On precise path planning algorithm in wireless sensor network by Farhanda Javed, Samiullah Khan, Asfandyar Khan, Alweena Javed, Rohi Tariq, Matiullah, Faheem Khan

“…The analysis of simulation results concludes that random way point has higher performance efficiency compared to rest of the static path planning algorithms concerning location error ratio (accuracy), energy consumption, and number of references in medium and dense node density scenarios. …”
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Sustainable Development is the only path to achieve the green economy by Ahmed Abou Elseoud

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Study On The Multi-Project Management Practices for Complex Investments by Mircea Sandru, Ionela Carmen Pirnea, Anca Purcărea, Ioana Surugiu, Jochen Schmid

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Topology optimization and forwarding strategy design for blockchain network by Ru HUO, Xiangfeng CHENG, Chuang SUN, Shuo WANG, Tao HUANG, Yu F.Richard

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Cu²⁺ and Zn²⁺ Ions Affecting Biochemical Paths and DNA Methylation of Rye (<i>Secale cereale</i> L.)... by Wioletta Monika Dynkowska, Renata Orłowska, Piotr Waligórski, Piotr Tomasz Bednarek

“…Alternatively, manipulating SAM, GSH, and Cad may improve green plant regeneration efficiency in rye.…”
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Synthesis of symmetric paths of arbiter physically unclonable function on FPGA by A. A. Ivaniuk

“…The article presents a new architecture of symmetric paths of the arbiter PUF, allowing efficient use of hardware resources of LUT-blocks for various FPGA families.…”
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Systematic Literature Review on Adjustable Robust Shortest Path Problem by Wida Nurul Fauziyah, Diah Chaerani, Herlina Napitupulu

“…In real-world optimization problems, effective path planning is important. The Shortest Path Problem (SPP) model is a classical operations research that can be applied to determine an efficient path from the starting point to the end point in a plan. …”
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Research on AGV Path Planning Based on Improved DQN Algorithm by Qian Xiao, Tengteng Pan, Kexin Wang, Shuoming Cui

“…Then, a refined multi-objective reward function is designed, combined with direction guidance, step punishment, and end point reward, to effectively guide the agent in learning an efficient path. Our experimental results show that, compared with other algorithms, the improved algorithm proposed in this paper achieves a higher success rate and faster convergence in the same environment and represents an efficient and adaptive solution for reinforcement learning for path planning in complex environments.…”
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Three-Dimensional Path Planning of AUVs in Dynamic Obstacle Environments by Chaoyang CHEN, Yute TANG, Yi HUANG, Zhiqun LIU

“…By optimizing the network architecture and designing an efficient reward function, the AUV path planning efficiency and accuracy were significantly improved. …”
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NET-ZERO ENERGY BUILDINGS: A PATH TO SUSTAINABLE LIVING by Chidebe Stanley Anyanwu, Oluwadayomi Akinsooto, Olorunshogo Benjamin Ogundipe, Samuel Ikemba

“…This review explores the concept of NZEBs as a path to sustainable living, highlighting key principles, benefits, and challenges. …”
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Stability module of path compression for on-demand ad hoc routing by XU Jia, LI Zhi, ZHOU Yao, LIU Feng-yu

“…The dynamic, real-time stable compression period probabilistically based on dynamic path compression model was calculated.A stability module of path compression techniques（SMPC） was proposed which could restrain the blindness for path compression efficiently and improve the stability of routes, by using based on GPS and SMPC-MS based on the compression coverage to lessens the ephemeral short-cuts and multiple short-cuts.The simulation results show that the path compression techniques by SMPC achieve low control overhead and end-to-end delay compared with both AODV and PCA.It is a generic and efficient stability module of path compression techniques for on-demand ad hoc routing.…”
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Application of Optimal Control Method to Path Tracking Problem of Vehicle by Yingjie Liu, Enhao Wang

“…The results show that by decomposing the partial derivative of the NLP into the partial derivative of the original path optimization problem the computational complexity of the first order partial derivative of NLP is significantly reduced improving computational efficiency even more significantly.…”
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Associative Parallel Algorithm for Dynamic Update of the Shortest Paths Tree by A. S. Nepomniaschaya

“…The paper proposes an efficient associative algorithm for dynamic update of the shortest paths tree of a directed weighted graph after deleting an edge. …”
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Reactive Path Planning Approach for Docking Robots in Unknown Environment by Peng Cui, Weisheng Yan, Yintao Wang

“…However, when there are unknown obstacles in the work area, it becomes difficult to determine the feasible path for docking. This paper presents a reactive path planning approach named Dubins-APF (DAPF) to solve the path planning problem for docking in unknown environment with obstacles. …”
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Integrating path planning and task scheduling in autonomous drone operations by Ahmed KAMIL, Basim MAHMOOD

“…  The efficiency and adaptability of drone operations depend heavily on two critical components: path planning and task scheduling. …”
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The Path to Euro Adoption: a Case Study of Slovenia and Slovakia by DORINA CLICHICI

“…This paper aims to track the integration path into the euro area of Slovenia and Slovakia, and to find out the main lessons from these stories. …”
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Path Planning Approaches in Multi‐robot System: A Review by Semonti Banik, Sajal Chandra Banik, Sarker Safat Mahmud

“…ABSTRACT The essential factor in developing multi‐robot systems is the generation of an optimal path for task completion by multiple robots. To ensure effective path planning, this paper studies the recent publications and provides a detailed review of the path planning approaches to avoid collisions in uncertain environments. …”
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On-the-fly path planning for the design of compositional gradients in high dimensions by Samuel Price, Zhaoxi Cao, Ian McCue

“…In this work, it is demonstrated that this limitation can be overcome using a combination of on-the-fly sampling and a conjectured corollary of the lever rule for transformations of isothermal paths in arbitrary compositional dimensions. The effectiveness of this new method is quantitatively benchmarked, and it is found that it can be as much as 106 times more efficient than surrogate modeling.…”
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Distributed and Parallel Path Query Processing for Semantic Sensor Networks by Sung-Jae Jung, Dong-Min Seo, Seungwoo Lee, Hwan-Min Kim, Hanmin Jung

“…In this paper we propose a novel path querying scheme which uses RDF schema information. …”
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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

“…Experimental results demonstrate that the proposed task allocation mechanism and improved path planning algorithm exhibit significant advantages in task completion rate and path optimization efficiency.…”
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