FADQN: A Heuristic Reinforcement Learning Mechanism for UAV Path Planning in Unknown Environment by Wei Sun, Jing Huan, Qi Wang, Hualong Yu, Shang Gao

“…Path planning remains a focal point in Unmanned Aerial Vehicle (UAV) research, with autonomous path planning in unknown environments emerging as a particularly active area. …”
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Multitask semantic change detection guided by spatiotemporal semantic interaction by Yinqing Wang, Liangjun Zhao, Yueming Hu, Hui Dai, Yuanyang Zhang

“…To address this issue, this study proposes a network that guides multitask semantic change detection through spatiotemporal semantic interaction (STGNet). …”
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Sparse support path generation for multi-axis curved layer fused filament fabrication by Tak Yu Lau, Dong He, Yamin Li, Yihe Wang, Danjie Bi, Lulu Huang, Pengcheng Hu, Kai Tang

“…Firstly, the overhang regions are detected by identifying the overhang points given a multi-axis nozzle path. Then, an optimization framework for the support guide curve is proposed to minimize its total length while ensuring that overhang filaments can be stably supported. …”
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PathCrisp: an innovative molecular diagnostic tool for early detection of NDM-resistant infections by Shrigouri Patil, Annes Siji, Dhrithi Mallur, B. S. Kruthika, Nazneen Gheewalla, Shraddha Karve, Maithili Kavathekar, Bansidhar Tarai, Mandar Naik, Vandana Hegde, Jayaprada Rangineni, Vaijayanti Gupta, Vijay Chandru, Bulagonda Eswarappa Pradeep, Reety Arora

“…Our study aims to develop a rapid, accurate molecular detection system that can be used directly from culture, thereby introducing molecular testing in conjunction with culture tests to reduce turnaround time and guide therapy. PathCrisp assay, a combination of loop-mediated isothermal amplification and CRISPR-based detection, maintained at a single temperature, was designed and tested on clinical isolates. …”
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Fast Transmission Matrix Measurement of a Multimode Optical Fiber With Common Path Reference by Raphael Florentin, Vincent Kermene, Agnes Desfarges-Berthelemot, Alain Barthelemy

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The electromagnetic transient simulation acceleration algorithm based on delay mitigation of dynamic critical paths by Qi Guo, Yuanhong Lu, Jie Zhang, Jingyue Zhang, Libin Huang, Haiping Guo, Tianyu Guo, Liang Tu

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Mitigating spatial hallucination in large language models for path planning via prompt engineering by Hongjie Zhang, Hourui Deng, Jie Ou, Chaosheng Feng

“…We introduce three key improvements: (1) To tackle the hallucination of spatial, we extract a graph structure of entities and relations from the text-based maze description, aiding LLMs in accurately comprehending spatial relationships. (2) To prevent LLMs from getting trapped in dead ends due to context inconsistency hallucination by long-term reasoning, we insert the state-action value function Q into the prompts, guiding the LLM’s path planning. (3) To reduce the token consumption of LLMs, we utilize multi-step reasoning, dynamically inserting local Q-tables into the prompt to assist the LLM in outputting multiple steps of actions at once. …”
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Hybrid Supervised and Reinforcement Learning for Motion-Sickness-Aware Path Tracking in Autonomous Vehicles by Yukang Lv, Yi Chen, Ziguo Chen, Yuze Fan, Yongchao Tao, Rui Zhao, Fei Gao

“…The proposed HSRL employs expert data-guided supervised learning to rapidly optimize the path-tracking model, effectively mitigating the sample efficiency bottleneck inherent in pure Reinforcement Learning (RL). …”
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ZPTM: Zigzag Path Tracking Method for Agricultural Vehicles Using Point Cloud Representation by Shuang Yang, Engen Zhang, Yufei Liu, Juan Du, Xiang Yin

“…A nonlinear feedback function was established, using both lateral and heading errors as inputs for determining the desired heading angle of agricultural vehicles, which were guided along the local target path with minimal errors. …”
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Improved Hybrid A* Algorithm Based on Lemming Optimization for Path Planning of Autonomous Vehicles by Yong Chen, Yuan Liu, Wei Xu

“…Path planning for autonomous vehicles is a core component of intelligent transportation systems, playing a key role in ensuring driving safety, improving driving efficiency, and optimizing the user experience. …”
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Monitoring the growth of social and emotional competence to guide practice decisions by Valerie B. Shapiro, Bo-Kyung Elizabeth Kim, Jennifer L. Robitaille, Joseph L. Mahoney, Juyeon Lee, Paul A. LeBuffe

“…Data for both case studies are derived from a district-wide implementation of an evidence-based SEL program, Promoting Alternative THinking Strategies (PATHS), that used the DESSA-mini to assess the SEC of 7681 students in Grades K-5 at three time points over a school year. …”
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PSYCHOLOGICAL GUIDING OF STUDENTS’ INDIVIDUAL EDUCATIONAL TRAJECTORIES IN VOCATIONAL SCHOOL by Evald F. Zeer, Oksana S. Popova

“…The semantic value of such guiding implementation developed by the authors performs structural and substantial model of the process. …”
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Vector Field-Based Guidance for Planar Smooth Path Following of a Small Unmanned Helicopter by Yang Chen, Wei Zeng, Yongliang Wu

“…The comparison shows that the proposed method can guide the helicopter to follow the predefined path most smoothly. …”
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Extreme Learning-Based Robust Adaptive Path Tracking Control of Underactuated Unmanned Surface Vessel by Xinyu HE, Ning WANG, Haojun WU

“…Firstly, the surge-guided line-of-sight guidance law was used to guide the surge speed and heading angle at the same time, so as to avoid the singularity of the guidance process and make the USV converge to the desired path quickly. …”
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Unmanned Aerial Vehicle Path Planning Based on Sparrow-Enhanced African Vulture Optimization Algorithm by Weixiang Zhu, Xinghong Kuang, Haobo Jiang

“…SAVOA achieves the optimal path in all scenarios, verifying the efficiency and superiority of the algorithm in UAV logistics path planning.…”
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Feedrate Fluctuation Minimization for NURBS Tool Path Interpolation Based on Arc Length Compensation and Iteration by Xing Liu, Pengxin Yu, Haiduo Chen, Bihui Peng, Zhao Wang, Fusheng Liang

“…A computationally efficient and precise feedrate fluctuation minimization method is proposed for the NURBS tool path interpolation in the CNC milling process. The model for the arc length and curvature, with respect to the parameter of the NURBS tool path, is established to reduce the calculation amount required by interpolation points determination. …”
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Density-Based Detection Rapid Exploration Random Tree for Multirobot Formation Cooperative Path Planning by Yuzhuo Shi, Yang Yang, Jinjun Liu, Kun Hao, Jiale Zhao, Haoyi Chai

“…The simulation results show that the proposed strategy can provide high-quality paths for robot formations in multiple obstacle areas and guide robot formations to avoid various local obstacles quickly through formation transformation.…”
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An Enhanced Deep Q Network Algorithm for Localized Obstacle Avoidance in Indoor Robot Path Planning by Cheng Chen, Jiantao Yu, Songrong Qian

“…Path planning is a key task in mobile robots, and the application of Deep Q Network (DQN) algorithm for mobile robot path planning has become a hotspot and challenge in current research. …”
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The Impact of Training on the Employees’ Career Path Development Case of the Algerian company: Oran Port Enterprise by Miss Bessaim Radia, Mrs Gadi Ibtissem

“…Our sample contained 50 employees, we relied the descriptive analytical approach, a set of tools were used which is: observation, interview guide, questionnaire, in addition to the internal documents, the result of study assured that training contributes to drawing employees’ career path, by gaining knowledge and experience and thus occupying several positions and jobs in the company, the study concluded the following recommendations: providing sufficient period to train employees, involve all stakeholders in the process of designing the training plan, relying on training as basis for promotion and internal recruitment, and thus reducing costs. …”
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Modeling and analysis of vehicle path dispersion at signalized intersections using explainable backpropagation neural networks by Jing Zhao, Ruoming Ma, Jian Sun, Rongji Zhang, Cheng Zhang

“…In contrast, the path dispersion of the left turn is mainly affected by the number of exit lanes, the left-turn angle, and the setting of guide lines.…”
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