Investigations of Roughness Evolution in Uniaxial and Biaxial Stretching of Interstitial Free - IF Steel Sheet by Bressan José Divo, Unfer Ricardo Kirchoff

“…From these data, comparison of experimental and predicted local necking curve, FLC-N, by the strain gradient model, using Barlat's Yld 2000-2d yield function, and experimental FLW were plotted. …”
Get full text

Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…However, it also requires sampling from a continuous acquisition function, which can be challenging even for advanced Monte Carlo methods due to its highly multimodal nature, constrained search space, and possibly numerically unstable values. …”
Get full text

Consistent Conditional Moment Closure Modelling of a Lifted Turbulent Jet Flame Using the Presumed β-PDF Approach by Ahmad El Sayed, Roydon A. Fraser

“…The conditional velocity (CV) and the conditional scalar dissipation rate (CSDR) submodels are chosen such that they are fully consistent with the moments of the presumed β probability density function (PDF). The CV is modelled using the PDF-gradient diffusion model. …”
Get full text

Respiratory Motion Correction for Compressively Sampled Free Breathing Cardiac MRI Using Smooth l1-Norm Approximation by Muhammad Bilal, Jawad Ali Shah, Ijaz M. Qureshi, Kushsairy Kadir

“…In the first step, compressively sampled MR images are recovered by solving an optimization problem using gradient descent algorithm. The L1-norm based regularizer, used in optimization problem, is approximated by a hyperbolic tangent function. …”
Get full text

Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram by PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu

“…The cost function was derived from the characteristics of the segmented point clouds, which improves the robustness of the shape estimation algorithm. …”
Get full text

Optimized Synthetic Correlated Diffusion Imaging for Improving Breast Cancer Tumor Delineation by Chi-en Amy Tai, Alexander Wong

“…More specifically, we optimize the coefficients of the calibrated signal mixing function in the CDI^s protocol that controls the contribution of different gradient pulse strengths and timings by maximizing the area under the receiver operating characteristic curve (AUC) across a breast cancer patient cohort. …”
Get full text

An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy by Zhaopeng He, Tielin Shi, Xu Chen

“…SSAE models with different activation function configurations of hidden layers were utilized to construct deep neural network models with different prediction performance, which were taken as primary learners of integrated deep learning model. …”
Get full text

Retinal Vessel Segmentation Using Math-Inspired Metaheuristic Algorithms by Mehmet Bahadır Çetinkaya, Sevim Adige

“…Finally, detailed convergence analyses were also carried out in terms of the convergence speed, mean squared error (MSE), CPU time, and number of function evaluations (NFEs) metrics.…”
Get full text

A lightweight object detection approach based on edge computing for mining industry by Muhammad Wahab Hanif, Zhanli Li, Zhenhua Yu, Rehmat Bashir

“…Detection performance is enhanced by incorporating a Pixel‐wise Normalization Spatial Attention Module (PN‐SAM) into the MobileNet‐v3 bneck structure and replacing the h‐swish activation function with Mish, providing more prosperous gradient information transfer. …”
Get full text

Traumatic arteriovenous fistula of the left ulnar artery and vein by Obiozor AA, Obiozor DC

“…Blood tests showed normal renal function with no evidence of infection or inflammation. …”
Get full text

The First-Principles Investigation of Structural Stability, Mechanical, Vibrational, Thermodynamic, and Optical Properties of CaHfS3 for Optoelectronic Application by Mulugetta Kassa, Nebiyu Debelo, Menberu Woldemariam

“…Finally, the absorption coefficient, dielectric constant, energy loss function, reflectivity, and refractive index are discussed in detail in the spectral range 0–1.6 Ry (21.77 eV). …”
Get full text

Elastic regularization networks for enhanced UAV visual tracking by Qingjiao Meng, Ji Li, Yan Jin, Zhaotian Deng

“…An elastic regularization network is introduced, enforcing sparsity and temporal smoothness in the objective function. This network is optimized using the augmented Lagrangian method to enhance the efficiency of the discriminative tracker. …”
Get full text

The freshwater sponge Ephydatia fluviatilis harbours diverse Pseudomonas species (Gammaproteobacteria, Pseudomonadales) with broad-spectrum antimicrobial activity. by Tina Keller-Costa, Alexandre Jousset, Leo van Overbeek, Jan Dirk van Elsas, Rodrigo Costa

“…Pseudomonas species (Gammaproteobacteria, Pseudomonadales) are capable of colonizing a broad range of eukaryotic hosts, but knowledge of their diversity and function in freshwater invertebrates is rudimentary. …”
Get full text

Multi-Scale Construction Site Fire Detection Algorithm with Integrated Attention Mechanism by Haipeng Sun, Tao Yao

“…Finally, the WIoUv3 metric is adopted in the loss function for bounding box regression to mitigate harmful gradient issues. …”
Get full text

Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

“…We introduce a specialized Loss function, based on the MaliGAN model, which directs the discriminator to guide the generator towards producing texts that not only align closely with individual word accuracy but also maintain overall semantic coherence. …”
Get full text

LM-CycleGAN: Improving Underwater Image Quality Through Learned Perceptual Image Patch Similarity and Multi-Scale Adaptive Fusion Attention by Jiangyan Wu, Guanghui Zhang, Yugang Fan

“…At the same time, the Learned Perceptual Image Patch Similarity (LPIPS) is introduced into the loss function to make the training process more focused on the structural information of the image. …”
Get full text

H∞ Consensus Design and Online Scheduling for Multiagent Systems with Switching Topologies via Deep Reinforcement Learning by Haoyu Cheng, Ruijia Song, Linpeng Xu, Di Zhang, Shengli Xu

“…Then, the multiple Lyapunov function (MLF) method and mode-dependent average dwell time (MDADT) method are combined to ensure the stability and weighted H∞ disturbance attenuation index of reduced-order systems. …”
Get full text

Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…Age, obesity, and abnormal liver function tests were the top determinants in assigning NASH probability…”
Get full text

Influence of Electric Field in the Adsorption of Atomic Hydrogen on Graphene by C. Cab, R. Medina-Esquivel, C. Acosta, J. Mendez-Gamboa, F. Peñuñuri, A. Tapia

“…The influence of external electric field (EF) in the adsorption of atomic hydrogen on graphene (H/G) was studied by means of electronic structure calculations based on spin-polarized density functional theory with generalized gradient approximation (GGA). …”
Get full text

Molecular mechanism of hypoxia-induced spermatogenesis impairment by inhibiting the stability of sperm cilial microtubules by WANG Xiao, ZHANG Mengjie, DENG Fang

“…Objective‍　‍To explore the effects of hypoxia on spermatid differentiation and stability of sperm flagellar microtubule, and investigate the underlying molecular mechanisms in order to clarify the potential adverse effects of hypoxia on male reproductive function. Methods‍　‍Forty-eight 8-week-old healthy male SD rats (weighing 300~399 g) were subjected in this study. …”
Get full text