The Dynamic Evolution of Industrial Electricity Consumption Linkages and Flow Path in China by Jinshi Wei

“…Furthermore, the transmission path analysis revealed differentiated characteristics of electricity influence transmission, with generally shorter internal paths within sectors, significant cross-sectoral transmission differences, and manufacturing demonstrating good transmission accessibility with moderate path distances to major sectors. …”
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Adaptive Deep Reinforcement Learning for Efficient 3D Navigation of Autonomous Underwater Vehicles by Elena Politi, Artemis Stefanidou, Christos Chronis, George Dimitrakopoulos, and Iraklis Varlamis

“…We adopt a multi-tier approach in order to validate the performance of the proposed DRL approach in three different neural network architectures leveraging on adaptation and accuracy, with path length, execution time and success of operation being considered as the optimization objectives. …”
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Swarm intelligence driven inverse design of slot patterns for sub-6 GHz 5G MIMO antennas in virtual reality applications by Shadman Fuad Bin Faruquee, Himel Bhuiyan, Md. Shafiul Alam, Sharnali Islam, Khaleda Ali

“…The inverse design concept is independently implemented in the slot arrangements of two different configurations of 2-element MIMO antennas: one in which the individual antenna components are placed in an antiparallel orientation, and the other in which they are arranged orthogonally. …”
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Time-Dependent Electric Vehicle Routing Problem with Time Windows and Path Flexibility by Li Wang, Shuai Gao, Kai Wang, Tong Li, Lin Li, Zhiyuan Chen

“…That is, the travel speed of an EV on each path may be different during different time periods, and thus, this paper explicitly considers path selection between two locations in the time-dependent electric vehicle routing problem with time windows, denoted as path flexibility. …”
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Data-driven identification and analysis of passenger riding paths in megacity metro system by Lianghui Xie, Zhenji Zhang, Robin Qiu, Daqing Gong

“…The identification and analysis of passenger riding paths between three different types of origin–destination) pairs reveal the complexity of passenger path choice. …”
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Smooth UAV Path Planning Based on Composite-Energy-Minimizing Bézier Curves by Huanxin Cao, Zhanhe Du, Gang Hu, Yi Xu, Lanlan Zheng

“…In existing smooth UAV path planning methods, different characteristics of a path curve are not considered comprehensively, and the optimization functions established based on the arc length or curvature of the path curve are complex, resulting in low efficiency and quality of path smoothing. …”
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Research on performance evaluation of ecological product value realization under the “Dual Carbon Goals” by Churui Yang, Pengxiang Wang, Rongxin Li, Miaoheng Zhang

“…This national provincial scale research design not only fills the gap in macro level performance evaluation, but also reveals the differences in location characteristics and institutional responses in the transformation of ecological product value in different regions.ResultsThe results show that the performance of the national ecological product value realization mechanism has been increasing year by year, showing explosive growth in 2015, and the growth rate has fluctuated since then.DiscussionIt is suggested to formulate a performance evaluation policy for the realization mechanism of ecological product value based on the goal of building a beautiful China, promote the establishment of ecological product value realization methods and paths with the characteristics of each province (city), conduct performance evaluations on pilot demonstrations and base creation in the national ecological product value realization, and further optimize and improve relevant institutional mechanisms.…”
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Integrated Framework and Technical Path for Multi-level Nested Assessment of Landscape Character by Yuncai WANG, Qizhen DONG

“…The multi-level nested assessment framework and technical path integrating LCA and LPA can accurately grasp the local characteristics of landscape through quantitative assessment and spatial mapping using artificial intelligence technology at different scales of practical needs. …”
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Expected Length of the Shortest Path of the Traveling Salesman Problem in 3D Space by Hongtai Yang, Xiaoqian Lu, Xinan Zhou, Rong Zheng, Yugang Liu, Siyu Tao

“…Finding the shortest path of the traveling salesman problem (TSP) is a typical NP-hard problem and one of the basic optimization problems. …”
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Applicability study of the general wireless transmission path loss statistical model in mines by PENG Ming

“…The applicability of the general wireless transmission path loss statistical model in mine environments was analyzed: ① The single-frequency general wireless transmission path loss statistical model does not include frequency as a variable and is only suitable for predicting wireless transmission path loss at different distances for a single frequency. …”
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Guiding in complex contexts: Paths of vocational guidance in the Costa Rican educational system by Ana Victoria Garita-Pulido

“…At the same time, it revisits some elements of the life designing approach, which allows vocational guidance intervention to be operationalized from a perspective of complexity, by proposing the need to move towards a model adapted to current realities that consider the context, values, interrelations, perceptions, and personal capacities in the construction of trajectories in the different areas of life. Finally, some key points are proposed for optimizing vocational guidance, ensuring that the guiding actions are rooted in the substantial elements proposed by both theoretical perspectives. …”
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TA-RRT*: Adaptive Sampling-Based Path Planning Using Terrain Analysis by Taegeun Oh, Yun-Jae Won, Sungjin Lee

“…While existing RRT*-based algorithms perform node sampling and tree expansion in various ways to optimize path planning, they may still generate inefficient paths in complex terrain environments. …”
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Applying the Node Combination Algorithm to the Shortest Path Problem for a Logistics Firm by Kevser Arman, Ayşegül Tuş

“…This study considers a route determination problem that minimizes the total distance and time between the cities of Düzce and Artvin in Turkey for a logistics company in terms of the shortest path problem (SPP), a network analysis method. The aim of the study is to provide a higher level of profitability and customer service by optimizing the distribution activities of a logistics company. …”
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Mapping the Path of Digital Transformation: The Role of Leadership in Building Adaptive Organizational Culture by Budi Haryanto, Bambang Budi Wiyono, A Supriyanto

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Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method by Souhail Dhouib

“…The Mobile Robot Path Problem looks to find the optimal shortest path from the starting point to the target point with collision-free for a mobile robot. …”
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Data Processing and Algorithm Analysis of Vehicle Path Planning Based on Wireless Sensor Network by Wenyuan Tao, Mingqin Chen

“…Optimizing the path planning to reduce the time and cost is an essential consideration in modern society, and existing research has mostly concentrated on static path planning and real-time data information in vehicle navigational applications. …”
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Complete-Coverage Path-Planning Algorithm Based on Transition Probability and Learning Perturbation Operator by Xia Wang, Gongshuo Han, Jianing Tang, Zhongbin Dai

“…CCPP-TPLP was tested against five algorithms in different map environments and in the working map environment of electric tractors with height information The results show that CCPP-TPLP can optimize the selection of path nodes, reduce the total length and repetition rate of the path, and significantly improve the planning efficiency and quality of complete coverage path planning.…”
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Research on Shortest Path Planning and Smoothing Without Obstacle Collision Based on Moving Carrier by Lingsong Di, Defeng Sun, Yahui Qi, Zhicai Xiao

“…It researches path smoothing under obstacle conditions based on arcs and straight lines, providing practical solutions for different scenarios. …”
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POI recommendation by deep neural matrix factorization integrated attention-aware meta-paths by Xiaoyan Li, Shenghua Xu, Hengxu Jin, Zhuolu Wang, Yu Ma, Xuan He

“…Multiple-weighted isomorphic information networks based on meta-paths are employed to obtain node-embedding vectors across different relationships. …”
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Reinforcement Learning-Based Safe Path Planning for a 3R Planar Robot by Mustafa Can Bingol

“…Robotic researchers have suggested some methods such as particle swarm optimization, A*, and reinforcement learning (RL) to obtain a path. …”
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