Detection and Prediction of Internal Damage in the Ancient Timber Structure Based on Optimal Combined Model by Ziyi Wang, Donghui Ma, Wei Qian, Wei Wang, Xiaodong Guo, Qingfeng Xu, Junhong Huan, Zhongwei Gao

“…In this empirical study, we compared the detection precision of these two detection methods. …”
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Collusion node detection method based on fuzzy evaluation density clustering in Internet of vehicles by Haibo ZHANG, Dabin WANG, Ruyan WANG, Dongyu WANG

“…In order to solve the security problems caused by collusion of malicious vehicles in the open Internet of vehicles environment, a collusion node detection method based on fuzzy evaluation density clustering was designed.The method realized vehicle reputation update through subjective recommendation trust, objective data trust and historical reputation.Two rounds malicious node detection method was designed to detect malicious vehicles, in the first round, fuzzy comprehensive evaluation was used to screen out a single malicious vehicle node, and in the second round, the conspiracy malicious vehicle nodes were searched by the improved density clustering method according to a single malicious vehicle node to ensure the sustainable development of network environment security.Experimental results show that the proposed method has a high recognition rate for malicious vehicles, and when the proportion of malicious vehicles reaches 30%, the detection accuracy can still remain above 90%.At the same time, under the proportion of different malicious vehicles, the detection recall rate and detection F value still remain higher value, indicating that the proposed method has a high stability.For the change of total vehicle nodes, the performance evaluation index shows a small fluctuation and remain within the range from 80% to 100%.…”
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Application of serological methods combined with flow cytometry in the detection of immune hemolytic transfusion reaction by LIU Lei, ZENG Qunjuan, GONG Guoqin, XIANG Dong, WANG Zhongying

“…[Objective] To explore the effects of different methods on antibody detection through investigating the causes of cross-matching incompatible in a patient with gastric malignant tumor, and to establish flow cytometry protocol for confirming hemolytic transfusion reaction (HTR). …”
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Glaucoma detection and staging from visual field images using machine learning techniques. by Nahida Akter, Jack Gordon, Sherry Li, Mikki Poon, Stuart Perry, John Fletcher, Thomas Chan, Andrew White, Maitreyee Roy

“…This automated DL model will assist clinicians in precision glaucoma detection and progression management during extensive glaucoma screening.…”
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Lie Detection Technology of Bimodal Feature Fusion Based on Domain Adversarial Neural Networks by Yan Zhou, Feng Bu

“…In the domain of lie detection, a common challenge arises from the dissimilar distributions of training and testing datasets. …”
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An EfficientNetv2-based method for coal conveyor belt foreign object detection by Tao Hu, Deyu Zhuang, Jinbo Qiu

Subjects: “…foreign object detection…”
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Block-chain abnormal transaction detection method based on adaptive multi-feature fusion by Huijuan ZHU, Jinfu CHEN, Zhiyuan LI, Shangnan YIN

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Mind Mapping Training’s Effects on Divergent Thinking Skills: Detection Based on EEG Data by Ting Liu, Zhisheng Wang, Hao Yu

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Three-Dimensional Diffusion Model in Sports Dance Video Human Skeleton Detection and Extraction by Zhi Li

“…The research in this paper mainly includes as follows: for the principle of action recognition based on the 3D diffusion model convolutional neural network, the whole detection process is carried out from fine to coarse using a bottom-up approach; for the human skeleton detection accuracy, a multibranch multistage cascaded CNN structure is proposed, and this network structure enables the model to learn the relationship between the joints of the human body from the original image and effectively predict the occluded parts, allowing simultaneous prediction of skeleton point positions and skeleton point association information on the one hand, and refinement of the detection results in an iterative manner on the other. …”
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Func-Bagging: An Ensemble Learning Strategy for Improving the Performance of Heterogeneous Anomaly Detection Models by Ruinan Qiu, Yongfeng Yin, Qingran Su, Tianyi Guan

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DDL R-CNN: Dynamic Direction Learning R-CNN for Rotated Object Detection by Weixian Su, Donglin Jing

Subjects: “…remote sensing detection…”
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DADNet: text detection of arbitrary shapes from drone perspective based on boundary adaptation by Jun Liu, Jianxun Zhang, Ting Tang, Shengyuan Wu

Subjects: “…Arbitrary shape text detection…”
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Large Convolution Kernel Network With Edge Self-Attention for Oriented SAR Ship Detection by Yan Feng, Yupeng Zhang, Xiangqing Zhang, Yuning Wang, Shaohui Mei

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A review of hyperspectral image analysis techniques for plant disease detection and identif ication by A. F. Cheshkova

“…Plant diseases cause signif icant economic losses in agriculture around the world. Early detection, quantif ication and identif ication of plant diseases are crucial for targeted application of plant protection measures in crop production. …”
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Research on Co-Interactive Model Based on Knowledge Graph for Intent Detection and Slot Filling by Wenwen Zhang, Yanfang Gao, Zifan Xu, Lin Wang, Shengxu Ji, Xiaohui Zhang, Guanyu Yuan

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Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique by Weixian Tan, Pingping Huang, Zengshu Huang, Yaolong Qi, Wenqin Wang

“…Three-dimensional (3D) microwave imaging has been proven to be well suited for concealed weapon detection application. For the 3D image reconstruction under two-dimensional (2D) planar aperture condition, most of current imaging algorithms focus on decomposing the 3D free space Green function by exploiting the stationary phase and, consequently, the accuracy of the final imagery is obtained at a sacrifice of computational complexity due to the need of interpolation. …”
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A Model System for Concurrent Detection of Antigen and Antibody Based on Immunological Fluorescent Method by Yuan-Cheng Cao

“…First, goat anti-human IgG was used to capture human IgG (model antigen); goat anti-human IgG (Cy3 or FITC) was used to detect the model antigen; a saturating level of model antigen was then added followed by unlabelled goat anti-human IgG (model antibody); finally, Cy3 labelled rabbit anti-goat IgG was used to detect the model antibody. …”
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Cross-stream attention enhanced central difference convolutional network for CG image detection by HUANG Jinkun, HUANG Yuanhang, HUANG Wenmin, LUO Weiqi

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Automated graph-based detection of quantum control schemes: Application to molecular laser cooling by Anna Dawid, Niccoló Bigagli, Daniel W. Savin, Sebastian Will

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A Microfluidic Biosensor for Quantitative Detection of <i>Salmonella</i> in Traditional Chinese Medicine by Yutong Wu, Yang Liu, Jinchen Ma, Shanxi Zhu, Xiaojun Zhao, Huawei Mou, Xuanqi Ke, Zhisheng Wu, Yifei Wang, Sheng Lin, Wuzhen Qi

“…Microbial contamination is an important factor threatening the safety of Chinese medicine preparations, and microfluidic detection methods have demonstrated excellent advantages in the application of rapid bacterial detection. …”
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