Detecting global and local hierarchical structures in cell-cell communication using CrossChat by Xinyi Wang, Axel A. Almet, Qing Nie

“…Here, we develop CrossChat, a novel computational framework designed to infer and analyze the hierarchical cell-cell communication structures using two complementary approaches: a global hierarchical structure using a multi-resolution clustering method, and multiple local hierarchical structures using a tree detection method. …”
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Memory Efficient Local Features Descriptor for Identity Document Detection on Mobile and Embedded Devices by Daniil P. Matalov, Elena E. Limonova, Natalya S. Skoryukina, Vladimir V. Arlazarov

“…In this paper, we propose a data-driven approach to training a memory-efficient local feature descriptor for identity documents location and classification on mobile and embedded devices. …”
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Combining Infrared Thermography with Computer Vision Towards Automatic Detection and Localization of Air Leaks by Ângela Semitela, João Silva, André F. Girão, Samuel Verdasca, Rita Futre, Nuno Lau, José P. Santos, António Completo

“…This paper proposes an automated system integrating infrared thermography (IRT) and computer vision for air leak detection and localization in end-of-line (EOL) testing stations. …”
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Keypoint Detection and 3D Localization Method for Ridge-Cultivated Strawberry Harvesting Robots by Shuo Dai, Tao Bai, Yunjie Zhao

“…This study proposes a keypoint detection and 3D localization method for strawberry fruits utilizing a depth camera to address these challenges. …”
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An efficient and lightweight banana detection and localization system based on deep CNNs for agricultural robots by Zhenhui Zheng, Ling Chen, Lijiao Wei, Weihua Huang, Dongjie Du, Guoquan Qin, Zhou Yang, Shuo Wang

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Detection and localization of copy-move tampering along with adversarial attack in a digital image by Anjali Diwan, Anil K. Roy

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Vision-Based Detection, Localization, and Optimized Path Planning for Rebar Intersections in Automated Construction by Chengxiang Li, Weimin Zhang, Fangxing Li, Meijun Guo, Shicheng Fan

“…The accurate detection and precise spatial localization of rebar intersection points are essential for advancing automation in construction tasks, such as robotic rebar tying. …”
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Multi-scale feature fusion keypoint detection network for ship draft line localization by Bo Zhang, Yumengmeng Yin, Kefu Ma, Hong Wang

“…Furthermore, a task head for keypoint prediction is designed to ensure accurate localization of keypoints. By integrating the predicted keypoint data with mark information detected by the character recognition head through a mathematical model, we achieve precise predictions of waterline readings. …”
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DIFFICULTIES OF TUBERCULOSIS DETECTION BY A LOCAL PHISICIAN IN THE PERIOD OF THE EPIDEMIC OF INFLUENZA (CLINICAL CASE) by E. A. Borodulina, A. T. Inkova, E. V. Borodulina, P. M. Zelter, T. N. Matkina

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Magnetically Localized Detection of Amplified DNA Using Biotinylated and Fluorescent Primers and Magnetic Nanoparticles by Etienne Orsini, Franz Bruckert, Marianne Weidenhaupt, Orphée Cugat, Paul Kauffmann, Sarah Delshadi

“…This work highlights the potential of magnetically localized fluorescence detection to detect DNA.…”
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Enhanced Isolation Forest-Based Algorithm for Unsupervised Anomaly Detection in Lidar SLAM Localization by Guoqing Geng, Peining Wang, Liqin Sun, Han Wen

“…To address this issue, we propose an unsupervised real-time localization anomaly detection model based on the isolation forest algorithm. …”
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Anti‐interference lithium‐ion battery intelligent perception for thermal fault detection and localization by Luyu Tian, Chaoyu Dong, Rui Wang, Yunfei Mu, Hongjie Jia

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Novel video anomaly detection method based on global-local self-attention network by Jing YANG, Chengmao WU, Liuping ZHOU

“…In order to improve the accuracy of video anomaly detection, a novel video anomaly detection method based on global-local self-attention network was proposed.Firstly, the video sequence and the corresponding RGB sequence were fused to highlight the motion change of the object.Secondly, the temporal correlation of the video sequence in the local area was captured by the expansion convolution layer, along with the self-attention network was utilized to compute the global temporal dependencies of the video sequence.Meanwhile, by deepening the basic network U-Net and combining the relevant motion and representation constraints, the network model was trained end-to-end to improve the detection accuracy and robustness of the model.Finally, experiments were carried out on the public data sets UCSD Ped2, CUHK Avenue and ShanghaiTech, as well as the test results were visually analyzed.The experimental results show that the detection accuracy AUC of the proposed method reaches 97.4%, 86.8% and 73.2% respectively, which is obviously better than that of the compared methods.…”
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Simulation Study on Detection and Localization of a Moving Target Under Reverberation in Deep Water by Jincong Dun, Shihong Zhou, Yubo Qi, Changpeng Liu

“…The multipath Doppler shifts in the echo are used to estimate the multipath arrival angles, which can be used for target localization. The simulation model and the reverberation suppression detection method can provide theoretical support and a technical reference for the active detection of moving targets in deep water.…”
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Dim and Small Target Detection Based on Local Energy Aggregation Degree of Sequence Images by Fan Xiangsuo, Xu Zhiyong

“…On the basis of previous background modeling and segmentation extraction candidate targets, a dim small target detection algorithm for local energy aggregation degree of sequence images is proposed. …”
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Tensor Adaptive Reconstruction Cascaded With Global and Local Feature Fusion for Hyperspectral Target Detection by Xiaobin Zhao, Kaiqi Liu, Xueying Wang, Song Zhao, Kun Gao, Hongyang Lin, Yantao Zong, Wei Li

“…Most of the traditional methods of target sensing using spectral information treat hyperspectral image as 2-D matrix regardless of the structure information of hyperspectral image, resulting in insufficient separation of target and background and limited detection accuracy. In order to better utilize the hyperspectral intrinsic structural information, this article proposes a hyperspectral target sensing approach based on tensor adaptive reconstruction cascaded with global and local feature fusion (TRGLF). …”
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Detection of Defects in Warp Knitted Fabrics Based on Local Feature Scale Adaptive Comparison by Yongchao Zhang, Weimin Shi, Jindou Zhang

Subjects: “…local similarity…”
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Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure by Han Wang, Yong Hu, Yang Wang, Long Cheng, Cailan Gong, Shuo Huang, Fuqiang Zheng

Subjects: “…infrared small target detection…”
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DAMAGE DETECTION OF COMPOSITE PLATE BASED ON LOCAL DEFECT RESONANCE INTER-MODULATION EFFECT by CHEN WenJian, QU WenZhong, XIAO Li

Subjects: “…Local defect resonance…”
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Hydroponic Chinese flowering cabbage detection and localization algorithm based on improved YOLOv5s. by Zhongjian Xie, Yaya Zhang, Weilin Wu, Yao Xiao, Xinwei Chen, Weiqi Chen, ZhuXuan Wan, Chunhua Lin

“…This study proposes a two stages detection and localization algorithm for hydroponic Chinese flowering cabbage, which includes macro-detection and micro-localization. …”
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