Optimal control for high-precision repeat ground-track orbits via convex optimization by Yanchao HE, Lei ZHANG, Yijun YANG, Qian CHEN

“…The multi-impulsive RGT control is formalized as the nonlinear programming problem with a set of maneuver velocity increments to be minimized and nonlinear constraints to be enforced. …”
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Unmanned trackless rubber wheeler based on LD improved Cartographer mapping algorithm underground SLAM autonomous navigation method and test by Fangwei LI, Jiusheng BAO, Chen WANG, Xiaoming YUAN, Yan YIN, Shirong GE, Maosen WANG, Yuhan LV

“…In order to solve this problem, it is necessary to research and develop efficient and accurate mapping algorithms to support the safety and reliability of unmanned underground operation. …”
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Scalable Discrete Event Simulation Tool for Large-Scale Cyber-Physical Energy Systems: Advancing System Efficiency and Scalability by Khandaker Akramul Haque, Shining Sun, Xiang Huo, Ana E. Goulart, Katherine R. Davis

“…Using three well-established power system synthetic cases with 500, 2000, and 10,000 buses, we overlay a constructed cyber network employing star and radial topologies. …”
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Research on coal mine robot positioning algorithm based on integration of ORB-SLAM3 vision and inertial navigation by Wei CHEN, Shuaida WU, Zijian TIAN, Fan ZHANG, Yi LIU

“…Through the method of triangulation at the back end, the pixel depth information is obtained, and the 2D-2D pose solving problem is transformed into 3D-2D (pnp) pose solving problem. …”
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Analysis of the Influence Characteristics of the Support Stability of a Fully Mechanized Coal Mining Face under the Hard Roof Mining Pressure by Jiaxin Dang, Min Tu, Xiangyang Zhang, Qingwei Bu

“…At present, nearly 40% of fully mechanized mining faces that belong to the hard roof working face has the problem of mining in the hard roof working face. This has a serious impact on the load-bearing stability of the fully mechanized support, and it is urgent to solve the problem of strong underground pressure dynamic disaster under the condition of the hard roof. …”
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DIFFERENTIATED APPROACH TO THE PRESERVATION OF THE ROOTS OF TEETH AND THEIR USE IN DENTAL PROSTHETICS by S.V. Irkha

“… Actuality of theme. The problem of the maximum preservation of decayed teeth is the practical importance for the prevention of deformities dentition and alveolar process atrophy. …”
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Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles by Guobing XIE, Wei HE, Wangwen HU, Yixin Su, Binghua SHI

“…Next, an objective function is constructed for solving the multi-objective path planning problem, and the weights are set to balance the relationship among the safety index, the energy consumption, the tortuosity, so as to providing diversified path to meet the requirement for different scenarios, moreover adaptively adjust the increment of pheromone to strengthen the influence of high-quality path in the whole ants colony based on the pros and cons of the planed paths. …”
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Analysis dynamic characteristics brushless motor of the mechatronic system in conditions of parametric uncertaintyby computer simulation methods by N. A. Malev, O. V. Pogoditsky, O. V. Kozelkov, A. M. Dyuryagin

“…It is expedient to use the results obtained in the course of the study when constructing an optimal control algorithm for a mechatronic system under conditions of parametric uncertainty.…”
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TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables) by QI Junyan, CHE Yuhao, WANG Lei, YUAN Ruifu

“…In the problem of anchor bolt (cable) stress prediction in coal mine roadways, model training often involves complex optimization tasks such as hyperparameter tuning and learning rate selection. …”
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Deterministic compartmental model for optimal control strategies of Giardiasis infection with saturating incidence and environmental dynamics by Stephen Edward, Nyimvua Shaban

“…The study begins by constructing a model incorporating four constant controls: health education, screening, hospitalization, and sanitation. …”
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Bi-level coordinated operation strategy of an active distribution system with load aggregators by Mengjun Shen, Lingling Wang, Zongxiang Lu

“…Furthermore, the nonlinear variables in the model are linearized by Fortuny-Amat transformation and strong duality condition. Finally, the MPEC problem is transformed into a single mixed-integer linear programming model. …”
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Radio frequency based distributed system for noncooperative UAV classification and positioning by Chaozheng Xue, Tao Li, Yongzhao Li

“…With the increasing popularity of civilian unmanned aerial vehicles (UAVs), safety issues arising from unsafe operations and terrorist activities have received growing attention. To address this problem, an accurate classification and positioning system is needed. …”
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Enhancing Image Denoising Performance of Bidimensional Empirical Mode Decomposition by Improving the Edge Effect by Feng-Ping An, Da-Chao Lin, Xian-Wei Zhou, Zhihui Sun

“…Bidimensional empirical mode decomposition (BEMD) algorithm, with high adaptive ability, provides a suitable tool for the noisy image processing, and, however, the edge effect involved in its operation gives rise to a problem—how to obtain reliable decomposition results to effectively remove noises from the image. …”
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Neighbor interaction-based personalised transfer for cross-domain recommendation by Kelei Sun, Yingying Wang, Mengqi He, Huaping Zhou, Shunxiang Zhang

“…Moreover, a meta-network based on users' transferable features is trained to construct personalised mapping functions for each user. …”
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Enhanced Sub-graph Reconstruction Graph Neural Network for Recommendation by Zhe Liu, Xiaojun Lou, Jian Li, Guanjun Liu

“…To solve this problem, we propose an enhanced sub-graph reconstruction graph neural network for recommendation (SRCF), using a heterogeneous graph neural network based encoder-decoder learn potential relationships between users (or items), and reconstruct sub-graphs based on those relationships. …”
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Dual-Function Vector for Protein Expression in Both Mammalian Cells and Xenopus laevis Oocytes by T. Jespersen, M. Grunnet, K. Angelo, D.A. Klærke, S.-P. Olesen

“…Efficient expression of a protein in both systems have thus far only been possible by subcloning the cDNA into two different vectors because several different molecular requirements should be fulfilled to obtain a high protein level in both mammalian cells and oocytes. To address this problem, we have constructed a plasmid vector, pXOOM, that can function as a template for expression in both oocytes and mammalian cells. …”
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Zero-Sum Game-Based Tracking Control for Fully-Coupled Nonaffine AUV With Unknown Affine Disturbance Using Critic Network by Gaofeng Che, Xiaoqiang Hu

“…Secondly, the error system is constructed based on the reference trajectory. Then, the trajectory-tracking control problem of FCNAUV with unknown affine disturbance is formulated as the TPZSG. …”
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Adaptive prescribed performance estimator for Hammerstein-like system identification based on quantized observations and its application by Huijie Lei, Yanwei Zhang, Xikun Lu

“…Firstly, a low-pass filter and forcing variables are developed to construct the transient performance error expression. …”
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YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8 by Hao Hao, Xiang Yu

“…The aluminum laminate pouch of pouch batteries is highly prone to deformation, which can cause various surface defects, thereby affecting their service life and potentially posing safety hazards. To address this problem, we propose an algorithm named YOLOv8-UCB for detecting surface defects in pouch batteries, which is based on the YOLOv8 model. …”
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Heterogeneous Graph Neural-Network-Based Scheduling Optimization for Multi-Product and Variable-Batch Production in Flexible Job Shops by Yuxin Peng, Youlong Lyu, Jie Zhang, Ying Chu

“…In view of the Flexible Job-shop Scheduling Problem (FJSP) under multi-product and variable-batch production modes, this paper presents an intelligent scheduling approach based on a heterogeneity-enhanced graph neural network combined with deep reinforcement learning. …”
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