A Midcourse Guidance Method Combined with Trajectory Prediction for Antinear-Space-Gliding Vehicles by JiaQing Wan, Qian Zhang, Hao Zhang, JiaNing Liu

“…The simulation results show that the trajectory-prediction method has high prediction accuracy and strong convergency for typical maneuver modes, and the proposed midcourse guidance algorithm meets the requirements of the zero-effort intercept manifold with the intersection angle constraints, which is of important theoretical significance and acts as a reference value for intercepting high-velocity maneuver targets.…”
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Quadrotor Trajectory Planning with Tetrahedron Partitions and B-Splines in Unknown and Dynamic Environments by Jiayu Men, Jesús Requena Carrión

“…Using computer simulations, we show that our algorithm can successfully find a collision-free and uncertainty-aware trajectory in an unknown and dynamic environment. …”
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An Optimal Routing Framework for an Integrated Urban Power–Gas–Traffic Network by Mohammad Jadidbonab, Hussein Abdeltawab, Yasser Abdel-Rady I. Mohamed

“…The integration of different energy systems allows operators to pursue optimal strategies in critical situations, such as facility outages, maintaining the system within a secure operational range without resorting to expensive workarounds. The proposed algorithm and integrated structure can select optimal travel routes to minimize gas-emission effects and locate charging options to reduce electric vehicle users’ travel time. …”
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Electric Ferry Fleet Peak Charging Power Schedule Optimization Considering the Timetable and Daily Energy Profile by Tomislav Peša, Maja Krčum, Grgo Kero, Joško Šoda

“…The proposed research aims to optimize the daily electric ferry fleet peak charging power schedule process using particle swarm optimization and a greedy algorithm. A four-stage model has been proposed, consisting of the initialization of the ferry fleet’s daily energy profile, initial population generation with input constraints, optimization, and the creation of the modified daily energy load diagram. …”
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An explainable predictive machine learning model of gangrenous cholecystitis based on clinical data: a retrospective single center study by Ying Ma, Man Luo, Guoxin Guan, Xingming Liu, Xingye Cui, Fuwen Luo

“…We aim to develop an explainable and cost-effective predictive model for GC utilizing ML and Shapley Additive explanation (SHAP) algorithm. Results This study included a total of 1006 patients with 26 clinical features. …”
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Single‐step geolocation for a non‐circular source in the presence of satellite orbit perturbations by Jiexin Yin, Ding Wang, Fuquan Nie, Nae Zheng

“…The authors propose a single‐step satellite geolocation algorithm that directly localises the transmitter from sensor outputs using the information of time delays and Doppler shifts but without explicitly estimating them. …”
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Holes Detection in Anisotropic Sensornets: Topological Methods by Wei Wei, Xiao-Lin Yang, Pei-Yi Shen, Bin Zhou

“…Extensive simulations have been shown that the algorithm even enables networks with low density to produce good results.…”
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Computer Vision-Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic-Based Investigation Metaheuristic by Nhat-Duc Hoang, Thanh-Canh Huynh, Van-Duc Tran

“…To optimize the SVC performance, the FBI algorithm is utilized to fine-tune the SVC hyperparameters. …”
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Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster by Huawei Yang, Pan Zhang, Peiwen Zhang, Chenxing Zhang, Xuxian Yan

“…Thirdly, Particle Swarm Optimization (PSO) is used to improve the Sparrow Search Algorithm (SSA) for further model solving. The results of the study show that the two-stage optimization framework can significantly improve the rescue efficiency and rationality of resource allocation, and achieve the goal of prioritising the distribution of emergency supplies to regions with high urgency; In addition, the results of the sensitivity analysis indicate that it is crucial to determine the optimal proportion of the total amount of supplies, and the validation shows that the overall operational efficiency of PSO- SSA is higher, which provides a more reliable approach to dealing with similar emergency problems.…”
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An intelligent humidity sensing system for human behavior recognition by Huabin Yang, Qiming Guo, Guidong Chen, Yuefang Zhao, Meng Shi, Na Zhou, Chengjun Huang, Haiyang Mao

“…With the assistance of a machine learning algorithm, a behavior recognition system based on the humidity sensor has been constructed, enabling behavior states to be classified and identified with an accuracy of up to 96.2%. …”
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Graph coarsening for fugitive interception by Irene S. van Droffelaar, Jan H. Kwakkel, Jelte P. Mense, Alexander Verbraeck

“…We compare four graph coarsening algorithms on five road networks and assess their impact on computation time and solution quality for the fugitive interception problem. …”
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Improvement of rock surface roughness accuracy by combining object space resolution error and 3D point cloud features by Jiang Yuan, Qing Wang, Qinzheng Yang, Yongqiang Fan, Weining Jiao

“…To enhance the accuracy of joint roughness coefficient (JRC) estimation in photogrammetry, this study employed a fixed-camera shooting strategy guided by a Structure-from-Motion-based shooting parameter selection algorithm to reconstruct 3D models of rock samples at 16 different shooting distances. …”
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Subpixel stacking and detection of blurred star images observed by an astroinertial attitude sensor against the background of the daytime sky by N.N. Vasilyuk

“…This paper considers an algorithm for accumulating the sequence of frames, implemented as a multichannel accumulator, consisting of several accumulative channels of the same type, and operating in parallel. …”
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The Effect of Effective Factors on Consumer Behavior in Iran\'s Best Shopping Centers Based on the Principles of Urban Management by mahmood samadi, mahmoud nooraei, Mohammad mehdi Mozaffari, babak haji karimi

“…The method of selecting shopping centers based on artificial intelligence studies has been done through genetic algorithm. The criteria for choosing the centers are optimal according to the principles of urban management. …”
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Optimizing D2D Communication With Practical STAR-RIS and Irregular Configurations by Jung-Chieh Chen, Ting-Han Hsu

“…Simulation results reveal that the proposed CEO-based algorithm achieves significantly higher sum rates compared to the benchmark algorithms. …”
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Privacy-Preserving Efficient Data Retrieval in IoMT Based on Low-Cost Fog Computing by Na Wang, Yuanyuan Cai, Junsong Fu, Jie Xu

“…In addition, this paper uses range tree to build an index for storing physiological data vectors, and meanwhile a range retrieval method is also proposed to improve data search efficiency. Finally, bat algorithm (BA) is designed to allocate cost on a fog server group for significant energy cost reduction. …”
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Minimum-Cost QoS-Constrained Deployment and Routing Policies for Wireless Relay Networks by Frank Yeong-Sung Lin, Chiu-Han Hsiao, Kuo-Chung Chu, Yi-Heng Liu

“…In the planning stages, we not only derive a multicast tree routing algorithm to both determine and fulfill the QoS requirements to enhance throughput, but we also utilize the Lagrangian relaxation (LR) method in conjunction with optimization-based heuristics and conduct computational experiments to evaluate the performance. …”
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Analysis of the Response of Urban Water Consumption to Climatic Variables: Case Study of Khorramabad City in Iran by Omid Hamidi, Hamed Abbasi, Hamid Mirhashemi

“…In this study, several models including zero-order Pearson’s correlation coefficient, first-order Pearson’s correlation, generalized additive model (GAM), generalized linear model (GLM), support vector machine (SVM-Nu), and simplex optimization algorithm were used in order to identify linear/nonlinear reactions of monthly water consumption to the individual and combined associations of meteorological variables (temperature, air pressure, and relative humidity) in Khorramabad city. …”
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Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines by Bo Jin, Song Yang, Qingyuan Wang, Xiaoyun Feng

“…The results show that, for the single-section train control problem, the proposed coasting control algorithm can achieve significant energy-saving effects compared to the practical trajectory and calculate energy-saving trajectory in shorter computation times compared to the dynamic programming method. …”
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Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers by Arpit Pandey, Sridharan Naveen Venkatesh, Prabhakaranpillai Sreelatha Anoop, B. R. Manju, Vaithiyanathan Sugumaran

“…Empirically, the research achieved 97.92% accuracy using the local weighted learning (LWL) algorithm, demonstrating the effectiveness of combined statistical, histogram, and ARMA features in enhancing TPMS predictive capabilities.…”
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