Random Forest-Based Prediction of the Optimal Solid Ink Density in Offset Lithography by Laihu Peng, Hao Fan, Yubao Qi, Jianqiang Li

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Detection of network anomaly based on hybrid intelligence techniques by Shahbaa Khaleel, Karam mahdi saleh

“…This research focuses on finding out how to make an Intrusion Detection Systems environment learn the preferences and work practices of a security officer, In this research hybrid intelligence system is designed and developed for network intrusion detection, where the research was presented four methods for network anomaly detection using clustering technology and dependence on artificial intelligence techniques, which include a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to develop and improve the performance of intrusion detection system. …”
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Optimizing an image analysis protocol for ocean particles in focused shadowgraph imaging systems by Huanqing Huang, Alexander B. Bochdansky

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A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm by Zahra Tabrizian, Ehsan Afshari, Gholamreza Ghodrati Amiri, Morteza Hossein Ali Beigy, Seyed Mohammad Pourhoseini Nejad

“…This work shows that BB-BC optimization method is a feasible methodology to detect damage location and severity while introducing numerous advantages compared to referred method.…”
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Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory by Qilong Miao, Xiaofeng Shen, Chenfei Xie, Yong Gao, Lu Chen

“…This method utilizes the minorization-maximization (MM) algorithm framework and semidefinite relaxation (SDR) technique to transform the non-convex optimization problem into an iterative convex optimization problem for resolution. …”
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A Novel Distributed Online Anomaly Detection Method in Resource-Constrained Wireless Sensor Networks by Zhiguo Ding, Haikuan Wang, Minrui Fei, Dajun Du

“…In this paper, a novel distributed online anomaly detection method in resource-constrained WSNs was proposed. …”
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Detection Method for Safety Helmet Wearing on Construction Sites Based on UAV Images and YOLOv8 by Xin Jiao, Cheng Li, Xin Zhang, Jian Fan, Zhenwei Cai, Zhenglong Zhou, Ying Wang

“…To address these issues, this study proposes a helmet detection method based on unmanned aerial vehicles (UAVs) and the YOLOv8 object detection algorithm. …”
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Detection of Salmonella and several common Salmonella serotypes in food by loop-mediated isothermal amplification method by Zhongqiang Chen, Ke Zhang, Huan Yin, Qi Li, Lan Wang, Zhiguo Liu

“…The results show that LAMP is a rapid, sensitive and specific method for Salmonella detection and can be used for the rapid detection of Salmonella in food.…”
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Detection method of small size defects on pipeline weld surface based on improved YOLOv7. by Xiangqian Xu, Wenting Hou, Xing Li

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A visual SLAM loop closure detection method based on lightweight siamese capsule network by Yuhan Zhou, Mingli Sun

“…Abstract Loop closure detection is a key module in visual SLAM. During the robot’s movement, the cumulative error of the robot is reduced by the loop closure detection method, which can provide constraints for the back-end pose optimization, and the SLAM system can build an accurate map. …”
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A Multimodal Data Fusion and Embedding Attention Mechanism-Based Method for Eggplant Disease Detection by Xinyue Wang, Fengyi Yan, Bo Li, Boda Yu, Xingyu Zhou, Xuechun Tang, Tongyue Jia, Chunli Lv

“…A novel eggplant disease detection method based on multimodal data fusion and attention mechanisms is proposed in this study, aimed at improving both the accuracy and robustness of disease detection. …”
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Snow Leopard Infrared Camera Image Detection Method Based on Improved EfficientDet Model by DAI Tianhong, LIU Chao

“…The results of the contrast experiment and the ablation experiment show that the proposed method has better detection speed and accuracy than Faster-RCNN，YOLOv3 and SSD. …”
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Real-Time Data-Driven Method for Bolt Defect Detection and Size Measurement in Industrial Production by Jinlong Yang, Chul-Hee Lee

“…These results demonstrated that the system excelled in real-time performance, accuracy, robustness, and efficiency, effectively addressing the demands of industrial production lines for rapid and precise defect detection and size measurement. In the dynamic and variable context of industrial applications, the system can be optimized and adjusted according to specific production environments and requirements, further enhancing the accuracy of defect detection and size measurement tasks.…”
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Urban Planning with Rational Green Infrastructure Placement Using a Critical Area Detection Method by Herath Mudiyanselage Malhamige Sonali Dinesha Herath, Takeshi Fujino, Mudalige Don Hiranya Jayasanka Senavirathna

“…The findings offer policymakers a powerful tool with which to optimize GI placement, enhancing urban resilience and supporting sustainable development.…”
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Crack Defect Detection Method for Plunge Pool Corridor Based on the Improved U-Net Network by Chunyao Hou, Zhihui Liu, Fan Xia, Xun Zhou, Yuhang Shui, Yonglong Li

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Research on load frequency control system attack detection method based on multi-model fusion by Feng Zheng, Weixun Li, Huifeng Li, Libo Yang, Zengjie Sun

“…Abstract Load frequency control (LFC) in power systems faces increasingly complex cyber-physical attack threats, while existing detection methods have limited capability to identify intelligent attacks. …”
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Malware Detection Using a Random Forest Method Trained on a Balanced Synthetic Dataset by Neo Onica Matsobane, Sello Mokwena

“…The accuracy of malware detection is closely related to the available datasets, which are often small and imbalanced. …”
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Defect Detection Method of Carbon Fiber Unidirectional Band Prepreg Based on Enhanced YOLOv8s by Weipeng Su, Mei Sang, Yutong Liu, Xueming Wang

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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

“…STEGNet’s core innovation is the Efficient Gated Pyramid Feature Network (EG-FPN), which integrates a Gated Feature Fusion module and a Lightweight Attention Mechanism to optimize feature extraction and fusion. In addition, we introduce a geometric constraint method for box edge detection and employ a Perspective-n-Point (PnP)-based 2D-to-3D transformation approach for precise pose estimation. …”
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Earthquake landslide detection method combining post-earthquake coherence increase and polarized vegetation damage by Haoran Liu, Ping Duan, Jia Li, Kang Zhao, Xinrui Yu

“…The method first optimizes coherence data to minimize interference from decoherence factors, then introduces the dual-polarization radar vegetation index (DpRVI) to quantify post-earthquake vegetation damage, and finally uses wavelet transform (WT) to fuse this information with coherence increase data for improved detection accuracy. …”
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