A fast and efficient green apple object detection model based on Foveabox by Weikuan Jia, Zhifen Wang, Zhonghua Zhang, Xinbo Yang, Sujuan Hou, Yuanjie Zheng

“…Fast-FDM uses an optimized form of anchor-free Foveabox to accurately and efficiently detect green apples in harvesting environments. …”
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Application of colloidal gold immunoassay strips for the rapid detection of potato Y virus by Wang Chunqiong, Dan Chen, Zhang Xiaowei, Zhu Dan, Cai Jieyun, Long Jie, Zhang Ke, Meng Hongming, Haowei Sun, Kai Liu, Zeng Yanbo

“…In this study, we constructed the PVY-CP protein expression plasmid pET28a-PVY-CP, transformed it into Escherichia coli BL21 (DE3) receptor cells to induce the expression of the target protein, and then further purified it as an immunogen to screen hybridoma cells that can stably secrete monoclonal antibody against PVY through cell fusion with hybridoma cells, prepared ascites, and purified the monoclonal antibody by using the caprylic acid saturated ammonium sulfate method. The monoclonal antibody was purified using the method of ammonium octanoate saturated sulfate, labeled with colloidal gold, and the colloidal gold immunochromatographic test strip was established by optimizing the reaction conditions, and the detectability, accuracy and specificity of the test strip were evaluated. …”
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Colorimetric Detection of the Tuberculosis Complex Using Cycling Probe Technology and Hybridization in Microplates by S. Warnon, N. Zammatteo, I. Alexandre, C. Hans, J. Remacle

“…Cycling probe technology (CPT) is a simple signal amplification method for the detection of specific target DNA sequences. …”
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YOLOv8 and point cloud fusion for enhanced road pothole detection and quantification by Junkui Zhong, Deyi Kong, Yuliang Wei, Bin Pan

“…Reducing false positives is essential for optimizing detection accuracy in this research domain. …”
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An Accurate Book Spine Detection Network Based on Improved Oriented R-CNN by Haibo Ma, Chaobo Wang, Ang Li, Aide Xu, Dong Han

“…Additionally, the PAFPN (Path Aggregation Feature Pyramid Network) was integrated into the neck structure to enhance multi-scale feature fusion. To further optimize the anchor box design, we introduce an adaptive initial cluster center selection method for K-median clustering. …”
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GDFC-YOLO: An Efficient Perception Detection Model for Precise Wheat Disease Recognition by Jiawei Qian, Chenxu Dai, Zhanlin Ji, Jinyun Liu

“…In this work, the GDFC-YOLO method is proposed to address these limitations and enhance the accuracy of detection. …”
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Specific detection of pigeon parvovirus with TaqMan real-time PCR technology by Cuiteng Chen, Chunhua Zhu, Shuyu Chen, Zhen Chen, Huanru Fu, YuYi Chen, Mengyan Zhang, Wenyu Zhang, Yu Huang, Longfei Cheng, Chunhe Wan

“…The specific primers and probes used were designed on the basis of the NS gene characterization of PiPV downloaded from GenBank. After optimization, the established TaqMan‒PCR assay provides a sensitive, accurate, reliable and cost-effective platform for PiPV detection. …”
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Target Detection and Image Enhancement for Underwater Environment: Research on Improving YOLOv7 by Yang Luo, Wen Feng

“…Aiming at the common low accuracy and efficiency problems in underwater target detection, this paper designs an innovative algorithm based on the YOLOv7 framework. …”
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Small Ship Detection Based on Improved Neural Network Algorithm and SAR Images by Jiaqi Li, Hongyuan Huo, Li Guo, De Zhang, Wei Feng, Yi Lian, Long He

“…The results show that the detection accuracy of this method is higher than other similar target detection algorithms.…”
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FB-YOLOv8s: A fire detection algorithm based on YOLOv8s by Yuhang Liu, Chunjuan Bo, Chong Feng

“…Finally, we adopt the WIoUv3 loss function to optimize the training process and improve detection accuracy. …”
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Design of Network Security Anomaly Detection Model Based on SLNA Cell Structure by Guiling Fan, Shaojun Chen

“…However, the renewal of intelligent devices makes network traffic show blowout growth, which brings more difficulties to network security anomaly detection. As a result, the study suggests a model for detecting anomalies in network security that is based on the stabilized layer normalized attention unit structure. …”
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Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning by Jose Juan de Leon, Cenchuan Zhang, Christos-Spyridon Koulouris, Francesca Medda, Rahul

“…In this work we investigated the use of deep reinforcement learning techniques, specifically Deep Q-Network (DQN) and Proximal Policy Optimization (PPO), for detecting and classifying vulnerabilities in smart contracts. …”
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A Configurable Accelerator for CNN-Based Remote Sensing Object Detection on FPGAs by Yingzhao Shao, Jincheng Shang, Yunsong Li, Yueli Ding, Mingming Zhang, Ke Ren, Yang Liu

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Detection of Edwardsiella tardain catfish (Clarias sp.)by fluorescent antibody technique (FAT) by . Firma, Rahman Rizky Amalia, Utami Sari, Chotimah Chusbul, Abdulgani Amri Siregar

“…Hence, FAT is faster than detection by bacterial culture method, and this technique can be useful to prevent the spread of fish disease. …”
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Research on foreign object intrusion detection in railway tracks based on MSL-YOLO by Hongxia Niu, Dingchao Feng, Tao Hou

“…Combining high precision with low complexity, the proposed method meets the dual requirements of real-time performance and robustness in practical railway detection scenarios.…”
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YOLO-APDM: Improved YOLOv8 for Road Target Detection in Infrared Images by Song Ling, Xianggong Hong, Yongchao Liu

“…Based on this reconstruction, the P2 detection layer is established, which optimizes network structure, enhances multi-scale feature fusion performance, and expands the detection network’s capacity for multi-scale complicated targets. …”
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Rapid detection of soybean nutrient deficiencies with YOLOv8s for precision agriculture advancement by Minsoo Jeong, Sihyun Park, Sook-Min Kwon, KyeongMo Lim, Da-Ryung Jung, Hong-Seok Lee, Hei Jung Kim, Jae-Ho Shin

“…Abstract Early detection of nutrient deficiencies is crucial for optimizing crop yields and ensuring sustainable agricultural practices. …”
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Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance by Firgiawan Faira, Dandy Pramana Hostiadi

“…The novelty of this research lies in the application of a data aggregation technique to address class imbalance, significantly improving machine learning model performance and optimizing training time. These findings contribute to the development of robust cybersecurity systems to effectively detect IoT-related threats.…”
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Rapid and Visual Detection of Monkey B Virus Based on Recombinase Polymerase Amplification by Xinlan Chen, Chenchen Liu, Fangxu Li, Junhui Zhou, Zanheng Huang, Haili Zhang, Hualei Wang, Pei Huang, Zengguo Cao, Sandra Chiu

“…RPA-VF-US6 is a simple, rapid, and specific detection method for BV. The entire reaction can be performed at a constant temperature within 30 min, suggesting the potential of RPA-VF-US6 for POC testing in field laboratories without sophisticated instruments.…”
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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…Firstly, a more efficient backbone network is introduced, and a composite scaling method is employed to optimize the balance among network depth, width, and image resolution. …”
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