A Parameter-Optimized DBN Using GOA and Its Application in Fault Diagnosis of Gearbox by Jingbo Gai, Junxian Shen, He Wang, Yifan Hu

“…Aiming at the problems of poor self-adaptive ability in traditional feature extraction methods and weak generalization ability in single classifier under big data, an internal parameter-optimized Deep Belief Network (DBN) method based on grasshopper optimization algorithm (GOA) is proposed. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…CSA is used to tune the network weights and feature parameters worldwide to improve the neural model’s convergence speed and predictive ability. …”
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Multiview attention networks for fine-grained watershed categorization via knowledge distillation. by Huimin Gong, Cheng Zhang, Jinlin Teng, Chunqing Liu

“…With the rapid development of artificial intelligence technology, an increasing number of village-related modeling problems have been addressed. However, first, the exploration of village-related watershed fine-grained classification problems, particularly the multi-view watershed fine-grained classification problem, has been hindered by dataset collection limitations; Second, village-related modeling networks typically employ convolutional modules for attentional modeling to extract salient features, yet they lack global attentional feature modeling capabilities; Lastly, the extensive number of parameters and significant computational demands render village-related watershed fine-grained classification networks infeasible for end-device deployment. …”
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The theory and practice of state regulations of entrepreneurship

“…Article is devoted problems of state regulation of business. The essence of this mechanism, its feature, the purpose and a problem is considered. …”
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Voice Identification Using MFCC and Vector Quantization by Bassel Alkhatib, Mohammad Madian Waleed Kamal Eddin

“…The speaker identification is one of the fundamental problems in speech processing and voice modeling. The speaker identification applications include authentication in critical security systems and the accuracy of the selection. …”
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Structural reinforcement-based graph convolutional networks by Jisheng Qin, Qianqian Wang, Tao Tao

“…Graph Convolutional Network (GCN) is a tool for feature extraction, learning, and inference on graph data, widely applied in numerous scenarios. …”
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Attribute-based multi-keyword searchable encryption scheme based on counting Bloom filters by Zhidan LI, Yongqun CHEN, Wei WANG

“…To address the problems of low retrieval efficiency of searchable encryption scheme under traditional public key cryptosystem, high storage overhead of keyword index, and index does not support dynamic update, based on the good space and time efficiency of counting Bloom filter to determine whether an element belongs to a certain set, the feature into searchable encryption was applied to establish keyword index, thus, the keyword set was mapped into a binary vector, thereby reducing the keyword storage cost.Simultaneously, the feature of counting Bloom filter can be deleted was used to realize the dynamic update of keyword index.In addition, to prevent adversaries from inferring keyword plaintext information from binary vectors through statistical analysis, the binary vector was blinded by permutation, and then the permutation was encrypted by attribute-based encryption for secret sharing.After legitimate users generated keyword traps correctly, the service provider helped users complete keyword matching queries based on the user’s keyword trapdoor.Finally, the security and efficiency of the scheme were proved through security analysis and simulation experiments.…”
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Application of Deep Support Vector Machine in Gear Fault Diagnosis by Lei Yu, Sen Chen, Rui Zhang, Ke Li, Lei Su

“…Gearbox fault diagnosis has problems in early feature extraction of non-stationary weak fault signals, vulnerability to strong background noise, and low accuracy of fault diagnosis. …”
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Long-term prediction for VBR video traffic based on wavelet packet decomposition by CHEN Jian1, WEN Ying-you1, ZHAO Da-zhe1, LIU Ji-ren1

“…Long-term prediction is one of the most difficult problems in the area of VBR video traffic prediction.As to the time variation,non-linearity and long range dependence in VBR video traffic trace,a novel method of feature based on multi-scale decomposition was proposed.On the analysis of the time-frequency distribution characteristics of the video trace,the wavelet packets which have the trait of arbitrary distinction and decomposition are selected.After space partition of wavelet packets,the best wavelet packet basis for feature extraction is picked out.Based on the best basis,it can do fast arbitrary multi-scale WPT（wavelet packet transform）,and obtain each higher dimension wavelet coefficients matrix.And then wavelet coefficients prediction is proposed based on LS-SVM and LMS algorithms.The long-term pre-diction of VBR video traffic is obtained through reverse wavelet transforms on the predicted wavelet coefficients.Nu-merical and simulation results are provided to validate the claims.…”
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Research and application of flight trajectory data compression algorithm by YANG Yao, XIAO Yajuan

“…The vast amount of flight trajectory data brings huge challenges to the data storage, data query, and data visualization in the situational display system, and data compression technology is an effective solution to this problem. Regarding the problems that the current flight trajectory compression algorithms do not effectively utilize all flight parameter features and need to set thresholds manually, this paper proposes an effective flight trajectory data compression algorithm. …”
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A Mountain Summit Recognition Method Based on Improved Faster R-CNN by Yueping Kong, Yun Wang, Song Guo, Jiajing Wang

“…Mountain summits are vital topographic feature points, which are essential for understanding landform processes and their impacts on the environment and ecosystem. …”
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Research on Intelligent Classification of Ultrasonic Phased Array Image of Welding Seam of Naval Gun Cradle by Wenjing Liu, Erqing Zhang, Jianguo Wang, Shaofeng Wang, Shunzhou Huang

“…Therefore, this paper does not directly use the correlation parameter between the feature and the defect category as the initial feature weight of the RSAE. …”
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Design and implementation of information system for vocational education quality assessment based on CNN-BiGRU by Yuhui Xu, Jinjun Wang

“…In feature extraction module, CNN is used to extract deep features of vocational education-related data. …”
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DeFRCN-MAM: DeFRCN and multi-scale attention mechanism-based industrial defect detection method by Tong Zheng, Liangbing Sa, Chongchong Yu, Aibin Song

“…To adapt to the invisible characteristics of defects, we introduce the Feature Pyramid Network (FPN) and Residual Attention Module (RAM) into DeFRCN, which can enhance the capture ability of multi-scale features and feature association information. …”
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Fluid Equation-Based and Data-Driven Simulation of Special Effects Animation by Yujuan Deng

“…Its stable and efficient computational model provides a new problem-solving approach for computerized fluid animation simulation. …”
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Dry-Type Air-Core Series Reactor Turn-to-Turn Short Circuit Fault Detection Method Based on Multi-Parameter Data Fusion by WANG Yin, WANG Yuanyuan, CAO Chengjun, ZHANG Lizhi, YIN Youpeng, JI Hongzhen, DOU Di

“…[Objective] To address the problems of weak turn-to-turn short-circuit faults in dry-type air-core series reactors， which are difficult to recognize， and the lack of an early warning mechanism in traditional methods， this study proposes a multi-dimensional feature and intelligent algorithm fusion of an early fault diagnosis method. …”
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From Food Deserts to Food Access. Methodological and Theoretical Considerations for Research in Sparsely Populated Rural European Areas by Ramos-Truchero Guadalupe

“…Although this represents a major problem for the quality of life in rural areas, food access problems have been understudied in Europe. …”
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Partial molar volumes of components of water – aliphatic alcohol mixtures by B. K. Karabekova, A. R. Bazaev

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ӘЛЕУМЕТТІК-КӘСІПКЕРЛІК КОРПОРАЦИЯЛАРДЫҢ ДАМУЫ - ӨҢІРЛІК ЭКОНОМИКАДАҒЫ ЖАҢА ВЕКТОР by M. Zh. Kuttybai

“…Based on the study of foreign experience in creating similar organizations, the advantages and problems of their functioning are determined. The Kazakhstan model of a socio-entrepreneurial corporation is created as a corporation of a non-commercial type, but it is designed to solve the problems of extracting profits and investing in the social and economic development of the regions. …”
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Theoretical foundations of the organization of branches and repetitions in programs in the logic programming language Prolog by D. V. Zdor

“…The organization of branches and repetitions in the context of logical programming is considered by an example of the Prolog language. The fundamental feature of the program in a logical programming language is the fact that a computer must solve a problem by reasoning like a human. …”
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