General hyperbolic Kirchhoff model for the free vibration of elastic string on a flat surface by Fatima Ezahra Bentata, Ievgen Zaitsev

“…This ensures the existence of a minimizer for the discretized functional, which in turn serves as a weak solution to the main problem. …”
Get full text

Electronic Structures of S/C-Doped TiO2 Anatase (101) Surface: First-Principles Calculations by Qili Chen, Min Liu, Kaihua He, Bo Li

“…The electronic structures of sulfur (S) or carbon (C)-doped TiO2 anatase (101) surfaces have been investigated by density functional theory (DFT) plane-wave pseudopotential method. …”
Get full text

First Principle Study of the Attachment of Graphene onto Different Terminated Diamond (111) Surfaces by S. Zhao, K. Larsson

“…The adhesion of a graphene monolayer onto terminated or 2x1-reconstructed diamond (111) surfaces has in the present study been theoretically investigated by using a Density Functional Theory (DFT) method. H, F, O, and OH species were used for the surface termination. …”
Get full text

Marangoni-driven self-assembly of hierarchical PAO/PVA membranes for highly efficient uranium extraction from seawater by Ai Jiayi, Zhang Jiacheng, Cao Xuewen, Du Jianfei, Tian Xuefeng, Yuan Yihui, Wang Ning

“…This strategy constructs hierarchically porous structures with gradient pore sizes, promoting efficient ion transport and access to functional adsorption sites. …”
Get full text

3D printing of bimetallic materials: characteristics and performance by A. El aoudi, A. Ouballouch, M. Nassraoui

“…This research highlights the potential of researching on materials with gradient properties and numerical simulation in future development of additive manufacturing of bimetallic and related alloys.…”
Get full text

A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter by LYU Gexing, ZHU Qi

“…However, when a DC-link capacitor is exposed to high temperature and high pressure for a long time, its equivalent series resistance(ESR) will gradually increase, and the capacitor will gradually fail to meet the functional requirements, thus affecting the reliability of the converter. …”
Get full text

Three-Dimensional Spatio-Temporal Slim Weighted Generative Adversarial Imputation Network: Spatio-Temporal Silm Weighted Generative Adversarial Imputation Net to Repair Missing Oce... by Yiwan Yue, Juan Li, Yu Zhang, Meiqi Ji, Jingyao Zhang, Rui Ma

“…Additionally, a spatio-temporal continuity loss function is designed to ensure the physical rationality of the data. …”
Get full text

Integrated Guidance and Control for Strap-Down Flight Vehicle: A Deep Reinforcement Learning Approach by Qinglong Zhang, Bin Zhao, Yifu Jiang, Jingyan Zhang, Jiale Zhang

“…Additionally, this function mitigates the issue of sparse rewards to some extent. …”
Get full text

RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

“…This module makes the spatial semantic features uniformly distributed to each feature group through partial channel reconstruction and feature grouping, which emphasizes the interaction of spatial channels, improves the ability to detect subtle differences, can effectively discriminate the apple occlusion, and reduces the computational cost. Finally, the loss function of YOLOv8 is improved using the Wise Intersection over Union (WIOU) function, which not only simplifies the gradient gain assignment mechanism and improves the ability to detect targets of different sizes, but also accelerates the model optimization. …”
Get full text

3DMeshNet: A three-dimensional differential neural network for structured mesh generation by Jiaming Peng, Xinhai Chen, Jie Liu

“…To enhance training stability and accelerate convergence, we integrate loss function reweighting through weight adjustments and gradient projection alongside applying finite difference methods to streamline derivative computations in the loss. …”
Get full text

Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks by Timotei Lala

“…Our findings extend previous research on the stability of online adaptive ADHDP learning with single-hidden-layer NNs by addressing the case of deep neural networks with an arbitrary number of hidden layers, updated offline using batched gradient descend updates. Specifically, our work shows that the learning process of the action value function and controller under BOADHDP is uniformly ultimately bounded (UUB), contingent on certain conditions related to NN learning rates. …”
Get full text

Accelerating and decelerating flow of radiatively Casson fluid between two permeable disks under convective boundary conditions by A. Naeem, Z. Abbas, M.Y. Rafiq

“…Thus, the Jacobi elliptic sine squared function is used to derive the analytical solution of accelerating and decelerating flow. …”
Get full text

K0 test and particle flow simulation of coral sands with different gradations by Ruiyuan Zhang, Yongtao Zhang, Peishuai Chen, Fuquan Ji, Huiwu Luo, Yu Zhong, Yu Zhong

“…The results reveal that the K0 values of coral sands in dry and saturated states range from 0.22 to 0.32 and 0.27 to 0.33, respectively, and that there is an exponential function relationship between the particle gradation and the K0. …”
Get full text

Modelling multi-pulse population dynamics from ultrafast spectroscopy. by Luuk J G W van Wilderen, Craig N Lincoln, Jasper J van Thor

“…Any time-dependent dataset can be analysed to extract time-independent correlations of the observables by using gradient or direct search methods. Specific capabilities (i.e. chirp and instrument response function) for the analysis of ultrafast pump-probe spectroscopic data are included. …”
Get full text

Multi-Dimensional Motion Parameter Estimation of a Rotating Object Based on Orbital Angular Momentum by Bowen He, Kun Tang, Guiping Jin, Yuehui Cui

“…A weighted iterative gradient algorithm is then applied to solve this function, ultimately obtaining the inclination angle. …”
Get full text

Inversion of Magnetic Anomaly Based on Cross Attention Transformer by Juntao Lei, Jieru Chi, Shandong Li

“…This module is devised to integrate the multi-scale features from each stage of the encoder, facilitating the decoder to achieve high-precision inversion. 3) We propose a forward constraint loss function. During network training, this loss function ensures that the inversion results adhere to geophysical principles. …”
Get full text

Reinforcement Learning-Based Control for Robotic Flexible Element Disassembly by Benjamín Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Carlos Calleja, Itziar Cabanes

“…The adaptive reward function further enhances the ability of the robotic system to generalize across a range of flexible element disassembly tasks, making it a promising solution for real-world applications.…”
Get full text

Using deep learning to capture gravel soil microstructure and hydraulic characteristics by Bin Zhu, Yu-Fei Xie, Xiang-Gang Hu, Dai-Rong Su

“…The results demonstrated a high consistency between the reconstructed model of gravel soil realizations and the original samples in terms of porosity, two-point correlation function, linear path function, specific surface, and Euler characteristics number. …”
Get full text

An Accelerated Editing Method for Stress Signal on Combine Harvester Chassis Using Wavelet Transform by Shengcao Huang, Zihan Yang, Zhenghe Song, Zhiwei Yu, Xiaobo Guo, Du Chen

“…Additionally, we also found that an appropriate selection of the wavelet function’s vanishing moment can further reduce the time-domain signal length of the accelerated result by 4.8%. …”
Get full text

An Extended Closure Relation by LightGBM for Neutrino Radiation Transport in Core-collapse Supernovae by Shota Takahashi, Akira Harada, Shoichi Yamada

“…We use not only the zeroth and first moments of the neutrino distribution function in momentum space as in ordinary closure relations, but also information on the background matter configuration extensively. …”
Get full text