A Simplified Gaussian Approach for Asphalt Crack Detection based on Deep Learning and RGB images by W. Darwish, W. Darwish, W. Ahmed, W. Ahmed

“…This indicates the method's potential applicability for asphalt road crack segmentation and crack width estimation.…”
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A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…For object detection and semantic segmentation, RLion achieves or approaches the performance of the adamw, but overcomes the Lion gradient’s explosive or disappear susceptibility. …”
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Efficient Multi-Stage Self-Supervised Learning for Pathology Image Analysis via Masking by Ming Feng, Weiquan Huang, Liang Hu

“…We evaluated RHP’s performance on four downstream tasks, including patch classification, nucleus segmentation, gland segmentation, and whole slide image classification across eight public datasets. …”
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A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…After achieving precise region segmentation through image processing, the geometric analysis module performs elliptical fitting on the flower head contour to obtain the main axis direction, performs curve fitting on the stem contour, and selects the tangent direction at the intersection point of the flower head. …”
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Numerical Simulation of Ambiguity Resolution in Multiple Information Streams Based on Network Machine Translation by Lei Wang, Qun Ai

“…Word sense disambiguation is a key issue in the field of natural language processing. …”
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Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…Traditional neural network methods suffer from issues such as large model size, long training times, and difficulties in dealing with complex scenes. …”
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A Critical Review of the Book “History, Culture &Civilization of Iran in the Buyid Dynasty” Ali Yahyaei by Ali Yahyaei

“…But, neglecting some of the earlier sources and new research, not addressing some of the important issues such as religious politics and other aspects of foreign associations and some of the problems of segmentation or references in many paragraphs, various criteria in writing, and some inadequate judgments and probably inaccurate damaged the book to some extent. …”
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Opolskie Voivodship “Gazelle” Innovation Potential by Aleksandra Zygmunt, Mirosława Szewczyk

“…The first part contains considerations of issues connected with innovations of regions, their innovation potential and the significance of gazelles in improving the level of a region’s innovations. …”
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Modeling and Simulation of Athlete’s Error Motion Recognition Based on Computer Vision by Luo Dai

“…We analyse and discuss the human error action recognition method based on the idea of template matching to analyse the key issues that affect the overall expression of the error action sequences, and then, we propose a motion energy model based on the direct motion energy decomposition of the video clips of human error actions in the 3 Deron action sequence space through the filter group. …”
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The making of the South African timeshare industry: spatial structure and development challenges by Pandy Wayde R., Rogerson Christian M.

“…This paper contributes to this expanding literature on segmentation and the accommodation sector in South Africa. …”
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Book Review Digital Fever: Taming the Big Business of Disinformation, by Bernhard Poerksen, Palgrave Macmillan, 2022, 219 pages by Florența Toader

“…The book in question scrutinizes significant issues in today’s emotionally lead social media world by discussing a “decisive change in the global organization of information, the switch from a more strongly audience – and context-specific segmentation to integrative confrontation” (p. 6). …”
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The Diagnostic Classification of the Pathological Image Using Computer Vision by Yasunari Matsuzaka, Ryu Yashiro

“…Deep learning architectures like convolutional neural networks (CNNs), have shown superior performance in tasks such as image classification, segmentation, and object detection in pathology. Computer vision has significantly improved the accuracy of disease diagnosis in healthcare. …”
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An Investigation into Cosmetic Market Strategy of China: A Case Study of Sephora by Gao Yifei

“…This paper investigates the Sephora’s consumer behaviors in Chinese market. With the larger segmentation of the market and changing consumer views of cosmetic products, there are factors of change in Consumer behavior. …”
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A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection by Qingqing Li, Tianshu Wu, Tingfa Xu, Jianmei Lei, Jiu Liu

“…Furthermore, to tackle issues with blurred or indistinct crack boundaries, we present a fuzzy information-guided YOLOv11-based model, FIG-YOLO. …”
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Semantic-Injected Bidirectional Multiscale Flow Estimation Network for Infrared and Visible Image Registration by Chunna Tian, Liuwei Xu, Xiangyang Li, Heng Zhou, Xiqun Song

“…SFE utilizes a pretrained segmentation network to obtain spatial location information of foreground objects. …”
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Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…An improved lightweight YOLO11n network was employed for tomato detection and semantic segmentation, which was combined with the C3k2-F, Generalized Intersection over Union (GIoU), and Depthwise Separable Convolution (DSConv) modules. …”
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MLGFENet: Multiscale Local–Global Feature Enhancement Network for High-Resolution Remote Sensing Image Change Detection by Huanhuan Lv, Xianqi Yan, Hui Zhang, Cuiping Shi, Ruiqin Wang

“…Additionally, a composite loss function is introduced, which takes into account both pixel-based segmentation errors and edge-based segmentation errors, enabling accurate localization of changed regions. …”
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Cross-scale correlation analysis of water-induced deterioration on soft rock in coal mine underground reservoir engineering based on deep learning algorithm by Hao Liu, Zenghui Zhao, Qing Ma, Jiaze Du, Xiaoli Liu

“…The cross-scale correlation analysis of water erosion soft lithology deterioration is very important for the safety and stability of coal mine underground reservoir (CMUR) engineering. To address the issues of grain crowding and segmentation difficulties in cross-scale correlation analysis, as well as the limitations of traditional etching methods, this study proposes an image grain segmentation method based on deep learning algorithms, utilizing scanning electron microscopy and image processing techniques. …”
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Intelligent Monitoring of BECS Conveyors via Vision and the IoT for Safety and Separation Efficiency by Shohreh Kia, Benjamin Leiding

“…The YOLOv11n-seg model implemented in this system achieved a segmentation mask precision of 84.8 percent and a recall of 84.5 percent in industry evaluations. …”
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Deep Learning Approaches for Retinal Disease Identification in Fundus Imaging: A Comprehensive Overview by Ismael Abdulkareem Ali, Sozan Abdullah Mahmood

“…We evaluate the performance of chosen researches using different datasets, the most common ones include ocular disease intelligent recognition, Indian DR image dataset, EyePACS, methods to evaluate segmentation and indexing techniques in the field of retinal ophthalmology, methods to evaluate segmentation and indexing techniques in the field of retinal ophthalmology-version 2, DIARETDB, Structured analysis of the retina, high-resolution fundus, digital retinal images for vessel extraction, online retinal fundus image dataset for Gl analysis and research, retinal fundus multi-disease image dataset and Kaggle datasets. …”
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