Intelligent Identification and Prediction of Roof Deterioration Areas Based on Measurements While Drilling by Jing Wu, Zhi-Qiang Zhao, Xiao-He Wang, Yi-Qing Wang, Xiao-Xiang Wei, Zhi-Qiang You

“…The algorithm demonstrates outstanding performance in both laboratory experiments and field tests, achieving a 100% recognition rate for layered spaces and a 96.6% accuracy for identifying deterioration zones, with high accuracy at lower values of mechanical specific energy (MSE). …”
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A Prediction Model Based on the Long Electrode Source for Fault Anomaly in Tunnel by Daiming Hu, Hao Liu, Xiaodong Yang, Mingxin Yue

“…The accuracy of the algorithm is verified by using the long electrode source model. …”
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Design and Research of a Safety Inspection Robot for Detecting Cracks in Ventilation Shaft Walls of Coal Mines by Tianji Lv, Wenjun Fu

“…In response to the issue of cracks in the walls of these vertical shafts, this study employs a comprehensive approach, integrating theoretical analysis, the construction of a robotic experimental platform, algorithm development, and field testing to design and research a safety inspection robot for detecting cracks in ventilation shaft walls of coal mines. …”
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Research on Multi-crane Cooperative Micro-motion Control of Combined Gantry Cranes for Turnout Laying and Replacement of High-speed Railways Based on Self-learning by LYU Maoyin, NIU Xuexin, CHEN Qishen, ZHAN Taiping

“…Moreover, considering the flexible nature of chains in the real construction process of combined gantry cranes, a self-learning algorithm is incorporated to facilitate flexible and highly precise multi-crane cooperative micro-motion control. …”
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Online monitoring data processing methods for railway slopes and its application: A case study of the Shuohuang Railway by Mu GU

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Traction Drive Control System for Railway Electric Rolling Stock Based on the Application of Power Factor as an Optimization Criterion by Goolak S., Gorobchenko O., Holub H., Kulbovskiy I., Petrychenko O.

“…An electric locomotive traction drive with field-oriented control (FOC) of asynchronous traction motors was selected as the research object. …”
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Path Planning for Agricultural UAVs Based on Deep Reinforcement Learning and Energy Consumption Constraints by Haitao Fu, Zheng Li, Weijian Zhang, Yuxuan Feng, Li Zhu, Yunze Long, Jian Li

“…Although agricultural drones demonstrate potential to address these challenges, they face critical limitations in energy-constrained complete coverage path planning for field operations. This study proposes a novel BiLG-D3QN algorithm by integrating deep reinforcement learning with Bi-LSTM and Bi-GRU architectures, specifically designed to optimize segmented coverage path planning under payload-dependent energy consumption constraints. …”
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Pengembangan Algoritma Manajemen Risiko Proyek Konstruksi by Mutiara Yetrina

“…The resulting algorithm is then implemented to the CC-II civil construction project at Indarung VI Project. …”
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Principal component analysis of time delay in large IP network by Xuan WEI, Xiaoying HUANG

“…Network time delay is one of the key indexes to evaluate network performance.Principal component analysis (PCA) is a kind of multivariable analysis and declination algorithm commonly used in the field of data mining.Based on PCA analysis of time delay in large IP networks, aiming to find out the deep reason of time delay and the interdependencies among nodes of the network, a scientific and reasonable network time delay evaluation system was built, and effective suggestions for IP network construction and optimization were finally got.The off-line analysis of the historical network delay is only a preliminary application of the PCA.In the future, PCA can be applied to the real-time on-line monitoring and analysis of the network performance, such as network traffic, network delay, network packet loss, etc., in combination with the network topology, current network traffic direction, routing, distance and other related factors, thus the efficiency and quality of network operations can be further improved.…”
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Prediction of Blast Crushing Lumpiness Based on CPO-BP Modeling by Xuebin Xie, Chuanqi Huang

“…This direction has been shown to be crucial to ensure the safety and durability of construction projects. In this study, a BP neural network is constructed to optimize the network weights and bias with the help of CPO algorithm, and its practicality and reliability are tested through the case of an iron ore mine in Hunan Province, China. …”
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Anomaly Detection Method for Hydropower Units Based on KSQDC-ADEAD Under Complex Operating Conditions by Tongqiang Yi, Xiaowu Zhao, Yongjie Shi, Xiangnan Jing, Wenyang Lei, Jiang Guo, Yang Meng, Zhengyu Zhang

“…However, anomaly detection under complex operating conditions remains a technical challenge in this field. This paper proposes a hydropower unit anomaly detection method based on K-means seeded quadratic discriminant clustering and an adaptive density-aware ensemble anomaly detection algorithm (KSQDC-ADEAD). …”
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Optimization of energy balances of a photovoltaic power plant with electrochemical and thermal storage of solar energy by B. V. Lukutin, Kadhim Karrar Hameed

“…Analytical methods in the field of construction of consumer energy supply systems from photovoltaic plants, methods of computer-mathematical modeling.RESULTS.The analysis of daily algorithms for the operation of a solar thermal energy supply system was carried out using the example of a social facility in Iraq using electrochemical and thermoelectric energy storage systems, taking into account the variation in the level of solar radiation, ambient temperature and energy consumption by seasons. …”
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LTL-Specification of Counter Machines by Egor V. Kuzmin

“…A counter machine has the form of a computer program written in a high-level language, since it contains variables called counters, and conditional and unconditional jump operators that allow to build loop constructions. It is known that any algorithm (hypothetically) can be implemented in the form of a Minsky three-counter machine.…”
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SR-YOLO: Spatial-to-Depth Enhanced Multi-Scale Attention Network for Small Target Detection in UAV Aerial Imagery by Shasha Zhao, He Chen, Di Zhang, Yiyao Tao, Xiangnan Feng, Dengyin Zhang

“…However, aerial images are typically characterized by numerous small targets, significant occlusion issues, and densely clustered targets, rendering traditional detection algorithms largely ineffective for such imagery. This work proposes a small target detection algorithm, SR-YOLO. …”
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Research review on intelligent object detection technology for coal mines based on deep learning by Fan ZHANG, Jiarong ZHANG, Haixing CHENG

“…With the research and development of deep learning theory, object detection technology based on deep learning has made significant progress in the field of intelligent mining，which has become a typical paradigm and research hotspot of artificial intelligence technology in coal mining application scenarios. …”
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Estimating photosynthetic characteristics of forage rape by fusing the sensitive spectral bands to combined stresses of nitrogen and salt by Jingang Wang, Jingang Wang, Haijiang Wang, Haijiang Wang, Xin Lv, Xin Lv, Jing Cui, Jing Cui, Xiaoyan Shi, Xiaoyan Shi, Jianghui Song, Jianghui Song, Weidi Li, Weidi Li, Wenxu Zhang, Wenxu Zhang

“…After fusing NSpe and SSpe, the accuracy in estimating PGE-CFPs of forage rape under NS, SS, and NS*SS were 0.729–0.755, 0.667–0.768, and 0.621–0.689, respectively. Then, the constructed models were further validated using field data, and the accuracy obtained was in the range of 0.585–0.711. …”
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Inversion Study of Hydrogeological Parameters for Metro Foundation Pit Confined Aquifiers Based on Surrogate Modeling by YE Ru, DI Honggui, ZHU Zhitai, ZHU Yilong, JIANG Bin, XIANG Longsheng, CHAI Dongsheng, YAO Qiyu

“…Combined with a particle swarm optimization algorithm and based on field-measured data, an inverse analysis of the confined aquifer permeability and storage coefficients is conducted. …”
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A High-Precision Real-Time Temperature Acquisition Method Based on Magnetic Nanoparticles by Yuchang Zhu, Li Ke, Yijing Wei, Xiao Zheng

“…The unique magnetothermal properties of magnetic nanoparticles enable the development of a high-precision, real-time, noninvasive temperature measurement method with significant potential in the biomedical field. Based on a low-frequency alternating magnetic field excitation model, we construct two additional magnetic field excitation models—alternating current–direct current superposition and dual-frequency superposition—to extract harmonic amplitude components from the magnetization response. …”
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In Situ Monitoring and Numerical Experiments on Vertical Deformation Profiles of Large-Scale Underground Caverns in Giant Hydropower Stations by Hao Wu, Jian Liu, Xiaogang Wang, Lipeng Liu, Zhenhua Tian

“…After fitting the complete VDP curve with a Levenberg-Marquardt algorithm, we verify its validity by comparing predicted data with in situ monitoring data. …”
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Staged Design of Water Distribution Networks: A Reinforcement Learning Approach by Lydia Tsiami, Christos Makropoulos, Dragan Savic

“…The agent achieved comparable performance with the baseline heuristic algorithm in the deterministic setting and devised a flexible design strategy when multiple future scenarios were considered. …”
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