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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“Popping the Ion‐Basket”: Enhancing Thermoelectric Performance of Conjugated Polymers by Blending with Latently Dissociable Perovskite Quantum Dots by Hansol Lee, Hoimin Kim, Haedam Jin, Seungju Kang, Tae Woong Yoon, Dongki Lee, Guobing Zhang, Min Kim, Boseok Kang

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Adaptive torque feed-forward control for wind turbine MPPT considering predicted wind speed characteristics by Liangwen Qi, Min Zhao, Songsong Wu, Xiaohan Zhang, Pengfei Meng, Yong Zhao, Wei Deng

“…In this regard, an adaptive feed-forward torque control (AFTC) approach is proposed to dynamically adjust the MPPT tracking bandwidth in response to wind variations. The approach integrates a Kalman observer for aerodynamic torque estimation and employs the Newton-Raphson method to derive real-time wind speed. …”
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Annual Daily Average Load Curve Prediction Considering Dynamic Time Anchors and Typical Feature Constraints by Dan LI, Shuai HE, Wei YAN, Yue HU, Zeren FANG, Yunyan LIANG

“…The proposed method can effectively integrate the common rules of historical sample time series with different calendar characteristics, which is reasonable and interpretable.…”
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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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Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens by Cheng Han, Shiying Lu, Pan Hu, Jiang Chang, Deying Zou, Feng Li, Yansong Li, Qiang Lu, Honglin Ren

“…Abstract Variations in host species significantly impact bacterial growth traits and antibiotic resistance, making it essential to consider host origin when evaluating the zoonotic potential of pathogens. …”
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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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Multi-Scale Ground Deformation in Beijing Plain Revealed by a Joint 2D-FFT and MGWR Decomposition of InSAR Observation by Nian Feng, Lei Xie, Wenbin Xu, Miao Yu

“…This article proposes a novel multiscale InSAR deformation decomposition method that integrates two-dimensional fast Fourier transform with a multiscale geographically weighted regression model. …”
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Simulation and performance analysis of plasma switch for microwave amplification in T shaped circular waveguide in the S band by Javad Taghinejad, Maede Rahmani, Ali Reza Niknam

“…Abstract In this work, the control and amplification of microwaves in a T-shaped circular waveguide in the S-band using a plasma switch are simulated using Computer Simulation Technology (CST) software and the Finite-Difference Time-Domain (FDTD) method. We present an innovative configuration that integrates a plasma switch into a T-shaped circular waveguide, enabling real-time control of plasma parameters to enhance microwave reflection and amplification. …”
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Study on Staged Start-up Mitigation Strategies for Water Hammer in Large-scale Centrifugal Pump Systems Based on One-dimensional and Three-dimensional Coupled Simulation by F. You, Q. Lan

“…The transient external characteristics and internal flow field variations of a medium-to-high specific speed centrifugal pump system during staged start-up were investigated by integrating one-dimensional external characteristics analysis and three-dimensional internal flow field simulation. …”
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Digital disinformation and financial decision-making: understanding the spread of economic conspiracy theories in Indonesia by Alem Febri Sonni

“…The research examines how conspiracy narratives spread and influence investment behaviors through a comprehensive mixed-method approach combining network analysis, content analysis, and survey research of 2,847 social media users using stratified random sampling across Indonesian provinces. …”
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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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Rényi Entropy-Based Shrinkage with RANSAC Refinement for Sparse Time-Frequency Distribution Reconstruction by Vedran Jurdana

“…Nevertheless, RTwIST may struggle to accurately isolate components in cases of significant amplitude variations or component intersections. In this work, an enhanced RTwIST framework is proposed, integrating the random sample consensus (RANSAC)-based refinement stage that iteratively extracts individual components and fits smooth trajectories to their peaks. …”
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Influence of Environmental Factors and Aggregates on Concrete Elasticity: Ultrasonic and Strength Testing by Mohammad Reza Hadidi, Yaghoub Mohammadi

“…The study also validates using UPV as a nondestructive method to efficiently evaluate concrete’s structural integrity. …”
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Multi-stream part-fused graph convolutional networks for skeleton-based gait recognition by Likai Wang, Jinyan Chen, Zhenghang Chen, Yuxin Liu, Haolin Yang

“…On the popular CASIA-B dataset, extensive experiments demonstrate that our method can achieve state-of-the-art performance and is robust to confounding variations.…”
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Incremental Gate State Output Decomposition Model for Highway Traffic Forecasting Using Toll Collection Data by Liang Yu, Ming Li, Kaifeng Liu, Xiangping Cheng

“…The results demonstrate that the proposed model consistently exhibits robustness, with variations in threshold magnitude having little impact on its prediction accuracy.…”
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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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Advanced Machine Learning Techniques for Predicting Nha Trang Shorelines by Cheng Yin, Le Thanh Binh, Duong Tran Anh, Son T. Mai, Anh Le, Van-Hau Nguyen, Van-Chien Nguyen, Nguyen Xuan Tinh, Hitoshi Tanaka, Nguyen Trung Viet, Long D. Nguyen, Trung Q. Duong

“…In this paper, we explored a statistical forecasting model, Seasonal Auto-regressive Integrated Moving Average (SARIMA), and two Machine Learning (ML) models, Neural Network Auto-Regression (NNAR) and Long Short-Term Memory (LSTM), to predict the shoreline variations from surveillance camera images. …”
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