Parallel and distributed chimp-optimized LSTM for oil well-log reconstruction in China by Zisong Wang, Zhiliang Cheng, Wenxiang Wang, Xiujian Ding, Lu Xia

“…This study tackles this problem by devising a deep Long Short-Term Memory (LSTM) model that uses the new Parallel and Distributed Chimp Optimization Algorithm (PDCOA). …”
Get full text

Object Tracking with Adaptive Multicue Incremental Visual Tracker by Jiang-tao Wang, De-bao Chen, Jing-ai Zhang, Su-wen Li, Xing-jun Wang

“…Generally, subspace learning based methods such as the Incremental Visual Tracker (IVT) have been shown to be quite effective for visual tracking problem. However, it may fail to follow the target when it undergoes drastic pose or illumination changes. …”
Get full text

Offline Handwritten Chinese Character Recognition Based on DBN and CNN Fusion Model by LI Lanying, ZHOU Zhigang, CHEN Deyun

“…Aiming at the problem that some offline handwritten Chinese characters are similar in shape and it is difficult to extract the feature of characters and the recognition is not accurate, a convolutional neural network and deep belief network fusion model is proposed Firstly, the convolutional neural network and the deep belief network are trained on the dataset respectively It is found that the comprehensive TOP-2 accuracy of the both can reach 99.33% Using the advantages of convolutional neural networks and deep belief networks in image analysis, a fusion comparison strategy is adopted to extract a classification result as accurately as possible in the TOP-2 classification of the two to improve the recognition ability The experimental results show that the fusion model of convolutional neural network and deep belief network has better recognition effect than convolutional neural network and deep belief network…”
Get full text

Face expression recognition using LDN and Dominant Gradient Local Ternary Pattern descriptors by I. Michael Revina, W.R. Sam Emmanuel

“…The histogram features are extracted from face images using the LDN and DGLTP descriptors. …”
Get full text

Asymptotic second moment of Dirichlet L-functions along a thin coset by Bradford Garcia, Matthew P. Young

“…The lower-order main term does not appear in the second moment of the Riemann zeta function, so this feature is not anticipated from the analogous archimedean moment problem.…”
Get full text

WAIVER OF FIRST REFUSAL RIGHT IN LIMITED LIABILITY COMPANY: THEORETICAL AND PRACTICAL FLAWS OF RUSSIAN APPROACH by GORDIENKO D.A

“…Comprehensive review of the problem leads to the conclusion that a right of first refusal is not an immanent feature of a closed corporation, due to the limited scope of its impact on the interests of the latter. …”
Get full text

Lack of Method, Physicalism Approach and Lack of Phenomenological Perspective in Philosophy of Superstitions by Mahmood Hedayatafza, Rasool Rasoolipour

“…Meanwhile, the most important problem is concerned with the “definition of superstition”. …”
Get full text

Multiple-Image Encryption Mechanism Based on Ghost Imaging and Public Key Cryptography by Leihong Zhang, Xiao Yuan, Kaimin Wang, Dawei Zhang

“…In addition, randomness in the permutation operation and public key cryptography provide a strong security feature for the encryption system. The multiple-image encryption scheme solves the crosstalk problem among images. …”
Get full text

Coupling and particle number intertwiners in the Calogero model by Francisco Correa, Luis Inzunza, Olaf Lechtenfeld

“…Abstract It is long known that quantum Calogero models feature intertwining operators, which increase or decrease the coupling constant by an integer amount, for any fixed number of particles. …”
Get full text

Servitization of Job Shop Scheduling Algorithms by LIU Sheng-hui, ZHANG Xing, ZHANG Shu-li, MA Chao

“…The scheduling algorithm resources are not yet fully shared betwwen manufacturing execution system, and it is difficult to efficiently select the appropriate scheduling algorithm for scheduling problem from the candidate scheduling resources. …”
Get full text

Extraction of blurred infrared targets based on a manifold regularized multiple-kernel model by YANG Dao, FU Dong-mei

“…Specific to the problem of infrared target extraction with blurred edges,this article introduces an extraction method based on a manifold regularized multiple kernel semi-supervised classification model.Firstly,the maximum variance of inter-class(OTSU) method is used to compute the initial segmentation threshold,and the certain target and background areas and the uncertain blurred edge area are determined.Then,local space sets of pixels are constructed in each area,the multiple-kernel functions are used to map the grayscale mean and variance in local space,and the location information feature in local space is obtained by manifold regularization(MR).On the basis of features,a semi-supervised classification model is established to classify the local space sets of pixels in the blurred edge area.Finally,the optimal segmentation threshold is computed.Experiments with comparisons show that this method is efficient and less in time-consuming.…”
Get full text

Image Reconstruction Algorithm Based on Extreme Learning Machine for Electrical Capacitance Tomography by SU Ziheng, CHEN Deyun, WANG Lili

“…Aiming at the problem that the traditional ECT is not accurate in complex situations, this paper proposes a depth learning based inversion method Through the improvement and optimization of the traditional extreme learning machine, the image feature information obtained by the reconstructed image method is used as the training data, and the result obtained by inputting the data into the predictive model is used as the prior information The cost function is used to encapsulate the prior knowledge and domain expertise, and spatial regularizers and time regularizers are introduced to enhance sparsity The separated Bregman (SB) algorithm and the iterative shrinkage threshold (FIST) method are used to solve the specified cost function The final imaging result is obtained The simulation results show that the image reconstructed by this method has less than 10% error compared with the original flow pattern, and reduces artifacts and distortion, which improves the reconstructed image quality…”
Get full text

On Summation of Fourier Series in Finite Form Using Generalized Functions by Ksaverii Malyshev, Mikhail Malykh, Leonid Sevastianov, Alexander Zorin

“…The problem of obtaining a final expression for a function initially given in the form of a trigonometric Fourier series is considered. …”
Get full text

Digitizing the trails; the design of a low-cost wearable camera rig and development of a computer vision tree species detection model by N. W. G. Trump

“…Pathway width of the existing trails was extracted using a linear feature extraction tool to create detailed base map drawings for the client. …”
Get full text

Multiple-Frequency Controlled Synchronization of Two Homodromy Eccentric Rotors in a Vibratory System by Lei Jia, Xiangxi Kong, Juqian Zhang, Yunshan Liu, Bangchun Wen

“…So, the model of the vibrating screen is converted to a synchronization motion problem. Firstly, the mechanical-electromagnetic coupling dynamical model of the vibrating system is established. …”
Get full text

Functional and structural connectivity of the subregions of the amygdala in ADHD children with or without ODD by Zhao-Min Wu, Peng Wang, Xue-Chun Liu, Qing-Chao Zhou, Xiao-Lan Cao, Li Sun, Lu Liu, Qing-Jiu Cao, Li Yang, Yu-Feng Wang, Ying Qian, Bin-Rang Yang

“…The altered SC was associated with emotional problems in children with ADHD, while the altered FC was associated with other ADHD-related clinical features. …”
Get full text

YOLOv5 garbage classification method with GhostNet by Li Yao, Hu Junguo, Le Yang

“…By adding an improved version of channel attention module to the network, the important channel features are strengthened and more deep-level feature information is obtained. …”
Get full text

Flexible Job Shop Scheduling with Job Precedence Constraints: A Deep Reinforcement Learning Approach by Yishi Li, Chunlong Yu

“…The flexible job shop scheduling problem with job precedence constraints (FJSP-JPC) is highly relevant in industrial production scenarios involving assembly operations. …”
Get full text

Possible use of spermatogonial stem cells in the treatment of male infertility by N. N. Skaletsky, G. N. Skaletskaya, V. I. Sevastianov

“…This review focuses on the problem of obtaining and preserving spermatogonial stem cells for future transplantation to restore spermatogenesis. …”
Get full text

Bifurcation analysis of fractional Kirchhoff–Schrödinger–Poisson systems in $\mathbb R^3$ by Linlin Wang, Yuming Xing

“…We show that the existence of components of (weak) solutions of the above equation bifurcates out from the first eigenvalue $\lambda_1$ of the problem $$(-\Delta)^s u+V(x)u=\lambda g(x)u\quad\mbox{in }\mathbb R^3.$$ The main feature of this paper is the inclusion of a potentially degenerate Kirchhoff model, combined with the critical nonlinearity.…”
Get full text