Deep learning model applied to real-time delineation of colorectal polyps by Moana Gelu-Simeon, Adel Mamou, Georgette Saint-Georges, Marceline Alexis, Marie Sautereau, Yassine Mamou, Jimmy Simeon

“…Although YOLACT has demonstrated real-time detection and segmentation in non-medical datasets, its application in medical settings remains underexplored. …”
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A lightweight model for automatic pig counting in intensive piggeries using a green inspection robot and image segmentation method by Yizhi Luo, Chen Yang, Enli Lv, Aqing Yang, Fanming Meng, Haowen Luo

“…To address the high computational resource consumption of traditional pig instance segmentation models, which impedes their deployment on resource-constrained edge devices, this paper proposes an improved, lightweight instance segmentation and counting method based on YOLOv8n-seg model. …”
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Automatic deep learning-based pipeline for Mediterranean fish segmentation by Caterina Muntaner-Gonzalez, Antonio Nadal-Martínez, Miguel Martin-Abadal, Yolanda Gonzalez-Cid

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Improving Methane Point Sources Detection Over Heterogeneous Land Surface for Satellite Hyperspectral Imagery by Erchang Sun, Xianhua Wang, Shichao Wu, Hanhan Ye, Hailiang Shi, Yuan An, Chao Li, Yun Jiang

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Garment Recognition and Reconstruction Using Object Simultaneous Localization and Mapping by Yilin Zhang, Koichi Hashimoto

“…The implementation was tested using an Intel Realsense^® camera, demonstrating the feasibility of simultaneous garment and plane detection and reconstruction. This study shows improved performance in garment recognition with the 2D instance segmentation models and an enhanced understanding of garment shapes and structures with the DeepSDF model. …”
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Improved YOLOv8-Based Segmentation Method for Strawberry Leaf and Powdery Mildew Lesions in Natural Backgrounds by Mingzhou Chen, Wei Zou, Xiangjie Niu, Pengfei Fan, Haowei Liu, Cuiling Li, Changyuan Zhai

“…Focusing on strawberry powdery mildew, we propose an enhanced YOLOv8-based segmentation method for leaf and lesion detection. Four instance segmentation models (SOLOv2, YOLACT, YOLOv7-seg, and YOLOv8-seg) were compared, using YOLOv8-seg as the baseline. …”
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A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw by Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Zhining Gu, Yili Yang, Brendan M. Rogers, Anna Liljedahl

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Improvement of YOLO v8 Segmentation Algorithm and Its Study in the Identification of Hazards in Plateau Pika by Yaosheng Han, Yunpeng Jin, Chunmei Li, Xiangjie Huang

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Deep learning‐based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images by Jun Hyeong Park, June Hyuck Lim, Seonhwa Kim, Chul‐Ho Kim, Jeong‐Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park, Myung‐won Lee, Sup Kim, Il‐Seok Park, Seung Hoon Han, Eun Shin, Jin Roh, Jaesung Heo

“…Abstract EGFR mutations are a major prognostic factor in lung adenocarcinoma. However, current detection methods require sufficient samples and are costly. …”
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Unsupervised Detection of Misinformation in Financial Statements by AKSHADA SHINDE

“…Auditors or forensic accountants use complex investigative methods to detect instances of misinformation in FS. The effort intensive and subjective nature of these methods limits their capacity to effectively identify misinformation. …”
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Precise Performance Analysis of Dual-Hop Mixed RF/Unified-FSO DF Relaying With Heterodyne Detection and Two IM-DD Channel Models by Omer Mahmoud Salih Al-Ebraheemy, Anas M. Salhab, Anas Chaaban, Salam A. Zummo, Mohamed-Slim Alouini

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Research on the Visual SLAM Algorithm for Unmanned Surface Vehicles in Nearshore Dynamic Scenarios by Yanran Zhang, Lan Zhang, Qiang Yu, Bowen Xing

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Intrusion detection method based on machine learning by TIAN Xin-guang1, GAO Li-zhi2, ZHANG Er-yang1

“…A new intrusion detection method was presented based on machine learning for intrusion detection systems using shell commands as audit data.In the method,multiple dictionaries of shell command sequences of different lengths were constructed to represent the normal behavior profile of a network user.During the detection stage,the similarities between the command sequences generated by the monitored user and the sequence dictionaries were calculated.These similarities were then smoothed with sliding windows,and the smoothed similarities were used to determine whether the monitored user’s behaviors were normal or anomalous.The results of the experience show the method can achieve higher detection accuracy and shorter detection time than the instance-based method presented by Lane T.…”
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A Survey of Camouflaged Object Detection and Beyond by Fengyang Xiao, Sujie Hu, Yuqi Shen, Chengyu Fang, Jinfa Huang, Longxiang Tang, Ziyun Yang, Xiu Li, Chunming He

“…Beyond object-level detection, we also summarize extended methods for instance-level tasks, including camouflaged instance segmentation, counting, and ranking. …”
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Unsupervised detection of semantic correlations in big data by Santiago Acevedo, Alex Rodriguez, Alessandro Laio

“…We present a method to detect these correlations in high-dimensional data represented as binary numbers. …”
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Few-Shot Symbol Detection in Engineering Drawings by Laura Jamieson, Eyad Elyan, Carlos Francisco Moreno-García

“…The results suggest that our method not only significantly improves symbol detection performance compared to other state-of-the-art methods but also decreases the necessary number of training instances.…”
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Scattering meets absorption in dark matter detection by Pieter Braat, Anh Vu Phan, Marieke Postma, Susanne Westhoff

“…In this way, we identify viable targets for dark matter with light mediators at upcoming direct detection experiments. Distinguishing between the various signals, for instance by measuring energy distributions, will be crucial to reveal the underlying model in case of a discovery.…”
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Detecting anomalies in graph networks on digital markets. by Agata Skorupka

“…The study examines different graph-based methods of detecting anomalous activities on digital markets, proposing the most efficient way to increase market actors' protection and reduce information asymmetry. …”
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YOLO-SegNet: A Method for Individual Street Tree Segmentation Based on the Improved YOLOv8 and the SegFormer Network by Tingting Yang, Suyin Zhou, Aijun Xu, Junhua Ye, Jianxin Yin

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PolyBuild: An End-to-End Method for Polygonal Building Contour Extraction From High-Resolution Remote Sensing Images by Yaoteng Zhang, Julin Zhang, Guangshuai Wang, Jiwei Deng, Hui Sheng, Yasir Muhammad, Shiqing Wei

“…The ICGM is designed to generate an initial building contour by utilizing concatenated sub-region center features for each building instance. It performs simultaneous object detection and initial contour extraction by generating bounding boxes and using the center features of four sub-regions to represent each building. …”
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