A systematic review of the literature in relation to the theoretical knowledge base for the-Clinical-functional research by evaluation including the modern apparatus modality of fu... by Irina Raluca Petcu, Gelu Onose

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Towards Mine 4.0: A Proposed Multi-Layered Architecture for Real-Time Surveillance and Anomaly Detection in an Open-Pit Phosphate Mine by Laila El Hiouile, Ahmed Errami, Nawfel Azami

“…Given the global importance and limited availability of phosphate, optimizing the use of this critical resource and minimizing its wastage are of paramount importance. …”
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Antioxidant Peptides from the Fruit Source of the Oil Crop <i>Litsea cubeba</i> Ameliorate FFA-Induced Oxidative Stress Injury: Based on Nrf2/Keap1 Pathway and Molecular Dynamics S... by Li Li, Ying Hu, Yu-Mei Wang, Xiao-Xue Wu, Si-Tong Lin, Hang Li, Ji Zhang, Guo-Rong Fan, Zong-De Wang, Bin Wang, Shang-Xing Chen

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Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers by Elif Sertel, Can Michael Hucko, Mustafa Erdem Kabadayı

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A Lightweight, Centralized, Collaborative, Truncated Signed Distance Function-Based Dense Simultaneous Localization and Mapping System for Multiple Mobile Vehicles by Haohua Que, Haojia Gao, Weihao Shan, Xinghua Yang, Rong Zhao

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A Comprehensive Quality Evaluation System for Medicinal Leeches by Integrating Macromolecular Protein Analysis and Small-Molecule Marker Detection as Well as Quantitative Bioassays by Wenduan Wang, Yufei Liu, Wenjiao Lou, Liangmian Chen, Tianze Xie, Zhimin Wang, Yue Ma, Huimin Gao

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Dark Ship Detection via Optical and SAR Collaboration: An Improved Multi-Feature Association Method Between Remote Sensing Images and AIS Data by Fan Li, Kun Yu, Chao Yuan, Yichen Tian, Guang Yang, Kai Yin, Youguang Li

“…Secondly, by integrating position, dimensions (length and width), and course characteristics, we devise a joint cost function to evaluate the combined significance of multiple features. …”
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Unveiling the placental bacterial microbiota: implications for maternal and infant health by Zhuojun Xie, Zhongsheng Chen, Yang Chai, Wang Yao, Guangyu Ma

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Adaptive building engineering component extraction model based on DSOD by Na Lv, Xuan Yang

“…With the purpose to bring up the extraction efficiency and accuracy of building construction image component information, the dense block structure and loss function were proposed to optimize the deep supervised object detection algorithm, and an adaptive building construction component extraction model based on this algorithm was constructed. …”
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The Ion Formation and Quantitative Response of Isoprene, Monoterpenes and Terpenoids in Ion Mobility Spectrometry with Atmospheric-Pressure Chemical Ionization as a Function of Tem... by Thomas Mayer, Ralf Petrich, Helko Borsdorf

“…In this study, we investigated the ion formation processes and the quantitative response of isoprene, monoterpenes and monoterpenoids as a function of the temperature of the spectrometer using a tritium ionization source. …”
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Cucumber Leaf Segmentation Based on Bilayer Convolutional Network by Tingting Qian, Yangxin Liu, Shenglian Lu, Linyi Li, Xiuguo Zheng, Qingqing Ju, Yiyang Li, Chun Xie, Guo Li

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HGCS&#x2014;A Multiplex Transmission Method for Wide-Area Unmanned Aerial Vehicle Cluster Inspection Data in Hybrid Networked Transmission Lines by Ruchao Liao, Xionggang Li, Jinchao Guo, Wenxing Sun, Guoqiang Li

“…The HGCS algorithm in comparison to the existing algorithms uses the innovative hybrid approach, exploiting the strengths of different components to get an optimal balance between computational efficiency and resource utilization. These results show that HGCS is a robust choice to deal with fault detection in less time with a fair distribution of resources.…”
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Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning by Mohsen Mozafari, Andrew J. Law, Rafik A. Goubran, James R. Green

“…Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. …”
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Do capture and survey methods influence whether marked animals are representative of unmarked animals? by John R. Fieberg, Kurt Jenkins, Scott McCorquodale, Clifford G. Rice, Gary C. White, Kevin White

“…The lone exception to this rule was for the cohort of radiocollared moose in Minnesota, which exhibited a slight decrease in detection probabilities over time. Differences in detection probabilities for marked and unmarked animals may not be a significant problem for sightability models, provided that the source of the variability can be captured by model covariates (e.g., heterogeneity is tied to an individual's propensity to be in heavy cover). …”
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Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

“…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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Mid-Water Ocean Current Field Estimation Using Radial Basis Functions Based on Multibeam Bathymetric Survey Data for AUV Navigation by Jiawen Liu, Kaixuan Wang, Shuai Chang, Lin Pan

“…This makes unknown ocean currents a significant error source that leads to substantial cumulative positioning errors. …”
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Research on Automotive Radar Mutual Interference Mitigation Method based on V2X Communication Assistance by Yangshui Gao, Liping Kui, Qinbiao Yang, Lei Xiong, Rong Zhang, Zhenting Chen

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New Cation Sensors Based on Eugenol-Derived Azo Dyes by José R. A. Coelho, Ana Rita F. Pacheco, Diogo C. Domingues, Ana Rita O. Rodrigues, Akani A. Temitope, Paulo J. G. Coutinho, Maria José G. Fernandes, Elisabete M. S. Castanheira, M. Sameiro T. Gonçalves

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Enhanced selectivity of carbon quantum dots for metal ion detection through surface modification by heteroatom doping: A study on optical properties and theoretical approach by María Belén Cánchig, Floralba López, Zaillmar Morales-Navarro, Alexis Debut, Karla Vizuete, Thibault Terencio, Manuel Caetano, Juan Pablo Saucedo-Vázquez

“…The study also demonstrated that functionalization with sulfur could modulate emission frequencies, enhancing the detection capabilities for specific ions. …”
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Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform by Jingjing Zhao, Chang Zhu, Bo Leng, Jiantao Qi

“…Its main function is to use computer vision technology to make correct and fair judgments on controversial decisions in badminton matches. …”
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