Task Allocation and Path Planning Method for Unmanned Underwater Vehicles by Feng Liu, Wei Xu, Zhiwen Feng, Changdong Yu, Xiao Liang, Qun Su, Jian Gao

“…Second, an improved RRT* algorithm termed GR-RRT* is employed for UUV path planning. …”
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UAV Robust Strategy Control Based on MAS by Jian Han, Changhong Wang, Guoxing Yi

“…Prim potential algorithm, particle swarm algorithm, and reallocation mechanism are proposed to realize the rational decomposing and optimal allocation in order to reach the maximum profit. …”
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Multi-UAV assisted air-to-ground data collection for ground sensors with unknown positions by Cheng Yiran, Dong Yangrui

“…Continuing from obtaining the sensor coordinates, to enhance the efficiency of multi-UAV cooperative tasks, we propose a classification algorithm based on minimum distances. …”
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The Bridge between Screening and Assessment: Establishment and Application of Online Screening Platform for Food Risk Substances by Kang Hu, Shaoming Jin, Hong Ding, Jin Cao

“…The screening comparison algorithm, the core of the screening model, is obtained through the improvement of the existing spectral library search algorithm. …”
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A Design of Irregular Grid Map for Large-Scale Wi-Fi LAN Fingerprint Positioning Systems by Jae-Hoon Kim, Kyoung Sik Min, Woon-Young Yeo

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Truncated Modular Exponentiation Operators: A Strategy for Quantum Factoring by Robert L. Singleton Jr

“… Modular exponentiation (ME) operators are one of the fundamental components of Shor's algorithm, and the place where most of the quantum resources are deployed. …”
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Stress triggering mechanism of strong mine earthquake in huge thick strata revealed by inversion of joint source rupture information by Yao YANG, Anye CAO, Yaoqi LIU, Xianxi BAI, Changbin WANG, Chengchun XUE, Qiang WANG

“…The results show that the PCA can extract the key information of complex waveforms, and applied to the HMTI can significantly reduce the error between the theoretical and observed amplitudes of waveforms, and ensure the accuracy of the source rupture information used for stress inversion. The improved algorithm meets the requirements of typical tension, compression and composite rupture source, and can reduce the error from 60% to less than 20%, which verifies the reasonableness of the algorithm applied to the complex rupture source stress field inversion in coal mine. …”
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The Shapley Value in Data Science: Advances in Computation, Extensions, and Applications by Lei Qin, Yingqiu Zhu, Shaonan Liu, Xingjian Zhang, Yining Zhao

“…To address the inherent computational challenges of exact calculation, we discuss model-agnostic approximation techniques, such as Random Order Value, Least Squares Value, and Multilinear Extension Sampling, as well as specialized fast algorithms for linear, tree-based, and deep learning models. …”
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Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization by Caleb Koresh, Volkan Ustun, Rajay Kumar, Tim Aris

“…Multi-agent Reinforcement Learning (MARL) models teams of agents that learn by dynamically interacting with an environment and each other, presenting opportunities to train adaptive models for team-based scenarios. However, MARL algorithms pose substantial challenges due to their immense computational requirements. …”
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The Artificial Intelligence and the dispute for different ways in its predictive use in the criminal process by Rodrigo Régnier Chemim Guimarães

“…Given the delicate cooperation that must exist between experts in criminal procedure and knowledge engineers in the selection and construction of the algorithms that will teach the machine for the preparation of the predictive research, which one would be appropriate? …”
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Multi-Ground Station Collaborative Measurement and Control Technology for Giant Constellation System by Yang LIU, Di ZHOU, Min SHENG, Jiandong LI, Shiguang HAO, Xiaotian ZHENG

“…Measurement and control technology is the key technology to ensure the effi cient operation, maintenance and management of the constellation system.In recent years, with the continuous expansion of the constellation scale, mega-constellation system has gradually formed, which makes the demand for constellation measurement and control show an explosive growth, which puts forward new requirements for the completion of the constellation system measurement and control tasks.Firstly, the constraints of the megaconstellation system measurement and control tasks and the equipment constraints of the ground measurement and control station were analyzed, and the problem modeling was given; Secondly, an interaction method of the ground station agent based on the learning planning segment was proposed, by introduced the constraint penalty operator and the multi-ground station joint the penalty operator was designed to optimized the objective function.Finally, a multi-ground station Agent reinforcement learning algorithm was proposed to solved the multi-ground station cooperative task assignment strategy.Simulation experiments showed that when the task scale was large, the method had a gain of 12%~20% compared with the traditional algorithm in the diff erent scenarios mentioned.…”
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Multi-Ground Station Collaborative Measurement and Control Technology for Giant Constellation System by Yang LIU, Di ZHOU, Min SHENG, Jiandong LI, Shiguang HAO, Xiaotian ZHENG

“…Measurement and control technology is the key technology to ensure the effi cient operation, maintenance and management of the constellation system.In recent years, with the continuous expansion of the constellation scale, mega-constellation system has gradually formed, which makes the demand for constellation measurement and control show an explosive growth, which puts forward new requirements for the completion of the constellation system measurement and control tasks.Firstly, the constraints of the megaconstellation system measurement and control tasks and the equipment constraints of the ground measurement and control station were analyzed, and the problem modeling was given; Secondly, an interaction method of the ground station agent based on the learning planning segment was proposed, by introduced the constraint penalty operator and the multi-ground station joint the penalty operator was designed to optimized the objective function.Finally, a multi-ground station Agent reinforcement learning algorithm was proposed to solved the multi-ground station cooperative task assignment strategy.Simulation experiments showed that when the task scale was large, the method had a gain of 12%~20% compared with the traditional algorithm in the diff erent scenarios mentioned.…”
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Integrated Vibration Control of In-Wheel Motor-Suspensions Coupling System via Dynamics Parameter Optimization by Wei Wang, Mu Niu, Yuling Song

“…Based on artificial fish swarm algorithm (AFSA), a novel dynamics parameter optimization method is proposed to search the optimal parameter combination existing in the nonlinear dynamics model. …”
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Key technologies of robotic arm motion control based on compound control and improved SCSO. by Kuo Hu

“…To meet the high-precision motion control demand, this study proposes a robotic arm motion control technology integrating composite control and an improved sandcat swarm optimization algorithm. …”
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A Random Compressive Sensing Method for Airborne Clustering WSNs by Wei Zhou, Bo Jing, Yifeng Huang

“…Aimed at improving the reconstruction performance of this scheme, this paper puts forward a new MP reconstruction method based on composite chaotic-genetic algorithm, which combines the excellent local searching characteristics of chaos theory with the powerful global search ability of genetic algorithm. …”
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Intelligent control method of robot based on angle of attack feedback for energy efficiency optimization by WANG Tianzhu, LIU Jiayin, HAN Song, CHE Honglei, SHI Congling

“…Firstly, the kinematic characteristics of the designed robotic dolphin was analyzed to clarify the hardware basis of the algorithm. Secondly, in view of the problem that the caudal fin motor cannot effectively cooperate with the lumbar joint motor during high-frequency movement, a joint angle control algorithm based on fuzzy reasoning was proposed to realize the tracking of the expected joint angle by the caudal fin joint in the torque mode. …”
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Efficient sensor network planning based on approximate potential games by Su-Jin Lee, Young-Jin Park, Han-Lim Choi

“…The selection algorithm is based on the correlation between one agent’s and the other agents’ measurement selection. …”
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Energy Aware Optimal Resource Allocation in Backhaul Constraint Wireless Networks: A Two Base Stations Scenario by Yuan Gao, Peng Xue, Yi Li, Hongyi Yu, Xianfeng Wang, Shihai Gao

“…An energy efficient algorithm based on alternating optimization strategy and perfect mapping is proposed to solve this mixed integer programming problem. …”
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Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

“…This module makes it possible to approximately determine the intensity and positions of diffraction maxima, from which the phase composition of the powders under study can be determined, and with known corundum numbers, the quantitative composition can be determined. …”
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The Debut of Inflammatory Musculoskeletal Pathology in Patients Receiving Anticancer Therapy with PD-1/PD-L1 Pathway Inhibitors by A. D. Koltakova, A. M. Lila, O. G. Alekseeva, A. A. Fedenko, Y. V. Gridneva, A. S. Olshanskaya

“…Additional studies and close cooperation between rheumatologists and oncologists are needed to obtain a more complete understanding of the nature and spectrum of musculoskeletal AEs, to identify their clinical, laboratory and instrumental features, and to develop an management of patients algorithm.…”
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