Night construction site detection based on ghost-YOLOX by Han Guijin, Wang Ruixuan, Xu WuYan, Li Jun

“…Existing target detection algorithms, when applied to night-time site monitoring, are limited by site hardware conditions, lighting conditions, fuzzy and small targets to be detected, etc., which makes it difficult to achieve good detection results. …”
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BDK-YOLOv8: An Enhanced Algorithm for UAV Infrared Image Object Detection by Nan Xiao, Xianggong Hong, Zixuan Zheng

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Improved printed circuit board defect detection scheme by Lufeng Bai, Wen Hao Xu

“…In addition, we draw on the advanced BiFPN structure, which enables the bidirectional flow of feature information between multiple layers and greatly improves the capture and integration of small target features. Compared to the original YOLOv8 algorithm, this algorithm improves the average accuracy on small targets by $$5.5\%$$ for mAP50.…”
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Design of and Experiment with a Dual-Arm Apple Harvesting Robot System by Wenlei Huang, Zhonghua Miao, Tao Wu, Zhengwei Guo, Wenkai Han, Tao Li

“…Finally, to improve collaboration efficiency, a multi-arm task planning method based on a genetic algorithm is used to optimize the target harvesting sequence for each arm. Field experiments were conducted in an orchard to evaluate the overall performance of the robot system. …”
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Monitoring Dairy Cow Rumination Behavior Based on Upper and Lower Jaw Tracking by Ning Wang, Xincheng Li, Shuqi Shang, Yuliang Yun, Zeyang Liu, Deyang Lyu

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Enhanced YOLO and Scanning Portal System for Vehicle Component Detection by Feng Ye, Mingzhe Yuan, Chen Luo, Shuo Li, Duotao Pan, Wenhong Wang, Feidao Cao, Diwen Chen

“…Furthermore, adaptive frequency-aware feature fusion (Adpfreqfusion) is hybridized at the end of the neck network to effectively enhance high-frequency information lost during downsampling, thereby improving the model’s detection accuracy for target objects in complex backgrounds. On-site tests demonstrate that the system achieves a comprehensive accuracy of 97.3% and an average vehicle detection time of 7.59 s, exhibiting not only high precision but also high detection efficiency. …”
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Efficient and accurate identification of maize rust disease using deep learning model by Pei Wang, Pei Wang, Jiajia Tan, Yuheng Yang, Yuheng Yang, Tong Zhang, Pengxin Wu, Xinglong Tang, Hui Li, Xiongkui He, Xinping Chen

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Evaluation method of hydrophobicity of composite insulators based on improved Mask R-CNN by SHENG Fei, CAO Liu, LIU Yulong, HUANG Jie, HUANG Yaqian, ZHU Yanqing

“…In this paper, the classification problem is transformed into the target detection problem, and the improved mask region-based convolutional neural network (Mask R-CNN) algorithm is used to evaluate the hydrophobicity level of composite insulators. …”
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Leader–follower dynamics: stability and consensus in a socially structured population by Hsin-Lun Li

“…Leaders maintain a constant attraction to their target, blending it with the average opinion of their group neighbors at each update. …”
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Deep Learning for Stomatal Opening Recognition in <i>Gynura formosana</i> Kitam Leaves by Xinlong Shi, Yanbo Song, Xiaojing Shi, Wenjuan Lu, Yijie Zhao, Zhimin Zhou, Junmai Chai, Zhenyu Liu

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Evaluation and risk assessment of heavy metals in King tuber mushroom in the contest of COVID-19 pandemic lockdown in Sokoto state, Nigeria by Prince Onyedinma Ukaogo, Loai Aljerf, Ezeibe Chidi Nwaru, Ibrahim Imrana, Jian Tang, Atem Bethel Ajong, Precious Onyinyechi Emole, Oys Siddhant, Chizoba Thelma Ukaogo

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Thermal performance and entropy generation analysis of hybrid nanofluids in a 3D cylindrical microtube: Implications for biomedical applications by Chenxu Duan, Hassan Roshani, Payam Jalili, Bahram Jalili, Irshad Ahmad, Qasem M Al-Mdallal, Pan Zhang

“…This study presents a numerical analysis of transient natural convection, heat transfer, and entropy generation in a 3D cylindrical microtube containing a hybrid nanofluid with potential applications in biomedical engineering, such as targeted drug delivery and microfluidic heat exchangers. …”
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Primary liver cancer disease burden in Cambodia during 1990–2021: a systematic analysis of datasets from the global burden of disease study 2021 by Duanyu Wang, Syphanna Sou, Sophearin Rith, Socheat Touch, Minghao Tan, Vicheth Virak, Kunpeng Du, Bunna Sik, Pengkhun Nov

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Efficiency of laparoscopic artificial insemination in goats: impact of laparoscopic insemination sheath needle design by Ting-Chieh Kang, Ting-Chieh Kang, Hsin-Hung Lin, Hsiu-Lien Lin, Pei-Chun Tsai, Yu-Hsin Chen, Fung-Hsiang Chu, Kai-Fei Tseng, I-Ling Lai, Perng-Chih Shen, Perng-Chih Shen

“…In Experiment 2, there were no significant differences in pregnancy rate, kidding rate, or average litter size between unilateral and bilateral inseminations using either the IMV or TLRI sheath (p &gt; 0.05).DiscussionThese findings demonstrate that both TLRI and IMV sheath designs outperform the Minitube sheath in terms of pregnancy and kidding rates, particularly when targeting the M-H site. …”
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Global, regional, and national trends in ischaemic stroke burden and risk factors among adults aged 20 + years (1990–2021): a systematic analysis of data from the Global Burden of... by Sibo Liu, Yanzhao Li, Xiaoyan Lan, Long Wang, Hang Li, Dean Gu, Mengxing Wang, Jinjie Liu, Jinjie Liu

“…During the same period, the overall age-standardized mortality for IS decreased from 116 to 70 cases per 100,000 population, with an average annual change of −1.60%. Similarly, the overall age-standardized DALYs for IS decreased by 35%, with an average annual change of −1.36%. …”
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Seasonal Analysis of Polarimetric Responses Utilizing Ku-Band GB-SAR Time Series Data by Dandy Aditya Novresiandi, Yuta Izumi, Motoyuki Sato, Fathin Nurzaman, Koki Urano

“…This study evaluated the seasonal dynamics of <inline-formula> <tex-math notation="LaTeX">$H/\bar {\alpha }$ </tex-math></inline-formula> target decomposition parameters derived from the spatially and temporally averaged coherence matrix of fully polarimetric Ku-band GB-SAR time series data over a one-year analysis period across three distinct land cover types in a residential area in Hokkaido, Japan. …”
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Identification and enrichment of potential pathways in the buffy coat of patients with DRE using non-targeted metabolomics integrated with GEO Datasets by Hailin Zhu, Suyue Zheng, Liyuan Xie, Yi Yun, Patrick Kwan, Ben Rollo, Hui Huang

“…Results In the DRE group, there were 15 patients (10 males and 5 females), with an average age of (37.67 ± 15.53) years. In the CON group, there were 10 patients (7 males and 3 females), with an average age of (51.60 ± 18.20) years. …”
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RFCS-YOLO: Target Detection Algorithm in Adverse Weather Conditions via Receptive Field Enhancement and Cross-Scale Fusion by Gang Liu, Yingzheng Huang, Shuguang Yan, Enxiang Hou

“…It addresses challenges like complex backgrounds and problems of missing and mis-detecting traffic targets in bad weather. First, an efficient feature extraction module (EFEM) is created. …”
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Integrated vibration packing-sintering process for ITO rotary targets via slurry rheology and discrete element method simulations by Xiaokai Liu, Wenyu Zhang, Hetao Zhao, Benshuang Sun, Xina Liang, Bo Wei, Jiancun Ying, Huiyu Zhang, Yongge Zhao, Yongchun Shu, Yang Liu, Jilin He

“…Through optimization of vibration frequency and sintering process, a large-size rotating ITO target with a density of 99.90 %, resistivity of 0.12 mΩ cm, average grain size of 5.33 μm, outer diameter of 156 mm, thickness of 13 mm, and height of 655 mm was successfully fabricated.…”
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Method and System for Detecting and Recognizing Floating Garbage Moving Targets on Water Surface with Big Data Based on Blockchain Technology by Weihuang Yang, Rongxia Wang, Lvsheng Li

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