In Situ Raman Spectroscopy for Early Corrosion Detection in Coated AA2024-T3 by Adrienne K. Delluva, Ronald L. Cook, Matt Peppel, Sami Diaz, Rhia M. Martin, Vinh T. Nguyen, Jeannine E. Elliott, Joshua R. Biller

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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…Abstract This paper aims to solve the problem of the difficulty in balancing the model size and detection accuracy of the unmanned mining truck detection network in open-pit mines, as well as the problem that the existing model is not suitable for mining truck equipment. …”
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3D LiDAR motion distortion algorithm for open-pit coal mine by Hui LI, Minchao LI, Lizhen CUI, Baoliang MA, Qingyu ZHANG, Bingbing PAN

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Small object detection in complex open-pit mine backgrounds based on improved YOLOv11 by ZHU Yongjun, CAI Guangqi, HAN Jin, MIAO Yanzi, MA Xiaoping, JIAO Wenhua

“…Small object detection in open-pit mines faces challenges such as wide viewing angles and long detection distances, which result in small target imaging. …”
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Frequent detection of functional hyposplenism via assessment of pitted erythrocytes in patients with advanced liver cirrhosis. by Malte H Wehmeyer, Harsha Sekhri, Raluca Wroblewski, Antonio Galante, Thomas Meyer, Ansgar W Lohse, Julian Schulze Zur Wiesch

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Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection by Xiuhao Liang, Jun Xiang, Sheng Qin, Yundan Xiao, Lifen Chen, Dongxia Zou, Honglun Ma, Dong Huang, Yongxin Huang, Wei Wei

“…The application of deep learning in tree pit detection of unmanned aerial vehicle (UAV) images has problems such as dense distribution, high density, small size, false detections, missed detections, and high localization error. …”
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Research on Lightweight Open-Pit Mine Driving Obstacle Detection Algorithm Based on Improved YOLOv8s by Bo Xu, Wubin Xu, Bing Li, Hanwen Zhang, Yuanbin Xiao, Weixin Zhou

“…To verify the effectiveness of the algorithm in this paper, an experimental verification is carried out on the constructed open-pit mine driving obstacle dataset. The results show that compared with YOLOv8s, the mAP50 of this algorithm reaches 95.3%, the detection speed is increased by 40.2%, the model parameters are reduced by 71.2%, and the calculation amount is reduced by 73.7%. …”
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Research on the detection of obstacles in front of unmanned vehicles in opencast mines based on binocular vision by Shunling RUAN, Huiguo ZHANG, Qinghua GU, Caiwu LU, Di LIU, Jing MAO

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Comparison of phenylpropanoid metabolism of three physiological disorders in apple and pear by Linru Wang, Gengsen Liu, Lianmei Liu, Yugang Zhang, Haiyong Qu

“…Apples and pears are the main temperate fruit tree species, and metabolic disorders may occur during their development and post-harvest storage periods, leading to physiological diseases. In this study, we detected the phenylalanine ammonia-lyase (PAL) enzyme and related metabolites involved in phenylpropanoid metabolism in the pulp of pear with hard-end or cork spot and in the pulp of apple with bitter pit. …”
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Development of three-dimensional forward modeling and observation device for leakage electric field in the process of foundation pit pumping test. by Yufeng Chen, Hui Chen, Jiayong Yan, Yuexin You, Suiming Liu

“…Early detection of leakage in foundation pit retaining structures during excavation is critical for ensuring both construction safety and the integrity of adjacent buildings. …”
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Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study by Jiang Li, Zhuoying Tan, Naigen Tan, Aboubakar Siddique, Jianshu Liu, Fenglin Wang, Wantao Li

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Effectiveness evaluation of pit and fissure sealing for first permanent molars in children in Haizhu District, Guangzhou after 3 years by CHEN Chunyan, TAN Fengqing, YANG Yan, LIU Xia

“…Objective To investigate the effect of a free pit and fissure sealing program for caries prevention on first permanent molars (six-year molars) in Haizhu District, Guangzhou, three years after its implementation in 2019. …”
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Electric Field-Enhanced SERS Detection Using MoS₂-Coated Patterned Si Substrate with Micro-Pyramid Pits by Tsung-Shine Ko, Hsiang-Yu Hsieh, Chi Lee, Szu-Hung Chen, Wei-Chun Chen, Wei-Lin Wang, Yang-Wei Lin, Sean Wu

“…The SERS results demonstrated that the intensity in the pits of the few-layer MoS₂/patterned Si SERS substrate was approximately 274 times greater compared to planar Si, with a limit of detection reaching 10⁻⁵ M. …”
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Determinants of Caregivers’ Ability to Accurately Detect Acute Malnutrition Using Color-Coded Mid-Upper Arm Circumference Tape and Pitting Edema by Benson C Singano, Collina A Tchongwe, Numeri C Geresomo, Tinna Ng’ong’ola-Manani, Aaron T Chikakuda, Alfred Ngwira, Stanley Mwase, Elsie Mawala, Benson Kazembe, Emma Budalla, Alexander A Kalimbira

“…Objectives: To identify determinants of accuracy in detecting acute malnutrition using color-coded mid-upper arm circumference (MUAC) tape and pitting edema among caregivers. …”
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Towards Mine 4.0: A Proposed Multi-Layered Architecture for Real-Time Surveillance and Anomaly Detection in an Open-Pit Phosphate Mine by Laila El Hiouile, Ahmed Errami, Nawfel Azami

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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…Secondly, taking unmanned mining truck as the research object, a 3D collision detection method is designed, which can judge the conflict relationship between obstacles and vehicle body in the horizontal and vertical aspects respectively, and according to the structural characteristics of mining truck and road conditions, a parallel crossing strategy is developed to directly cross over obstacles that are not threatening to vehicles, which can effectively improve the passing efficiency of mining truck under the premise of ensuring safety. …”
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Structural detection of goaf based on three-dimensional ERT technology by Nan Jia

“…Therefore, this study used three-dimensional electrical resistivity tomography technology to more accurately detect the structure of the goaf due to its high resolution and non-invasive characteristics. …”
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An Intelligent Collaborative Charging System for Open-Pit Mines by Jinbo Li, Lin Bi, Zhuo Wang, Liyun Zhou

“…To address challenges in automated charging operations of bulk explosive trucks in open-pit mines—specifically difficulties in borehole identification, positioning inaccuracies, and low operational efficiency—this study proposes an intelligent collaborative charging system integrating three modular components: (1) an explosive transport vehicle (with onboard terminal, explosive compartment, and mobility system enabling optimal routing and quantitative dispensing), (2) a charging robot (equipped with borehole detection, loading mechanisms, and mobility system for optimized search path planning and precision positioning), and (3) interconnection systems (coupling devices and interfaces facilitating auxiliary explosive transfer). …”
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Research on the performance of the SegFormer model with fusion of edge feature extraction for metal corrosion detection by Bingnan Yan, Conghui Wang, Xiaolong Hao

“…On the Self-built tubing corrosion pit image dataset, the model utilizes only 3.60 MB of parameters to achieve an accuracy of 96.52%, confirming the effectiveness and performance advantages of the proposed method in practical applications.…”
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Research on Stability of an Open-Pit Mine Dump with Fiber Optic Monitoring by Tao Zhigang, Zhu Chun, Wang Yong, Wang Jiamin, He Manchao, Zhang Bo

“…China has over 1500 open-pit mines and 5000 dumps consisting of waste rock from the mining process. …”
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