Pulmonary Nodules Detection Algorithm Combining Multi-view and Attention Mechanism by LIU Yu-bo, LIU Guo-zhu, SHI Cao, XU Can-hui

“…Then, the multi-view input method was used to ensure that the spatial features of nodules was obtained. The sections from 9 angles in three-dimensional space, including sagittal plane, coronal plane and horizontal plane, were input into the network together.The ViT network was used as a feature extractor and combined with the feature pyramid network to achieve the classification of nodules, and we fused all section results to achieve the screening of false positive nodules. …”
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A modified algorithm of 'forward-backward' solving the identification of automata Markov models by A.R. Nurutdinova

“…The paper is devoted to solving the problem of identifying discrete stochastic processes generated on the basis of automata Markov models. …”
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Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

“…In addition, for the human auditory feature extraction method after HPSS processing, the CIS method is compared with the widely used Mel filter bank, and shows better performance.…”
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Facial Recognition System Based on Genetic Algorithm Improved ROI-KNN Convolutional Neural Network by Xiao Wang, Yan Li

“…However, due to the short development time of the facial recognition system, the facial recognition system has the problem of low recognition accuracy when the recognized object is not cooperative. …”
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Domain Diversification Progressive Cross-Domain Weakly-Supervised Real-time Object Detection by LI Chengyan, ZHENG Qisen, WANG Hao

“…Aiming at the problems of large image translation bias at the pixel-level adaptation, the risk of source-bias discrimination at the feature-level adaptation, and the inability of weakly supervised learning to balance detection accuracy and real- time performance, a diversified domain shifter and pseudo bounding box generator are proposed to gradually adjust the pre-training model. …”
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Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…Firstly, Bi-directional Feature Pyramid Network (BiFPN) is used to strengthen feature fusion and improve the accuracy of small target recognition. …”
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Research on Small-Sample Credit Card Fraud Identification Based on Temporal Attention-Boundary-Enhanced Prototype Network by Boyu Liu, Longrui Wu, Shengdong Mu

“…In this paper, we propose a credit card fraud detection method called the Time-Series Attention-Boundary-Enhanced Prototype Network (TABEP), which strengthens the temporal feature dependency between channels by incorporating a time-series attention module to achieve channel temporal fusion feature acquisition. …”
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Effective Detection of Cloud Masks in Remote Sensing Images by Yichen Cui, Hong Shen, Chan-Tong Lam

“…The model uses an improved residual module to capture the multi-scale features of clouds more effectively. MDU-Net first extracts the feature maps using four residual modules at different scales, and then sends them to the context information full flow module for the first up-sampling. …”
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Research on Aerospace Text Classification Based on BERT-LSTM Model by AN Rui, CHEN Hailong, AI Siyu, CUI Xinying

“…The obtained maximum features are combined into a feature vector set, which is then input into the Bi- LSTM layer for sequence modeling. …”
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Extrinsic vs intrinsic criticality in systems with many components by Vudtiwat Ngampruetikorn, Ilya Nemenman, David J. Schwab

“…We show that critical correlations, intrinsic or extrinsic, lead to diverging mutual information between two halves of the system, and are a feature of learning problems, in which the unobserved fluctuations are inferred from the observable degrees of freedom. …”
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FDGSNet: A Multimodal Gated Segmentation Network for Remote Sensing Image Based on Frequency Decomposition by Jian Cui, Jiahang Liu, Yue Ni, Jinjin Wang, Manchun Li

“…However, the existing fusion methods often lead to feature loss during the fusion of various modal data, and the complementarity among multimodal features is insufficient. …”
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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

“…For large-scale data mining problems, a clustering-based kernel matrix inner product filtering method is introduced to decompose the original quadratic programming problem into multiple sub-problems to support parallel training. …”
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Revitalization of Civil Participation of the Population in the Activities of Local Self-Government Bodies by S. S. Ydyrys, D. O. Tubekova, S. A. Nakhipbekova

“…As a result, the main causes of problems of civil activity of the population in Turkestan were identified and the “Solution Tree” method was used to solve the main problems in this region.…”
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Certificateless aggregate signcryption scheme with multi-ciphertext equality test for the internet of vehicles. by Xiaodong Yang, Xilai Luo, Ruixia Liu, Songyu Li, Ke Yao

“…By leveraging the computational complexities associated with the Diffie-Hellman problem and the discrete logarithm problem, it is demonstrated that the scheme maintains confidentiality and unforgeability within the random oracle model. …”
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RBF-Learning-Based Many-Objective Metaheuristic for Robust and Optimal Controller Design in Fixed-Structure Heading Autopilot by Nattapong Ruenruedeepan, Sujin Bureerat, Natee Panagant, Nantiwat Pholdee

“…The effectiveness of the new algorithm is validated through both fixed-structure heading autopilot controller design problems and standard benchmark optimization problems. …”
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Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…The nonlinear sine-Gordon equation is a prevalent feature in numerous scientific and engineering problems. …”
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“FUND” LENDING AS AN EFFECTIVE TOOL OF STATE SUPPORT FOR FARMERS by A. V. Tikhonova

“…The article is devoted to the topical problem of the development of agro-industrial complex, in particular, the development of the novelty model of agricultural lending. …”
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Research on the Coupled Representation of Model and Data Integration Guided by Metadata Sets by Y. Li, L. Huo, W. Zhu, P. Bao, M. Zhang, B. Li

“…Aiming at the problems of islands, redundancy and sharing difficulties of spatial and temporal business models and data in geospatial and spatial business systems, this paper proposes an integrated and coupled expression method of models and data guided by metadata sets, based on the research on core metadata of information resources and component-based encapsulation. …”
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The Concept of Building a Network of Digital Twins to Increase the Efficiency of Complex Telecommunication Systems by Sh. Zh. Seilov, А. T. Kuzbayev, A. A. Seilov, D. S. Shyngisov, V. Yu. Goikhman, A. K. Levakov, N. A. Sokolov, Y. Sh. Zhursinbek

“…The technical literature actively discusses ideas for creating digital twins to solve a wide range of problems that arise for enterprises of various kinds. …”
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Accurate and Efficient LiDAR SLAM by Learning Unified Neural Descriptors by Baihe Feng, Ying Zhang

“…Recent deep learning-based features under the existing SLAM framework can be poorly affected by error accumulation problems over time. …”
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