Multi-Model Gait-Based KAM Prediction System Using LSTM-RNN and Wearable Devices by Doyun Jung, Cheolwon Lee, Heung Seok Jeon

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Intelligent Classifier for Identifying and Managing Sheep and Goat Faces Using Deep Learning by Chandra Shekhar Yadav, Antonio Augusto Teixeira Peixoto, Luis Alberto Linhares Rufino, Aedo Braga Silveira, Auzuir Ripardo de Alexandria

“…Computer vision, particularly in artificial intelligence (AI), is increasingly being applied in various industries, including livestock farming. …”
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Experimental Evaluation of Enhanced Antenna Switching for CFO Mitigation in DoA Estimation by Ales Simoncic, Ke Guan, Grega Morano, Ales Svigelj, Andrej Hrovat, Teodora Kocevska, Tomaz Javornik

“…We propose to use optimized antenna switching patterns (ASPs) to mitigate the effect of CFO on accuracy in DoA estimation using a multiple signal classification (MUSIC) algorithm. …”
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Characteristics Radiologic Signs of Infectious Bronchiolitis. A Practical Approach for the General Doctors by M. A. Karnaushkina, A. D. Strutynskaya, S. L. Babak, M. V. Gorbunova

“…In this article, we will consider three types of cellular bronchiolitis, which are combined by imaging on computed tomography of the chest pattern «tree in the kidneys»: infectious, aspiration bronchiolitis and diffuse panbronchiolitis.…”
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PyBodyTrack: A python library for multi-algorithm motion quantification and tracking in videos by Angel Ruiz-Zafra, Janet Pigueiras-del-Real, Jose Heredia-Jimenez, Syed Taimoor Hussain Shah, Syed Adil Hussain Shah, Lionel C. Gontard

“…Human movement analysis, driven by computer vision and pose tracking technologies, is gaining acceptance in healthcare, rehabilitation, sports, and daily activity monitoring. …”
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Methods for Determining the Size of three-Dimensional Objects in Images by L. V. Serebryanaya, V. N. Breshko

“…Computer vision technology is used to obtain the necessary information from images. …”
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Methods for Determining the Size of three-Dimensional Objects in Images by L. V. Serebryanaya, V. N. Breshko

“…Computer vision technology is used to obtain the necessary information from images. …”
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When dialects collide: how socioeconomic mixing affects language use by Thomas Louf, José J. Ramasco, David Sánchez, Márton Karsai

“…In this work we leverage geotagged tweets and transferable computational methods to map deviations from standard English across eight UK metropolitan areas. …”
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Two-dimensional Sparse Antenna Array of a Passive Coherent Radar using a Parametric Algorithm of Signal Processing via the Section Method by V. M. Kutuzov, V. I. Veremyev, M. A. Ovchinnikov, G. V. Komarov

“…As a result, the AA becomes sparse, which negatively affects the quality of the AA three-dimensional antenna pattern (AP). The section method based on the modified parametric Burg algorithm is a promising and relevant method for constructing directional characteristics. …”
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Diagnosis of early idiopathic pulmonary fibrosis: current status and future perspective by Xinya Wang, Xinrui Xia, Yihan Hou, Huaizhe Zhang, Wenyang Han, Jianqi Sun, Feng Li

“…Abstract The standard approach to diagnosing idiopathic pulmonary fibrosis (IPF) includes identifying the usual interstitial pneumonia (UIP) pattern via high resolution computed tomography (HRCT) or lung biopsy and excluding known causes of interstitial lung disease (ILD). …”
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Quantitative Analysis of the Impact of Various iCBCTs on the Image Quality of Lung Adaptive Radiotherapy by Ruifeng ZHAO, Bin SU, Xiaofei JIANG

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CHOOSING RATIONAL TRACING PROCEDURE BY CONSTRUCTIVE CRITERION by Oleg Yu. Sisoev, Sergey S. Sokolov, Victor A. Tupik

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Accuracy analysis of all-ceramic crowns with different materials in CAD/CAM digital replication mode by Haoyang Wang, Wenli Qu, Ting Wang, Xuan Wu, Hao Sun

“…Abstract Background The study aimed to evaluate the three-dimensional accuracy of computer-aided design and computer-aided manufacturing (CAD/CAM) in fabricating all-ceramic crowns using various cuttable materials, assessed through reverse engineering. …”
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Cross‐sectional investigation of the distribution characteristics and prognostic significance of lateral lymph nodes in patients with rectal cancer by Xuyang Yang, Yang Zhang, Zixuan Zhuang, Hanjiang Zeng, Tong Zhang, Xiangbing Deng, Wenjian Meng, Ziqiang Wang

“…Abstract Background Information about the distribution characteristics and prognostic significance of lateral lymph nodes (LLNs) on primary computed tomography (CT) scan in rectal cancer patients is lacking. …”
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Numerical Investigation on Flow and Thermal Characteristics of Spray Evaporation Process in Boiler Desuperheater by Jianqing Wang, Baoqing Liu, Bin Du, Kaifei Wu, Qi Lin, Bohai Liu, Minghui Cheng

“…To better understand the process characteristics and develop the optimal desuperheater design, computational fluid dynamics (CFDs) was applied to numerically investigate the flow and thermal characteristics. …”
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Diagnostic performance of radiomics analysis for pulmonary cancer airway spread: a systematic review and meta-analysis by Jie Chen, Xinyue Zhang, Chi Xu, Kefu Liu

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Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks by R. Augustian Isaac, P. Sundaravadivel, V. S. Nici Marx, G. Priyanga

“…This strategic resource allocation optimally schedules resources within the Vehicular Edge computing (VEC) network, ensuring the most efficient utilization. …”
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Adaptive Video Anomaly Detection by Attention-Based Relational Knowledge Distillation by Burcak Asal, Ahmet Burak Can

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Scaling controlled random tests based on Hadamard matrices by V. N. Yarmolik, M. A. Shauchenka, V. V. Petrovskaya

“…With an increase in the threshold values of the difference measures of binary test patterns, the computational complexity of constructing such tests increases. …”
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BTCP: Binary Temporal Convolutional Network-Based Data Prefetcher for Low Inference Latency and Storage Overhead by Chang Ho Ryu, Tae Hee Han

“…The efficiency of BTCP is fundamentally attributed to its binary temporal convolutional network architecture, which achieves low inference latency and storage overhead by processing memory patterns through efficient binary operations. BTCP aids in detecting memory patterns by processing addresses and program counters through bitwise XOR operations and feeding them into a neural network. …”
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