Method for Choosing a Balanced Set of Fault Tolerance Techniques for Distributed Computer Cystems by D. Yu. Volkanov

“…In this problem we maximize reliability of DCS under constraints of system cost. …”
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Problem of universals of Christianities and differentia specifica of its life are in history (part V - Muscovy's dimensions of Christian idea: the optimistic tragedy and the triump... by Ihor Pasko

“…The paper is finish publication of common researches under the common title the PROBLEM OF UNIVERSALS OF CHRISTIANITES AND DIFFERENTIA SPECIFICA OF ITS LIFE ARE IN HISTORY. …”
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THE CONTENT AND FEATURES OF THE DISTRIBUTION OF HEAVY METALS (CU, ZN, CD, PB) IN THE "SOIL -NEEDLES AND LEAVES OF TREES" IN DIFFERENT PARTS OF THE CITY OF UST-KAMENOGORSK by V. F. Zaitsev, G. K. Galyamova

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Identifying Design Requirements for an Interactive Physiotherapy Dashboard With Decision Support for Clinical Movement Analysis of Musicians With Musculoskeletal Problems: Qualitat... by Eduard Wolf, Karsten Morisse, Sven Meister

“…MethodsA qualitative user research study was conducted, using human factors engineering methods from problem-driven research, user-centered design, and decision-centered design. …”
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Features of allometric growth and structure of settlements for Mya uzenensis (Bivalvia: Myidae) in different areas of littoral zone in the Tauiskaya Guba Bay, Okhotsk Sea by V. S. Zharnikov

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Issues of organization of stable passage of transit freight trains on the railway lines in accordance with technical and technological features of operation of technical stations a... by L. A. Muginshtein, M. I. Mekhedov

“…Determination of the actual capacity of rail lines, taking into account technical and technological features of operation of technical stations and running sections is one of the most important systemic problems facing the industry. …”
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Multi-scale cross-layer fusion and center position network for pedestrian detection by Qian Liu, Youwei Qi, Cunbao Wang

“…A new backbone unit is designed to introduce channel-wise attention into the improved aggregated residual transformations for effective feature extraction. We select suitable anchor setting for pedestrian detection datasets to tackle the problem of dataset difference. …”
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A novel feature selection algorithm using decomposition based multi-objective guided honey badger algorithm (MO-GHBA) and NSGA-III by Anusha Papasani, Nagaraju Devarakonda

“…In most of the MOEAs based feature selection algorithms, more optimal solutions are obtained around the Pareto front's center because of the deficiency in selection features. …”
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Morphological features of parietal cortex and hippocampus neuron of rats following subtotal cerebral ischemia associated with omega-3 polyunsaturated fatty acids injection by E. I. Bon, N. Ye. Maksimovich, S. M. Zimatkin

“…Aim of the study was to investigate the morphological features of neurons of the parietal cortex and hippocampus of rats with subtotal cerebral ischemia (SACI) during administration of omega-3 polyunsaturated fatty acids (omega-3 PUFA). …”
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Audio recognition method of belt conveyor roller fault based on convolutional neural network and linear regression by Xiangyuan CHEN, Wei QIN, Yanchi LIU, Minghua LUO

“…Finally, based on two weak classifiers, using the spectrogram and sound quality features as data sources, fusion of multimodal faulty features and enrich data dimensions, based on the spectrogram and sound quality features, residual convolutional neural network computing image features, fast fitting of audio basic features using multiple linear regression, a roller fault voiceprint representation model combining convolutional neural network and linear regression is generated for joint training. …”
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Machine learning algorithm for intelligent detection of WebShell by Hua DAI, Jing LI, Xin-dai LU, Xin SUN

“…WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell.…”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

“…Deep learning (DL) methods are essential for processing security problems in UAV networks. This paper presents a Privacy-Preserving Intrusion Detection Model for UAV-Based Remote Sensing Applications in Land Cover Classification Using Multilevel Fusion Feature Engineering (IDUAVRS-LCCMFFE) technique. …”
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A Welding Defect Detection Model Based on Hybrid-Enhanced Multi-Granularity Spatiotemporal Representation Learning by Chenbo Shi, Shaojia Yan, Lei Wang, Changsheng Zhu, Yue Yu, Xiangteng Zang, Aiping Liu, Chun Zhang, Xiaobing Feng

“…To address interference problems in molten pool images under complex welding scenarios (e.g., reflected laser spots from spatter misclassified as porosity defects) and the limited interpretability of deep learning models, this paper proposes a multi-granularity spatiotemporal representation learning algorithm based on the hybrid enhancement of handcrafted and deep learning features. …”
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StarCD-Net: A Remote Sensing Change Detection Method Combining StarNet and Differential Operators by Caijia Zeng, Xiaorong Xue, Chuanlu Li, Xingbiao Xu, Siyue Zhao, Yifan Xu

“…To address the problem of loss of edge details, we design the Detailed Feature Enhancement (DFE) Module to enhance the feature edges. …”
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“All things equal”: ethical principles governing why autonomous vehicle experts change or retain their opinions in trolley problems—a qualitative study by Stephen R. Milford, Stephen R. Milford, B. Zara Malgir, Bernice S. Elger, Bernice S. Elger, David M. Shaw, David M. Shaw

“…IntroductionAutonomous vehicles (AVs) are already being featured on some public roads. However, there is evidence suggesting that the general public remains particularly concerned and skeptical regarding the ethics of collision scenarios.MethodsThis study presents the findings of the first qualitative research into the ethical opinions of experts responsible for the design, deployment, and regulation of AVs. …”
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Osteoporosis: a problem still faulty addressed by the Romanian healthcare system. Results of a questionnaire survey of people aged 40 years and over by Narcisa Jianu, Narcisa Jianu, Narcisa Jianu, Valentina Oana Buda, Valentina Oana Buda, Denisa Căpățână, Călin Muntean, Teodor Nicolae Onea, Maria Anastasia Jivulescu, Ana Teodor, Ana Teodor, Mirabela Romanescu, Mirabela Romanescu, Lucreția Udrescu, Lucreția Udrescu, Vlad Groza, Mihai Udrescu, Alina Ramona Buzatu, Cristina Adriana Dehelean, Cristina Adriana Dehelean, Minodora Andor, Minodora Andor

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Behavioral Changes During COVID-19 Omicron Variant Infection on Children with Autism Spectrum Disorder in China by Ye F, Hou X, Chen J, Qin H, Xu X, Liu D, Liu J, Sun Q, Liu H, Hu F, Zhou Y, Xu P, Zhang Q

“…The behavior changes in core ASD features and challenging behaviors differed and were associated with COVID-19 infection and other factors.Keywords: core feature, challenging behavior, behavior worsening, infection, autism spectrum disorder…”
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THE INTERACTION OF REGIONAL ECONOMIES OF RUSSIA by Z. Musaeva

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Clinical Features of Cutaneous Acute Graft-versus-Host Disease after Allogeneic Hematopoietic Stem Cells Transplantation in Children with Hemato-Oncological Diseases by Tatiana S. Belysheva, Timur Z. Aliev, Timur T. Valiev, Elena B. Machneva, Natalia V. Sidorova, Nikolay N. Murashkin, Kirill I. Kirgizov, Svetlana R. Varfolomeeva

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Multi-Fault Feature Extraction and Diagnosis of Gear Transmission System Using Time-Frequency Analysis and Wavelet Threshold De-Noising Based on EMD by Renping Shao, Wentao Hu, Jing Li

“…When faults occur on gear system, it is difficult to extract the fault feature. This paper researches the threshold principle in the process of using the wavelet transform to de-noise the system, and combines EMD (empirical mode decomposition) with wavelet threshold de-noising to solve the problem. …”
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