Vehicle Detection and Shape Refinement Based on LiDAR by YU An, HU Dongfang, WANG Xuepeng, ZHANG Jin, ZHOU Yan, XIE Guotao, QIN Xiaohui, HU Manjiang

“…In order to solve this problem, this paper proposes a vehicle shape optimization algorithm based on point cloud cluster features, the proposed algorithm outputs vehicle detection results with PointPillars target detection algorithm. …”
Get full text

Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection by Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Carol Y. Cheung, Tien Y. Wong, Ecosse Lamoureux, Dan Milea, Fabrice Mériaudeau, Désiré Sidibé

“…Our study concludes that the 3D features and high-level representation of 2D features using patches achieve the best results. …”
Get full text

Wavelet Transform-Based 3D Landscape Design and Optimization for Digital Cities by Yang Chen, Xiaolin Wang, Chang Zhang

“…The method collects digital city feature information at the information layer and preprocesses the feature information by a rate detection algorithm. …”
Get full text

Assisting tool for essay grading for Turkish language instructors by Mustafa Alp Çetin, Rita Ismailova

“…At the same time, as the number of students’ increases, the problem of evaluating students’ essays arises. In this paper, we offer an automated system that facilitates instructors while evaluating students’ essays. …”
Get full text

Network traffic cognition model based on space-time fractals by TANG Pingping, ZHANG Hui, DONG Yuning, DONG Guoqing

“…Considering the problem of traditional fractal (TF) features being difficult to achieve both high accuracy and fast speed in network traffic cognition, the idea of space-time separation was proposed on the basis of fractal theory. …”
Get full text

Device-independent Wi-Fi fingerprinting indoor localization model based on domain adaptation by Zenghua ZHAO, Yuefan TONG, Jiayang CUI

“…In real-world large-scale deployments of indoor localization, Wi-Fi fingerprinting approaches suffer from device diversity problem which impacts the localization accuracy significantly.A device-independent Wi-Fi fingerprint indoor localization model DeviceTransfer was proposed.Based on the domain adaptation theory of deep learning, the device type of the smartphone was taken as the domain, the task-related and device-independent Wi-Fi data features were extracted through adversarial training, and the learned source domain location information was transferred to the target domain.Pre-training and joint training were employed to improve model training stability and to accelerate convergence.The performance of DeviceTransfer was evaluated using four types of smartphones in two real-world indoor environments: a school building and a shopping mall.The experimental results show that DeviceTransfer effectively extracts device-independent Wi-Fi fingerprint features.Using only one type of phone to collect Wi-Fi fingerprints, online localization using other types still achieves high localization accuracy, thus reducing localization cost significantly.…”
Get full text

Ultrafast one‐pass FASTQ data preprocessing, quality control, and deduplication using fastp by Shifu Chen

“…This study aimed to introduce the new features of fastp and demonstrate how it was designed and implemented.…”
Get full text

Device-independent Wi-Fi fingerprinting indoor localization model based on domain adaptation by Zenghua ZHAO, Yuefan TONG, Jiayang CUI

“…In real-world large-scale deployments of indoor localization, Wi-Fi fingerprinting approaches suffer from device diversity problem which impacts the localization accuracy significantly.A device-independent Wi-Fi fingerprint indoor localization model DeviceTransfer was proposed.Based on the domain adaptation theory of deep learning, the device type of the smartphone was taken as the domain, the task-related and device-independent Wi-Fi data features were extracted through adversarial training, and the learned source domain location information was transferred to the target domain.Pre-training and joint training were employed to improve model training stability and to accelerate convergence.The performance of DeviceTransfer was evaluated using four types of smartphones in two real-world indoor environments: a school building and a shopping mall.The experimental results show that DeviceTransfer effectively extracts device-independent Wi-Fi fingerprint features.Using only one type of phone to collect Wi-Fi fingerprints, online localization using other types still achieves high localization accuracy, thus reducing localization cost significantly.…”
Get full text

The Idea of «Concept» in the Studies of Culture by T. D. Tatarskaya

“…It is an attempt to reveal the features of these approaches to the problem of understanding and studying of "concept". …”
Get full text

Organization of Artistic World of Fantastic Work: Categorical Concepts (dilogy of O. Gromyko “Year of Rat”) by G. V. Popova

“…The features of the organization of the artistic world of a fantastic work are considered. …”
Get full text

On the legal nature of regional integration associations by G.G. Bodurova

“…This article deals with the problem of defining the legal nature of integration associations, mainly regional, as well as with the issue of revealing their major role in world affairs. …”
Get full text

An Implicit Identity Authentication System Considering Changes of Gesture Based on Keystroke Behaviors by Jiyun Wu, Zhide Chen

“…This system collects five keystroke features in the background and analyzes to identify different users without additional hardware supporting. …”
Get full text

Stereo Online Self-Calibration Through the Combination of Hybrid Cost Functions with Shared Characteristics Considering Cost Uncertainty by Wonju Lee

“…To ensure the stability of the optimization and the robustness to outliers when using natural features, we minimize the error constraint between spatial per-frame sparse natural features by stably combining cost functions with similar properties, considering cost uncertainty. …”
Get full text

Ritualizirane transformacije digitalnih Pepeljuga: Postfeministička etika ljepote u videovodiču o šminkanju by Brigita Miloš

“…In addition to the observed correlation of the selected material and the thesis on the predominance of the ideal of beauty as an ethical requirement, the analysis of the selected video makeup tutorial points to the need for a more detailed elaboration of the parameters and features of neo/feminist debates on the problem of beauty and its representation.…”
Get full text

Implicit Assessment and Argumentation by E. R. Ioanesyan

“…The article is devoted to the problem of implicitness. As an object of study, sentences with a conjunction but, sentences with a conjunction and , sentences with a quantifier word any (a quantifier of generality) and sentences with a construction of the form not important P (X ) (modus of indifference) were selected. …”
Get full text

Blood pressure characteristics in Kabardino-Balkaria schoolchildren by L. V. El’garova, A. A. El’garov

“…Age, gender, national, and climate-geographical features of BP levels were identified in KBR schoolchildren. …”
Get full text

Optimal Health Insurance and Trade-Off between Health and Wealth by Yan Zhang, Yonghong Wu

“…By taking these special features into account, we formulate the optimization problem and characterize the optimal solutions via the Lagrange multiplier method and optimal control technique. …”
Get full text

Electronic Guides on Websites of Russian Libraries: Types, Topics, Structure by N. I. Gendina, A. S. Valyalina

“…The problem of a user orientation in modern information resources is raised. …”
Get full text

Prevailing patterns of the sound speed distributions in the environment of the Southern Baltic by G. GRELOWSKA

“…The paper contains the results of experimental and theoretical research aimed at elaborating characteristic features of the acoustic conditions in the Southern Baltic. …”
Get full text

Population level inference for multivariate MEG analysis. by Anna Jafarpour, Gareth Barnes, Lluis Fuentemilla, Emrah Duzel, Will D Penny

“…Multivariate analysis is a very general and powerful technique for analysing Magnetoencephalography (MEG) data. An outstanding problem however is how to make inferences that are consistent over a group of subjects as to whether there are condition-specific differences in data features, and what are those features that maximise these differences. …”
Get full text