Fault detection and assessment in an AC microgrid system using modified complex plane via positive sequence current measurement by Chinmayee Biswal, Pravat Kumar Rout, Binod Kumar Sahu, Manohar Mishra

“…Integrating distributed generations (DGs) into microgrids leads to many significant issues and challenges in fault detection due to bidirectional power flow, inertia change, fault current variation under different operating conditions, and topological changes. …”
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Quality of Service Routing in Manet Using a Hybrid Intelligent Algorithm Inspired by Cuckoo Search by S. Rajalakshmi, R. Maguteeswaran

“…A hybrid computational intelligent algorithm is proposed by integrating the salient features of two different heuristic techniques to solve a multiconstrained Quality of Service Routing (QoSR) problem in Mobile Ad Hoc Networks (MANETs) is presented. …”
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Optimization of Offshore Wind and Wave Energy Co-Generation System Based on Improved Seagull Optimization Algorithm by Xiaoshi Zhuang, Honglue Wan, Dongran Song, Xinyu Fan, Yuchen Wang, Qian Huang, Jian Yang

“…Secondly, the seagull optimization algorithm is enhanced by integrating three strategies: the nonlinear adjustment strategy for control factors, the Gaussian–Cauchy hybrid variational strategy, and the multiple swarm strategy, thereby improving the global search capability. …”
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Optimization Design and Experiment of Soil-Covering Device for Astragalus Mulching Transplanting Machine by Bin Feng, Wei Sun, Shanglong Xin, Guanping Wang, Wenjing Lv, Junzeng Wang

“…The quantity of soil cover and variation coefficient of soil cover quantity uniformity were used as the evaluation indicators for the quality of the operation, and parameter optimization experiments were conducted. …”
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Electric Vehicle Charging Load Forecasting Based on K-Means++-GRU-KSVR by Renxue Shang, Yongjun Ma

“…Finally, a weighted summation method was used to integrate the forecast results from each region, resulting in a more accurate overall load forecast. …”
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Continuously adjustable hollow beam for ultrafast laser fabrication of size-controllable nanoparticles by Wang Zhi, Yi Peng, Wang Andong, Li Taoyong, Chen Wentao, Qi Xiaolin, Li Xiaowei

“…The focused vortex beam generates a hollow beam, which has been widely used for size-controlled nanoparticle formation on various materials. However, the size variation of the vortex beam is limited by the integral order of the 2π phase wrap, while the waste is caused by the large side lobe around the center. …”
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Study on the Mechanical Characteristic of Special-shaped Asymmetric Flexure Hinge by Cheng Li, Chuanli Wang, Tao He, Huanyu Huo

“…Based on the bending theory of cantilever beam and Hooke's law under the micro element method， by selecting the appropriate integral variable and intermediate variable， the relatively simple calculation formula of rotational flexibility and tensile flexibility is obtained， and the general calculation formula of the maximum stress is given. …”
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Development of an Unmanned Glider for Temperature and Image Monitoring by Joel Eldo, Sivasankar Sibi, Zehin A. Ibrahim, Efstratios L. Ntantis

“…Aerodynamic optimization was performed using XFLR5 and ANSYS Fluent 2023 R1, with spanwise variation between NACA 63(3)-618 and NACA 4415 to enhance performance. …”
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Spatiotemporal evolution and interaction of soil and water resource carrying capacities in Gansu Province by WANG Lichuan, SUN Dongyuan, MA Yali, WU Lanzhen, CUI Yanqiang, SHU Heping, WANG Xingfan

“…【Method】Data on soil and water resources from 2000 to 2022 were used to assess their spatiotemporal variation and coupling coordination at the municipal and prefectural levels. …”
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Age-related differences in Rostral-Middle locus coeruleus microstructure: A critical role in cognitive decline revealed by magnetic resonance relaxometry by Jonghyun Bae, Zhaoyuan Gong, Caio Mazucanti, Murat Bilgel, John P. Laporte, Mary E. Faulkner, Alex Guo, Christopher M. Bergeron, Josephine M. Egan, Susan M. Resnick, Christopher E. Ramsden, Mustapha Bouhrara

“…Despite its importance, in-vivo investigations of age-related LC degeneration and association with cognitive decline have been limited. Method We employed magnetic resonance relaxometry, namely the Bayesian Monte-Carlo analysis of multicomponent driven equilibrium single pulse observation of T1 and T2 (BMC-mcDESPOT) MRI method, to estimate microstructural integrity represented by longitudinal (R1) and transverse (R2) relaxation rates, as well as Myelin Water Fraction (MWF) in the LC of a diverse cohort of 120 cognitively unimpaired individuals aged 22 to 94 years. …”
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A Multi-Feature Fusion Approach for Sea Fog Detection Under Complex Background by Shuyuan Yang, Yuzhu Tang, Zeming Zhou, Xiaofeng Zhao, Pinglv Yang, Yangfan Hu, Ran Bo

“…Based on the spatial distribution characteristics of sea fog and clouds, we redesigned the loss function to integrate total variation loss, focal loss, and dice loss. …”
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Modeling Purposes of Public Transportation Trips for Human Need-Responsive Urban Mobility Efficiency by Lan Zhang, Kaijian Liu

“…The proposed method integrates 1) the gravity model for modeling spatial trip purpose distributions and 2) a temporal variation model for modeling temporal trip purpose distributions to enable station-level, hourly PT trip purpose modeling and inference. …”
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Active Dielectric Metasurfaces for Switchable Terahertz Beam Steering and Focusing by Kaiji Chen, Xueqian Zhang, Xieyu Chen, Tong Wu, Qingwei Wang, Ziying Zhang, Quan Xu, Jiaguang Han, Weili Zhang

“…Conventional metasurfaces often manipulate light propagation in a passive way, which cannot satisfy the dynamic operation requirements of many practical applications. Integrating functional materials or components into the structure design is one effective method, which, however, often introduces additional loss to the resonances, thus greatly affecting the efficiency of modulation. …”
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Elevator fault precursor prediction based on improved LSTM-AE algorithm and TSO-VMD denoising technique. by Hao Cao, Xiaoyan Du

“…This study proposes an advanced elevator fault precursor prediction method integrating Variational Mode Decomposition (VMD), Bidirectional Long Short-Term Memory (BILSTM), and an Autoencoder with an Attention Mechanism (AEAM), collectively referred to as the VMD-BILSTM-AEAM algorithm. …”
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Study on Tooth Surface Roughness Modeling of Form Grinding Considering the Change of the Local Grinding Condition by Chen Xiaoqi, Tang Cheng, Liao Xianggui, Zhou Weihua, Tang Jinyuan

“…Therefore, this study proposes a method for modeling the surface roughness of gear form grinding, considering the variation of local grinding strips. …”
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Extrusion of Heterogeneous Filament‐like Structures: A New Paradigm in Fabricating Soft Mechanical Gradient with Long Span by Akanksha Pragya, Tushar K. Ghosh

“…Compared to traditional fabrication techniques, this method allows for precise control over gradient magnitude and span, even post‐fabrication, offering greater flexibility for various applications. …”
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Transformation of Financial Services Industry in Conditions of Digitalization of Economy by Iryna Kozhushko

“…In addition, the countries of the first cluster have a significantly higher variation of the components of the integral indicator of digitalization of the economy. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…This study aims to bring innovative ideas to load forecasting by integrating complex features into the decomposition forecasting framework.…”
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Synergistic Artificial Intelligence framework for robust multivariate medium-term wind power prediction with uncertainty envelopes by Bo Wu, Xiuli Wang, Bangyan Wang, Yaohong Xie, Shixiong Qi, Wenduo Sun, Qihang Huang, Xiang Ma

“…The framework consists of three key components: an internal–external learning process, a vertical–horizontal learning process, and a residual-based robust forecasting method. The internal–external process combines Variational Mode Decomposition with a stacked N-BEATS model, achieving stable and accurate forecasts across nearly 200 time steps. …”
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Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions by J. Quetzalcóatl Toledo-Marín, Sebastian Gonzalez, Hao Jia, Ian Lu, Deniz Sogutlu, Abhishek Abhishek, Colin Gay, Eric Paquet, Roger G. Melko, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko

“…To address this, we propose a conditioned quantum-assisted generative model, integrating a conditioned variational autoencoder (VAE) and a conditioned restricted Boltzmann machine (RBM). …”
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