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Table Of Contents, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

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Journal Of The Arkansas Academy Of Science Volume 79, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

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Lafe0.925ti0.075o3 Perovskite Coated With Ethyl Cellulose: A High-Stability, Low-Hysteresis Platform For Advanced Humidity Sensing, Akhmad Futukhillah Fataba Alaih, Djoko Triyono, Rifqi Almusawi Rafsanjani

Makara Journal of Science

Humidity sensors are pivotal in numerous sectors, such as environmental monitoring, industrial automation, and health-care. This study presents the fabrication and detailed evaluation of an advanced humidity sensor using ethyl cellulose (EC)-coated LaFe_0.925Ti_0.075O₃ (LFTO) perovskite nanoparticles synthesized via the sol-gel method. The LFTO nanopar-ticles exhibited a mesoporous structure with an enhanced surface area, which significantly improved their moisture adsorption capabilities. The innovative application of EC coating addresses critical substrate adhesion issues, enhancing mechanical stability without compromising sensor sensitivity. Comprehensive performance evaluations revealed minimal hysteresis (

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Adaptive Path Planning For Robotic Arms Integrating Rrt* And Apf, Zhirun Chen, Jie Yuan, Erkenbieke Jia, Ningning Zhang, Chao Liu, Yushan Ye

Journal of System Simulation

To address the issues of large search space, low efficiency, and slow convergence of the RRT* algorithm in 3D path planning of robotic manipulators, an adaptive path planning algorithm integrating RRT* and APF is proposed. In the sampling phase, a Sobol sequence-based obstacle avoidance strategy and an APF adaptive-threshold, goal-biased sampling method are used to improve the quality of sampling points. During the expansion phase, sampling, attractive, and repulsive vectors are integrated, and adaptive weights are designed based on environmental information to generate a resultant force direction, thus enhancing the expansion guidance. For step size control, the obstacle repulsive potential …

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Advances In Regional Fracturing Technology Using Underground Long Directional Boreholes For The Prevention And Control Of Coal-Rock Dynamic Disasters And Its Engineering Practices, Zheng Kaige, Zhang Jian, Sun Siqing, Chen Dongdong, Zhang Qun, Li Bingang, Guo Wei, Liu Le, Jia Bingyi, Wang Zeyang, Dai Nan, Wang Haojie

Coal Geology & Exploration

Objective Coal-rock dynamic disasters represent a key challenge to the safe and efficient mining of deep coals, rendering it urgent to develop regional, advance, and precise technologies for proactive disaster prevention and control. Advances The regional fracturing technology using underground long directional boreholes for disaster prevention and control in coal mines originated from ground fracturing. To date, a regional fracturing theory oriented to geological origin, mining responses, and disaster-causing mechanisms has been developed. Furthermore, a core equipment system incorporating high-power directional drilling rigs, variable frequency fracturing pump sets with high injection rates of fracturing fluids, infinite stage fracturing, and tools …

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Summary And Reflections On Coal And Coalbed Methane Co-Production And Coalbed Methane Extraction In Coal Mining Areas, Zhang Sui’An, Zhang Xiao, Li Xuechen, Hu Huiting

Coal Geology & Exploration

Background To curb coal mine gas accidents from sources, exploit low-carbon and clean coalbed methane (CBM) resources, and protect the atmospheric environment (achieved by methane emission reduction in coal mining areas), the authors’ team, by working with Shanxi Jincheng Anthracite Mining Group and cooperating closely with relevant research institutes, colleges, and universities, has progressively developed theories with clear concepts and scientific connotations, as well as relevant technical systems and industrial paradigms, for coal and CBM co-production through over two decades of original, integrated, and cross-industry innovations (spanning across fluid and solid mineral industries), along with theoretical exploration, technological research and …

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Methods For Assessing The Circulation Depth Of Geothermal Water In A Moderate- To Low-Temperature Convective Geothermal System And Their Applications, Li Yiman, Xia Haoran, Gao Binbin, Sun Wenjie, Pang Zhonghe

Coal Geology & Exploration

Background The circulation depth of geothermal water is an important parameter for investigating geothermal systems or fields. It determines the thermal energy intensity and mineral composition of geothermal water, emerging as a critical factor influencing the efficient and sustainable development and utilization of geothermal resources.Progress This study presents a summary of the characteristics of typical moderate- to low-temperature convective geothermal systems from the perspective of sources (heat and fluid sources), pathways, geothermal reservoirs, cap rocks, and the geothermal water upwelling process and its impacts. Furthermore, this study systematically reviews suitable methods for assessing the circulation depth of geothermal water, …

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Design Of Teaching Model For Simulation Engineering Comprehensive Practical Course, Meigen Huang, Xin Zhou, Tian Jing, Tao Wang

Journal of System Simulation

To cultivate postgraduates' comprehensive engineering problem-solving ability to complex problems, based on Wittrock's generative learning theory and the agile systems engineering paradigm, this paper proposed an overall idea of curriculum construction reform promoted by the integration of teaching and research, independently developed an unmanned swarm attack and defense simulation experimental teaching platform, constructed a comprehensive practical case of "warship defense against unmanned aerial vehicle swarm attacks", and refined a relatively advanced and distinctive teaching model for the simulation engineering comprehensive practical course. This model effectively strengthens postgraduates' engineering problem-solving thinking for complex problems, stimulates their independent innovation ability, elevates …

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Research On Output Feedback Control Based On Reinforcement Learning For Overhead Crane, Minghui Li, Daoxiang Gao

Journal of System Simulation

An output feedback control algorithm is designed based on reinforcement learning for the optimal control problem of overhead crane system. A high gain observer (HGO) is designed using output data to estimate the unmeasurable states of the overhead crane system. Based on the estimated states from the high-gain observer, a policy iteration (PI) method is designed with integral reinforcement learning, which uses Critic and Actor neural networks to approximate the optimal value function and control strategy, and adjusts the neural network weights in real time through online adaptive algorithms. According to the Lyapunov stability theory, the uniform ultimate boundedness of …

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Laminarin-Loaded Solid-In-Oil Nanodispersion For Enhanced Non-Invasive Transdermal Immunization, Md. Shahin Ekka Sarker, Yoshirou Kawaguchi, Rie C. Wakabayashi, Noriho J. Kamiya, Muhammad Moniruzzaman, Masahiro Goto

Publications and Research

Simple and non-invasive transdermal vaccination is an attractive alternative to conventional injection-based immunization. However, the effectiveness of transdermal vaccines is often constrained by the stratum corneum barrier. Although the use of solid-in-oil (S/O) nanodispersion technology has successfully facilitated skin permeation to induce an immunological response, the antibody titers remain suboptimal. Herein, a dectin-1 selective ligand, laminarin, was used as an immunostimulatory adjuvant to enhance the immune response. S/O nanodispersions loaded with laminarin and ovalbumin (OVA) were systematically developed and characterized in terms of particle size, in vitro OVA release behavior, and skin permeation performance using excised mouse skin. In vivo …

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Dynamic Analysis Of Flexible Mechanism With Lubrication Clearances Considering Uncertain Parameters, Xiulong Chen, Yi Sun, Aiguo Wang

Journal of System Simulation

This paper conducted a dynamic analysis on a seven-link mechanism suitable for a hybriddriven press, simultaneously considering lubrication clearances, interval parameters, and link flexibility. Based on the Lagrange equations of the first kind, the dynamic equations of the flexible mechanism with lubrication clearances under deterministic parameters were established; interval variables were introduced to establish a dynamic model considering interval parameters, and the Chebyshev interval algorithm and the Runge - Kutta method were used to solve the response interval curves of interval parameters such as clearances value, dynamic viscosity, and cross-sectional area. The results show that compared with the results under …

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Energy Management Strategy For Hybrid Electric Buses Considering Vehicle Mass Variation, Jinjun Tang, Shuaijie Zhang

Journal of System Simulation

The vehicle mass variation during the operation of buses affects power demand of the vehicle, which can result in poor performance of energy management strategies. To this end, a hybrid electric bus energy management strategy based on proximal policy optimization-adaptive simulated annealing (PPOASA) is proposed. ASA is introduced into PPO to perturb policy parameters according to policy entropy before the policy update, and the perturbed policies are adaptively accepted or rejected by employing the Metropolis criterion, thus improving the exploration capability of the policy and convergence stability. Experimental results show that the proposed method outperforms the charge depleting-charge sustaining (CD-CS) …

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Two-Stage Calibration And Optimization Method For Microscopic Traffic Simulation Model Parameters Based On Neural Network Surrogate Models, Yijia Liu, Chenjing Zhou, Dong Pan, Jian Rong, Yang Xiao

Journal of System Simulation

A two-stage calibration and optimization method is proposed to address the problem that parameter calibration methods for microscopic traffic simulation models are time-consuming. In the first stage, a surrogate model based on neural networks is trained to establish the mapping relationship between model parameters and evaluation indicators, and a genetic algorithm (GA) is combined to screen candidate parameters. In the second stage, after obtaining the approximate optimal parameters, by employing this set of parameters as initial values, a genetic algorithm is re-executed by combining the real simulation model for optimization to further improve calibration accuracy. Experimental results show that the …

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Research On Optimization Modeling Method For Eye Tracking In Solfeggio Cognitive Simulation, Kun Zhang, Jiajie Qian, Shuhong Ma, Zengxu Zhao, Yuchen Pan, Yaoqi Tang

Journal of System Simulation

To address the fixation offset problem caused by head movement in music solfeggio teaching simulation and the lack of system-level simulation validation in existing methods, this paper proposed a fixation accuracy optimization method integrating image semantic understanding, temporal trajectory modeling, and solfeggio cognitive simulation. With Vision Transformer as the core, after preprocessing via Mahalanobis distance, sliding window, and region of interest, position offset perception, offset residual regression, and dual-pathway fusion were introduced to achieve offset modeling and correction under unlabeled conditions. Simulation results indicate that the error of this method decreases by 43.9% compared with the original value error; removing …

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Advances In Research On Borehole Geophysical Exploration And Associated Equipment For Advance Detection Of Underground Water Hazards In Coal Mines, Wu Qiang, Wang Xianhui, Yang Donghui, Xiao Wenhao, Cui Zhuangjie, Chen Han, Sheng Zhen, Zeng Yifan

Coal Geology & Exploration

Background Deep coal mining is facing increasingly complex hidden disaster-causing factors, including faults, collapse columns, water accumulation in goaves, confined water in coal seam floors, and hydraulically conductive fracture zones. In this context, conventional modes based on ground exploration, roadway geophysical exploration, and drilling verification suffer from limitations in terms of detection distance, positioning accuracy, dynamic perception, and real-time feedback. In contrast, borehole geophysical exploration extends the detection space into coal-rock masses using underground boreholes, enabling the acquisition of information about continuous physical properties around, between, and ahead of boreholes. Therefore, this technology provides important support for the advance detection …

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Recent Advances In Research On Intelligent Technologies And Equipment For Underground Geological Exploration Of Coal Mines In China, Zhang Jianming, Li Quanxin, Liu Fei, Fang Jun

Coal Geology & Exploration

Background Intelligent coal mine construction represents an important measure to promote the high-quality development of the coal industry. Developing intelligent technologies and equipment for geological exploration is the key to both transparent geological guarantee and the efficient prevention and control of major disasters in coal mines. Advances This study presents a systematic analysis of the latest advances in intelligent technologies and equipment for underground geological exploration of coal mines in China, focusing on intelligent drilling and geophysical prospecting. In terms of intelligent drilling, this study introduces intelligent drilling rigs equipped with multiple functions, including adaptive control, remote monitoring, and fault …

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Philosophy And Methodology For Predicting Deep Coal Resources: A Case Study Of The Carboniferous-Permian Strata In The Ordos Basin, Cao Daiyong, Wei Yingchun, Ning Shuzheng, Wang Xin, Zhu Wenhao, Li Jingqi, Wang Anmin, Qiao Junwei, Xu Xiaotao, Hou Yuehua

Coal Geology & Exploration

Objective In China, deep coal resources hold considerable potential, exhibiting promising prospects for exploitation and utilization. Therefore, gaining a clear understanding of deep coal resources provides a prerequisite and foundation for both the national strategic planning of coal resources and the scientific development and utilization of deep coal resources. Research Thinking From the perspective of the current situation of coal resources in China, this study determined the occurrence characteristics and categories of deep coal resources. Accordingly, it proposed a philosophy and workflow for predicting the resources, followed by the prediction of deep coal resources in the Carboniferous-Permian strata of the …

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Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini

Coal Geology & Exploration

Background The dynamic metamorphism of coals, a significant type of coal metamorphism, represents a fundamental research topic of coal geology. The research achievements have been widely applied in fields such as coal resource evaluation, the prevention and control of coal mine gas, and the exploration and exploitation of coalbed methane (CBM), holding great significance for gaining a deep understanding of the microscopic mechanisms underlying coal deformation and metamorphism, coal and gas outbursts, and CBM occurrence. Method Based on a literature survey and analysis, this study presents a systematic review of the development history of research on the dynamic metamorphism of …

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Tectonic Genetic Mechanisms Of Burnt Rocks In The Upper And Middle Reaches Of The Yellow River Basin, Sun Qiang, Hu Xin, Wang Shuangming, Ding Xiaoying, Geng Jishi, Wu Jiakun, Wei Shaoni, Luo Donghai

Coal Geology & Exploration

Objective The upper and middle reaches of the Yellow River basin represent significant coal bases of China, while burnt rocks formed by the high temperature of coal fires greatly affect the safe and green coal mining in this region. Therefore, investigating the distribution patterns and geological genetic mechanisms of burnt rocks in this region is of great scientific significance and practical value. Methods This study systematically investigated the distribution range and patterns of burnt rocks in the upper and middle reaches of the Yellow River basin. Using analysis of geological processes, this study explored the geological genetic mechanisms and primary …

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Hydrodynamic Evolution Simulations And Safety Assessment Of The Deep Reinjection And Storage Of High-Salinity Mine Water, Xu Zhimin, Chen Weixiao, Sun Yajun, Zhang Jian, Chen Tianci, Liu Qi, Chen Ge, Hua Jingfan

Coal Geology & Exploration

Objective In some mining areas of North China-type coalfields, large volumes of high-salinity mine water produced during coal mining pose dual challenges: high treatment costs to meet discharge standards and the waste of mine water resources due to inefficient utilization before discharge. In recent years, the deep reinjection and storage technology for high-salinity mine water has provided a new approach to this issue. To achieve this technology, it is essential to understand the flow field evolution during mine water reinjection and address reinjection-induced safety problems. Methods This study investigated coal mine A in Jiangsu Province as an example. Using the …

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Key Technologies For Artificial Intelligence-Based Inversion Of The Borehole Transient Electromagnetic Method In Coal Mining Areas, Fan Tao, Hao Yue, Zhang Peng, Li Ping, Zhao Zhao, Zhao Rui, Liu Qiang, Yan Junsheng, Song Xianzhe, Liu Borui, Chen Changyuan, Li Bo

Coal Geology & Exploration

Background Using directional boreholes, the borehole transient electromagnetic (TEM) method enables near-field excitation and the simultaneous reception of three components within a borehole. This method can effectively avoid interference from ferromagnetic materials in roadways, thereby significantly enhancing the detection accuracy and range. Therefore, this method is widely applied to the detection of underground concealed water hazards in coal mines. However, there is a conflict between the accuracy and efficiency of current inversion methods for borehole TEM data, and existing technologies are insufficient to simultaneously meet the demands for high efficiency and high precision in the detection of concealed water hazards. …

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Development And Prospects Of Underground Intelligent Drilling Rigs For Coal Mines, Yao Ningping, Li Quanxin, Lu Qianhai, Peng Guangyu, Zhang Gang, Zhang Youzhen

Coal Geology & Exploration

Background In coal mines, underground intelligent drilling rigs serve as critical equipment for gas extraction and water hazard prevention and control. With increasing mining depth, extreme operating conditions, including elevated gas concentration and high in situ stress, pose challenges to conventional drilling modes. Progress This study presents a systematic review of the evolutionary history of intelligent drilling rigs in China from the 13th to the 14th Five-Year Plan, dividing it into three stages: semi-automated operation, whole-process automated operation, and initial intelligent drilling. In the semi-automated operation stage, technologies for remote control within a viewing distance and automatic loading and unloading …

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Intelligent Path Planning For Drilling Arms In Rock Bolting In Coal Mines Based On An Improved Rrt Algorithm, Zhang Xuhui, Xie Yanbin, Lei Mengyu, Song Chengzhi, Dong Zheng, Wang Zeyao, Wang Tenghui, Tian Sihao, Zhang Qinhuan

Coal Geology & Exploration

Objective Against the background of intelligent coal mining, automated underground rock bolting has become a core demand in enhancing the tunneling efficiency and safety of roadways. However, the path planning of drilling arms suffers from a low degree of automation, cumbersome posture adjustment, low operational stability, and insufficient drilling accuracy in complex underground environments. Methods To address these issues, this study developed an intelligent path planning method for drilling arms in rock bolting in coal mines based on an improved rapidly-exploring random tree (RRT) algorithm. First, a goal-biased guidance strategy was adopted to narrow the sampling range, and an update …

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Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

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Research And Empirical Validation Of The Application Modes Of Multimodal Large Language Models For Coal Mines, Wang Guofa, Wang Jingyi, Liu Shuang, Xu Zhe, Liu Mingrui

Coal Geology & Exploration

Objective Under the technological backdrop of large language models (LLMs), big data, and knowledge fusion, multimodal LLMs have found rapid application across traditional industries, including coal mining. However, the successful implementation and sustained operation of these models remain challenging. To address issues concerning the implementation and usage of multimodal LLMs in the construction of intelligent coal mines, this study conducted a multi-dimensional survey of multimodal LLM applications in coal mines, aiming to establish an LLM application paradigm that is suitable for the current management status and organizational structures for safe coal mining. Method Using content analysis, case analysis, and empirical …

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Novel Connotations Of Green Exploration Oriented To Mine Ecological Restoration, Hu Zhenqi, Zhang Fan, Zhao Yanling, Liang Yusheng

Coal Geology & Exploration

Background Mineral resource exploitation inevitably causes ecological damage, while its green solution is rooted in green exploration. Currently, green exploration refers to activities aimed at avoiding, eliminating, or mitigating ecological pollution and damage caused by exploration operations, as well as those intended for the restoration of the ecosystem damaged in the exploration process. However, besides focusing on the exploration process, green exploration should provide geological guarantees for ecological restoration following resource exploitation. [Methods] In this study, the novel connotations of green exploration are proposed first. In other words, green exploration, which should be oriented to the demand for mine …

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Advances In Research On Techniques For Petrographic Analysis And Tests Of Coals And Their Applications In China, Song Xiaozhong, Zhang Qun, Fan Zhangqun, Jiang Wenping

Coal Geology & Exploration

Background Techniques for petrographic analysis and tests of coals are critical to the accurate characterization of coals, oil, and gas, providing pivotal geological bases for coalfield exploration, formation condition investigation of coal deposits, clean and efficient coal utilization, and hydrocarbon resource evaluation. China's coal petrology commenced nearly a century ago, having progressively evolved into a key field serving the national energy strategy from the early-stage component identification and genetic investigation of coals. A standardization system suitable for the petrographic analysis and tests of coals with distinctive Chinese characteristics has been established. This system has found applications in industrial fields including …

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Industrial Development Of Coalbed Methane Exploitation In China: A 30-Year Retrospective And Future Prospects, Meng Shangzhi, Li Yong, Qin Yong, Li Guofu, Tang Shuheng, Xu Fengyin, Wang Yanbin, Zhang Shouren, Zhang Cong

Coal Geology & Exploration

Background The founding of China United Coalbed Methane Corp., Ltd. in 1996 signals the entry of the coalbed methane (CBM) exploitation in China into the industrial development stage. A systematic summary of the development history, key technologies, and future trends of China's CBM industry is of great significance for gaining a deeper understanding of CBM exploitation patterns and promoting the high-quality development of the CBM industry. Based on a systematic investigation of relevant domestic and international literature, this study presents a comprehensive analysis of the industrial development process of CBM exploitation in China, including development stages, technological evolution, and future …

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Advances And Prospects Of Design Optimization Technologies For Differential Development With Three-Dimensional Well Patterns For Deep Coalbed Methane Reservoirs: A Case Study Of The No. 8 Coal Seam In The Ordos Basin, Yan Xia, Fang Jianlong, Mou Chun, Meng Peilong, Wang Yuan, Yu Xiang, Fei Shixiang, Feng Yanqing, Zhao Longmei, Li Meng, Cui Yuehua, Chi Runlong, Yang Qing, Huang Li, Zheng Xiaopeng, Yin Zesong, Wang Congcong, Ma Limin, Zhang Shuang, Liu Shirui, Zhang Yang, Guo Jiali

Coal Geology & Exploration

Objective Design optimization for gas reservoir development serves as a key approach to the efficient exploitation, enhanced primary recovery, and elevated efficiency with reduced costs of deep coalbed methane (CBM). Methods In this study, the most extensively developed Ordos Basin in China was investigated as an example to explore the significant heterogeneity of the geological conditions of deep coal seams. Based on a fine-scale geological investigation of over 3 000 wells across the basin, this study systematically revealed the heterogeneity of the key parameters of deep coal reservoirs, including reservoir distribution, reservoir-cap rock assemblages, coal seam structure, and gas-bearing properties. …

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Analysis Of Coal Seam Water Sources Based On Hydrochemistry And Water Isotopes, Wei Dong, Wang Hao, Wang Chungang, Wang Xiaodong, Liu Wei, Wang Qiangmin, Liu Quanhui, Zhou Zhenfang, Wang Yutong

Coal Geology & Exploration

Background The northern Yuheng mining area exhibits the widespread occurrence of water-bearing coal seams. This unique hydrogeological phenomenon poses a serious challenge to efficient mine roadway construction and safe coal mining in the mining area. The recharge sources of the coal seam water remain poorly understood, representing a primary bottleneck in the prevention and control of coal seam water hazards. Methods This study aims to reveal the recharge sources and evolutionary mechanisms of coal seam water in the northern Yuheng mining area. By integrating methods including hydrochemical analysis, isotope analysis, and inverse hydrogeochemical simulation, this study systematically investigated the hydrogeochemical …

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Full-Text Articles in Engineering

Table Of Contents, Academy Editors

Journal of the Arkansas Academy of Science

Journal Of The Arkansas Academy Of Science Volume 79, Academy Editors

Journal of the Arkansas Academy of Science

Lafe0.925ti0.075o3 Perovskite Coated With Ethyl Cellulose: A High-Stability, Low-Hysteresis Platform For Advanced Humidity Sensing, Akhmad Futukhillah Fataba Alaih, Djoko Triyono, Rifqi Almusawi Rafsanjani

Makara Journal of Science

Adaptive Path Planning For Robotic Arms Integrating Rrt* And Apf, Zhirun Chen, Jie Yuan, Erkenbieke Jia, Ningning Zhang, Chao Liu, Yushan Ye

Journal of System Simulation

Coal Geology & Exploration

Summary And Reflections On Coal And Coalbed Methane Co-Production And Coalbed Methane Extraction In Coal Mining Areas, Zhang Sui’An, Zhang Xiao, Li Xuechen, Hu Huiting

Coal Geology & Exploration

Methods For Assessing The Circulation Depth Of Geothermal Water In A Moderate- To Low-Temperature Convective Geothermal System And Their Applications, Li Yiman, Xia Haoran, Gao Binbin, Sun Wenjie, Pang Zhonghe

Coal Geology & Exploration

Design Of Teaching Model For Simulation Engineering Comprehensive Practical Course, Meigen Huang, Xin Zhou, Tian Jing, Tao Wang

Journal of System Simulation

Research On Output Feedback Control Based On Reinforcement Learning For Overhead Crane, Minghui Li, Daoxiang Gao

Journal of System Simulation

Laminarin-Loaded Solid-In-Oil Nanodispersion For Enhanced Non-Invasive Transdermal Immunization, Md. Shahin Ekka Sarker, Yoshirou Kawaguchi, Rie C. Wakabayashi, Noriho J. Kamiya, Muhammad Moniruzzaman, Masahiro Goto

Publications and Research

Dynamic Analysis Of Flexible Mechanism With Lubrication Clearances Considering Uncertain Parameters, Xiulong Chen, Yi Sun, Aiguo Wang

Journal of System Simulation

Energy Management Strategy For Hybrid Electric Buses Considering Vehicle Mass Variation, Jinjun Tang, Shuaijie Zhang

Journal of System Simulation

Two-Stage Calibration And Optimization Method For Microscopic Traffic Simulation Model Parameters Based On Neural Network Surrogate Models, Yijia Liu, Chenjing Zhou, Dong Pan, Jian Rong, Yang Xiao

Journal of System Simulation

Research On Optimization Modeling Method For Eye Tracking In Solfeggio Cognitive Simulation, Kun Zhang, Jiajie Qian, Shuhong Ma, Zengxu Zhao, Yuchen Pan, Yaoqi Tang

Journal of System Simulation

Advances In Research On Borehole Geophysical Exploration And Associated Equipment For Advance Detection Of Underground Water Hazards In Coal Mines, Wu Qiang, Wang Xianhui, Yang Donghui, Xiao Wenhao, Cui Zhuangjie, Chen Han, Sheng Zhen, Zeng Yifan

Coal Geology & Exploration

Recent Advances In Research On Intelligent Technologies And Equipment For Underground Geological Exploration Of Coal Mines In China, Zhang Jianming, Li Quanxin, Liu Fei, Fang Jun

Coal Geology & Exploration

Philosophy And Methodology For Predicting Deep Coal Resources: A Case Study Of The Carboniferous-Permian Strata In The Ordos Basin, Cao Daiyong, Wei Yingchun, Ning Shuzheng, Wang Xin, Zhu Wenhao, Li Jingqi, Wang Anmin, Qiao Junwei, Xu Xiaotao, Hou Yuehua

Coal Geology & Exploration

Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini

Coal Geology & Exploration

Tectonic Genetic Mechanisms Of Burnt Rocks In The Upper And Middle Reaches Of The Yellow River Basin, Sun Qiang, Hu Xin, Wang Shuangming, Ding Xiaoying, Geng Jishi, Wu Jiakun, Wei Shaoni, Luo Donghai

Coal Geology & Exploration

Hydrodynamic Evolution Simulations And Safety Assessment Of The Deep Reinjection And Storage Of High-Salinity Mine Water, Xu Zhimin, Chen Weixiao, Sun Yajun, Zhang Jian, Chen Tianci, Liu Qi, Chen Ge, Hua Jingfan

Coal Geology & Exploration

Key Technologies For Artificial Intelligence-Based Inversion Of The Borehole Transient Electromagnetic Method In Coal Mining Areas, Fan Tao, Hao Yue, Zhang Peng, Li Ping, Zhao Zhao, Zhao Rui, Liu Qiang, Yan Junsheng, Song Xianzhe, Liu Borui, Chen Changyuan, Li Bo

Coal Geology & Exploration

Development And Prospects Of Underground Intelligent Drilling Rigs For Coal Mines, Yao Ningping, Li Quanxin, Lu Qianhai, Peng Guangyu, Zhang Gang, Zhang Youzhen

Coal Geology & Exploration

Intelligent Path Planning For Drilling Arms In Rock Bolting In Coal Mines Based On An Improved Rrt Algorithm, Zhang Xuhui, Xie Yanbin, Lei Mengyu, Song Chengzhi, Dong Zheng, Wang Zeyao, Wang Tenghui, Tian Sihao, Zhang Qinhuan

Coal Geology & Exploration

Table Of Contents, The Editors

Coal Geology & Exploration

Research And Empirical Validation Of The Application Modes Of Multimodal Large Language Models For Coal Mines, Wang Guofa, Wang Jingyi, Liu Shuang, Xu Zhe, Liu Mingrui

Coal Geology & Exploration

Novel Connotations Of Green Exploration Oriented To Mine Ecological Restoration, Hu Zhenqi, Zhang Fan, Zhao Yanling, Liang Yusheng

Coal Geology & Exploration

Advances In Research On Techniques For Petrographic Analysis And Tests Of Coals And Their Applications In China, Song Xiaozhong, Zhang Qun, Fan Zhangqun, Jiang Wenping

Coal Geology & Exploration

Industrial Development Of Coalbed Methane Exploitation In China: A 30-Year Retrospective And Future Prospects, Meng Shangzhi, Li Yong, Qin Yong, Li Guofu, Tang Shuheng, Xu Fengyin, Wang Yanbin, Zhang Shouren, Zhang Cong

Coal Geology & Exploration

Coal Geology & Exploration

Analysis Of Coal Seam Water Sources Based On Hydrochemistry And Water Isotopes, Wei Dong, Wang Hao, Wang Chungang, Wang Xiaodong, Liu Wei, Wang Qiangmin, Liu Quanhui, Zhou Zhenfang, Wang Yutong

Coal Geology & Exploration