Refined Path Planning for Emergency Rescue Vehicles on Congested Urban Arterial Roads via Reinforcement Learning Approach by Longhao Yan, Ping Wang, Jingwen Yang, Yu Hu, Yu Han, Junfeng Yao

“…Firstly, a rescue path planning environment for emergency vehicles on congested urban arterial roads based on the Markov decision process is established, which focuses on the architecture of arterial roads, taking the traffic efficiency and vehicle queue length into consideration of path planning; then, the prioritized experience replay deep Q-network (PERDQN) reinforcement learning algorithm is used for path planning under different traffic control schemes. …”
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Cluster-Based Flight Path Construction for Drone-Assisted Pear Pollination Using RGB-D Image Processing by Arata Kuwahara, Tomotaka Kimura, Sota Okubo, Rion Yoshioka, Keita Endo, Hiroyuki Shimizu, Tomohito Shimada, Chisa Suzuki, Yoshihiro Takemura, Takefumi Hiraguri

“…This paper proposes a cluster-based flight path construction method for automated drone-assisted pear pollination systems in orchard environments. …”
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Adaptive Bi-Directional RRT Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Vehicles in Complex Environments by Nan Li, Sang Ik Han

“…This adaptive approach reduces the randomness in sampling, improves the target-oriented nature of the search, and consequently enhances overall search efficiency. Additionally, a greedy path pruning algorithm is integrated to minimize the path length and reduce the number of points along the path. …”
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Research on Unmanned Aerial Vehicle Path Planning for Carbon Emission Monitoring of Land-Side Heavy Vehicles in Ports by Xincong Wu, Zhanzhu Li, Xiaohua Cao

“…The algorithm improves the search method of child nodes by eliminating nodes that collide with obstacles, thereby reducing the threat of path collisions. At the same time, the evaluation function is improved by introducing the average value and Gaussian distribution probability function into the heuristic function, enhancing the reliability of the evaluation function, reducing the length of the optimal path, and improving operational efficiency. …”
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Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration by Shripad V. Deshpande, Harikrishnan R, Babul Salam KSM Kader Ibrahim, Mahesh Datta Sai Ponnuru

“…Mobile robot path planning involves decision-making in uncertain, dynamic conditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. …”
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Path Tracking Control of Agricultural Automatic Navigation Vehicles Based on an Improved Sparrow Search-Pure Pursuit Algorithm by Junhao Wen, Liwen Yao, Jiawei Zhou, Zidong Yang, Lijun Xu, Lijian Yao

“…These metrics demonstrate significant improvements in path-tracking accuracy, pose correction speed, and path-tracking efficiency, indicating that the proposed algorithm can serve as a valuable reference for path-tracking research in complex agricultural environments.…”
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Violence prevention accelerators for children and adolescents in South Africa: A path analysis using two pooled cohorts. by Lucie D Cluver, William E Rudgard, Elona Toska, Siyanai Zhou, Laurence Campeau, Yulia Shenderovich, Mark Orkin, Chris Desmond, Alexander Butchart, Howard Taylor, Franziska Meinck, Lorraine Sherr

“…Policies promoting action on positive and supervisory caregiving and food security at home are likely to support further efficiencies in the delivery of INSPIRE.…”
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Presenting the Model of Aligning the Individual Development Program (IDP) with the Career Path, Based on the Foundation's data-theorizing Approach by Ali Kafami Ladani, Abdolali Keshtegar, Aleme Keikha

“…Also, since the success of the organization depends on the realization of the goals and needs of the individual and the organization in a balanced manner, and the methods proposed (individual development program and career path planning) each emphasize only one dimension (individual and organization), and it seems that the application of each alone will not lead to the realization of the desired results of the organization, And on the other hand, considering the studies conducted in the field and the lack of a comprehensive model that examines the individual's development plan in line with the needs of the organization, the results of this research will help organizations create a better fit between the job and the employee, ultimately leading to the efficiency and effectiveness of organizational activities.Case study The statistical population of this study consisted of 16 academic experts, scholars, and consultants in the field of human resources.Materials and Methods The sampling method for this research was non-probability and purposive, and data were collected using a semi-structured interview approach.Discussion and Results After conducting the initial semi-structured interviews, a set of initial themes was collected during the open coding process and categories were extracted from them; then, in the axial coding stage, the link between these categories was determined under the headings of causal conditions, axial phenomenon, strategies, contextual factors, intervening conditions, and consequences of aligning the individual development program with the career path in the form of the axial coding paradigm; and then, in the selective coding stage, the storyline was drawn and the initial model was calculated.ConclusionThe results showed that the causal factors for aligning the individual development program with the career path are: the necessity of job-employee fit, lack of structure in the learning and development process, speed of change, reduction in key organizational capabilities, and reduction in employee organizational belonging. …”
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Efficient Real-Time Pathfinding for Visually Impaired Individuals by Tadeh Ghahremanians, Hossein Mahvash Mohammadi

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Scalable high-efficiency metasurface-refractive retro-reflector by Quan Yuan, Qin Ge, Xiujuan Zou, Yi Zhang, Yuhang Yang, Boyan Fu, Ruoyu Lin, Boping He, Shuming Wang, Din Ping Tsai, Shining Zhu, Zhenlin Wang

“…Abstract A retroreflector, an optical device that reflects light back along its incident path, plays a crucial role in optics. However, achieving high-efficiency, large-area retroreflection in planar optical systems remains a persistent challenge, constrained by the bulky nature of traditional designs like corner cube mirrors and cat’s eye retroreflectors. …”
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A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions by Yanfei Liu, Hao Zhang, Hao Zheng, Qi Li, Qi Tian

“…With the increasing scale of UAV applications, finding an efficient and safe path in complex real-world environments is crucial. …”
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Balancing Prediction Accuracy and Explanation Power of Path Loss Modeling in a University Campus Environment via Explainable AI by Hamed Khalili, Hannes Frey, Maria A. Wimmer

“…For efficient radio network planning, empirical path loss (PL) prediction models are utilized to predict signal attenuation in different environments. …”
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Real time obstacle motion prediction using neural network based extended Kalman filter for robot path planning by Najva Hassan, Abdul Saleem P.K

“…Both Adam and stochastic gradient learning algorithms are used to train the neural network. The robot's path is re-planned based on the predicted obstacle path to ensure safe navigation. …”
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Experimental and theoretical investigation of the influence of tool paths and burnishing parameters on the quality of the burnished surface by magnetic assisted ball burnishing by Zsolt Kovács, Gábor Kónya, Balázs Markó, György Póka

“…The proposed simulation method is based on image processing, in which the machined surface is converted to an image. The theoretical path of the balls’ centerpoint and the contact surface are assigned with pixels. …”
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Underwater Invisible Light Communication Network with Beam Steering Technology for Dynamic Switching Between Aerial and Underwater Optical Paths by Kiichiro Kuwahara, Keita Tanaka, Ayumu Kariya, Shogo Hayashida, Takahiro Kodama

“…These findings suggest that selectively utilizing underwater and aerial optical paths based on channel conditions enables reliable and efficient data transmission, paving the way for next-generation underwater optical wireless communication networks.…”
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Public security patrol path planning recommendation method based on wolf-pack optimization algorithm using DAF and BRS by Dongxing Wang, Gaomin Zhang, Fangbo Wu, Zhiyang Huang, Yiping Chen

“…The results indicated that the time-spent of DAF-BRS-CWOA was shortened and the optimization accuracy is the highest as well as S3PRM-DAF-BRS-CWOA has the best effect and is more time-efficient for solving public safety patrol path planning.…”
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Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on Hybrid Multi-Strategy Dung Beetle Optimization Algorithm by Hongmei Fei, Ruru Liu, Leilei Dong, Zhaohui Du, Xuening Liu, Tao Luo, Jie Zhou

“…In complex environments, three-dimensional path planning for agricultural UAVs involves the comprehensive consideration of multiple factors, including obstacle avoidance, path optimization, and computational efficiency, which significantly complicates the achievement of safe and efficient flight. …”
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Dynamic path planning of UAV with least inflection point based on adaptive neighborhood A* algorithm and multi-strategy fusion by Longyan Xu, Mao Xi, Ren Gao, Ziheng Ye, Zaihan He

“…Abstract Planning a safe and efficient global path in a complex three-dimensional environment is a complex and challenging optimization task. …”
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The Optimization Path of VR Red Resource Reading Style under the Embodied Cognition: An Exploratory Study Based on Grounded Theory by Jia XU

“…By enhancing users' immersive experience, it promotes their deep cognition and emotional resonance of red resources in order to promote the innovative utilization and efficient dissemination of red resources. [Method/Process] Taking the grounded theory as the research method, we first carry out data collection and sample selection, then analyze the text materials through the three-level coding method of open coding, axial coding and selective coding, and finally randomly select one third of the samples from the materials to carry out the saturation test of the theoretical model, summarize the three main categories of reading guarantee mechanism, reading ecology and reading experience optimization, and construct the optimization of the VR red resource reading path model, and elaborate the model in detail. …”
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Leveraging RRT^*: Probabilistically Interpreted Mechanisms Enhanced With P-HOPE and FLEX-OPT for Complex Path Planning by Yujie Miao, Haiyang Liu, Ziqiang Zhang, Yanju Liang

“…In both narrow complex and large-scale map environments, the RRT<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula>-PRIME algorithm significantly outperforms the RRT<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula>, Informed-RRT<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula>, h-RRT<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula>, and PF-RRT<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula> algorithms in terms of reliability and efficiency. These results demonstrate the effectiveness of the RRT<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula>-PRIME algorithm as a robust and efficient solution for path planning in complex and large-scale environments.…”
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