Combined contour error control method for five-axis machine tools based on digital twin by Liuquan Wang, Ruijie Yang, Shisheng Lv, Zhiqi Yang, Shuwei Xin, Yanqiang Liu, Qiang Liu

“…After obtaining the tool path input, the digital twin performs interpolation and applies model predictive pre-compensation control to the interpolated commands to control modeled errors. …”
Get full text

Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

“…Employing the next‐generation matrix approach, a basic reproduction number R0 of 1.005341 was calculated, suggesting that without robust public health interventions, TB disease may persist in Kenya. The model equations were solved numerically using fourth‐ and fifth‐order Runge–Kutta methods, with the forward–backward sweep technique applied to the optimal control problem. …”
Get full text

Neutron angular flux reconstruction in slab geometry using multigroup discrete ordinates transport models by F. T. C. S. Balbina, R. C. Barros, H. Alves Filho

Get full text

The correlation between low-carbon economy and energy technology innovation in the Yangtze River Delta region under spatial econometric methods by Shengdi Zhang, Shengdi Zhang, Jiachen Wang

“…Then, using spatial econometric methods, a spatial model was constructed to explore the spatial effects between the two in depth.ResultsResearch data showed that, taking adjacency matrix as an example, when the level of energy technology innovation increased by 1%, the low‐carbon economic development level in the Yangtze River Delta region would increase by 21.15%. …”
Get full text

Speech enhancement method based on multi-domain fusion and neural architecture search by Rui ZHANG, Pengyun ZHANG, Chaoli SUN

“…In order to further improve the self-learning and noise reduction ability of speech enhancement model, a speech enhancement method based on multi-domain fusion and neural architecture search was proposed.The multi-spatial domain mapping and fusion mechanism of speech signals were designed to realize the mining of real complex number correlation.Based on the characteristics of convolution pooling of the model, a complex neural architecture search mechanism was proposed, and the speech enhancement model was constructed efficiently and automatically through the designed search space, search strategy and evaluation strategy.In the comparison and generalization experiment between the optimal speech enhancement model and the baseline model, the two indexes of PESQ and STOI increase by 5.6% compared with the optimal baseline model, and the number of model parameters is the lowest.…”
Get full text

STUDY, FORECAST AND CONTROLLED SEISMIC HAZARD REDUCTION IN THE IDENTIFIED SEGMENTS OF THE MAIN FAULTS BY CYCLIC INJECTION OF FLUID THROUGH DEEP MULTI-BRANCH DIRECTIONALLY INCLINED... by V. V. Ruzhich, A. G. Vakhromeev, S. A. Sverkunov, V. M. Ivanishin, R. H. Akchurin, E. A. Levina

Get full text

Mental Disorder Assessment in IoT-Enabled WBAN Systems with Dimensionality Reduction and Deep Learning by Damilola Olatinwo, Adnan Abu-Mahfouz, Hermanus Myburgh

Get full text

AdvFaceGAN: a face dual-identity impersonation attack method based on generative adversarial networks by Hong Huang, Yang Yang, Yunfei Wang

“…Innovatively, we incorporate source identity loss into the identity loss calculation, discovering that minor reductions in target identity similarity can be traded for significant improvements in source identity similarity, thus making the adversarial faces generated by our method highly similar to both the source identity and the target identity, addressing limitations in existing impersonation attack methods. …”
Get full text

Multidimensional State Data Reduction and Evaluation of College Students’ Mental Health Based on SVM by Han Peiqing

“…In response to the shortcomings of the traditional methods for evaluating the mental health status of college students in terms of computational complexity and low accuracy, a method for evaluating the mental health status of college students based on data reduction and support vector machines was proposed. …”
Get full text

A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction by Xincan Wen, Hongbing Ma, Liangliang Li

“…The effectiveness of the proposed model is further supported by experimental results using both simulated data and real data from the QuickBird, GaoFen1, and WorldView2 satellites; these results show that the proposed model outperforms deep-learning-based methods in both visual and quantitative assessments. …”
Get full text

Bicycle-inspired simple balance control method for quadruped robots in high-speed running by Shoei Hattori, Shoei Hattori, Shoei Hattori, Shoei Hattori, Shura Suzuki , Akira Fukuhara , Takeshi Kano , Akio Ishiguro 

Get full text

Catalytic reduction of p-nitrophenol and Eosin Yellow by lemongrass tea-stabilized copper nanoparticles by Amanda R. Kale, Gillian A. Ferko, Sarah K. St. Angelo

“…This copper nanoparticle catalyst prepared via green synthesis demonstrates reproducible reduction behavior for two model reactions and observed rate constants that compare favorably with other copper nanoparticle catalysts, particularly in terms of rate constants normalized for available surface area and including catalysts produced via traditional synthetic methods.…”
Get full text

Constrained search space selection based optimization approach for enhanced reduced order approximation of interconnected power system models by Bala Bhaskar Duddeti, Asim Kumar Naskar, V. P. Meena, Jitendra Bahadur, Ibrahim A. Hameed

Get full text

Temporal Data Set Reduction Based on D-Optimality for Quantitative FLIM-FRET Imaging. by Travis Omer, Xavier Intes, Juergen Hahn

“…Fluorescence lifetime imaging (FLIM) when paired with Förster resonance energy transfer (FLIM-FRET) enables the monitoring of nanoscale interactions in living biological samples. FLIM-FRET model-based estimation methods allow the quantitative retrieval of parameters such as the quenched (interacting) and unquenched (non-interacting) fractional populations of the donor fluorophore and/or the distance of the interactions. …”
Get full text

Study on the delineation method of riverine water source protection zones in the Qujiang River Basin by ZHANG Jing, CAI Guanjie, LIU Junzheng, ZHANG Xinhua, MA Bing, SUN Tao, Yasmina TIR

“…【Method】Based on hydrological modeling, this method integrates geographic and ecological attributes to establish a refined framework for delineation. …”
Get full text

Enhancing Security in Industrial IoT Networks: Machine Learning Solutions for Feature Selection and Reduction by Ahmad Houkan, Ashwin Kumar Sahoo, Sarada Prasad Gochhayat, Prabodh Kumar Sahoo, Haipeng Liu, Syed Ghufran Khalid, Prince Jain

“…By comparing these methods, it showcases their influence on both model performance and complexity, leading to the development of more efficient and precise intrusion detection systems for Industrial IoT networks. …”
Get full text

Joint Sparse Local Linear Discriminant Analysis for Feature Dimensionality Reduction of Hyperspectral Images by Cong-Yin Cao, Meng-Ting Li, Yang-Jun Deng, Longfei Ren, Yi Liu, Xing-Hui Zhu

“…To address these drawbacks, this paper proposes a novel joint sparse local linear discriminant analysis (JSLLDA) method by integrating embedding regression and locality-preserving regularization into the LDA model for feature dimensionality reduction of HSIs. …”
Get full text

Speckle Noise Reduction for Medical Ultrasound Images Using Hybrid CNN-Transformer Network by Anparasy Sivaanpu, Kumaradevan Punithakumar, Rui Zheng, Michelle Noga, Dean Ta, Edmond H. M. Lou, Lawrence H. Le

“…Both results showed that HCTSpeckle significantly enhanced the ultrasound image quality and outperformed state-of-the-art methods in noise reduction and structure preservation across all four datasets. …”
Get full text

Impacts of inter-train distances on aerodynamic drag reduction in heavy-haul train groups by LYU Jun, XIANG Tao, SONG Zongying, GAO Guangjun

“…This paper analyzes the impacts of inter-train distances in this operational mode on the aerodynamic characteristics of trailing trains, using computational fluid dynamics (CFD) methods, based on the SST <italic>k</italic>-<italic>ω</italic> turbulence model. …”
Get full text

Estimation of Ca2+ wet deposition in the Northern Hemisphere by use of CNN deep-learning model by Wanying Chen, Xingcheng Lu, Chaofan Xian, Xu Sun, Yiang Chen, Mingyun Hu, Geng Li, Jimmy C.H. Fung

Get full text