Randomised land use pathway generation allows efficient multi-outcome appraisal by Joshua P. Copping, Richard B. Bradbury, Rob H. Field, Tom Finch

“…Ideally, such models should identify efficient solutions from a large set of potential futures. …”
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On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks by Yunyue Lin, Qishi Wu, Xiaoshan Cai, Xiaojiang Du, Ki-Hyeon Kwon

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Energy-Efficient and Survivable Optical Access Network Based on Multilayer-Ring Structure by Yunxin Lv, Ning Jiang, Chenpeng Xue, Kun Qiu

“…An energy-efficient and survivable optical access network structure is proposed and investigated. …”
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Wolverines use spatial memory to plan efficient routes through rugged terrain by Thomas W. Glass, Jeffery P. Copeland, Lucretia E. Olson, John S. Waller, John R. Squires

“…., lacking memory) and comparing their paths with actual routes taken. By comparing route efficiency, we evaluate whether actual routes incorporate knowledge beyond the perceptual range (i.e., spatial memory). …”
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Efficiency-Sensitive Feature Selection and Probabilistic Feature Transfer for Scenic Image Recomposition by Zhendong Du, Yu Yu

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Geometric Effects on Nanopore Creation in Graphene and on the Impact-withstanding Efficiency of Graphene Nanosheets by Sadegh Sadeghzadeh

“…Self-healing is the most important aspect of MLGSs because it closes the paths of penetrating nanoparticles in the upper layers of the sheets. …”
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How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency? by Hui Li, Chuandang Zhao, Xiaoying Tang, Jiawei Cheng, Guanyang Lu, Yang Gu, Zhiyue Zhang, Yang Liu

“…To effectively improve green innovation efficiency through environmental regulations, it is urgent to better understand the impact of different environmental regulations on green innovation efficiency (GIE). …”
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Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning by Zihao Wang, Zhiwei Zhang, Wenying Dou, Guangpeng Hu, Lifu Zhang, Meng Zhang

“…The classical algorithm, conflict-based search (CBS), is widely used in various real-world applications due to its ability to solve large-scale conflict-free paths. However, classical CBS assumes discrete time–space planning and overlooks physical constraints in actual scenarios, making it unsuitable for direct application in unmanned aerial vehicle (UAV) swarm. …”
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Evaluation of tomato hybrid lines adapted to lowland by Amal Muh. Alfan Ikhlasul, Farid Muh., Anshori Muhammad Fuad

“…The selection criteria were further refined using both principal component analysis (PCA) and path analysis. PCA was employed to identify the primary traits contributing to variability, while path analysis helped establish the strength and direction of relationships between key traits and supporting characteristics. …”
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Enhancing Urban Energy Infrastructure by Optimizing Underground Transmission Line Routing in Phnom Penh by Kimlin Saing, Hui Hwang Goh, Dongdong Zhang, Wei Dai, Tonni Agustiono Kurniawan, Kai Chen Goh

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Boa Fumigator: An Intelligent Robotic Approach for Mosquito Control by Sriniketh Konduri, Prithvi Krishna Chittoor, Bhanu Priya Dandumahanti, Zhenyuan Yang, Mohan Rajesh Elara, Grace Hephzibah Jaichandar

“…A genetic algorithm fused with an A*-based prioritized path planning algorithm is developed for efficient navigation and charging of mosquito catchers. …”
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Plant Growth Regulators Reduce Flower and Pod Shedding and Optimize Pod Distribution in Soybean in Northwest China by Hao Cheng, Qinglan Xu, Chenfang Ding, Ziyi Meng, Feifei Zhao, Yuchen Gan, Xinghu Song, Qiang Zhao

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Direct Torque Control with Space Vector Modulation (DTC-SVM) with Adaptive Fractional-Order Sliding Mode: A Path Towards Improved Electric Vehicle Propulsion by Fatma Ben Salem, Motab Turki Almousa, Nabil Derbel

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Knowledge-Guided Reinforcement Learning with Artificial Potential Field-Based Demonstrations for Multi-Autonomous Underwater Vehicle Cooperative Hunting by Yang Wang, Weiye Wang, Deshan Chen

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A DDQN-Guided Dual-Population Evolutionary Multitasking Framework for Constrained Multi-Objective Ship Berthing by Jinyou Mou, Qidan Zhu

“…Autonomous ship berthing requires advanced path planning to balance multiple objectives, such as minimizing berthing time, reducing energy consumption, and ensuring safety under dynamic environmental constraints. …”
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An improved joint space Astar algorithm for a 6-DOF manipulator with pre-planning strategy by Chuangxin He, Shuaikai Lian, Qian Shi, Zhonghua Miao

“…Abstract Efficiency in manipulator path planning and obstacle avoidance represents a crucial technological challenge in manipulator research. …”
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Enhancing LoRaWAN Performance Using Boosting Machine Learning Algorithms Under Environmental Variations by Maram A. Alkhayyal, Almetwally M. Mostafa

“…LightGBM also offered the best trade-off between accuracy and computational efficiency. The findings show that boosting algorithms, particularly LightGBM, are highly effective for path loss prediction in LoRaWANs.…”
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Day–Night Energy-Constrained Path Planning for Stratospheric Airships: A Hybrid Level-Set Particle Swarm Optimization (LS-PSO) Framework in Dynamic Flows by Cheng Liu, Xiang Li, Jinggang Miao, Yu Feng, Chunjiang Bian

“…The results demonstrate that our path planning methodology provides a computationally efficient and optimal energy–time solution for autonomous stratospheric airships, while conforming to reachability and strict nighttime energy constraints.…”
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Multidimensional Comprehensive Evaluation Method for Sonar Detection Efficiency Based on Dynamic Spatiotemporal Interactions by Shizhe Wang, Weiyi Chen, Zongji Li, Xu Chen, Yanbing Su

“…Second, a single evaluation dimension cannot characterize the data distribution characteristics of efficiency indicators. In this paper, we propose a multidimensional detection efficiency evaluation method for sonar search paths based on dynamic spatiotemporal interactions. …”
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Energy-Efficient Adaptive Routing and Context-Aware Lifetime Maximization in Wireless Sensor Networks by Shaohua Wan

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