Research on the Frequency Stability Analysis of Grid-Connected Double-Fed Induction Generator Systems by Peng Jia, Yun Sun, Linlin Yu, Jing Zhang, Xiaoliang Jiang, Gaojun Meng

“…The research results indicate that the proposed method can accurately quantify the impact of wind power variation on system frequency stability and rapidly determine the maximum wind power penetration rate to ensure frequency stability, thereby improving the accuracy of the wind power grid connection capability assessment.…”
Get full text

A Simple and Accurate Apollo-Trained Neural Network Controller for Mars Atmospheric Entry by Hao Wang, Tarek A. Elgohary

“…It achieves the desired landing accuracy for a Mars capsule. This method works with both linear and nonlinear integration and can generate the bank angle commands in real-time without a prestored trajectory.…”
Get full text

Research on a virtual-real fusion experimental system for the cutting part of a boom-type roadheader. by Jianzhuo Zhang, Ce Chen, Xiaoyu Ding, Tao Wang, Chuanxu Wan, Wenliang Li

“…This system incorporates functions including digital modeling of coal-rock, simulation of mechanical properties of the cutting unit, and integration of virtual and physical experiments. To address the challenge of obtaining cutting tooth loads at coal-rock interfaces, a discretized digital coal-rock volume construction method is proposed. …”
Get full text

Numerical investigation of fractional order SEIR models with newborn immunization using Vieta–Fibonacci wavelets by Naied A. Nayied, Firdous A. Shah, Mukhtar A. Khanday, Kottakkaran Sooppy Nisar

“…These matrices convert the underlying model into a system of algebraic equations that can solved using any classical method, such as Newton’s iterative method, Broyden’s method, or fsolve command in MATLAB software. …”
Get full text

Multi-Dimensional Anomaly Detection and Fault Localization in Microservice Architectures: A Dual-Channel Deep Learning Approach with Causal Inference for Intelligent Sensing by Suchuan Xing, Yihan Wang, Wenhe Liu

“…This paper proposes a dual-channel deep learning framework that integrates Temporal Convolutional Networks with Variational Autoencoders to address these challenges. …”
Get full text

Real-time scattering in Ising field theory using matrix product states by Raghav G. Jha, Ashley Milsted, Dominik Neuenfeld, John Preskill, Pedro Vieira

“…We study scattering in Ising field theory (IFT) using matrix product states and the time-dependent variational principle. IFT is a one-parameter family of strongly coupled nonintegrable quantum field theories in 1+1 dimensions, interpolating between massive free fermion theory and Zamolodchikov's integrable massive E_{8} theory. …”
Get full text

Modeling and Predicting Uncertainty in Tidal Turbine Power Output: A Data-Driven Time-Series Approach by Niousha Talebpour, Mohammad Ilbeigi

“…The integration of sustainable energy sources into modern power grids is crucial for achieving a more resilient, equitable, and environmentally sustainable electricity infrastructure. …”
Get full text

Effect of recuperative volume parameters on dynamic characteristics of pneumatic drive underbraking by A. N. Sirotenko, S. A. Partko, Wael Salloum

“…The solution to the mathematical model is carried out by the numerical integration method.Research Results. The dependences of the output link velocity, pressures and temperatures in the pneumatic drive cavities on the initial parameters of the recuperative volume are obtained. …”
Get full text

An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM by Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu

“…This study introduces an enhanced power load forecasting algorithm, integrating slime mould algorithm (SMA) and long short‐time memory (LSTM) to effectively address the hyperparameter challenges associated with LSTM, while also applying variational modal decomposition (VMD) to load forecasting. …”
Get full text

A Multi-Scale Feature Fusion Hybrid Convolution Attention Model for Birdsong Recognition by Lianglian Gu, Guangzhi Di, Danju Lv, Yan Zhang, Yueyun Yu, Wei Li, Ziqian Wang

“…The integration of multi-scale feature extraction and fusion enables the model to better handle scale variations, thereby enhancing its adaptability across different scales. …”
Get full text

Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians by Riccardo Rende, Luciano Loris Viteritti, Federico Becca, Antonello Scardicchio, Alessandro Laio, Giuseppe Carleo

“…Inspired by this success, we propose Foundation Neural-Network Quantum States (FNQS) as an integrated paradigm for studying quantum many-body systems. …”
Get full text

UAVs-Based Visual Localization via Attention-Driven Image Registration Across Varying Texture Levels by Yan Ren, Guohai Dong, Tianbo Zhang, Meng Zhang, Xinyu Chen, Mingliang Xue

“…Following this, we combined a convolutional neural network with an attention mechanism and the inverse-combined Lucas-Kanade method to further extract image features. This integration facilitates the efficient registration of drone images with satellite tiles. …”
Get full text

Sub-Module Voltage Estimation of Modular Multilevel Converter in PV Applications Using a Sliding Mode Observer by Imane alia, Imad Merzouk, Mehamed Mounir Rezaoui

“…The proposed SMO offers a robust alternative, providing accurate voltage estimation despite parameter variations and external disturbances. The design and implementation of the SMO, along with its integration into the MMC control strategy, are demonstrated. …”
Get full text

Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions by Muhammad Azam Hafeez, Alberto Procacci, Axel Coussement, Alessandro Parente

“…We validate the proposed methods using a synthetic dataset and a benchmark case of one-dimensional laminar NH3/H2 flames. …”
Get full text

Enhancing Pear Tree Yield Estimation Accuracy by Assimilating LAI and SM into the WOFOST Model Based on Satellite Remote Sensing Data by Zehua Fan, Yasen Qin, Jianan Chi, Ning Yan

“…Therefore, the RF algorithm was selected as the preferred method for LAI inversion in this study. Subsequently, the study further explored the potential of data assimilation techniques in enhancing the accuracy of pear yield simulation. …”
Get full text

Information Merging for Improving Automatic Classification of Electrical Impedance Mammography Images by Jazmin Alvarado-Godinez, Hayde Peregrina-Barreto, Delia Irazú Hernández-Farías, Blanca Murillo-Ortiz

“…To address this issue, advanced computational techniques are employed for image integration, such as the Root Mean Square (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>C</mi><mi>RMS</mi></msub></semantics></math></inline-formula>) Contrast and Contrast-Limited Adaptive Histogram Equalization (CLAHE), combined with the Coefficient of Variation (CV), CLAHE-based fusion, weighted average fusion, Gaussian pyramid fusion, and Wavelet–PCA fusion. …”
Get full text

COMPARATIVE CHARACTERISTICS OF THE EFFECTIVENESS OF DIRECT AND INDIRECT RESTORATIONS ON TEETH WITH DISCOLORATION by I.V. Zhyvotovskyi, Yu.I. Sylenko, M.V. Khrebor

“…The obtained results were processed by the method of variational statistics using Student's test. …”
Get full text

Analysis Based on Boundary Layer Theory of Natural Convection near Electrodes by Hideaki SASAKI, Takumi TAKAICHI

“…Next, we will explain the von Kármán-Pohlhausen integration method as another approach for analyzing the flow velocity of natural convection and current density distribution. …”
Get full text

Justice enablers of climate-health adaptation in South America by Romina Rekers, María Victoria Gerbaldo, Carlos Yabar, Cintia Rodríguez Garat, Lucas Rekers

“…There is also significant variation across countries in the integration of different dimensions of justice (recognitional, procedural, distributive). …”
Get full text

Global Aggregated Ranking of HEIs: Russian Footprint by V. A. Bolotov, G. N. Motova, V. G. Navodnov

“…The paper suggests a new approach to performance evaluation of universities in Russia and worldwide based on aggregation of the results of ten global rankings and the Database of External Quality Assurance Results (DEQAR). The method of league analysis (MetALeague) allows the authors to integrate the diverse results of ranking and evaluation regardless of considerable variations in ranking methodology and indicators. …”
Get full text