Physical Defense Planning Against Voltage Distortion Attacks in Active Distribution Grids by Kirill Kuroptev, Sina Hajikazemi, Florian Steinke

Get full text

An Improved Spider Wasp Optimizer for Green Vehicle Route Planning in Flower Collection by Mengxin Lu, Shujuan Wang

Get full text

Unmanned Surface Vessel Cluster Path Planning Based on Deep Reinforcement Learning by Manjiang YU, Jiawei HE, Bowen XING

“…Firstly, a long and short-term memory module was introduced based on the multi-agent deep deterministic policy gradient algorithm to enhance the ability of the USVs to utilize the temporal information in path planning; secondly, a multi-level representational experience pool was designed to improve the training efficiency and data utilization and reduce the interference between different experiences; finally, stochastic network distillation was used as a curiosity mechanism to provide intrinsic rewards for the USVs to explore new regions and solve the convergence due to the sparse rewards. …”
Get full text

Significance of individual management plan for the patients with hereditary lymphangioedema during pregnancy and lactation, and in newborns by E. N. Bobrikova, A. R. Denisova, T. S. Kotomina, S. A. Serdotetskova, D. S. Fomina

“…Adapted diagnostic algorithms of postnatal diagnostic verification are presented for children with burdened genetic history. …”
Get full text

Modified Particle Swarm Optimization for Engineering Optimization Problems and UAV Path Planning by Xing Zhang, Gaoquan Gu, Cunsheng Zhao

Get full text

A branch-and-price solution strategy for integrated process planning and scheduling problems by Dung-Ying Lin, Che-Hao Chen

“…This research investigates the integrated process planning and scheduling (IPPS) problem that considers process planning and production scheduling simultaneously with the aim of minimizing makespan. …”
Get full text

Collision-Free Path Planning for Multiple Drones Based on Safe Reinforcement Learning by Hong Chen, Dan Huang, Chenggang Wang, Lu Ding, Lei Song, Hongtao Liu

Get full text

A trajectory planning and tracking method based on deep hierarchical reinforcement learning by Jiajie Zhang, Bao-Lin Ye, Xin Wang, Lingxi Li, Bo Song

Get full text

Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

“…Abstract To address the issues of low discovery probability, inefficient search, and antagonistic targets during the process of dynamic target search in the ocean, a dynamic target search path planning method based on the Glasius biologically-inspired neural network (GBNN) in combination with marine environmental information is proposed. …”
Get full text

3D Voxel-based Collaborative Path Planning for UAVs in Urban Emergency Response by Z. Wu, Z. Wang, W. Xie, Z. Lin, Y. Wu, Y. Mo

Get full text

Fast and Efficient Drone Path Planning Using Riemannian Manifold in Indoor Environment by Rohit Dujari, Brijesh Patel, Bhumeshwar K. Patle

Get full text

Dynamic Camera Planning for Robot-Integrated Manufacturing Processes Using a UAV by Marius Boshoff, Bernd Kuhlenkötter, Paul Koslowski

“…The optimal viewpoint for monitoring robotic production processes is crucial for maintenance, inspection, and error handling, especially in large-scale production facilities, as it maximizes visual information. This paper presents a method for dynamic camera planning using an Unmanned Aerial Vehicle (UAV), enabling collision-free operation and measurable, high perspective coverage for a user-defined Region of Interest (ROI). …”
Get full text

Optimizing Aircraft Routes in Dynamic Conditions Utilizing Multi-Criteria Parameters by Oleh Sydorenko, Nataliia Lysa, Liubomyr Sikora, Roman Martsyshyn, Yuliya Miyushkovych

Get full text

A Hybrid Deep Learning Model for UAV Path Planning in Dynamic Environments by Junchi Zhang, Yanning Xian, Xun Zhu, Hongtao Deng

“…In practical missions, UAVs are usually operated in unpredictable conditions, requiring robust planning to adapt to real-time changes. Thus, an effective path-planning algorithm is essential for navigating UAVs through complex terrains. …”
Get full text

CPP: a path planning method taking into account obstacle shadow hiding by Ruixin Zhang, Qing Xu, Youneng Su, Ruoxu Chen, Kai Sun, Fengchang Li, Guo Zhang

“…Comparative analysis showed that CPP significantly outperformed five other algorithms—RRT, Improved B-RRT, RRT*, Informed RRT*, and Potential Field-by reducing running time by 46.01% to 93.3%, increasing path safety by 10.42% to 83.44%, and improving path smoothness, making it particularly effective for path planning in tactical scenarios involving unmanned vehicles.…”
Get full text

Multi-UAV Collaborative Target Search Method in Unknown Dynamic Environment by Liyuan Yang, Yongping Hao, Jiulong Xu, Meixuan Li

Get full text

Evaluation of the Deep Q-Learning Models for Mobile Robot Path Planning Problem by Mehmet Gök

“…Search algorithms such as A* or Dijkstra are generally used to solve the path planning problem for mobile robots. …”
Get full text

Qualitative insights into planning implementation of FeNO-guided asthma management in primary care by G. Lewis, K. Morton, M. Santillo, L. Yardley, K. Wang, B. Ainsworth, S. Tonkin-Crine

“…Overall, participants perceived FeNO-informed asthma management would enhance care, if used appropriately and flexibly according to context, for example planning implementation alongside remote reviews. …”
Get full text

APPLICATION OF THE WORD2VEC ALGORITHM FOR CLINICAL DIAGNOSIS DETERMINATION by Uzeyir Gurbanli

“…Enhancing the quality and accessibility of medical services necessitates the utilization of modern technologies, mathematical methods, and the capabilities of artificial intelligence, alongside the development of comprehensive information systems. The paper proposes methods for analyzing and applying tools to assist physicians in diagnosing conditions and determining treatment plans with the help of artificial intelligence. …”
Get full text

Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…To meet the practical needs of urban green space planning and management, this research conducts digital simulations of the geometric forms and attribute information of green space plants, and proposes directions for further improvement of green space information models, including the construction of modeling standards, the development of sharing platforms, and the research on generative algorithms.ResultsThe structures and characteristics of green space plants differ from those of other urban components, and their digital representation methods need to be explored based on the spatial morphological features of the vegetation in green spaces. …”
Get full text