DCT-Based White Blood Cell Image Enhancement for Recognition Using Deep Learning by Anh Quynh Vu, Hoan Quoc Bui, Long Tuan Nguyen, Tuyen Ngoc Le

“…Experimental results show that our method dramatically improves deep learning-based WBC recognition accuracy.…”
Get full text

Implementation of Du Pont Model in Non-Financial Corporations by Sylvia Jencova, Eva Litavcova, Petra Vasanicova

“…In this paper, the practical application of the dynamic decomposition of the return on equity is used on the basis of the ratio indicators. …”
Get full text

Multiple-Cumulant-Matrices-Based Method for Exact NF Polarization Localization with COLD Array by Jiefeng Zheng, Haifen Meng, Zhuang Luo, Huayue Wu, Weiyue Liu, Hua Chen

“…Based on an exact spherical wavefront model, this paper proposes a multiple-cumulant-matrices-based method for NF source localization using a Co-centered Orthogonal Loop and Dipole (COLD) array. …”
Get full text

Homotopy Analysis Transform Method for Solving Systems of Fractional-Order Partial Differential Equations by Fang Wang, Qing Fang, Yanyan Hu

“…Additionally, when the convergence parameter <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>ℏ</mo><mo>=</mo><mo>−</mo><mn>1</mn></mrow></semantics></math></inline-formula>, both the homotopy perturbation method and the Adomian decomposition method emerge as special cases of the proposed method. …”
Get full text

Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…Then, a pointer network with a local selection mechanism and a rough pruning mechanism is constructed as the sequencing network to generate an executable task sequence in the task sequencing stage. Next, a decomposition strategy decomposes the executable task sequence into multiple sub-sequences in the observation scheduling stage, and the observation scheduling process of these sub-sequences is modeled as a concatenated Markov decision process. …”
Get full text

MODELING THE TRANSFER EFFECT OF EXCHANGE RATE ON PRICES IN RUSSIA by M. G. Tiunova

“…The study is based on the apparatus of structural vector autoregressions, evaluated using Bayesian methods. The structural identifcation of the model is carried out by the recursive ranking of variables and decomposition of structural shocks elaborated by André-Louis Cholesky. …”
Get full text

Model-Based Deep Network for Single Image Deraining by Pengyue Li, Jiandong Tian, Yandong Tang, Guolin Wang, Chengdong Wu

“…In this paper, we use the screen blend model of Photoshop as the nonlinear rainy image decomposition model. …”
Get full text

MODELING OF ANISOTROPIC GROWTH AND RESIDUAL STRESSES IN ARTERIAL WALLS by Anna Zahn, Daniel Balzani

“…In combination with an anisotropic driving force, the model enables an effective stress reduction due to growth-induced residual stresses. …”
Get full text

Construction control of cable-stayed bridge top push method based on BIM technology by Chengyong Chen, Wenming Su, Wenqiang Dou, Yongquan Dong, Ben Zhang

“…Abstract This research focuses on enhancing the precision and management of the top push method in cable-stayed bridge construction through the application of building information modeling (BIM) technology. …”
Get full text

Groundwater Depth Forecasting Using a Coupled Model by Manfei Zhang, Yimeng Wang, Xiao Wang, Weibo Zhou

“…In this paper, a new method based on coupling wavelet decomposition method (WA), autoregressive moving average (ARMA) model, and BP neural network (BP) model for groundwater depth forecasting applications was proposed. …”
Get full text

A Survey of Post-Hoc XAI Methods From a Visualization Perspective: Challenges and Opportunities by Deepshikha Bhati, MD Amiruzzaman, Ye Zhao, Angela Guercio, Tram Le

“…Post-hoc explanation methods interpret deep learning predictions by uncovering the significance of input features, while visualization tools can contribute to a deep understanding of AI model reasoning based on these methods. …”
Get full text

Sines, transient, noise neural modeling of piano notes by Riccardo Simionato, Stefano Fasciani

“…This article introduces a novel method for emulating piano sounds. We propose to exploit the sine, transient, and noise decomposition to design a differentiable spectral modeling synthesizer replicating piano notes. …”
Get full text

A survey of data-driven fault-diagnosis methods for large-scale industrial production processes by Qianxiang YU, Qing LI, Linlin LI, Yixuan WANG

“…Traditional fault-diagnosis methods based on mechanism have limited applications because precise modeling of the systems considered is required. …”
Get full text

Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The experimental results show that the method can effectively extract fault features in noise-covered signals, and the accuracy is also significantly improved compared with traditional methods.…”
Get full text

A Data-Driven Observer for Wind Farm Power Gain Potential: A Sparse Koopman Operator Approach by Yue Chen, Bingchen Wang, Kaiyue Zeng, Lifu Ding, Yingming Lin, Ying Chen, Qiuyu Lu

“…This method lifts the low-dimensional wind direction input into a high-dimensional space of observable functions and then employs iterative sparse regression to identify a minimal, interpretable linear model in this lifted space. …”
Get full text

Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM by WU Xiaojun, LI Quwei

“…At the same time, the original diagnostic signals were feature extracted through wavelet packet decomposition and divided into 10 categories. The energy of each frequency band in the 3rd layer was used as the feature vector and input into the fault diagnosis model. …”
Get full text

Research on scraper conveyor load prediction method based on wavelet transform and BP neural network by Dan Zhang, Jiafeng Qin, Weidong Wu, Yongtao Zhu, Weijie Guo

Get full text

WORK OF A HIGHER EDUCATIONAL INSTITUTION MULTIDISCIPLINARY DEPARTMENT ON THE FORMATION OF PROFESSIONAL COMPETENCES OF FUTURE ELEMENTARY SCHOOL TEACHERS by E. G. Gutsu, E. I. Smirnova

Get full text

Kinematic Calibration of Industrial Robots Based on Distance Information Using a Hybrid Identification Method by Guanbin Gao, Yuan Li, Fei Liu, Shichang Han

“…The singular value decomposition (SVD) is used to eliminate the redundant parameters of the error model. …”
Get full text

Analytical investigation on resolution calculation method for nonlinear temperature load of steel-concrete composite girders by Chun-Ming Zhang, Wei-Hong Wu, Wei Xian, Wei Xian

Get full text