma-Ancane

“…This review critically examines naturally derived biopolymers with intrinsic (essential feature) antibacterial properties as a sustainable, next-generation alternative to traditional antibiotics. …”
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SmartPod: An Automated Framework for High-Precision Soybean Pod Counting in Field Phenotyping by Fei Liu, Shudong Wang, Shanchen Pang, Zhongzhi Han, Longgang Zhao

“…Accurate soybean pod counting remains a significant challenge in field-based phenotyping due to complex factors such as occlusion, dense distributions, and background interference. We present SmartPod, an advanced deep learning framework that addresses these challenges through three key innovations: (1) a novel vision Transformer architecture for enhanced feature representation, (2) an efficient attention mechanism for the improved detection of overlapping pods, and (3) a semi-supervised learning strategy that maximizes performance with limited annotated data. …”
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MSPB-YOLO: High-Precision Detection Algorithm of Multi-Site Pepper Blight Disease Based on Improved YOLOv8 by Xiaodong Zheng, Zichun Shao, Yile Chen, Hui Zeng, Junming Chen

“…By incorporating the RVB-EMA module into the model, we can significantly reduce interference from shallow noise in high-resolution depth layers. …”
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Multi-label classification for image tamper detection based on Swin-T segmentation network in the spatial domain by Li Li, Kejia Zhang, Jianfeng Lu, Shanqing Zhang

“…Our method introduces three key innovations: (1) A spatial perception module that combines the spatial rich model (SRM) with constrained convolution, enabling focused detection of tampering traces while suppressing interference from image content; (2) A hierarchical feature learning architecture that integrates Swin Transformer with UperNet for effective multi-scale tampering pattern recognition; and (3) A comprehensive optimization strategy including auxiliary supervision, self-supervised learning, and hard example mining, which significantly improves model convergence and detection accuracy. …”
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Robust audio authenticity detection based on One-Class learning by LIANG Ziqi, ZHANG Xulong, WANG Jianzong, XIAO Jing

“…In addition, to address the scarcity of fake voice data, the more versatile and robust self-supervised model Wav2vec2 was introduced for feature extraction, further improving the recognition accuracy of the model when faced with unknown attacks. …”
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Comparative Studies of Descriptor-Based Image Matching Techniques for AAV Applications by Tomasz Pogorzelski, Teresa Zielinska

“…This article presents the results of comparative studies of typical image feature-matching algorithms. Pre-processed images recorded during flights and satellite orthophotomaps are used for these studies. …”
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The application of deep learning technology in smart agriculture: Lightweight apple leaf disease detection model by Luo Man

“…Built on the YOLOv8 architecture, the model incorporates a refined backbone with the EdgeNeXt network, enhancing feature extraction for improved identification precision. …”
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Fault diagnosis model of rolling bearings based on the M-YOLO network by NING Shaohui, ZHANG Shaopeng, WU Yukun, DU Yue, FAN Xiaoning

“…The rolling bearing is taken as the research object, and the fault diagnosis algorithm with two-dimensional signal as the input is studied, and the fault diagnosis model of rolling bearing based on M-YOLO network is constructed for the problems of multi-condition fault diagnosis, small data sample, and long model training time.MethodsFirstly, the mosaic data augmentation method was used to enrich the samples to improve the interference of unbalanced data on the diagnostic results. …”
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Determination of fracture mechanics parameters on a base of local displacement measurements by Yu. G. Matvienko, V.S. Pisarev, S. I. Eleonsky

“…An availability of high-quality interference fringe patterns, which are free from rigid-body motions, serves as a reliable indicator of real stress state around a crack tip. …”
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Design and Implementation of an Intelligent Pest Status Monitoring System for Farmland by Xinyu Yuan, Zeshen He, Caojun Huang

“…For overlapping pest detection, EfficientNetv2-S replaces the YOLOv5s backbone and is combined with an Adaptive Feature Pyramid Network (AFPN), achieving 95.72% detection accuracy, 94.04% mAP, and 127 FPS. …”
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Multi-Scale Construction Site Fire Detection Algorithm with Integrated Attention Mechanism by Haipeng Sun, Tao Yao

“…An iCBAM attention module is designed to suppress background noise interference and enhance the representation capability of the network. …”
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DISCUSSIONS ON THE JUST WORLD ORDER IN TURKEY: COMPARATIVE ANALYSIS OF CONCEPTS AND FOREIGN POLICY PRACTICES OF THEIR IMPLEMENTATION IN THE 2000’s by P. V. Shlykov

“…Polycentric structural organization, an intrinsic feature of the Middle East, has resulted in multiple visions of regional order generated by regional powers and global actors actively involved in the regional affairs. …”
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A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar by Zisheng Li, Ken Chen, Yaoqin Xie

“…Existing contact-based systems might interfere with sleeping, while camera-based systems may raise privacy concerns. …”
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The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…Moreover, background noise interference is reduced by using object detection techniques. …”
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Research on health monitoring of concrete structure based on G-S-G by Jiaqi Wang, Hongbi Kang, Kexin Li

“…On the basis of extracting the crack damage index, in order to verify the reliability of the sensitive feature index, starting from the two dimensions of damage texture feature and data expansion, through reverse research of the damage model, the damage index of accurately locating the crack damage was selected. …”
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Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification. by Xuemei Bai, Yuqing Zhang, Chenjie Zhang, Zhijun Wang

“…We first enhance the feature representation of the target domain samples based on the contrast learning technique to improve their discrimination in the feature space, thereby enhancing the cross-domain migration performance of the model. …”
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Improved Early-Stage Maize Row Detection Using Unmanned Aerial Vehicle Imagery by Lulu Xue, Minfeng Xing, Haitao Lyu

“…Next, an improved ROI-based feature point extraction method was used to eliminate residual noises and extract feature points. …”
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A Novel Integrated Fault Diagnosis Method Based on Digital Twins by Xiangrui Hu, Linglin Liu, Zhengyu Quan, Jinguo Huang, Jing Liu

“…The proposed model leverages a sliding window mechanism to capture both feature and temporal information, enhancing fault pattern recognition. …”
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