I have to have a mask, a mad mask”. Polemicising with Maria Anna Potocka by Stefan Okołowicz

“…Potocka’s view, the author reflects on the problem of mask and facial expression in the life and work of S.I. …”
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DEADLINES OPTIMAL CORRECTION OF PROJECT EXECUTION FOR ANY DEVIATIONS FROM NETWORK SCHEDULE by Yu. I. Buryak, I. B. Ivenin, A. А. Skrynnikov

“…The correction algorithm is based on using dynamic programming method taking into account the problem inherent feature when calculating the target function.…”
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Research on bearing fault diagnosis of reciprocating compressors based on GMDE and MFO-MKELM algorithms by LI Yanyang, WANG Jindong, NING Liuyang, MA Lei

“…ObjectiveAiming at the problem that the bearing fault feature extraction is difficult and the recognition accuracy is not high due to the characteristics of local strong non-stationarity and nonlinearity of the vibration signal of reciprocating compressor bearing clearance, a new method based on GMDE and MFO-MKELM algorithm was proposed.MethodsFirst, spread on multiscale entropy in the process of coarse graining, the average coarse graining way to a certain extent, “neutralize” the dynamics of the original signal mutation behavior, and reduce the accuracy of the entropy analysis. …”
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Abnormal Diagnosis Method of Self-Powered Power Supply System Based on Improved GWO-SVM by Ya jie Li, Shao bing Li, Wei Li

“…First, the feature sets of 11 kinds of monitoring data are optimized and selected based on MIC for self-powered power supply system. …”
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HR-NeRF: advancing realism and accuracy in highlight scene representation by Shufan Dai, Shanqin Wang

“…HRNet incorporates Swish activation functions, affine transformations, multilayer perceptrons (MLPs), and residual blocks, which collectively enable smooth non-linear transformations, adaptive feature scaling, and hierarchical feature extraction. …”
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RESEARCH ON GEARBOX FAULT DIAGNOSIS BASE ON ISOMAP AND IGA-SVM by LIU ZhiChuan, TANG LiWei, CAO LiJun

“…A method for optimizing support vector machine（ SVM） parameters was proposed based on isometric feature mapping（ Isomap） and improved genetic algorithm（ IGA）,to solve the problem that parameters are difficult to choose in the process of gearbox fault diagnosis and recognition. …”
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Neural network recognition algorithm of breath sounds based on SVM by Gou-dong LIU, Jing XU

“…A SVM neural network (support vector machines) for breath sounds recognition algorithm was advanced,breath sounds feature obtained through wavelet analysis were input into neural networks and carried on the training to the training samples as a feature of SVM method input in order to classify the test samples.Three States (normal,mild and severe lesions) of breath sounds were recognized,and K nearest neighbor (KNN) methods are compared .The results show that SVM method has a higher recognition accuracy and can be used to recognize different breath sounds,which settled the local extremum problem that cannot be avoided in the neural network method and provide an effective algorithm for information processing in body area network technology.…”
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Improved SVM for Fault Diagnosis of Main Converter of Locomotive by 钟燕科

“…Making use of wavelet analysis to process the output voltage, the fault feature had been extracted and the feature vector had been constructed. …”
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A Method for Designing Fault Diagnosis Filters for LPV Polytopic Systems by Sylvain Grenaille, David Henry, Ali Zolghadri

“…The design problem is formulated as a convex optimization problem and solved using LMI (Linear Matrix Inequalities) techniques. …”
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Fault Diagnosis Method of Bearing based on LCD Cross Approximate Entropy and Relevance Vector Machine by Tan Jingjing, Gao Feng, Zhang Qiantu

“…Finally,the fault feature are put into RVM to identify different faults. …”
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Fault Diagnosis of a Hydraulic Pump Based on the CEEMD-STFT Time-Frequency Entropy Method and Multiclass SVM Classifier by Wanlin Zhao, Zili Wang, Jian Ma, Lianfeng Li

“…An actual hydraulic-pump experiment demonstrates the procedure with a complete feature extraction and accurate mode classification.…”
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Target detection technology of coal mine wheeled robot combining improved CNN and self attention mechanism by Junfei TANG, Hailong XING, Su LI, Taotao ZHANG, Heng LIU, Shiyu YAO

“…On this basis, the bidirectional feature pyramid network module is designed to further strengthen the feature extraction function. …”
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Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning by Hengbin Wang, Yu Yao, Zijing Ye, Wanqiu Chang, Junyi Liu, Yuanyuan Zhao, Shaoming Li, Zhe Liu, Xiaodong Zhang

“…In this study, we propose two new solutions that leverage the feature representation capabilities of deep learning and the sample reuse potential of transfer learning to solve the limited label problem. …”
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Probability Density Function Distance-Based Augmented CycleGAN for Image Domain Translation with Asymmetric Sample Size by Lidija Krstanović, Branislav Popović, Sebastian Baloš, Milan Narandžić, Branko Brkljač

“…There are only a few methods proposed in the literature that tackle the problem of training a CycleGAN in such an environment. …”
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A Robust Approach to Vision-Based Terrain-Aided Localization by Dan Navon, Ehud Rivlin, Hector Rotstein

“…The SFM problem can be solved using existing techniques such as feature detection, matching, and triangulation wrapped with a bundle adjustment algorithm. …”
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ADVANTAGES AND DEFICIENCIES IN THE USE OF CRM IN HOTELS by Veselina ATANASOVA

“…The actuality of the problem is complemented by an essential feature related to the application of the marketing management approach - the result is the achievement of a competitive advantage in the contemporary dynamic market environment. …”
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UWMambaNet: Dual-Branch Underwater Image Reconstruction Based on W-Shaped Mamba by Yuhan Zhang, Xinyang Yu, Zhanchuan Cai

“…At the present stage, the methods based on the CNN have the problem of insufficient global attention, and the methods based on Transformer generally have the problem of quadratic complexity. …”
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Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation by Yuhuan Yue

“…The method is built on the geometric feature of the problem. The algorithm generates random data by solving the two-point boundary value problem of the characteristic Hamiltonian system of the HJB equation without discretizing the state space. …”
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Periodicity in distribution. I. Discrete systems by A. Ya. Dorogovtsev

“…Such an analysis gives simple answers to the questions about solution stability of the Cauchy problem on +∞, solution stability of analogous problem on −∞, or of existence solution for boundary value problem and other questions about global behaviour of solutions. …”
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Selection Theory of Dendritic Growth with Anisotropic Diffusion by Martin von Kurnatowski, Klaus Kassner

“…Latent heat released at the two-phase boundary is removed by some transport mechanism, and often the problem can be described by a simple diffusion model. …”
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