Molecular and Microstructural Engineering Strategies for High-Performance Polypropylene Insulation Materials by Zhaoliang Xing, Hao Ge, Deshen Li, Shaowei Guo, Bo Yang, Chunjia Gao, Bo Qi, Jianhong Hao

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Analysis of Cogging Torque Ripple Based on Multiple Square-Wave Radial Superposition MMF for Wound-Field Synchronous Motors by Tingting Hou, Jiakuan Xia, Jin Chen, Meijun Qi

“…First, based on the energy method, the analytical expression of cogging torque ripple under the square wave MMF is derived, and the source and weakening method of cogging torque ripple are clarified. …”
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Two-stage amplification mechanism based on flexible hinge by WANG Xuecheng, ZHANG Shijun, CUI Xilong

“…Piezoelectric ceramics serve as the driving source, and a parameter optimization model was developed using Matlab software. …”
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A Joint Decoherence-Based AOA and TDOA Positioning Approach for Interference Monitoring in Global Navigation Satellite System by Wenjian Wang, Yinghong Wen, Yongxia Liu

“…Furthermore, a joint AOA and time difference of arrival (TDOA) interference localization algorithm is proposed for problems such as the lack of accuracy in a single interference source localization algorithm. Numerical simulation results show that decoherence-based AOA localization can be well applied to various interference signals, and the accuracy of the joint AOA and TDOA interference localization algorithm is higher than that of single-method interference localization. …”
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Patients' perceived needs of osteoarthritis health information: A systematic scoping review. by Louisa Chou, Lisa Ellis, Michelle Papandony, K L Maheeka D Seneviwickrama, Flavia M Cicuttini, Kaye Sullivan, Andrew J Teichtahl, Yuanyuan Wang, Andrew M Briggs, Anita E Wluka

“…<h4>Background</h4>Optimal management of osteoarthritis requires active patient participation. …”
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Robust Classification of UWB NLOS/LOS Using Combined FCE and XGBoost Algorithms by Shoude Wang, Nur Syazreen Ahmad

“…Experimental results on an open-source dataset covering seven scenarios show average accuracy, precision, recall, and F1 score of 93.2%, 94.8%, 90.3%, and 92.5%, respectively, highlighting the method&#x2019;s superior performance and robustness in diverse environments.…”
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Energy Management Considering Energy Storage and Demand Response for Smart Energy Hub in Internet of Things by Jinyong Lei, Changcheng Zhou, Xiaolin Li, Andi Huang, Hao Bai, Zhiyong Yuan, Linjie Zhou

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Measurement-Based Neural Network Technique for Modeling the Low-Frequency Electric Field Radiated Behavior of Satellite Units by Anna N. Lampou, Anargyros T. Baklezos, Konstantinos K. Spyridakis, Dimitrios A. Rigas-Papakonstantinou, Ioannis O. Vardiambasis, Christos D. Nikolopoulos

“…In this work, various ANN architectures are tested and compared in order to select the optimal <i>EDMnet</i> parameters for accurate source identification. …”
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Probabilistic phase labeling and lattice refinement for autonomous materials research by Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla P. Gomes, R. Bruce van Dover, Michael O. Thompson

“…However, rapid, automated, and reliable analysis of XRD data at rates that match the pace of experimental measurements at a synchrotron source remains a major challenge. To address these issues, we developed CrystalShift for rapid and efficient probabilistic XRD phase labeling employing symmetry-constrained optimization, best-first tree search, and Bayesian model comparison. …”
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3D Reconstruction With Spherical Cameras by Yan Cui, Qingling Chang, Qiang Liu, Xin Yang, Yajiang Huang, Shichao Chen, Fei Ren, Didier Stricker

“…In the camera locating part, we use a global descriptor augmentation model to build a labeled panorama dataset GDAP, in which the images are captured by our designed spherical cameras; In the depth estimation part, we propose a new network UMDE that can estimate the depth of both indoor and outdoor scenes; Finally, in the 3D surface reconstruction section, we turn the reconstruction problem to a graph optimization problem, called GraphFit, in which, we optimize the point clouds with s-t graph and smoothing method successively. …”
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Classifying detrital zircon U-Pb age distributions using automated machine learning by Jack W. Fekete, Glenn R. Sharman, Xiao Huang

“…In synthetic experiments, AutoML models effectively classify samples by their sources when inter-source similarity across few sources is low to moderate and samples have more than ∼50 analyses. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The URL address of the MNIST dataset is: https://gitcode.com/Resource-Bundle-Collection/d47b0/overview?utm_source=pan_gitcode&index=top&type=href&;.)…”
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Smart Attention (SAB-LSTM): A Revolutionary Model for Advanced Solar Energy Forecasting by Aljafari Belqasem, Babu Thanikanti Sudhakar

“…Solar power forecasting has a significant relevance to the optimization of energy management and to maintaining the reliability of the power systems against the growing use of renewable sources of energy globally. …”
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Development of deep learning models for high-resolution exposome mapping and health impact assessment by Lan Luan, Zhu Daoyu

“…Traditional exposome mapping methods often face limitations, such as low spatial-temporal resolution, challenges in integrating multi-modal data sources, and inadequate handling of uncertainties in exposure quantification.MethodsTo address these gaps, we introduce an innovative framework that leverages advanced deep learning techniques, adaptive optimization strategies, and multi-scale data integration to achieve high-resolution exposome modeling. …”
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Path Planning of Unmanned Autonomous Helicopter Based on Human-Computer Hybrid Augmented Intelligence by Zengliang Han, Mou Chen, Tongle Zhou, Zhiqiang Nie, Qingxian Wu

“…Firstly, an improved artificial bee colony (I-ABC) algorithm is proposed based on the dynamic evaluation selection strategy and the complex optimization method. In the I-ABC algorithm, the following way of on-looker bees and the update strategy of nectar source are optimized to accelerate the convergence rate and retain the exploration ability of the population. …”
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Research Progress on Thermal Management of Electronic Devices Based on Flat Heat Pipe Technology by Luo Song, Yan Yuhao, Ye Gongran, Zhu Jianjie, Ouyang Hongsheng, Xiao Longhuang, Han Xiaohong

“…By evaluating the internal flow and heat transfer characteristics of flat heat pipes under different capillary wick structures and cavity thicknesses, the mechanism and comprehensive optimization method of heat dissipation performance, and the design of a flat heat pipe with strong space adaptability and high heat dissipation performance compatible to different electronic device heat management requirements are still key technologies to be further developed. …”
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Amplitude and Phase Calibration with the Aid of Beacons in Microwave Imaging Radiometry by Aperture Synthesis: Algebraic Aspects and Algorithmic Implications by Eric Anterrieu

“…The performances of both amplitude and phase calibration are then assessed by means of numerical simulations with emphasis on the sensitivity of the accuracy to the inversion method as well as to various errors.…”
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Targeted proteomics for absolute quantification of glucose transporter 1 in mammalian brain cells using liquid chromatography-mass spectrometry by Yash Mehta, Dhavalkumar Patel, Iqra Pervaiz, Ulrich Bickel, Abraham Jacob Al-Ahmad

“…Taken together, we have developed and optimized a proteomic method for the absolute quantification of GLUT1 in mammalian cells, which allows an alternative method for protein quantification independent of the antibody-based ones.…”
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Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation by Malhar Khan, Muhammad Amir Raza, Muhammad Faheem, Shahjahan Alias Sarang, Madeeha Panhwar, Touqeer Ahmed Jumani

“…Compared to available research, which often reports lower accuracies for conventional techniques, our study highlights the enhanced performance of AI‐based methods. This study provides a comprehensive comparative analysis, delivering critical analysis and practical guidance for engineers and researchers in selecting the most effective MPPT controller optimized to specific environmental conditions. …”
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Distributed robust planning for new power system considering uncertainty and frequency security by Xinxin Zheng, Dahai Zhang, Zhaohong Bie, Xue Wu

“…The integration of renewable energy into the grid has increased the uncertainty of source load, posing challenges to the frequency safety of the power system. …”
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