Human Similar Activity Recognition Using Millimeter-Wave Radar Based on CNN-BiLSTM and Class Activation Mapping by Xiaochuan Wu, Zengyi Ling, Xin Zhang, Zhanchao Ma, Weibo Deng

“…The high-dimensional features are extracted by CNN, and then the corresponding feature vectors are fed into the BiLSTM to obtain the recognition results. …”
Get full text

Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case studyZenodo by Sona Salehian Ghamsari, Tonie van Dam, Jack S. Hale

“…Due to geological features such as fractures, some aquifers demonstrate strongly anisotropic hydraulic behavior. …”
Get full text

Didgital-art цінних паперів by Oleh Kardash, Viktor Chelombitko

“…The description of patterned sockets can be based on the software of various technical devices. Formulation of the problem. With the introduction of computer technology for the manufacture of printed security features began to use computers with graphics software, as well as specialized software products, such as SecuritySoft Co. …”
Get full text

ANALGESICS ANTIPYRETICS IN PEDIATRICS by O.V. Zaitseva

“…The article considers one of the most critical issues in the pediatrics: the problem of children's hyperthermia. The article features the fever pathogenesis and 'points of application' for antipyretics, the data on efficiency and side effects of this group of medications, as well as indications to reduce heightened body temperature of children. …”
Get full text

Coal-Rock Recognition in Top Coal Caving Using Bimodal Deep Learning and Hilbert-Huang Transform by Guoxin Zhang, Zengcai Wang, Lei Zhao, Yazhou Qi, Jinshan Wang

“…A suitable installation location for sensors is determined in recognizing coal-rock. The extraction features of acceleration and sound pressure signals are combined and effective combination features are selected. …”
Get full text

Proposed new signal for real-time stress monitoring: Combination of physiological measures by M. Saidi, H. Hassanpoor, A. Azizi Lari

“…The features are defined in 20-sec time windows. Correlation feature selection and linear regression methods are used for feature selection and feature combination respectively. …”
Get full text

Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm by Huaitao Shi, Jin Guo, Zhe Yuan, Zhenpeng Liu, Maxiao Hou, Jie Sun

“…In this method, multiple data processing layers are created to extract weak incipient fault features, and EMD is used to decompose the vibration signal. …”
Get full text

Low-Rank Representation and Data Compression of Full-Field Displacement Maps for Structural Modal Analysis and Damage Identification by Yankun Li, Yu Huang, Ziguang Li, Zhiping Yin, Shancheng Cao

“…Furthermore, with the evaluated mode shapes, how to accurately reveal the embedded/hidden damage positions without a reference dataset is another critical problem. For the purpose of resolving those issues, a complete method is proposed, consisting of (1) an adaptive kernel function construction method for low-rank-representing the full-field displacement maps while retaining both global and local shape features, (2) an enhanced frequency domain decomposition approach for noise-robust mode shape estimation based on the kernel functions, and (3) extracting and fusing local shape features of multiple mode shapes for more accurate damage localization. …”
Get full text

Evaluation of Osteoarticular Involvement Associated with Brucellosis in Children by Tuğba Nur Kutlu Beşeren, Zafer Bıçakçı, Müferet Ergüven, Hayrunnisa Bekis Bozkurt

“…Aim: Brucellosis is a significant public health problem with high morbidity. Its most frequent complication is osteoarticular involvement. …”
Get full text

Point cloud geometry compression based on the combination of interlayer residual and IRN concatenated residual by Meng Huang, Qian Xu, Wenxuan Xu

“…At the same time, it can extract the global and detailed features within point cloud data. Besides, Attention Module is dedicated to enhance the focus on salient features. …”
Get full text

HETMCL: High-Frequency Enhancement Transformer and Multi-Layer Context Learning Network for Remote Sensing Scene Classification by Haiyan Xu, Yanni Song, Gang Xu, Ke Wu, Jianguang Wen

“…However, recent studies have revealed that Transformers perform poorly in capturing high frequencies that mainly convey local information. To solve this problem, we propose a novel method based on High-Frequency Enhanced Vision Transformer and Multi-Layer Context Learning (HETMCL), which can effectively learn the comprehensive features of high-frequency and low-frequency information in visual data. …”
Get full text

Detection of cervical cell based on multi-scale spatial information by Gang Li, Xinyu Fan, Chuanyun Xu, Pengfei Lv, Ru Wang, Zihan Ruan, Zheng Zhou, Yang Zhang

“…To tackle this problem effectively, we propose a cervical cell detection method that utilizes multi-scale spatial information. …”
Get full text

IMPLEMENTATION OF TRAUMA-PROTECTING TECHNOLOGICAL LINES FOR TRANSPORTATION OF GRAIN CROPS by R. Mirskykh

“…The author investigates the problem of mechanical damage to grain during post-harvest processing, which leads to loss of seed quality. …”
Get full text

The radiation from ultrafast point dipoles, moving uniformly near chiral media by V. N. Kadantsev

“…The article discusses the features of the radiation of ultrafast point clusters of charged particles moving uniformly near a gyrotropic medium interface. …”
Get full text

A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm by Dorel Aiordăchioaie

“…Seven methods are considered for evaluation: two in the time domain, two in the frequency domain and three in the time–frequency domain. The main problem is to extract and select the right features to use in the classification stage. …”
Get full text

Transformation of Space Discourse: from Traditional Society to Postmodern Era by V. A. Shchipkov

“…The paper examines the problem of transforming the perception of space in the paradigms of several cultural epochs. …”
Get full text

MFI-Net: A multi-resolution fusion input network for retinal vessel segmentation. by Yun Jiang, Chao Wu, Ge Wang, Hui-Xia Yao, Wen-Huan Liu

“…In this paper, we propose the MFI-Net (Multi-resolution fusion input network) network model to alleviate the above problem to a certain extent. The multi-resolution input module in MFI-Net avoids the loss of coarse-grained feature information in the shallow layer by extracting local and global feature information in different resolutions. …”
Get full text

Genre aspect of a language personality of an interpreter by Ulanova, Ekaterina Эдуардовна, Katermina, Veronika Викторовна

“… The article deals with the problem of genre in translation studies. The hypothesis of the study is the idea of the genre shifts emerging at the moment of interpreting within the genre of a TV interview. …”
Get full text

Service Marketing Analysis Of Movies As Unique Service-Products by Horváth Ádám, Gyenge Balázs

“…The urgency of this scientific problem is that the sale of cinema products today is impossible without a marketing system. …”
Get full text

Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR by Ohoud Nafea, Wadood Abdul, Ghulam Muhammad

“…Automatic high-level feature extraction has become possible using deep learning to optimize performance. …”
Get full text