Efficient control of fluxonium qubits via nonadiabatic transitions by I-Yun Hsiao, Yen-Hsiang Lin, Yoshiaki Teranishi

“…As an alternative, nonadiabatic transitions induced by a time-dependent external flux ϕ_{ext}(t) can enable faster and simpler control by exploiting quantum interference between multiple transition paths. Existing approaches typically impose periodicity or symmetry on ϕ_{ext}(t), which can limit control efficiency. …”
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Efficient sparse state preparation via quantum walks by Alvin Gonzales, Rebekah Herrman, Colin Campbell, Igor Gaidai, Ji Liu, Teague Tomesh, Zain H. Saleem

“…We use this mapping to introduce an efficient sparse quantum state preparation framework based on dynamic CTQWs. …”
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Modeling and Verification of Reconfigurable and Energy-Efficient Manufacturing Systems by Jiafeng Zhang, Mohamed Khalgui, Wassim Mohamed Boussahel, Georg Frey, ChiTin Hon, Naiqi Wu, Zhiwu Li

“…This paper deals with the formal modeling and verification of reconfigurable and energy-efficient manufacturing systems (REMSs) that are considered as reconfigurable discrete event control systems. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…Compared to dual-path models, RCNN-based models offer higher computational efficiency but often struggle to achieve competitive performance. …”
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Scheduling Method of AGV in Spinning Workshop Based on Simulated Annealing Ant Colony Optimization by Jinglong Xiong, Yiping Yuan, Yongsheng Chao, Ming Li, Adilanmu Sitahong, Peiyin Mo

“…Under various constraints covering point demand constraint, path flow constraint, AGV capacity constraint, starting point constraint and variable constraint, an AGV scheduling model for spinning workshops is constructed. …”
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Path Planning for Unmanned Aerial Vehicles in Dynamic Environments: A Novel Approach Using Improved A* and Grey Wolf Optimizer by Ali Haidar Ahmad, Oussama Zahwe, Abbass Nasser, Benoit Clement

“…Unmanned aerial vehicles (UAVs) play pivotal roles in various applications, from surveillance to delivery services. Efficient path planning for UAVs in dynamic environments with obstacles and moving landing stations is essential to ensure safe and reliable operations. …”
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Energy efficient inter-cluster multi-hop communication routing protocol for wireless sensor network based on centralized energy efficient clustering routing protocol by Makda Fekadie Tewelgne, Samuel Asferaw Demilew, Dagne Walle Girmaw

“…To minimize power consumption and maximize network lifetimes, this study integrates Multi-Hop communication into the Centralized Energy Efficient Clustering Routing Protocol to determine the optimal path for inter-cluster multi-hop communication between a source (cluster head) and a destination (base station). …”
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A feature selection method utilizing path accumulation cost, redundancy minimization, and interaction maximization for the diagnosis of coronary heart disease by Jiayao Jiang, Zheng Yue, Hongling Zhu, Yan Wang, Hongsen Cai, Wenguang Hou

“…The asymptomatic early stages and rapid progression of CHD make diagnosis challenging, necessitating efficient diagnostic approaches. Methods We propose a novel algorithm that focuses on accumulating soft path costs to discern crucial indicators from extensive diagnostic tests, aiming to improve early CHD identification. …”
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Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms by Faten Aljalaud, Yousef Alohali

“…Efficient path planning is vital for multi-UAV inspection missions, yet the comparative effectiveness of different optimization strategies has not received much attention. …”
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A novel sequential block path planning method for 3D unmanned aerial vehicle routing in sustainable supply chains by Muhammad Ikram, Robert Sroufe

“…We utilize queuing theory for task scheduling and UAV assignments within a supply chain network while ensuring efficient and effective task distribution. The results demonstrate that the proposed combination of routing and path planning algorithms significantly improves performance in 3D environments, resulting in shorter logistics paths, enhanced quality of service, and reduced computation time. …”
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A Comprehensive Analysis Perspective on Path Optimization of Multimodal Electric Transportation Vehicles: Problems, Models, Methods and Future Research Directions by Wenxin Li, Yuhonghao Wang

“…Based on whether to consider low-carbon requirements, uncertainty, and special cargo transportation, the literature is divided into five areas: traditional multimodal transport path optimization, multimodal transport path optimization considering low-carbon requirements, multimodal transport path optimization considering uncertainty, multimodal transport path optimization considering low-carbon requirements and uncertainty, and multimodal transport path optimization considering special transport needs. …”
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Obtaining a PhD in Portugal. Determinants of Success and Subsequent Career Paths [version 2; peer review: 2 approved] by Daniel Ferreira, Ana Ramos

“…However, there is a lack of up-to-date information on the success of scholarship holders in obtaining the degree or on their subsequent career paths. Methods This study analysed four cohorts of scholarship holders funded by the Foundation for Science and Technology between 1995 and 2012. …”
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Novel Energy-Aware 3D UAV Path Planning and Collision Avoidance Using Receding Horizon and Optimization-Based Control by Gamil Ahmed, Tarek Sheltami

“…This paper introduces a novel approach for energy-efficient three-dimensional online path planning for UAV formations operating in complex environments. …”
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MPN-RRT*: A New Method in 3D Urban Path Planning for UAV Integrating Deep Learning and Sampling Optimization by Yue Zheng, Ang Li, Zihan Chen, Yapeng Wang, Xu Yang, Sio-Kei Im

“…The increasing deployment of unmanned aerial vehicles (UAVs) in complex urban environments necessitates efficient and reliable path planning algorithms. While traditional sampling-based methods such as Rapidly exploring Random Tree Star (RRT*) are widely adopted, their computational inefficiency and suboptimal path quality in intricate 3D spaces remain significant challenges. …”
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Are Polymer-Based Smart Materials Unlocking the Path to Sustainable Manufacturing for a Net-Zero Economy? Current Trends and Potential Applications by Karishma M. Qureshi, Alok Yadav, Rajiv Kumar Garg, Anish Sachdeva, Amal Abdulrahman, Saleh Yahya Alghamdi, Mohamed Rafik Noor Mohamed Qureshi

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Exploring the nexus of sustainable tourism gastronomy experiences and artificial intelligence: A path towards enhanced environmental stewardship and guest satisfaction by Miloš Zrnić, Dragan Jovanović, Miloš Novaković

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A Smooth Jump Point Search Algorithm for Mobile Robots Path Planning Based on a Two-Dimensional Grid Model by Zhen Yang, Junli Li, Liwei Yang, Hejiang Chen

“…To address the problems of the traditional A∗ algorithm in solving paths with many expansion nodes, high memory overhead, low operation efficiency, and many path corners, this paper improved the traditional A∗ algorithm by combining jump point search strategy and adaptive arc optimization strategy. …”
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Key technologies for path planning of coal mine wheeled robots integrating fast traversal random trees and Q-reinforcement learning by Tianfei WEN, Yu GAO, Quan WANG, Chuang YANG

“…The research method has faster path planning efficiency and can generate safer robot running paths.…”
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A Spatiotemporal U-Net-Based Data Preprocessing Pipeline for Sun-Synchronous Path Planning in Lunar South Polar Exploration by Yang Chen, Guangfei Wei, Hao Zhang, Jianfeng Lu, Fuchuan Pang

“…The dynamic illumination conditions in the Moon’s polar region present challenges for future rover explorations, which require enhanced efficiency and intelligent data preprocessing for Sun-synchronous path planning. …”
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Research on the Construction Path of Circular Supply Chain with Multiple Subjects: Identification and Analysis of Key Driving Factors Based on Technology Cycle by Meijing Chen, Ting Wang, Qichen Zhao, Yujie Hu

“…On this basis, this paper explores the efficiency-enhancing path strategy for the synergistic implementation of CSC by multiple subjects from the perspectives of the four key subjects of CSC. …”
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