Revolutionizing climbing perch disease management: AI-Driven solutions for sustainable aquaculture by Kosit Sriputhorn, Rapeepan Pitakaso, Surasak Matitopanum, Peerawat Luesak, Surajet Khonjun, Rungwasun Kraiklang, Chakat Chueadee, Sarayut Gonwirat

“…This system uniquely combines non-population based differential evolution algorithms for optimizing the mix of image augmentation techniques, with population-based algorithms for integrating image segmentation and convolutional neural network (CNN) architectures. …”
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Mowgli’s Poetic Schooling: On Lyrical Parts of Kipling’s Jungle Books by Elena V. Haltrin-Khalturina

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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

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Wave-Net: A Marine Raft Aquaculture Area Extraction Framework Based on Feature Aggregation and Feature Dispersion for Synthetic Aperture Radar Images by Chengyi Wang, Lei Wang, Ningyang Li

“…The experimental results revealed that the proposed Wave-Net model solved the issue of blurred boundaries and achieved better segmentation accuracy with limited samples.…”
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A SAM-Based Detection Method for the Distance Between Air-Craft Fire Detection Lines by Mo Chen, Sheng Cheng, Yan Liu, Qifan Yin, Hongfu Zuo

“…Currently, this task is mainly performed manually, which is inefficient and prone to errors and omissions. To address this issue, we propose a method for detecting the distance between aircraft fire detection lines based on the Segment Anything Model (SAM). …”
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Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm by Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu

“…Then, we combined the Dice Loss and Focal Loss functions to construct an enhanced HRNet based semantic segmentation model for pixel-level segmentation of both apple leaf and diseased regions. …”
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Mixed multi-branch feature fusion model for efficient automatic building extraction from high-resolution remote sensing images by Yaohui Liu, Shuzhe Zhang, Xinkai Wang, Taoyi Chen, Hu Jiang, Fei Su

“…In high-resolution remote sensing (HRS) images, the main body of buildings and their surrounding environments exhibit strong coupling and variability, which can easily lead to the loss and underutilization of multi-scale feature information. To address this issue, we proposed a compound multi-branch fusion model, termed MCMFformer, for building segmentation in HRS images. …”
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RSNC-YOLO: A Deep-Learning-Based Method for Automatic Fine-Grained Tuna Recognition in Complex Environments by Wenjie Xu, Hui Fang, Shengchi Yu, Shenglong Yang, Haodong Yang, Yujia Xie, Yang Dai

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Quantification of Tobacco Leaf Appearance Quality Index Based on Computer Vision by Tiannan Wu, Yunwei Zhang, Zewu Gong, Dongfeng Lu

“…Second, a mesh segmentation technique for the color intensity is developed. …”
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Current development trends and the choice of Internet marketing tools by E. A. Sinelnikova

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Virtualization of Network infrastructure in Educational Institutions by V. P. Kochin, Yu. I. Vorotnitsky, A. V. Zherelo

“…The article discusses current issues of virtualization of the network infrastructure of educational institutions. …”
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Postkeratoplasty Astigmatism by Anita Raghavan, Soly Naveen

“…Rigid gas-permeable contact lenses are an effective alternative to spectacles but limited by fitting and handling issues. Suture adjustment and suture removal are the initial options for reducing postoperative astigmatism. …”
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Using Landscape Metrics of Pixel Scale Land Cover Extracted from High Spatial Resolution Images to Classify Block-Level Urban Land Use by Haofeng Luo, Xiaomei Yang, Zhihua Wang, Yueming Liu, Huifang Zhang, Ku Gao, Qingyang Zhang

“…Well-known landscape metrics could play an important connecting role, but these also encounter the scale selection issue; i.e., the optimal spatial unit size is an image pixel or a segmented image object. …”
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Advances and Challenges in Deep Learning for Automated Welding Defect Detection: A Technical Survey by Abdulrahim Mohammed, Muhammad Hussain

“…This paper presents a comprehensive review of state-of-the-art Deep Learning (DL) models tailored for welding defect detection, segmentation, and classification, emphasizing technical advancements and persistent challenges. …”
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Exploring Nutrient Deficiencies in Lettuce Crops: Utilizing Advanced Multidimensional Image Analysis for Precision Diagnosis by Jilong Xie, Shanshan Lv, Xihai Zhang, Weixian Song, Xinyi Liu, Yinghui Lu

“…Additionally, a multi-dimensional image analysis algorithm combining threshold segmentation, improved Canny edge detection, and gradient-guided adaptive threshold segmentation enabled precise segmentation of healthy and nutrient-deficient tissues. …”
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Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

“…The paper employs consistency regularization and pseudo-label generation to overcome these issues and presents a novel hybrid semi-supervised semantic segmentation method. …”
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New Methods for Waterfowl and Habitat Survey Using AI and Drone Imagery by Zhenduo Zhai, Zhiguang Liu, Yang Zhang, Andrew Zhao, Yi Shang

“…Existing methods for waterfowl monitoring face critical challenges such as low accuracy in identifying overlapping image regions and limited segmentation accuracy in complex habitats. To address these issues, this paper presents an end-to-end system and several new methods for efficiently and accurately identifying waterfowl populations in their natural habitats using AI and drone imagery. …”
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Obstacle detection in underground mines using multiple LiDARs based on grid method by REN Mingyang, YANG Huilong, LI Jian, SUN Tao, BAI Shuangjun, WANG Lianfa, HE Guangwen

“…To address the issues of false and missed detections in obstacle detection within underground mines caused by difficulties in filtering elevated structural point clouds and insufficient ground segmentation accuracy, a multi-LiDAR obstacle detection method based on grid method for underground mines was proposed. …”
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Deep Learning Extraction of Tidal Creeks in the Yellow River Delta Using GF-2 Imagery by Bojie Chen, Qianran Zhang, Na Yang, Xiukun Wang, Xiaobo Zhang, Yilan Chen, Shengli Wang

“…Comparisons with several semantic segmentation models on the mud marsh tidal creek dataset show that ODU-Net significantly enhances tidal creek segmentation, resolves class imbalance issues, and delivers superior extraction accuracy and stability.…”
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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

“…First, the 2G-R-B feature factor and an optimal adaptive threshold segmentation method are used to segment crops and background. …”
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