Research on emulsion concentration detection technology based on interpretable machine learning methods by Jiaxu Kang, Jianwei Li, Meng Wang, Xinwei Guo, Dinghao Liu, Chao Qu, Chengbin Guo

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Detection system of multi-track intelligent inspection robot for urban rail vehicles by WU Hongbo, QIU Weiming, WANG Jing, ZHU Linsen

“…The multi-track intelligent inspection robot detection system of urban rail vehicles realized automatic detection of the bottom and both sides of subway vehicles by adopting intelligent robot technology, SLAM (Simultaneous Localization and Mapping) technology, multi-degree-of-freedom flexible cooperative manipulator control technology, high-definition optical imaging technology and AI (Artistic Intelligence) algorithm, as well as automatic early warning of abnormal situations such as deformation, looseness, missing and foreign bodies of key components of vehicle running gear. …”
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Hyperparameter optimization of apple leaf dataset for the disease recognition based on the YOLOv8 by Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, Yong Bae Seo, Dong-Hyun Ahn, Gun-Do Kim

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Hyperparameter Optimization for Tomato Leaf Disease Recognition Based on YOLOv11m by Yong-Suk Lee, Maheshkumar Prakash Patil, Jeong Gyu Kim, Yong Bae Seo, Dong-Hyun Ahn, Gun-Do Kim

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A Novel Optimization Approach for Revolutionizing Architectural Design in Chinese Cultural Heritage by Xueyong Li, Xiaoqing Yang

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Case of granulomatosis with polyangiitis: optimal possibilities for rapid diagnosis in a multidisciplinary hospital by A. V. Novikova, N. G. Pravdyuk, E. I. Shmidt, A. P. Raksha, M. R. Mazra, A. R. Yunyaev, J. S. Zhulina

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Extender development for optimal cryopreservation of buck sperm to increase reproductive efficiency of goats by Mustafa Bodu, Mustafa Bodu, Mustafa Hitit, Olivia Chika Greenwood, Raheem Davian Murray, Erdogan Memili

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Optimization of Wetland Environmental DNA Metabarcoding Protocols for Great Lakes Region Herpetofauna by Olivia M. Ruppert, Jared J. Homola, Jeannette Kanefsky, Alyssa Swinehart, Kim T. Scribner, John D. Robinson

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An optimization method to improve the performance of unmanned aerial vehicle wireless sensor networks by Hui-Ru Cao, Zhi Yang, Xue-Jun Yue, Yong-Xin Liu

“…Additionally, a simulated annealing algorithm is employed to detect the optimal flight trajectory according the ground wireless sensor network architecture. …”
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Screening of β-caryophyllene-producing bacteria and optimization of the extraction process of β-caryophyllene by MOU Feiyan, HE Yimin, XIA Boyu, DONG Xiaoyuan, CHEN Hui, CHANG Xu, CHEN Maobin, FANG Shangling

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Integrating Cognitive Intelligence and VANET for Effective Traffic Congestion Detection in Smart Urban Mobility by Anita Mohanty, Ambarish G. Mohapatra, Subrat Kumar Mohanty, Tiansheng Yang, Rajkumar Singh Rathore, Ahmed Alkhayyat, Deepak Gupta

“…To tackle this issue effectively, vehicle-to-vehicle (V2V) communication plays a crucial role in fostering cooperation and optimizing route management within transportation networks. …”
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HAF-YOLO: Dynamic Feature Aggregation Network for Object Detection in Remote-Sensing Images by Pengfei Zhang, Jian Liu, Jianqiang Zhang, Yiping Liu, Jiahao Shi

“…Ablation studies validated the effectiveness of each module and their combined optimization. This study presents a novel approach for remote-sensing object detection, with theoretical and practical value.…”
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Using Ultrasonic Acoustics to Detect Cryptic Flying Squirrels: Effects of Season and Habitat Quality by Corinne A. Diggins, L. Michelle Gilley, Christine A. Kelly, W. Mark Ford

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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…It has been widely used in Code Division Multiple Access (CDMA) system. However, in non-cooperative communication scenarios, detecting DSSS signals, estimating DSSS signal parameters, and even intercepting information are all issues that need to be considered. …”
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Design and Optimization of Intelligent High-Altitude Operation Safety System Based on Sensor Fusion by Bohan Liu, Tao Gong, Tianhua Lei, Yuxin Zhu, Yijun Huang, Kai Tang, Qingsong Zhou

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Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks by Bo Yin, Yanbo Chen, Zufan Zhang, Mengjun Wang, Shaohui Sun

“…This paper proposes a mmWave massive MIMO beam selection algorithm based on the beam discovery signal (BDS), where each beam transmitted by the mmWave access point is identified by a specific BDS, and the best beam for the user equipment is then determined by detecting the BDS. In addition, in mmWave heterogeneous networks with densely deployed small cells, strong interference beams are determined through inter-cell cooperation, and orthogonal codes are allocated to the optimal beams and strong interference beams to reduce beam interference from adjacent cells. …”
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Data driven multi-objective optimization of sustainable aviation emergency network for forest fire rescue by Jun Huang, Qiuhong Zhao

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Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning by Bochun Liu, Jinming Ge, Qingyu Mu, Chi Zhang, Xiaoyu Hu, Jiajing Du, Yanyan Wu, Bo Wang, Xiang Li, Jianping Huang, Qiang Fu

“…The optimal algorithm achieves unbiased cloud detection across multiple surfaces by adjusting the output threshold of the mapping function, allowing for cloud detection results with varying confidence levels as required. …”
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Non-invasive detection of pesticide residues in freshly harvested olives using hyperspectral imaging technology by Diego Manuel Martínez Gila, David Bonillo Martínez, Silvia Satorres Martínez, Pablo Cano Marchal, Javier Gámez García

“…This article proposes a methodology based on hyperspectral imaging to detect whether the olives have been sprayed with pesticide products and, if so, when the spraying occurred. …”
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Hybrid-Pursuit Strategies in Multiple Pursuer-Evader Games Using Reinforcement Learning by Yacun Guan, Wang Xu, Guohua Liu

“…The reward mechanism of these hybrid-pursuit strategies is designed to balance cooperative and individual rewards, informed by the states of both agents and obstacles, to optimize overall performance. …”
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